Extension Publications


 

2016

Bartels, W. 2016. GODZILLA EL NINO, IRRIGATION SCHEDULING & THE POWER OF PHENOLOGY: Tristate Climate Learning Network for Row Crop Agriculture 13th meeting. Southeast Climate Extension/SECC report.

Furman, C., Bartels, W., and Bolson, J. 2016. Diversity, process, and partnerships: Enhancing climate change adaptation through meaningful stakeholder engagement. Southeast Climate Extension/SECC publication.

2015

Fraisse, C.W., G. Braun, W. Lusher. L. Staudt. 2015. Your farm weather station: Installation and maintenance guidelines. EDIS AE502. University of Florida IFAS Extension.

Furman, C. Rainwater Harvesting/Climate Workshop Report. October 2015.

2014

Hooper, A., Templeton, S., Dourte, D., and Walker, J. 2014. Farmer Costs of Individual Yield Insurance, Southeast Climate Extension.

Hooper, A., Dourte, D. and Templeton, S. 2014. Insurance for Row-Crop Producers in Alabama, Florida, Georgia, and the Carolinas, Southeast Climate Extension.

 

2012

Boudreau, M. Furman, C. Darby, L. McNutt, C. 2012. Anticipating drought on rainfed farms in the Southeast. B 1403 UGA Cooperative Extension Publication.

Sarkar, R. B. Ortiz, V. Sharda, and P. Srivastava. 2012. The ABCs of Climate Variability. Alabama Cooperative Extension System, ANR-1437. 4 pages.

 

2011

Fraisse CW, Breuer NE, Zierden D. 2011. Drought decision-support tools: introducing the Keetch Byram Drought Index – KBDI. UF IFAS Extension #AE471.

Fraisse CW, Gelcer EM, Woli P. 2011. Drought decision-support tools: introducing the Agricultural Reference Index for Drought – ARID. UF IFAS Extension #AE469.

Fraisse CW, Woli P, Ingram KT. 2011. Drought decision-support tools: introducing the Lawn and Garden Moisture Index – LGMI. UF IFAS Extension #AE470.

Ortiz BV, Fraisse C. 2011. Climate variability associated with La Niña or El Niño phases: introducing the climate risk tool. Alabama Cooperative Extension System Agronomy and Soil Series. Timely Information: Agriculture & Natural Resources. June, 2011.

 

 

2010

Brantley, E. and P. Srivastava. 2010. Surface water withdrawal for sustainable irrigation. ACES Timely Information Sheet. Extension Timely Information Sheets (December 2010).

Breuer N, Cabrera V, Hildebrand PE, Jones JW. 2010. Opciones de Manejo Basadas en el Clima para Productores de Ganado Vacuno en el Centro-Norte de Florida . University of Florida IFAS Extension: AE468.

Breuer NE, Fraisse, CW, McAvoy G, Letson D. 2010. Aplicabilidad del pronóstico de variabilidad climática estacional: El manejo de riesgos en la producción del tomate en el sur del estado de Florida. University of Florida IFAS Extension, AE462.

Breuer NE, Fraisse, CW, Zierden D. 2010. Los pronósticos climáticos y la toma de decisiones en agricultura. University of Florida IFAS Extension: #AE463.

Breuer NE, Langholtz M, Zierden D, Fraisse CW. 2010. El uso de los pronósticos de la variabilidad climática estacional para planificar el establecimiento de la plantación de bosques. University of Florida IFAS Extension, AE464.

Fraisse CW, Whidden A. 2010. Chill accumulation monitoring and forecasting. Circular EDIS AE 452: University of Florida – EDIS.

Sharda, V., B. Ortiz, and P. Srivastava. 2010. Impact of El Niño Southern Oscillation on Precipitation in Alabama. Extension Timely Information Sheets (August 2010).

Field, M. 2010. SECC Success Stories.

 

2009

Borisova T, Breuer NE, and Grinberg, I. 2009. Economic Approach to Valuing Information with Applications to Climate Information.

Fraisse CW, Lusher WR, Griffin M, Teixeira AA. 2009. 4-H Weather and climate workshop. Circular EDIS AE447: University of Florida – IFAS.

Pavan W, Fraisse CW, Peres NA. 2009. A web-based decision support tool for timing fungicide applications in strawberry. Circular EDIS AE450: University of Florida – IFAS.

Paz JO. 2009. Dealing with shifts in climate forecast. In: JP Beasley Jr. (ed.). Peanut Pointers. University of Georgia Cooperative Extension. Vol 46 No. 5.

Southeast Climate Consortium. 2009. Extension and the Climate Challenge: Providing Climate Service to Citizen and Communities.

Field, M. 2009. Coping with Drought in the Southeast United States: Indices and Tools for Forecasting, Monitoring, and Adaptation.

 2008

Borisova T, Breuer N, and Carriker R. 2008. Economic Impacts of Climate Change on Florida: Estimates from Two Studies. EDIS publication of IFAS Extension, University of Florida, Gainesville. Publication number FE787.

Haile SG, Fraisse CW, Nair PK, and Nair VD. 2008. Greenhouse gas mitigation in forest and agricultural lands: Reducing emissions. University of Florida IFAS Extension Circular EDIS AE443.

Haile SG, Fraisse CW, Nair VD, and Nair PK. 2008. Greenhouse gas mitigation in forest and agricultural lands: Carbon sequestration. University of Florida IFAS Extension, Circular EDIS AE435.

Southeast Climate Consortium. 2008. Climate Change Basics for the Southeast U.S.A.

2007

Fraisse CW, Bellow J, Brown CM. 2007. Degree days: Heating, cooling, and growing. University of Florida IFAS Extension, Circular EDIS AE428.

Fraisse CW, Paz JO, Brown CM. 2007. Using seasonal climate variability forecasts: Crop yield risk. University of Florida IFAS Extension, Circular EDIS AE404.

2005

Fraisse CW, Garcia y Garcia A, Novak JL, Jones JW, and Hoogenboom G. 2005. Using crop models and climate forecasts to aid in peanut crop insurance decisions.University of Florida IFAS Extension, Circular EDIS AE285.

Breuer NE, Cabrera V, Hildebrand PE, and Jones JW. 2005. Climate-Based Management Options for North Central Florida Beef Cattle Producers.

Cabrera VE, Breuer NE, Hildebrand PE, and Fraisse C. 2005. Climate-based management to reduce nitrate leaching from dairies in the Suwannee River Basin.

 

2004

Breuer N, Gilreath P, McAvoy G, Letson D, Fraisse C. 2004. Using seasonal climate variability forecasts: Risk management for tomato production in South Florida. Florida Cooperative Extension Services, Gainesville, FL. IFAS Publication CIR 1450.

Breuer N, Langholtz M, Zierden D, and Fraisse C. 2004. Using seasonal climate variability forecasts to plan forest plantation establishment. Florida Cooperative Extension Services, Gainesville, FL. IFAS/EDIS publication ABE 354.

Fraisse C, Zierden D, Breuer NE, Jackson J, Brown C. 2004. Climate forecast and decision making in agriculture. Florida Cooperative Extension Services, Gainesville, FL. IFAS Publication ABE 352.

Guerra, L.C., A. Garcia y Garcia, and G. Hoogenboom. 2004. Cotton growth and development monitoring during 2003, in Cotton Research-Extension Report 2003, edited by O.L. May, P.H. Jost, and P.M. Roberts, pp. 46-51, The University of Georgia, Athens, GA, April 2004.

Peer-Reviewed Publications


Skip to:

 

 

2015

  • Asseng S, Ewert F, Martre P, Roetter RP, Lobell DB, Cammarano D, Kimball BA, Ottman MJ, Wall GW, White JW, Reynolds MP, Alderman PD, Prasad PVV, Aggarwal PK, Anothai J, Basso B, Biernath C, Challinor AJ, De Sanctis G, Doltra J, Fereres E, Garcia-Vile M, Gayler S, Hoogenboom G, Hunt LA, Izaurralde RC, Jabloun M, Jones CD, Kersebaum KC, Koehler AK, Mueller C, Kumar SN, Nendel C, O’Leary G, Olesen JE, Palosuo T, Priesack E, Rezaei EE, Ruane AC, Semenov MA, Shcherbak I, Stoeckle C, Stratonovitch P, Streck T, Supit I, Tao F, Thorburn PJ, Waha K, Wang E, Wallach D, Wolf I, Zhao Z, Zhu Y (2015) Rising temperatures reduce global wheat production. Nature Climate Change 5: 143-147. doi: 10.1038/nclimate2470.
  • Bao, Y., G. Hoogenboom, R.W. McClendon, and J.O. Paz. 2015. Potential adaptation strategies for rainfed soybean production in the south-eastern USA under climate change based on the CSM-CROPGRO-Soybean model. Journal of Agricultural Science 153(5):798-824, doi:10.1017/S0021859614001129.
  • Bao, Y., G. Hoogenboom, R.W. McClendon, and P. Urich. 2015. Soybean production in 2025 and 2050 in the southeastern USA based on the SimCLIM and the CSM-CROPGRO-Soybean models. Climate Research 63:73-89, doi: 10.3354/cr01281.
  • Damianidis, D., B. V. Ortiz, G. L. Windham, B. Scully, P. Woli. 2015. Site-specific risk assessment of corn aflatoxin contamination using a drought index. Accepted to be published in Proceedings European Conference of Precision Agriculture. Israel. July 15-17, 2015. http://media.wix.com/ugd/349100_0d66d33571c54c28b016fb73f64328bb.pdf
  • Dourte, D.R., Bartels, W. and C.W. Fraisse 2015. Exploring changes in rainfall intensity and seasonal variability in the Southeastern U.S.: Stakeholder engagement, observations, and adaptation. Climate Risk Management. Volume 7, 2015, Pages 11–19
  • Khare, Y.P., Muñoz-Carpena, R., Rooney, R.W., and C.J. Martinez. 2015. A multi-criteria trajectory-based parameter sampling strategy for the screening method of elementary effects. Environmental Modeling and Software, 64: 230-239. doi:10.1016/j.envsoft.2014.11.013
  • Mirhosseini, G., P. Srivastava, and A. Sharifi. 2015. Developing Probability-Based IDF Curves Using Kernel Density Estimator. J. Hydrol. Eng., 10.1061/(ASCE)HE.1943-5584.0001160, 04015002.
  • Misra, V. and S. Bastola, 2015: Reconciling droughts and landfalling tropical cyclones in the Southeastern United States. Clim. Dyn. In press.
  • Sharma, S., P. Srivastava, L. Kalin, X. Fang, and E. Elias. 2015. Performance Comparison of Adoptive Neuro Fuzzy Inference System (ANFIS) with Loading Simulation Program C++ (LSPC) Model for Streamflow Simulation in El Niño Southern Oscillation (ENSO) Affected Watershed. Expert Systems with Applications, 42(4): 2213-2223.
  • Torres, C., M. Kohmann, C.W. Fraisse. 2015. Quantification of greenhouse gas emissions for carbon neutral farming in the Southeastern USA. Agricultural Systems 137:64-75.
  • Vellidis, G., V. Liakos, C. Lowrance, and M. Tucker. 2015. The University of Georgia Smart Sensor Array for scheduling irrigation: New developments. In S. Boyd, M. Huffman and B. Robertson (eds) Proceedings of the 2015 Beltwide Cotton Conference, San Antonio, TX, National Cotton Council, Memphis, TN (paper 15875).
  • Vellidis, G., V. Liakos, C. Perry, P. Roberts, M. Tucker, and E. Barnes. 2015. Field evaluation of a smartphone app for scheduling irrigation in cotton. In S. Boyd, M. Huffman and B. Robertson (eds) Proceedings of the 2015 Beltwide Cotton Conference, San Antonio, TX, National Cotton Council, Memphis, TN (paper 15863).

2014

  • Arnold, J.S. and W. Bartels. 2014. Participatory Methods to Promote Learning and Adaptation. Chapter in Beyond Decentralization: Adaptive Cross-scalar Governance of Natural Resources. Eds. G. Barnes and B. Child. Earthscan.
  • Asseng S, Ewert F, Martre P, Rötter RP, Lobell DB, Cammarano D, Kimball BA, Ottman MJ, Wall GW, White JW, Reynolds MP, Alderman PD, Prasad PVV, Aggarwal PK, Anothai J, Basso B, Biernath C, Challinor AJ, De Sanctis G, Doltra J, Fereres E, Garcia-Vila M, Gayler S, Hoogenboom G, Hunt LA, Izaurralde RC, Jabloun M, Jones CD, Kersebaum KC, Koehler A-K, Müller C, Naresh Kumar S, Nendel C, O’Leary G, Olesen JE, Palosuo T, Priesack E, Eyshi Rezaei E, Ruane AC, Semenov MA, Shcherbak I, Stöckle C, Stratonovitch P, Streck T, Supit I, Tao F, Thorburn PJ, Waha K, Wang E, Wallach D, Wolf J, Zhao Z, Zhu Y. 2014. Rising temperatures reduce global wheat production. Nature Climate Change. doi: 10.1038/nclimate2470.
  • Asseng S, Zhu Y, Basso B, Wilson T and Cammarano D 2014. Chapter 233. Simulation Modelling: Applications in Cropping Systems. In: Encyclopedia of Agricultural Science. Elsevier.
  • Athayde, S. F., Bartels, W., Buschbacher, R., and R. D. R. Seluchinesk.2014. Collaborative Learning, Transdisciplinarity and Socio-environmental Management in the Amazon: Approaches to Knowledge.
  • Bolson, J. & Treuer, G., (2014). Chapter 16: Barriers and aids to developing adaptive capacity in the water sector: South Florida Water Management case study. In Stucker, D. and Lopez-Gunn, E. Adaptation to Climate Change through Water Resources Management: Capacity, Equity, and Sustainability, Routledge/Earthscan, London, UK.
  • Diehl, D.C., Sloan, N.L., Galindo-Gonzalez, S. Bartels, W., Dourte, D.R., Furman, C.A. and C.W. Fraisse. 2014. Toward Engagement in Climate Training: Findings from Interviews with Agricultural Extension Professionals. Journal of Rural Social Sciences, 29(3), 2014, pp. 25–47.
  • Challinor A, Martre P, Asseng S, Thornton P, Ewert F. 2014. Making the most of climate impacts ensembles. Nature Climate Change 4: 77-80.
  • Ewert F, Rötter RP, Bindi M, Webber H, Trnka M, Kersebaum KC, Olesen JE, Van Ittersum MK, Janssen S, Rivington M, Semenov MA, Wallach D, Porter JR, Stewart D, Verhagen J, Gaiser T, Palosuo T, Tao F, Nendel C, Roggero PP, Bartošov L, Asseng S. 2014. Crop modelling for integrated assessment of risk to food production from climate change. Environmental Modeling & Software: 1-17. doi: 10.1016/j.envsoft.2014.12.003.
  • Furman, C. Roncoli, C. Bartels, W., Boudreau, M., Crockett, H., Gray, H., Hoogenboom, G. 2014 Social justice in climate services: engaging African American Farmers in the American South. Climate Risk Management (online) http://www.sciencedirect.com/science/article/pii/S2212096314000047.
  • Furman, C. Roncoli, C. Nelson, D. Hoogenboom, G. 2014 Growing food, growing a movement: climate adaptation and civic agriculture in the Southeastern United States. Agriculture and Human Values. 31 (1): 69-82.
  • Furman, C., C. Roncoli, W. Bartels, H. Crockett, Gray, M. Boudreau, G. Hoogenboom. 2014. Drought in the Deep South: Climate Services for African American Farmers. Climate Risk Management Vol. 2, 2014, Pages 11–25. DOI http://dx.doi.org/10.1016/j.crm.2014.02.002
  • Kassie BT, Rotter RP, Hengsdijk H, Asseng S, Van Ittersum MK, Kahiluoto H, Van Keulen H. 2014. Climate variability and change in the Central Rift Valley of Ethiopia: Challenges for rainfed crop production. Journal of Agricultural Science 152: 58-74. doi: 10.1017/s0021859612000986.
  • Kassie BT, Van Ittersum MK, Hengsdijk H, Asseng S, Wolf J, Rotter RP. 2014. Climate-induced yield variability and yield gaps of maize (Zea mays L.) in the Central Rift Valley of Ethiopia. Field Crops Research 160: 41-53. doi: 10.1016/j.fcr.2014.02.010.
  • Knox, P., C. Furman, and C. Konrad. 2014. Challenges and Opportunities for Southeast Agriculture in a Changing Climate: Perspectives from State Climatologists, The Southeastern Geographer, 54, 2, 118-136, DOI: 10.1353/sgo.2014.0017.
  • Krantz, S. Monroe, M. and W. Bartels. 2014 Creating Extension programs for change: Forest landowners and climate change communication. Applied Environmental Education and Communication. Volume 12, Issue 4, pp. 272 – 279.
  • Langholtz, M., E. Webb, B.L. Preston, A. Turhollow, N. Breuer, L. Eaton, A.W. King, S. Sokhansanj, S. S. Nair, M. Downing. 2014. Climate risk management for the U.S. cellulosic biofuels supply chain. Climate Risk Management.
  • Liu, B., L., L., Tian, L., Cao, W., Zhu, Y. & Asseng, S. 2014. Post-heading heat stress and yield impact in winter wheat of China. Global Change Biology 20(2): 372-381.
  • Marin, F. R., and J. W. Jones. 2014. Process-based simple model for simulating sugarcane growth and production. Scientia Agricola 71(1):1-16.
  • Martre P, Wallach D, Asseng S, Ewert F, Jones JW, Rötter RP, Boote KJ, Ruane AC, Thorburn PJ, Cammarano D, Hatfield JL, Rosenzweig C, Aggarwal PK, Angulo C, Basso B, Bertuzzi P, Biernath C, Brisson N, Challinor AJ, Doltra J, Gayler S, Goldberg R, Grant RF, Heng L, Hooker J, Hunt LA, Ingwersen J, Izaurralde RC, Kersebaum KC, Müller C, Kumar SN, Nendel C, O’leary G, Olesen JE, Osborne TM, Palosuo T, Priesack E, Ripoche D, Semenov MA, Shcherbak I, Steduto P, Stöckle CO, Stratonovitch P, Streck T, Supit I, Tao F, Travasso M, Waha K, White JW, Wolf J. 2014. Multimodel ensembles of wheat growth: many models are better than one. Global Change Biology. doi: 10.1111/gcb.12768.
  • McNider, R.T., C. Handyside, K. Doty, W.L. Ellenburg, J.F. Cruise, J.R. Christy, D. Moss, V. Sharda and G. Hoogenboom. (2014). An Integrated Crop and Hydrologic Modeling System to Estimate Hydrologic Impacts of Crop Irrigation Demands. Environmental Modeling and Software, In Press, available online November 1, 2014. ISSN 1364-8152, DOI:10.1016/j.envsoft.2014.10.009
  • Mirhosseini, G., P. Srivastava, and X. Fang. 2014. Developing Rainfall Intensity-Duration-Frequency (IDF) Curves for Alabama under Future Climate Scenarios using Artificial Neural Network (ANN). J. Hydrol. Eng., 10.1061/(ASCE)HE.1943-5584.0000962.
  • Nag, B., V. Misra, S. Bastola, 2014: Validating ENSO teleconnections on Southeastern United States winter hydrology. Earth Interactions. Doi:EI-D-14-0007.1.
  • O’leary G, Christy B, Nuttall J, Huth N, Cammarano D, Stöckle C, Basso B, Shcherbak I, Fitzgerald G, Lou Q, Farre-Codina I, Palta J, Asseng S. 2014. Response of wheat growth, grain yield and water use to elevated CO2 under a Free Air CO2 Enrichment (FACE) experiment and modelling in a semi-arid environment. Global Change Biology. doi:10.1111/gcb.12830.
  • Sharma, S., P. Srivastava, X. Fang, and L. Kalin. 2014. Hydrologic Simulation Approach for El Niño Southern Oscillation (ENSO)-Affected Watershed with Limited Rain Gauge Stations. Hydro-logical Sciences Journal, DOI 10.1080/02626667.2014.952640.
  • Ramírez Rodrigues MA, Asseng S, Fraisse C, Stefanova L, Eisenkolbi A. 2014. Tailoring wheat management to ENSO phases for increased wheat production in Paraguay. Climate Risk Management 3: 24-38.
  • Raymundo R, Asseng S, Cammarano D, Quiroz R. 2014. Potato, sweet potato, and yam models for climate change: A review. Field Crops Research 166: 173-185. doi: 10.1016/j.fcr.2014.06.017.
  • Risko, S.L. and C.J. Martinez. 2014. Forecasts of seasonal streamflow in west-central Florida using multiple climate predictors. Journal of Hydrology, 519A: 1130-1140. doi: 10.1016/j.jhydrol.2014.08.043
  • Templeton, S., M.S. Perkins, H. Dinon Aldridge, W.C. Bridges Jr., B.R. Lassiter. 2014. Usefulness and uses of climate forecasts for agricultural extension in South Carolina, USA. Reg. Environ Change 14:645–655.
  • Tabari, H., Hosseinzadeh-Talaee, P.,Willems, P., and C.J. Martinez. 2014. Validation and calibration of solar radiation equations for estimating daily reference evapotranspiration at cool semi-arid and arid locations. Hydrological Sciences Journal, In Press. doi: 10.1080/02626667.2014.947293
  • Tian, D. and C.J. Martinez. 2014. The GEFS-based daily reference evapotranspiration (ETo) forecast and its implication for water management in the southeastern United States. Journal of Hydrometeorology, 15(3): 1152-1165. doi: 10.1175/JHM-D-13-0119.1
  • Tian, D., Martinez, C.J., and W.D. Graham. 2014. Seasonal prediction of regional reference evapotranspiration based on Climate Forecast System version 2. Journal of Hydrometeorology, 15(3): 1166-1188. doi: 10.1175/JHM-D-13-087.1
  • Tian, D., Martinez, C.J., Graham, W.D., and S. Hwang. 2014. Statistical downscaling of multi-model forecasts for seasonal precipitation and surface temperature over the southeastern USA. Journal of Climate, 27(22): 8384-8411. doi: 10.1175/JCLI-D-13-00481.1
  • Wallach, D., D. Makowski, J. W. Jones, and F. Brun. 2014. Working with Dynamic Crop Models: Methods, Tools, and Examples for Agriculture and Environment, 2nd Edition. Elsevier/Academic Press.
  • Woli, P., B.V. Ortiz, D. Buntin, K. Flanders. 2014. El Niño-Southern Oscillation (ENSO) Effects on Hessian Fly (Diptera: Cecidomyiidae) Infestation in the Southeastern USA. Environmental Entomology Journal. doi: http://dx.doi.org/10.1603/EN14032

2013

  • Asseng, S., Bartels, W. L., Boote, K. J., Breuer, N. E., Cammarano, D., Fortuin, C. C., Fraisse, C., Furman, C. A., Hoogenboom, G., Ingram, K., Jones, J. W., Letson, D., Ortiz, B. V., Risse, S. D., Royce, F., Shuford, S. D. & Solis, D. (2013a). Agriculture and climate change in the Southeast USA. In Climate of the Southeast United States: Variability, Change, Impacts, and Vulnerability., 128-147 (Eds K. T. Ingram, K. Dow, L. Carter and A. J. (eds.)). Washington D.C.: Island Press.
  • Asseng, S., Ewert, F., Rosenzweig, C., Jones, J. W., Hatfield, J. L., Ruane, A. C., Boote, K. J., Thorburn, P. J., Rotter, R. P., Cammarano, D., Brisson, N., Basso, B., Martre, P., Aggarwal, P. K., Angulo, C., Bertuzzi, P., Biernath, C., Challinor, A. J., Doltra, J., Gayler, S., Goldberg, R., Grant, R., Heng, L., Hooker, J., Hunt, L. A., Ingwersen, J., Izaurralde, R. C., Kersebaum, K. C., Mueller, C., Kumar, S. N., Nendel, C., O’Leary, G., Olesen, J. E., Osborne, T. M., Palosuo, T., Priesack, E., Ripoche, D., Semenov, M. A., Shcherbak, I., Steduto, P., Stoeckle, C., Stratonovitch, P., Streck, T., Supit, I., Tao, F., Travasso, M., Waha, K., Wallach, D., White, J. W., Williams, J. R. & Wolf, J. 2013. Uncertainty in simulating wheat yields under climate change. Nature Climate Change 3(9): 827-832.
  • Asseng, S. & Pannell, D. J. (2013). Adapting dryland agriculture to climate change: Farming implications and research and development needs in Western Australia. Climatic Change 118(2): 167-181.
  • Asseng, S., Travasso, M. I., Ludwig, F. & Magrin, G. O. 2013. Has climate change opened new opportunities for wheat cropping in Argentina? Climatic Change 117(1/2): 181-196.
  • Bassu, S., Asseng, S., Giunta, F. & Motzo, R. 2013. Optimizing triticale sowing densities across the Mediterranean Basin. Field Crops Research 144: 167-178.
  • Bolson, J., C. Martinez, N. Breuer, P. Srivastava, and P. Knox. 2013. Climate information use among southeast US water managers: beyond barriers and toward opportunities. Regional Environmental Change 13 (Suppl. 1): 141-151.
  • Boote, K. J., Jones, J. W., White, J. W., Asseng, S. & Lizaso, J. I. 2013. Putting mechanisms into crop production models. Plant Cell and Environment 36(9): 1658-1672.
  • Basso, B., Jones, J. W., Boote, K. J. & DiNapoli, S. 2013. Evaluating the fidelity of downscaled climate data on simulated wheat and maize production in the southeastern US. Regional Environmental Change 13(Suppl. 1): 101-110.
  • Christy, J.R., 2013. Monthly temperature observations for Uganda. J. Applied Meteor. Clim. 52, 2363- 2372. DOI: 10.1175JAMC-D-13-012.1.
  • Christy, J.R., 2013: Reply to “Comments on ‘Searching for Information in 133 Years of California Snowfall Observations’”. J. Hydrometeor., 14, 383-386. DOI:10.1175/JHM-D-12-089.1.
  • Colbert, A.J., B.J. Soden, G.A. Vecchi, B.P. Kirtman. 2013. The Impact of Anthropogenic Climate Change on North Atlantic Tropical Cyclone Tracks. J. Climate, 26, 4088–4095.
  • Douglass, D.H. and J.R. Christy, 2013. Reconciling observations of global temperature change: 2013. Energy Env. 24, 415-419.
  • Dzotsi KA, Basso B, Jones JW, 2013. Development, uncertainty and sensitivity analysis of the simple SALUS crop model in DSSAT. Ecological Modelling 260: 62-76.
  • Dzotsi KA, Matyas CJ, Jones JW, Baigorria G, Hoogenboom G, 2013. Understanding high resolution space-time variability of rainfall in southwest Georgia, USA. International Journal of Climatology, doi:10.1002/joc.3904.
  • Gelcer E, Fraisse C, Dzotsi KA, Hu Z, Mendes R, 2013. Effect of El Niño Southern Oscillation on the space- time variability of Agricultural Reference Index for Drought in midlatitudes. Agricultural and Forest Meteorology 174-175: 110-128.
  • Hua, C., E.K. Schneider, B.P. Kirtman, I. Colfescu. 2013. Evaluation of Weather Noise and Its Role in Climate Model Simulations*. J. Climate, 26, 3766–3784.
  • Ingram, K., K. Dow, L. Carter, J, Anderson, eds. 2013. Climate of the Southeast United States: Variability, Change, Impacts, and Vulnerability. Washington DC, Island Press. 328 pages.
  • Isika, S., L. Kalin, J.E. Schoonover, P. Srivastava, B.G. Lockaby. 2013. Modeling effects of changing land use/cover on daily streamflow: An Artificial Neural Network and curve number based hybrid approach. Journal of Hydrology 485 (2) 103–112.
  • Johnson, N.T., Martinez, C.J., Kiker, G.A., and S. Leitman. 2013. Pacific and Atlantic Ocean influences on streamflow in the Apalachicola-Chattahoochee-Flint river basin. Journal of Hydrology, 489: 160-179.
  • Kassie, B. T., Hengsdijk, H., Rotter, R., Kahiluoto, H., Asseng, S. & Van Ittersum, M. 2013. Adapting to Climate Variability and Change: Experiences from Cereal-Based Farming in the Central Rift and Kobo Valleys, Ethiopia. Environmental Management 52(5): 1115-1131.
  • Kassie, B. T., Rötter, R. P., Hengsdijk, H., Asseng, S., Van Ittersum, M. K., Kahiluoto, H. & Van Keulen, H. 2013. Climate variability and change in the Central Rift Valley of Ethiopia: challenges for rainfed crop production. The Journal of Agricultural Science: 1-17.
  • Khare, Y.P., Martinez, C.J., and R. Muñoz-Carpena. 2013. Effect of parameter variability on drought model applications: A case study using the Agricultural Reference Index for Drought (ARID). Agronomy Journal, 105(5): 1417-1432.
  • Koehler, A.-K., Challinor, A. J., Hawkins, E. & Asseng, S. 2013. Influences of increasing temperature on Indian wheat: quantifying limits to predictability. Environmental Research Letters 8(3).
  • Mantsis, D.F., A.C. Clement, B. Kirtman, A.J. Broccoli, M.P. Erb. 2013. Precessional Cycles and Their Influence on the North Pacific and North Atlantic Summer Anticyclones. J. Climate, 26, 4596–4611.
  • McOmber, C., Panikowski, A., McKune, S., Bartels, W., Russo, S. 2013. Investigating Climate Information Services through a Gendered Lens. CCAFS Working Paper no. 42. CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS). Copenhagen, Denmark. Available online at: www.ccafs.cgiar.orgPublication on Florida WCA.
  • Mirhosseini, G. and P. Srivastava. 2013. How Climate Change Could Affect Alabama’s Rainfall – And Why It Matters. Auburn Speaks 2013: On Water. Mirhosseini, G., P. Srivastava, and L. Stefanova. 2013. The impact of climate change on rainfall Intensity– Duration–Frequency (IDF) curves in Alabama. Regional Environmental Change 13 (Suppl. 1): S25-S33.
  • Misra, V., S.M. DiNapoli. 2013. Understanding the wet season variations over Florida. Climate Dynamics. Volume 40, Issue 5-6, pp 1361-1372. Rosenzweig, C., J. Elliott, D. Deryng, A. C. Ruane, A. Arneth, K. J. Boote, C. Folberth, M. Glotter, C. Müller, K. Neumann, F. Piontek, T. Pugh, E. Schmid, E. Stehfest, and J. W. Jones. 2013. Assessing agricultural risks of climate change in the 21st century in a global gridded crop model intercomparison. Proc. Nat. Acad. Sci. doi:10.1073/pnas.1222463110.
  • Rosenzweig, C., Jones, J. W., Hatfield, J. L., Ruane, A. C., Boote, K. J., Thorburne, P., Antle, J. M., Nelson, G. C., Porter, C., Janssen, S., Asseng, S., Basso, B., Ewert, F., Wallach, D., Baigorria, G. & Winter, J. M. 2013. The Agricultural Model Intercomparison and Improvement Project (AgMIP): Protocols and pilot studies. Agricultural and Forest Meteorology 170: 166-182. Ruane, A. C., S. McDermid, C. Rosenzweig, G. A. Baigorria, J. W. Jones, C. C. Romero, and L. D. Cecil. 2013. Carbon–Temperature–Water change analysis for peanut production under climate change: a prototype for the AgMIP Coordinated Climate-Crop Modeling Project (C3MP). Global Change Biology. doi:10.1111/gcb.12412.
  • Sharda, V. and P. Srivastava. 2013. Forecasting: Climate Variability and Drought in the Southeast. Auburn Speaks 2013: On Water.
  • Sharda, V., P. Srivastava, L. Kalin, K. Ingram, and M. Chelliah. 2013. Development of Community Water Deficit Index: Drought-Forecasting Tool for Small- to Mid-Size Communities of the Southeastern United States. Journal of Hydrologic Engineering, 18(7): 846–858.
  • Sharma, S., P. Srivastava, and L. Kalin. 2013. Using Seasonal to Inter-Annual Climate Variability for Point Source Discharge Permitting in a Complex River System. Auburn Speaks 2013: On Water.
  • Solís, D. and D. Letson. 2013. “Assessing the Value of Climate Information and Forecasts for the Agricultural Sector in the Southeastern United States: Multi-Output Stochastic Frontier Approach”. Regional Environmental Change. 13 (Supplement 1): 5-14.
  • Solís, D., L. Perruso, J. del Corral, B. Stoffle and D. Letson. 2013. “Measuring the Initial Economic Effects of Hurricanes on Commercial Fish Production: The US Gulf of Mexico Grouper (Serranidae) Fishery”. Natural Hazards 66 (2): 271-289.
  • Stefanova, L., P. Sura, M. Griffin. 2013. Quantifying the Non-Gaussianity of Wintertime Daily Maximum and Minimum Temperatures in the Southeast. J. Climate, 26, 838–850.
  • White, J. W., L. A. Hunt, K. J. Boote, J. W. Jones, J. Koo, S. Kim, C. H. Porter, P. W. Wilkens, and G. Hoogenboom. 2013. Integrated description of agricultural field experiments and production: The ICASA Version 2.0 Data Standards. Computers and Electronics in Agriculture 96:1-12.
  • Yang, X., Asseng, S., Wong, M. T. F., Yu, Q., Li, J. & Liu, E. 2013. Quantifying the interactive impacts of global dimming and warming on wheat yield and water use in China. Agricultural and Forest Meteorology 182: 342-351.

2012

  • Achuthavarier, D., V. Krishnamurthy, B.P. Kirtman, B. Huang. 2012. Role of the Indian Ocean in the ENSO–Indian Summer Monsoon Teleconnection in the NCEP Climate Forecast System. J. Climate, 25, 2490–2508.
  • Bartels, W. L., Furman, C. A., Diehl, D. D., Royce, F. S., Dourte, D. R., Ortiz, B. V., et al. 2012.Warming up to climate change: A participatory approach to engaging with agricultural stakeholders in the Southeast US Reg. Environ. Change.
  • Basso, B., Ritchie, J. T., & Jones, J. W. 2012. On modeling approaches for effective assessment of hydrology of bioenergy crops: Comments on Le et al. (2011) Proc Natl Acad Sci USA 108:15085- 15090. European Journal of Agronomy. 38, 64-65.
  • Boote, J. K., Rybak, M. R., Scholberg, J. M. S., & Jones, J. W. 2012. Improving the CROPGRO-Tomato Model for Predicting Growth and Yield Response to Temperature HortScience. 47(8), 1038-1049.
  • Cammarano, D., Payero, J., Basso, B., Grace, P., & Stefanova L. 2012. Adapting wheat sowing dates to projected climate change in Australia sub-tropic: analysis of crop water use and yield. Crop and Pasture Science, 63(10), 974-986.
  • DiNapoli, S. M., & Misra, V. 2012. Reconstructing the 20th century high-resolution climate of the southeastern United States. J. Geophys. Res. 117 (D19).
  • DiNezio, P.N., B.P. Kirtman, A.C. Clement, S.K. Lee, G.A. Vecchi, A. Wittenberg. 2012. Mean Climate Controls on the Simulated Response of ENSO to Increasing Greenhouse Gases. J. Climate, 25, 7399– 7420.
  • He, J., Dukes, M. D., Hochmuth, G. J., Jones, J. W., & Graham, W. D. 2012. Identifying irrigation and nitrogen best management practices for sweet corn production on sandy soils using CERES-Maize model. Agricultural Water Management, 109, 61-70.
  • Hernandez, J. L., S. Hwang, F. Escobedo, A. H. Davis, and J. W. Jones. 2012. Land use change in central Florida and sensitivity analysis based on agriculture to urban extreme conversion. Weather, Climate and Society 4:200-211.
  • Hwang, S., Martinez, C.J., and T. Asefa. 2012. Assessing the benefits of incorporating rainfall forecasts into monthly flow forecast system of Tampa Bay Water, Florida. Journal of the Korean Society of Agricultural Engineers 54(4): 127-135.
  • Kelly, D., D. Letson, F. Nelson, D. Nolan and D. Solís. 2012. Evolution of Subjective Hurricane Risk Perceptions: A Bayesian Approach. Journal of Economic Behavior & Organization 81(2): 644-663.
  • Martinez, C. J., Maleski, J. J., & Miller, M. F. 2012. Trends in precipitation and temperature in Florida, USA Journal of Hydrology, 452-453, 259-281. Misra, V., & Michael, J.P. 2012. Varied diagnosis of the observed surface temperature trends in the southeast US. J. Climate.
  • Pathak, T.B., J.W. Jones, C.W. Fraisse. 2012. Cotton Yield Forecasting for the Southeastern United States Using Climate Indices. Applied Engineering in Agriculture. 28(5): 711-723.
  • Pathak, T.B., J.W. Jones, C.W. Fraisse, D. Wright and G. Hoogenboom. 2012. Uncertainty Analysis and Parameter Estimation for the CSM-CROPGRO-Cotton Model. Agronomy Journal. Vol. 104 No. 5, p. 1363- 1373.
  • Paolino, D.A., J.L. Kinter, B.P. Kirtman, D. Min, D.M. Straus. 2012. The Impact of Land Surface and Atmospheric Initialization on Seasonal Forecasts with CCSM. J. Climate, 25, 1007–1021.
  • Roncoli C, Breuer N, Zierden D, Fraisse C, Broad K, Hoogenboom G. 2012. The art of the science: climate forecast for wildfire management in the southeastern United States, Climatic Change. 113:1113-1121. DOI 10.1007/s10584-012-0526-1.
  • Sharda, V., P. Srivastava, K. Ingram, M. Chelliah, and L. Kalin. 2012. Quantification of El Niño Southern Oscillation impact on precipitation and streamflows for improved management of water resources in Alabama. Journal of Soil and Water Conservation, 67(3): 158-172.
  • Sharma, S., S. Isik, P. Srivastava, and L. Kalin. 2012. Deriving Spatially-Distributed Precipitation Data Using Artificial Neural Network and Multi-Linear Regression Models. J. Hydrol. Eng., 18(2), 194–205.
  • Sharma, S., P. Srivastava, and L. Kalin. 2013. Using Seasonal to Inter-Annual Climate Variability for Point Source Discharge Permitting in a Complex River System. Auburn Speaks 2013: On Water.
  • Sharma, S., P. Srivastava, X. Fang, and L. Kalin. 2012. Incorporating Climate Variability for Point Source Discharge Permitting in a Complex River System. Transactions of the ASABE, 55(6): 2213 – 2228. Shin, D. W., and G. A. Baigorria. 2012. Potential influence of land development patterns on regional climate: a summer case study in the Central Florida. Natural Hazards. doi:10.1007/s11069-012-0118-4.
  • Stefanova, L., V. Misra, J. J. O’Brien, E. P. Chassignet and S. Hameed. 2012. Hindcast skill and predictability for precipitation and two-meter air temperature anomalies in global circulation models over the Southeast United States. Clim Dyn, 36, 161-173.
  • Tian, D. and C.J. Martinez. 2012. Comparison of two analog-based downscaling methods for regional reference evapotranspiration forecasts. Journal of Hydrology, 475: 350-364.
  • Tian, D., & Martinez, C. J. 2012. Forecasting reference evapotranspiration using retrospective forecast analogs in the southeastern United States. J. Hydrometeorology.

2011

  • Akçakaya, R.A. Fischer, I. Linkov. 2011. Integrated Modeling To Mitigate Climate Change Risk Due To Sea Level Rise: Imperiled Shorebirds on Florida Coastal Military Installations. In: I. Linkov and T.S. Bridges (eds.), Climate: Global Change and Local Adaptation. pp. 431-465. NATO Science for Peace and Security Series C: Environmental Security. Springer, Boston.
  • Convertino, M., Elsner, J.B., Muñoz-Carpena, R., Kiker, G.A., Martinez, C.J., Fischer, R.A., and I. Linkov. 2011. Do tropical cyclones shape shorebird patterns? Biogeoclimatology of snowy plovers in Florida. PLoS One, 6(1): e15683. doi:10.1371/journal.pone.001568.
  • Crane T, Roncoli C, Hoogenboom G 2011. Adaptation to climate change and climate variability: The importance of understanding agriculture as performance, NJAS -Wageningen Journal of LifeSciences, 57, 179-185.
  • Furman, C. Roncoli, C., Crane, T., Hoogenboom, G. 2011. Beyond the “fit”: introducing climate forecasts among organic farmers in Georgia (United States). Climatic Change 109 (3-4): 791-799.
  • Hwang, S., Graham, W.D., Hernandez, J., Martinez, C.J., Jones, J.W. and A. Adams. 2011. Quantitative spatiotemporal evaluation of dynamically downscaled MM5 precipitation predictions over the Tampa Bay region, Florida. Journal of Hydrometeology, 12(6): 1447-1464.
  • Kohmann MM, Fraisse CW, Clifford CC, Bohlen PJ. 2011. The carbon footprint for Florida beef cattle production systems: a case study with Buck Island Ranch. The Florida Cattleman March 2011: 64-8.
  • McNider RT, Christy JR, Moss D, Doty K, Handyside C, Limaye A, Garcia A, Hoogenboom G. 2011. A real- time gridded crop model for assessing drought stress on crops in the Southeastern United States. J Meteorology and Climate.
  • Mondal, P., P. Srivastava, L. Kalin, and S.N. Panda. 2011. Ecologically-sustainable surface water withdrawal for cropland irrigation through incorporation of climate variability. J. Soil and Water Conservation 66(4):221-232; doi:10.2489/jswc.66.4.221.
  • Pancholy, N., M. Thomas, D. Solís and N. Stratis. 2011. The Impact of Biofuels on the Propensity of Land- Use Conversion among Non-Industrial Private Forest Landowners in Florida. Forest Policy and Economics 13(7): 570-574.
  • Royce, F.S., C.W. Fraisse, G.A. Baigorria. 2011. ENSO classification indices and summer crop yields in the Southeastern USA. Agricultural and Forest Meteorology. 151(7) 817–826.
  • Stefanova, L., V. Misra, S. C. Chan, M. Griffin, J. J. O’Brien, and T. J. Smith III. 2011. A proxy for high- resolution regional reanalysis for the Southeast United States: assessment of precipitation variability in dynamically downscaled reanalyses. Climate Dynamics.

2010

  • Angeles, ME, Gonzalez JE, Erickson DJ III, Hernandez JL. 2010. The impacts of climate changes on the renewable energy resources in the Caribbean region. Journal of Solar Energy Engineering.
  • Baigorria, G.A., M. Chelliah, K.C. Mo, C.C. Romero, J.W. Jones, J.J. O’Brien and R.W. Higgins. 2010. Forecasting Cotton Yield in the Southeastern United States using Coupled Global Circulation Models. Agronomy Journal. Vol. 102 No. 1, p. 187-196.
  • Baigorria G., Jones, JW. 2010. GiST: A stochastic model for generating spatially and temporally correlated daily rainfall data. Journal of Climate 23: 5990-6008.
  • Basso B, Gargiulo O, Paustian K, Robertson PG, Porter C, Grace PR, Jones JW. 2010. Procedures for initializing soil organic carbon pools in DSSAT-Century model for agricultural systems. Soil Science of America Journal 75: 69-78.
  • Boote KJ, Allen LH, Prasad PVV, Jones JW. 2010. Testing Effects of Climate Change in Crop Models . Chapter 6 In: D. Hillel and C. Rosenzweig (eds.), Handbook of Climate Change and Agroecosystems. ICP Series on Climate Change Impacts, Adaptation, and Mitigation – Vol. 1. Imperial College Press, London UK. 109-129.
  • Boote, KJ, Jones JW, Hoogenboom G, White JW. 2010. The role of crop systems simulation in agriculture and environment . Int. J. Agric. Envir. Info. Sys. 1(1): 41-54. doi: 10.4018/jaeis.2010101303
  • Breuer NE, Fraisse CW, Cabrera VE. 2010. The Cooperative Extension Service as a boundary organization for diffusion of climate forecasts: a 5-year study . Journal of Extension 48: 4RIB7.
  • Burgman, R., R. Seager, A. Clement, and C. Herweijer. 2010. Role of tropical Pacific SSTs in global medieval hydroclimate: A modeling study. Geophys. Res. Lett., 37, L06705.
  • Christy, J.R. 2010. IPCC: Cherish it, tweak it or scrap it? Nature 463: 730-732.
  • Christy, J.R., Hnilo, J.J. 2010. Changes in snowfall in the southern Sierra Nevada of California since 1916. Energy and Environment 21: 222-234.
  • Crane, T., Roncoli, C., Paz, J., Breuer, N., Broad, K., Ingram, K., Hoogenboom, G. 2010. Forecast skill and farmers’ skills: Seasonal climate forecasts and agricultural risk management in the Southeastern United States. Weather, Climate, and Society. 2:44-59.
  • Fraisse CW, Hu Z, Simonne EH. 2010. Effect of El Niño Southern Oscillation (ENSO) on the number of leaching rain events in Florida an implications on nutrient management for tomato. HortTechnology 20:120-132.
  • Fraisse CW, Mayo D. 2010. Return of La Niña may impact your winter pasture . Southeast Cattle Advisor OCT10: 3-4.
  • He, J., Jones, J.W., Graham, W.D., Dukes, M.D. 2010. Influence of likelihood function choice for estimating crop model parameters using the generalized likelihood uncertainty estimation method. Agric Sys. 103: 256-284. doi:10.1016/j.agsy.2010.01.006.
  • Hernandez JL, Jones J. 2010. Exploring sensitivity to physics schemes and surface parameters in regional climate simulations for Central Florida. Journal of Geophysical Research – Atmospheres.
  • Jones JW, Bartels WL, Fraisse C, Boote KJ, Ingram KT, Hoogenboom G. 2010. Use of crop models for climate-agricultural decisions. Chapter 7 In: D. Hillel and C. Rosenzweig (eds.), Handbook of Climate Change and Agroecosystems. ICP Series on Climate Change Impacts, Adaptation, and Mitigation – Vol. 1. Imperial College Press, London UK. pp. 131-157.
  • Jones JW, He J, Boote KJ, Wilkens P, Porter CH, Hu Z. 2010. Estimating DSSAT Cropping System Cultivar- Specific Parameters Using Bayesian Techniques. In: L.R. Ahuja and L. Ma (eds.), Methods of Introducing System Models into Agricultural Research. Advances in Agricultural Systems Modeling 2. American Society of Agronomy, Madison, WI USA.
  • Keener, V.W.; G.W. Feyereisen, U. Lall, J. W. Jones, D.D. Bosch, R. Lowrance. 2010. El Niño Southern Oscillation ENSO influences on monthly NO3 load and concentration, streamflow and precipitation in the Little River watershed, Tifton, Georgia GA. Journal of Hydrology 381.3-4.
  • Lim YK, Stefanova LB, Chan SC, Schubert SD, O’Brien JJ. 2010. High-resolution subtropical summer precipitation derived from dynamical downscaling of the NCEP/DOE reanalysis: How much small-scale information is added by a regional model? Climate Dynamics.
  • Lonin, S.A., Hernandez, J.L., Palacios, D.M. 2010. Atmospheric Events Disrupting Coastal Upwelling in the Western Caribbean. Journal of Geophysical Research. doi:10.1029/2008JC005100.
  • Martinez CJ, Jones JW. 2010. Atlantic and Pacific sea surface temperatures and corn yields in the southeastern USA: Lagged relationships and forecast model development. Int. J. Clim. doi: 10.1002/joc.2082
  • Novak J, Nadolnyak D. 2010. Climate effects on rainfall index insurance purchase decisions. Journal of the ASFMRA 2010: 23-35.
  • Porter CH, Jones JW, Adiku W, Gijsman AJ, Gargiulo O, Naab JB. 2010. Modeling organic carbon and carbon-mediated soil processes in DSSAT v4.5. Oper Res Int J, 10(3):247-278.
  • Reyes, M., Suda, H., Brooks, M., Boyles, R. 2010. Proposed standard for automatic calculation of rainfall erosivity. Applied Engineering for Agriculture 26: 401-403.
  • Shin, D.W., Baigorria, G.A., Lim, Y.K., Cocke, S., LaRow, T.E., O’Brien, J.J., Jones, J.W. 2010. Assessing maize and peanut yield simulations with various seasonal climate data in the southeast United States. Journal of Applied Meteorology and Climatology 49: 592-603. doi:10.1175/2009JAMC2293.1.
  • Solís, D., M. Thomas and D. Letson. 2010. An Empirical Evaluation of the Determinants of Household Hurricane Evacuation Choice. J. of Development and Agricultural Economics 2(3): 188-196.
  • Srivastava, P., A.K. Gupta, L. Kalin. 2010. An Ecologically-Sustainable Surface Water Withdrawal Framework for Cropland Irrigation: A Case Study in Alabama. Environmental Management. Volume 46, Issue 2, pp 302-313.

2009

  • Bannayan M, Hoogenboom G. 2009. Using pattern recognition for estimating cultivar coefficients of a crop simulation model. Field Crops Research 111(3):290-302.
  • Breuer N. 2009. Household Resilience: Linking Sustainability, Food Security, and Improved Livelihoods in an Agrosocioecosystem. Lambert Academic Publishing, Koln. Germany. ISBN: 978-3-8383-0920-0. 357 pp.
  • Breuer NE, Fraisse CW, Hildebrand PE. 2009. Molding the pipeline into a loop: the participatory process of developing AgroClimate, a decision support system for climate risk reduction in agriculture. Journal of Service Climatology 1: 1-12.
  • Cabrera V, Solís D, Baigorria G, Letson D. 2009. Managing Climate Variability in Agricultural Analysis. In J. A. Long and D. S. Wells (eds) Ocean Circulation and Niño: New Research, Nova Publishing, Inc. 163-179.
  • Cabrera V, Solís D, Letson D. 2009. Optimal crop insurance under climate variability: Contrasting insurer and farmer interests. Transactions of the ASABE 52(2): 623-631.
  • Clement AC, Burgman RJ, Norris J. 2009. Observational and model evidence for positive low level cloud feedback. Science: 325 (5939) 460 – 464.
  • DiNezio, Pedro N., Amy C. Clement, Gabriel A. Vecchi, Brian J. Soden, Benjamin P. Kirtman, Sang-Ki Lee, 2009: Climate Response of the Equatorial Pacific to Global Warming. J. Climate, 22, 4873–4892.
  • Fraisse CW, Breuer NE, Zierden D, Ingram KT. 2009. From climate variability to climate change: challenges and opportunities to extension. Journal of Extension (On-line) 47(2) Article 2FEA9.
  • Garcia y Garcia A, Guerra LC, Hoogenboom G. 2009. Water use and water use efficiency of sweet corn under different conditions of weather and soil moisture. Agricultural Water Management 96(10): 1369- 1376.
  • Garcia y Garcia A, Guerra LA, Hoogenboom G. 2009. Impact of planting date and hybrid on early growth of sweet corn. Agronomy Journal 101(1):193-200.
  • Garcia y Garcia, A., Persson, T., Guerra, L.C., Hoogenboom, G. 2009. Response of soybean genotypes to different irrigation regimes in a humid region of the southeastern USA. Agricultural Water Management.
  • Garcia y Garcia A, Persson T, Paz JO, Fraisse CW, Hoogenboom G. 2009. Spatial and temporal variability of yield and water use efficiency of rainfed cotton conditioned to ENSO phases. Agricultural Systems.
  • Gérard-Marchant P, Stooksbury D. 2009. Evaluation of a scale-space method for the detection of changes in environmental time series. Application to streamflows in Southern Georgia, USA. Journal of Hydrometeorology.
  • Gérard-Marchant P, Stooksbury D. 2009. Impact of ENSO climate patterns on low-flows in Southern Georgia, USA. Southeastern Geographer.
  • Gérard-Marchant P, Stooksbury D, Zierden D. 2009. Alternative characterization of ENSO episodes and applications to precipitation patterns in the Southeastern US. Journal of Service Climatology.
  • Kirtman BP, Burgman RJ. 2009. The influence of persistent SST forcing in CCSM3. Journal of Climate. Krishnamurthy, V., Ben P. Kirtman, 2009: Relation between Indian Monsoon Variability and SST. J. Climate, 22, 4437–4458.
  • Letson, D.; C.E. Laciano; F.E. Bert; E.U. Weber; R.W. Katz; X.I. Gonzalez; and G.P. Podestá. 2009. Value of Perfect ENSO Phase Predictions for Agriculture: Evaluating the Impact of Land Tenure and Decision Objectives. Climatic Change 97: 145-170.
  • Marcus RR, Kiebzak S. 2009. The public, the private, the predatory, and the poor: how poorly chosen doctrines and worse governance marginalize community participants in participatory water systems in Kenya and Alabama, USA. Global Environmental Politics.
  • Martinez CJ, Baigorria GA, Jones JW. 2009. Use of climate indices to predict corn yields in southeast USA. International Journal of Climatology 29(11): 1680-1691. doi:10.1002/joc.1817.
  • Olatinwo RO, Paz JO, Brown SL, Kemerait Jr. RC, Culbreath AK, Hoogenboom G. 2009. Impact of early spring weather factors on the risk of tomato spotted wilt in peanut. Plant Disease 93(8): 783-788. http://dx.doi.org/ 10.1094/PDIS-93-8-0783.
  • Persson T, Garcia y Garcia A, Paz JO, Jones JW, Hoogenboom G. 2009. Net energy value of maize ethanol as a response to different climate and soil conditions in the southeastern USA. Biomass and Bioenergy 33(8): 1055-1064.
  • Persson T, Garcia y Garcia A, Paz J, Jones JW, Hoogenboom G. 2009. Maize ethanol feedstock production and net energy value as affected by climate variability and crop management practices. Agricultural Systems 100(1-3): 11-21.
  • Persson T, Garcia y Garcia A, Paz JO, Ortiz BV, Hoogenboom G. 2009. Simulating the production potential and net energy yield of maize-ethanol in the southeastern USA. European Journal of Agronomy.
  • Romero CC, Dukes MD, Baigorria GA, Cohen R. 2009. Comparison between the actual and the theoretical irrigation requirement for ridge citrus in Southwest Florida. Agricultural Water Management 96(3): 473-483. doi:10.1016/j.agwat.2008.09.021.
  • Schubert, S., David Gutzler, Hailan Wang, Aiguo Dai, Tom Delworth, Clara Deser, Kirsten Findell, Rong Fu, Wayne Higgins, Martin Hoerling, Ben Kirtman, Randal Koster, Arun Kumar, David Legler, Dennis Lettenmaier, Bradfield Lyon, Victor Magana, Kingtse Mo, Sumant Nigam, Philip Pegion, Adam Phillips, Roger Pulwarty, David Rind, Alfredo Ruiz-Barradas, Jae Schemm, Richard Seager, Ronald Stewart, Max Suarez, Jozef Syktus, Mingfang Ting, Chunzai Wang, Scott Weaver, and Ning Zengand. 2009. A U.S. CLIVAR Project to Assess and Compare the Responses of Global Climate Models to Drought-Related SST Forcing Patterns: Overview and Results. J. Climate, 22, 5251–5272.
  • Schoof JT, Shin DW, Cocke S, LaRow TE, Lim YK, O’Brien JJ. 2009. Dynamically and statistically downscaled seasonal temperature and precipitation hindcast ensembles for the southeastern USA. Int. J. Climatol., 29, 243-257, DOI:10.1002joc.1717.
  • Wu, W., Chen, J., Liu, H., Garcia y Garcia, A., Hoogenboom, G. 2009. Parameterizing soil and weather inputs for crop simulation models using the VEMAP database. Agriculture, Ecosystems & Environment.
  • Wu, Renguang, Ben P. Kirtman, Huug van den Dool, 2009: An Analysis of ENSO Prediction Skill in the CFS Retrospective Forecasts. J. Climate, 22, 1801–1818.
  • Yeh, Sang-Wook, Ben P. Kirtman, 2009. Internal Atmospheric Variability and Interannual-to-Decadal ENSO Variability in a CGCM. J. Climate, 22, 2335–2355.

2008

  • AitSahlia, F., Wang, C., Cabrera, V.E., Uryasev, S., and Fraisse, C.W. 2008. Optimal crop planting schedules and financial hedging strategies under ENSO-based climate forecasts. Annals of Operations Research.
  • Alvarez A, del Corral J, Solís D, and Pérez JA. 2008. “Does Intensification Improve the Economic Efficiency of Dairy Farms?”. Journal of Dairy Science 91 (9): 3699-3709.
  • Baigorria GA, Hansen JW, Ward N, Jones JW, O’Brien JJ. 2008. Assessing predictability of cotton yields in the Southeastern USA based on regional atmospheric circulations and surface temperatures. J. Applied Meteorol. Climatol. 47(1): 76-91.
  • Baigorria GA, Jones JW, O’Brien JJ. 2008. Potential predictability of crop yield using an ensemble climate forecast by a regional circulation model. Agric. Forest Meteorol. 148:1353-1361.
  • Bannayan M, Hoogenboom G. 2008. Predicting realizations of daily weather data for climate forecasts using the non-parametric nearest-neighbor re-sampling technique. J. Internat. Climatol. 28:1357-1368.
  • Bannayan M, Hoogenboom G. 2008. Weather Analogue: A tool for lead time simulation of daily weather data based on modified K-nearest-neighbor approach. Env. Modeling and Software 23: 703-713.
  • Bellow JG, Hudson RF, Nair PKR. 2008. Adoption potential of fruit-tree-based agroforestry on small farms in the subtropical highlands, Agroforestry Systems 73:23-36.
  • Breuer NE, Cabrera VE, Ingram KT, Broad K, Hildebrand PE. 2008. AgClimate: A case study in participatory decision support system development, Climatic Change, 87: 385-403.
  • Burgman RJ, Clement AC, Mitas C, Chen J, Esslinger K. 2008. Evidence for atmospheric feedbacks in the subtropical Pacific on decadal timescales. Geophysical Research Letters: Vol. 35, doi:10.1029/2007GL031830.
  • Burgman RJ, Schopf P, Kirtman BP. 2008. Decadal modulation of ENSO in a hybrid coupled model. Journal of Climate 21, 5482-5500.
  • Cabrera VE, Breuer NE, Hildebrand PE. 2008. Participatory modeling in dairy farm systems: a method for building consensual environmental sustainability using seasonal climate forecasts. Climatic Change, 89:395-409.
  • Crane T, Roncoli C, Breuer N, Broad K, Paz J, Fraisse C, Ingram K, Zierden D, Hoogenboom G, and O’Brien J. 2008. Collaborative Approaches to the Development of Climate-Based Decision Support Systems. Proceedings of the 88th AMS Annual Meeting, New Orleans, LA, January 20-24, 2008.
  • Deng X, Barnett BJ, Hoogenboom G, Yu Y, Garcia y Garcia A. 2008. Alternative crop insurance indexes. J. Agric. Applied Econ. 40:223-237.
  • Fraisse C, Cabrera V, Breuer N, Baez J, Quispe J. 2008. El Niño – Southern Oscillation Influences on Soybean Yields in Eastern Paraguay. Int. J. Climatol. 28: 1399-1407.
  • Garcia y Garcia A, Guerra LC, Hoogenboom G. 2008. Impact of generated solar radiation on simulated crop growth and yield. Ecological Modelling 210(3):312-326.
  • Gérard-Marchant PGF, Stooksbury DE, Seymour L. 2008. Methods for starting the detection of undocumented multiple change-points. J. Climatol. 21:4887-4899.
  • Goto-Maeda Y, Shin DW, O’Brien JJ. 2008. Freeze probability of Florida in a regional climate model and climate indices, Geophysical Research Letters, 35(11), L11703, doi:10.1029/2008GL033720.
  • Liu J, Men C, Cabrera VE, Uryasev S, Fraisse CW. 2008. Optimizing crop insurance under climate variability. J. Appl. Meteorol. Climatol. 47:2572-2580.
  • Marcus R, Kiebzak S. 2008. The role of water doctrines in enhancing opportunities for sustainable agriculture in Alabama. Journal of the American Water Resources Association 44:1578-1590.
  • Misra, Vasubandhu, L. Marx, M. Fennessy, B. Kirtman, J. L. Kinter, 2008: A Comparison of Climate Prediction and Simulation over the Tropical Pacific. J. Climate, 21, 3601–3611.
  • Nadolnyak D, Vedenov D, Novak JL. 2008. Information value of climate-based yield forecasts in selecting optimal crop insurance coverage. Am. J. Agric. Econ. 90:1248-1255.
  • Pegion, Kathy, Ben P. Kirtman, 2008: The Impact of Air–Sea Interactions on the Predictability of the Tropical Intraseasonal Oscillation. J. Climate, 21, 5870–5886.
  • Pegion, Kathy, Ben P. Kirtman, 2008. The Impact of Air–Sea Interactions on the Simulation of Tropical Intraseasonal Variability. J. Climate, 21, 6616–6635.
  • Roncoli C, Crane T, Orlove B. 2008. Fielding climate change: The role of anthropology. In: S. Crate and M. Nuttall (eds.) Anthropology and Climate Change: from Encounters to Action. Left Bank Press.
  • Seager, Richard, Robert Burgman, Yochanan Kushnir, Amy Clement, Ed Cook, Naomi Naik, Jennifer Miller, 2008: Tropical Pacific Forcing of North American Medieval Megadroughts: Testing the Concept with an Atmosphere Model Forced by Coral-Reconstructed SSTs*. J. Climate, 21, 6175–6190.
  • Shin DW, Kang SD, Cocke S, Goo TY, Kim HD. 2008. Seasonal probability of precipitation forecasts using a weighted ensemble approach. Int. J. Climatol. 28, 1971-1976, DOI:10.1002joc.1690.
  • Stan, Cristiana, Ben P. Kirtman 2008. The Influence of Atmospheric Noise and Uncertainty in Ocean Initial Conditions on the Limit of Predictability in a Coupled GCM. Journal of Climate Vol. 21 Issue 14, p. 3487.
  • Vedwan, N., S. Ahmad, F. Miralles-Wilhelm, K. Broad, D. Letson, G. Podestá. 2008. Institutional evolution in Lake Okeechobee Management in Florida: Characteristics, Impacts and Limitations. Journal of Water Resources Management 22: 699-718.
  • Yeh, Sang-Wook, Ben P. Kirtman, 2008. The Low-Frequency Relationship of the Tropical–North Pacific Sea Surface Temperature Teleconnections. J. Climate, 21, 3416–3432.

2007

  • Baigorria, G.A., 2007. Assessing the use of seasonal-climate forecasts to support farmers in the Andean Highlands. p. 99-110. In: M.V.K. Sivakumar and J.W. Hansen. (Eds). Climate prediction and agriculture: Advances and Challenges. Springer Berlin/Heidelberg.
  • Baigorria GA, Jones JW, O’Brien JJ. 2007. Understanding rainfall spatial variability in the southeast USA at different timescales. Internat. J. Climatol. 27(6):749-760.
  • Baigorria GA, Jones JW, O’Brien JJ. 2007. Understanding rainfall spatial variability in the southeast USA. Internat. J. Climatol. 27(6):749-760.
  • Baigorria GA, Jones JW, Shin DW, Mishra A, O’Brien JJ. 2007. Assessing uncertainties in crop model simulations using daily bias-corrected regional circulation model outputs. Climate Research 34(3): 211- 222.
  • Baigorria, Guillermo A., Consuelo C. Romero. 2007. Assessment of erosion hotspots in a watershed: Integrating the WEPP model and GIS in a case study in the Peruvian Andes. Environmental Modelling & Software. Volume 22, Issue 8, 1175–1183.
  • Brolley J, O’Brien J, Zierden D. 2007. Experimental forest fire threat forecast in Florida. J. Agric. Forest Meteorol. 145:84-96.
  • Burgman RJ, Clement AC, Mitas C, Chen J, Esslinger K. 2008. Evidence for atmospheric feedbacks in the subtropical Pacific on decadal timescales. Geophysical Research Letters: Vol. 35, doi:10.1029/2007GL031830.
  • Butler GA, Srivastava P. 2007. An Alabama BMP database for evaluating water quality impacts of alternative management practices. Applied Engineering in Agriculture 23(6):727-736.
  • Cabrera VE, Jagtap SS, Hildebrand PE, 2007. Strategies to limit (minimize) nitrogen leaching on dairy farms driven by seasonal climate forecasts. Agriculture, Ecosystems and Environment 122:479-489.
  • Christy, John R., William Norris, Kevin Gallo. 2007. Comments on “methodology and results of calculating central California surface temperature trends: Evidence of human-induced climate change?” – Reply. Journal of Climate. Vol. 20 Issue 17, p4490-4493.
  • Christy JR, Norris WB, Spencer RW, Hnilo JJ. 2007. Tropospheric temperature change since 1979 from tropical radiosonde and satellite measurements, J. Geophys. Res., 112, D06102, doi:10.1029/2005JD006881.
  • Fraisse CW, Baigorria GA, Pathak TB. 2007. Spatial Analysis of freeze events in Florida. Proceedings of the Florida State Horticultural Society 119:94-99.
  • Goodwin RA, Pandey V, Kim J, and Kiker GA. 2007. Spatially-Explicit Population Models with Complex Decisions: Fish, Cattle, and Decision Analysis. IN I Linkov, GA Kiker and RJ Wenning (Eds). Environmental Security in Harbors and Coastal Areas: Management using Comparative Risk Assessment and Multi- Criteria Decision Analysis. Springer, Netherlands.
  • Guerra LC, Garcia y Garcia A, Hoogenboom G. 2007. Irrigation water use estimates based on crop simulation models and kriging. Agricultural Water Management 89(3):199-207.
  • Hoogenboom G, Fraisse CW, Jones JW, Ingram KT, O’Brien JJ, Bellow JG, Zierden D, Stooksbury, JO Paz, A Garcia y Garcia, LC Guerra, D Letson, NE Breuer, VC Cabrera, LU Hatch DE, Roncoli C. 2007. Climate-based agricultural risk management tools for Florida, Georgia and Alabama, USA. In: p. 273-278. (M.V.K. Sivakumar and J. Hansen, editors). Climate Prediction and Agriculture: Advances and Challenges. Springer, Berlin, Germany.
  • Keener VW, Ingram KT, Jacobson B, Jones JW. 2007. Effects of El Niño /Southern Oscillation on simulated phosphorus loading in South Florida. Trans. ASABE 50(6):2081-89.
  • Lim YK, Shin DW, Cocke S, LaRow T, Schoof J, O’Brien JJ, Chassignet E. 2007. Dynamically and statistically downscaled seasonal simulations of maximum surface air temperature over the southeastern United States. J. Geophys. Res. – Atmosphere 112:D24102.
  • Migliaccio, K. W. and P. Srivastava. 2007. Hydrologic components of watershed-scale models. Transactions of the ASABE. 50(5) 1695-1703.
  • Pathak, T.B., C.W. Fraisse, J.W. Jones, C.D. Messina, G. Hoogenboom. 2007. Use of Global Sensitivity Analysis for CROPGRO Cotton Model Development. Transactions of the ASABE. 50(6): 2295-2302.
  • Paz JO, CW Fraisse, LU Hatch, A Garcia y Garcia, LC Guerra, O Uryasev, JG Bellow, JW Jones, G Hoogenboom. 2007. Development of an ENSO-based irrigation decision support tool for peanut production in the Southeastern US. Computers and Electronics in Agriculture 55(1):28-35.
  • Pilumwong J, Senthong C, Srichuwong S, Ingram KT. 2007. Effects of temperature and elevated CO2 on shoot and root growth of peanut (Arachis hypogaea L.)grown in controlled environment chambers. Science Asia J. 33:79-87.
  • Romero CC, Baigorria GA, Stroosnijder L. 2007. Changes of erosive rainfall for El Niño and La Niña years in the northern Andean Highlands of Peru: The case of La Encaniñada watershed. Climatic Change 85(3- 4):343-356.
  • Romero CC, Stroosnijder L, Baigorria GA. 2007. Interril and rill erodibility in the northern Andean Highlands. Catena 70:105-113. Smith SR, Tartaglione C, O’Brien JJ, Brolley J. 2007. ENSO’s impact on regional US hurricane activity. J. Climate 20(7):1404-1414.
  • Srivastava P, Migliaccio KW, Simunek J. 2007. Terrestrial models for simulating water quality at point, field, and watershed scales. Transactions ASABE 50(5):1683-1693.
  • Srivastava, P., K.W. Migliaccio, and J. Šimůnek. 2007. Landscape models for simulating water quality at point, field, and watershed scales. Transactions of the ASABE. 50(5) 1683-1693.
  • Vikhliaev, Yury, Ben Kirtman, Paul Schopf, 2007: Decadal North Pacific Bred Vectors in a Coupled GCM. J. Climate, 20, 5744–5764. Wu, Renguang, Ben P. Kirtman, 2007: Roles of the Indian Ocean in the Australian Summer Monsoon– ENSO Relationship. J. Climate, 20, 4768–4788.
  • Yeh, Sang-Wook, Ben P. Kirtman, 2007. ENSO Amplitude Changes due to Climate Change Projections in Different Coupled Models. J. Climate, 20, 203–217.

2006

  • Bert FE, Satorre EH, Ruiz Toranzo F, Podesta GP. 2006. Climatic information and decision-making in maize crop production systems of the Argentinean Pampas. Agricultural Systems 88:180-204.
  • Cabrera VE, Breuer NE, Hildebrand PE. 2006. North Florida Dairy Farmer Perceptions Toward the use of Seasonal Climate Forecast Technology. Climatic Change, 78:479-491.
  • Cabrera V, Fraisse CW, Letson D, Podesta G, Novak J. 2006. Impact of climate information on reducing farm risk by optimizing crop insurance strategy. Transactions of the ASAE 49(4):1223-1233.
  • Fraisse CW, Breuer N, Bellow JG, Cabrera V, Hatch U, Hoogenboom G, Ingram KT, Jones JW, O’Brien JJ, Paz J , Zierden D. 2006. AgClimate: A climate forecast information system for agricultural risk management in the southeastern USA. Computers & Electronics in Agriculture 53(1):13-27.
  • Garcia y Garcia A, Hoogenboom G, Guerra LC, Paz JO, Fraisse CW. 2006. Analysis of interannual variation of peanut yield in Georgia using a dynamic crop simulation model. Transactions of the ASAE 49:2005-2015.
  • Jacobs JM, Satti SR, Dukes MD, and Jones JW. 2006. Climate variability and impacts on irrigation water demand: Research and application in Northeast Florida.In Climate Variations, Climate Change, and Water Resources Engineering, J.D. Garbrecht and T.C. Piechota (eds.). ASCE & American Society of Civil Engineers 1801 Alexander Bell Dr., Reston, VA.
  • Messina CD, Jones JW, Boote KJ, Vallejos CE. 2006. A gene-based model to simulate soybean development and yield responses to environment. Crop Science 46:456-466.
  • Messina CD, Letson D, and Jones JW. 2006. Tailoring Management of Tomato Production to ENSO Phase at Different Scales. Transactions of the ASAE. 49:1993-2003.
  • Sain S, Jagtap SS, Mearns L, and Nychka D. 2006. A multivariate spatial model for soil water profiles. Journal of Agricultural, Biological, and Environmental Statistics 11:462-480.
  • Shin DW, Bellow JG, LaRow TE, Cocke S, O’Brien JJ. 2006. The role of an advanced land model in seasonal dynamical downscaling for crop model application. Applied Meteorol. Climatol. 45(5):686-701.

2005

  • Cabrera VE, Hildebrand PE, Jones JW. 2005. Modelling the effect of household composition on the welfare of limited-resource farmers in Coastal Cañete, Peru. Agricultural Systems 86:207-222.
  • Cabrera VE, Breuer NE, and Hildebrand PE. 2005. The Dynamic North Florida Dairy Farm Model: A User-friendly Computerized Tool for Increasing Profits while minimizing N Leaching under Varying Climatic Condition. Computers and Electronics in Agriculture, 49 (2) pp 286-308.
  • Irmak A, Jones JW, and Jagtap SS. 2005. Evaluation of the CROPGRO-soybean model for assessing climate impacts on regional soybean yields. Trans. ASAE 48:2343-2353.
  • Letson D, Podesta GP, Messina C, Ferreyra RA. 2005. The uncertain value of perfect ENSO phase forecasts: stochastic agricultural prices and intra-phase climatic variations. Climatic Change 69:163-196.
  • Mavromatis T, & Jagtap SS. 2005. Estimating solar radiation for crop modeling using temperature data from urban and rural stations. Inter Research Climate Research 29(3):233-243.
  • Miralles-Wilhelm F, Trimble P, Podestá GP, Letson D,Broad K. 2005. Climate-based estimation of hydrological inflow into Lake Okeechobee, Florida. American Society of Civil Engineers. Journal of Water Resources Planning and Management 131:394-401.
  • Paudel K, Limaye A, Hatch U, Cruise J, and Musleh F. 2005. Development of an optimal water allocation decision tool for major crops during water deficit periods in the Southeast U.S. Natural Resource Modeling 18:1-26. 

2004

  • Guerra LC, Hoogenboom G, Boken VK, Hook JE, Thomas DL, Harrison KA. 2004. Evaluation of the EPIC model for simulating crop yield and irrigation demand. Trans. ASAE 47:2091-2100.
  • Podestá GP, Nuñez L, Villanueva CA, and Skansi MA. 2004. Estimating daily solar radiation in the Argentine Pampas. Agricultural and Forest Meteorology 123: 41-53.

2003

  • Alva AK, Collins HP, Fraisse CW, and Boydston RA. 2003. Evaluation of Enviroscan capacitance probes for monitoring soil moisture in center pivot irrigated potatoes. Irrigation Science 38(1):93-109.
  • Guerra, Larry C., Gerrit Hoogenboom, James E. Hook, Daniel L. Thomas, and Kerry A. Harrison. 2003. Predicting water demand for irrigation under varying soil and weather conditions. International Water & Irrigation 23(2):21-24.
  • Hoogenboom, G. 2003. Crop growth and development. p. 655-691. In: [D.K. Bendi and R. Nieder] Handbook of Processes and Modeling in the Soil-Plant System. The Haworth Press, Binghamton, New York.
  • Hoogenboom, G., D.D. Coker, J.M. Edenfield, D.M. Evans and C. Fang. 2003. The Georgia Automated Environmental Monitoring Network: 10 years of weather information for water resources management. p.896-900.In : [K. J. Hatcher, editor] Proceedings of the 2003 Georgia Water Resources Conference. Institute of Ecology, The University of Georgia, Athens, Georgia.
  • Irmak S, Irmak A, Jones JW, Howell TA, Jacobs JM, Allen RG, Hoogenboom G. 2003. Predicting daily net radiation using minimum climatological data. J. Irrig. Drainage Eng. 129(4):256-269.
  • Jones JW, Hoogenboom G, Porter CH, Boote KJ, Batchelor KD, Hunt LA, Wilkens PW, Singh U, Gijsman AJ, Ritchie JT. 2003. DSSAT Cropping System Model. European Journal of Agronomy 18:235-265.
  • Nijbroek R, Hoogenboom G, and Jones JW. 2003. Optimal irrigation strategy for a spatially variable soybean field: a modeling approach. Agricultural Systems 76(1):359-377.

2002

  • Jagtap SS, and Jones JW. 2002. Adaptation and evaluation of the CROPGRO-Soybean model to predict regional yield and production. Agriculture, Ecosystems and Environment 93:73-85.
  • Jagtap SS, Jones JW, Hildebrand P, Letson D, O’Brien JJ, Podesta G, Zazueta F, Zierden D. 2002. Responding To Stakeholders’ Demands For Climate Information: From Research to Practical Applications in Florida. Agricultural Systems 74:415-430.
  • Mavromatis T, Jagtap SS, and Jones JW. 2002. El Niño Southern Oscillation effects on peanuts yield and nitrogen leaching. Climate Research. 22:129-140.
  • Podestá GP, Letson D, Messina C, Royce F, Ferreyra RA, Jones J, Hansen J, Llovet I, Grondona M, O’Brien JJ. 2002. Use of ENSO-related climate information in agricultural decision making in Argentina: a pilot experience. Agricultural Systems 74:371-392.

2001

  • Ferreyra RA,Podestá GP, Messina C, Letson D, Dardanelli J, Guevara E and Meira S. 2001. A Linked-modelling Framework to Estimate Maize Production Risk Associated with ENSO-related Climate Variability in Argentina. Agricultural and Forest Meteorology. Vol. 107: 177-192.
  • Hammer GL, Hansen JW, Phillips JG, Mjelde JW, Hill H, Love A, Potgieter A. 2001. Advances in application of climate prediction in agriculture. Agricultural Systems 70:515-553.
  • Hansen JW, Jones JW, Irmak A, Royce FS. 2001. El Niño-Southern Oscillation impacts on crop production in the Southeast United States. IN Hatfield JL, Volenec JJ (eds.), Impacts of Climate Variability on Agriculture. ASA Special Publication, Amer. Soc. Agron., Madison, Wis. 57-78.
  • Letson D, Llovet I, Podesta G, Royce F, Brescia B, Lema D, Parellada G. 2001. User Perspectives of Climate Forecasts: Crop Producers in Pergamino, Argentina. Climate Research. 19(1): 57-67.
  • Letson D , McCullough BD. 2001. ENSO and Soybean Prices: Correlation without Causality. Journal of Agricultural and Applied Economics 33(3): 513-521.
  • Letson D, Hansen J, Hildebrand P, Jones JW, O’Brien JJ, Podestá G, Royce F, Zierden D. 2001. Florida’s Agriculture and Climatic Variability: Reducing Vulnerability. Florida Geographer 32: 38-57.
  • Royce FS, Jones JW, Hansen JW. 2001. Model-based optimization of crop management for climate forecast applications. Trans. ASAE. 44(5): 1319-1327.
  • Smith SR, O’Brien JJ. 2001. Regional Snowfall Distributions Associated with ENSO: Implications for Seasonal Forecasting. Bulletin of the American Meteorological Society 82:1179-1191.

2000

  • Cocke S, LaRow TE. 2000. Seasonal Predictions Regional Spectral Model embedded within a Coupled Ocean-Atmosphere Model. Monthly Weather Review 128:689-708.
  • Grondona M, Podesta GP, Bidegain M, Marino M, and Hordij H 2000. A stochastic precipitation generator conditioned on ENSO phase: A case study in Southeastern South America. Journal of Climate 13, 2973-2986.
  • Jones JW, Hansen JW, Royce FS, Messina CD. 2000. Potential benefits of climate forecasting to agriculture. Agriculture, Ecosystems and Environment 82:169-184.
  • Smith SR, Legler DM, Remigio MJ, O’Brien JJ. 2000. Comparison of 1997-1998 US Temperature and Precipitation Anomalies to Historical ENSO Warm Phase Conditions. Journal of Climate 12, 3507-3515.

1999

  • Hansen JW 1999. Stochastic daily solar irradiance for biological modeling applications. Agricultural and Forest Meteorology 94, 53-63.
  • Hansen JW, Jones JW, Kiker CF, Hodges AH. 1999. El Niño-Southern Oscillation impacts on winter vegetable production in Florida. Journal of Climate 12, 92-102.
  • Jones CS, Shriver JF, O’Brien JJ. 1999. The Effects of El Niño on Rainfall and Fire in Florida, The Florida Geographer, 30, 55-69.
  • Llovet I, Letson D. 1999. Condicionantes mentales y modelos mentales en la adopción de información climática entre productores agropecuarios del norte de la Provincia de Buenos Aires. [Mental conditioning factors and mental models influencing the adoption of climate information by farmers in the northern Province of Buenos Aires]. Cuadernos del Programa Interdisciplinario de Estudios Agrarios, 9, 9-53. Facultad de Ciencias económicas, Universidad de Buenos Aires, Argentina.
  • Messina CD, Hansen JW, Hall AJ. 1999. Land allocation conditioned on El Niño-Southern Oscillation phases in the Pampas of Argentina. Agricultural Systems 60, 197-212.
  • Podestá GP, Messina C, Grondona M, Magrin G. 1999. Associations between grain crop yields in Central-Eastern Argentina and El Niño-Southern Oscillation. Journal of Applied Meteorology 38:1488-1498.
  • Zaurralde RC, Rosenberg NJ, Brown RA, Legler DM, Tiscareno-Lopez M, Srinivasan R, Sands RD. 1999. Modeled effects of strong Los Niños on crop productivity in North America. Agricultural and Forest Meteorology, 94, 259-268.

1998

  • Hansen JW, Hodges A, Jones JW. 1998. ENSO influences on agriculture in the southeastern United States. Journal of Climate 11, 404-411. Hansen JW, Irmak A, Jones JW. 1998. El Niño – Southern Oscillation influences on Florida crop yields. Soil and Crop Science Society of Florida Proc. 57, 12-16.
  • Magrin, G.O., M.O. Grondona, M.I. Travasso, D.R. Boullon, G.R. Rodriguez, and C.D. Messina. 1998. Impacto del fenomeno “El Niño” sobre la produccion de cultivos en la Region Pampeana [Impact of the “El Niño” phenomenon on crop production in the Pampean Region]. Instituto Nacional de Tecnología Agropecuaria, Castelar, Argentina. 19 pp.

1996

  • Hansen, J.W., J.W Jones,.G. Magrin, S.G. Meira, E.R. Guevara, M.I. Travasso, R.A. DÌaz, M. Marino, H. Hordij, C. Harwell, and G. Podestá. 1996. ENSO effects on yields and economic returns of wheat, corn, and soybean in Argentina. In Actas del VII Congreso Argentino y VII Congreso Latinoamericano e Ibérico de MeteorologÌa. Buenos Aires, Argentina, 2-6 September, 1996. pp. 89-90.

Presentations

2015

  • Asseng, S. Key note address at Agriculture and Climate Change Conference, Amsterdam, The Netherlands 15-17 February 2015, www.agricultureandclimatechange.com.
  • Knox, P. and Furman, C. Weird and wacky weather- How do we cope? In Organic Educational Session II Southeast Regional Fruit and Vegetable Conference Savannah Georgia January 8-11, 2015. Program given on January 9th.
  • Krantz, S. The Southeast Climate Consortium: Modeling climate risks for a sustainable future, Florida Section of the American Society of Agricultural and Biological Engineers meeting. Ponte Vedra Beach, Fl.
  • Krantz, S. Identifying Decision-Focused Climate Adaptation Activities and Aligning Priorities Across Multiple Sectors and Scales in the Southeastern United States. National Adaptation Forum. Saint Louis, MO.
  • Krantz, S. Breaking the Ice: Engaging the Public in a Climate Change Conversation. Florida Chapter of the Wildlife Society Meeting. Jacksonville, FL.
  • Furman, Carrie, and P. Knox (2015) Weird and wacky weather- How do we cope? In Organic Educational Session II Southeast Regional Fruit and Vegetable Conference Savannah Georgia January 8-11, 2015. Program given on January 9th.
  • Tristate working group Climate change- “what if” scenarios. Farmers, scientists and extenstion associated with row crop production got together to talk about the future of climate and farming in the SE. February 9, 2015. FSU Tallahassee FL
  • Presentation on GaClimate.org to the Georgia Cotton Conference by Pam Knox, January 28, 2015. The conference is attended annually by over 200 cotton growers and other members of the cotton industry.
  • Two training events for Georgia County Agents on using the smartphone app for scheduling irrigation on cotton by George Vellidis, January 21 and 22, 2015 in Reidsville (19 agents) and Tifton (45 agents), respectively.
  • SmartIrrigation Cotton App featured in the Spring 2015 issue of “Southscapes”, the University of Georgia College of Agricultural & Environmental Sciences alumni magazine, p.29. http://www.caes.uga.edu/alumni/news/southscapes/spring15/.
  • Pam Knox, “Dealing with Extreme Weather for Foresters”, to the Southern Chapter of the International Society of Arborists, Mobile AL, March 9, 2015 (about 150 foresters attended).
  • Pam Knox, “The Basics of Temperature and Humidity for Frost Protection in Blueberries”, to the Georgia Blueberry Growers Association meeting in Waycross GA (invited by Renee Holland, extension agent), March 19, 2015 (about 60 blueberry producers attended).
  • George Vellidis produced a 1-minute radio spot on the SmartIrrigation Cotton App which was broadcast several times a day during the week of March 30th by 92.5 FM, a Tifton, Georgia based farm-oriented radio station.
  • Pam Knox, “Climate Variability and Implications for Forestry”, to Growing Pines in Changing Times workshop, PINEMAP, Tifton GA (invited), April 21, 2015 (about 100 foresters attended).
  • George Vellidis produced a 1-minute radio spot on the www.GaClimate.org which was broadcast several times a day during the week of May 4th by 92.5 FM, a Tifton, Georgia based farm-oriented radio station.

2014

  • Bartels, W. 2014. Invited for opening panel address to share NIFA project experiences of working with famers around climate change and decision support. Bill and Melinda Gates Foundation Next Generation Farming System Models. Seattle, WA.
  • Bauer, M., Bartels, W., Dourte, D., Treadwell, D., Dillard, J., Love, J., Toro, E. Catalyzing collaborative cover-crop conversations: Peer-to-peer learning to reduce the gap between research and practice. Presentation at the 2014 Water Education Summit scheduled for September 8-10 in Asheville, NC
  • Webinar presentation Learning Communities and other Conversations with Extension Clientele – Invited with William Birdsong to share lessons from the Tri-state climate network with Nebraskan Extension agents engaged in a meeting entitled: Starting a Conversation with Nebraskans on Climate Change. Organized by Rick Koelsch and Rick Stowell, University of Nebraska-Lincoln, Aug 26th 2014.
  • Bartels, W. Session presented at the 99th Annual Meeting and Professional Improvement Conference National Association of County Agricultural Agents (NACAA). Co-organized a Climate Communication session with Crystal Powers, University of Nebraska-Lincoln, and Chris Jones, University of Arizona. Mobile, Alabama July 20-24.
  • Krantz, S. AgroWeather and AgroClimate Tools for Food and Water Security. Session coordinated by SECC. International Symposium on Weather and Climate Extremes. George Mason University.
  • Krantz, S. Coastal Climate Resilience session at RISA Annual Meeting. Charleston, SC.
  • Toro, E. M., Wright, D., Balkcom, K., Birdsong, W., Beasley, J., Kemerait, B., Ortiz, B., Johnson, L., Dillard, B., Zierden, D, Bartels, W., Bauer, M., Dillard, J., Duarte, D., Engaging Farmers, researchers and extension to integrate climate information to row crop productive systems in the Southeast. Presented at NACAA, Mobile, Alabama July 20-24.
  • Ortiz, B. 2014. El Niño-Southern Oscillation (ENSO) effects on Hessian Fly Infestation in the Southeastern USA. MidSouth Association of Wheat Scientists 30th Annual Meeting. Madison, Alabama. April 1-2, 2014.
  • Ortiz, B. 2014. Droughts, Floods, Storms – Climate Change/Variability
    and Southeastern Beef Production. 2014 AU Beef Cattle Conference. Auburn, Alabama. June 14, 2014
  • Ortiz, B. 2014. Use of the ENSO forecast for adapting winter wheat management strategies in the Southeastern USA. Poster prepared and presented at: Adaptation Futures 2014 – Third International Climate Change Adaptation Conference. Fortaleza, Brazil. 12-16 May, 2014.
  • Ortiz, B. 2014. Climate Education and Identification of Adaptation Strategies. 2014 National Agricultural County Agricultural Agents meeting. Mobile, Alabama. 24-26 July, 2014.
  • Ortiz, B. 2014. How to use the Climate risk Tool in Agroclimate. 2014 National Agricultural County Agricultural Agents meeting. Mobile, Alabama. 24-26 July, 2014.
  • Ortiz, B. 2014. Exploring management options for more resilient and efficient systems. 2014 Southern Region Extension Climate Academy (SRECA). Athens, GA. 3-5 September, 2014.
  • Woli, P. 2014. El Niño-Southern Oscillation (ENSO) Effects on Hessian Fly Infestation in Wheat in the Southeastern USA. American Society of Agronomy Meeting. Long Beach, California. 2-5 November, 2014. (Oral presentation)
  • Woli, P. 2014. El Niño-Southern Oscillation Effects on the Yield Difference Between Early and Late Maturity Varieties of Winter Wheat in the Southeastern USA. American Society of Agronomy Meeting. Long Beach, California. 2-5 November, 2014. (Oral presentation)
  • van Santen, E. 2014. Effect of ENSO Phase on Seasonal Forage Yield of Annual Ryegrass. Poster 743. American Society of Agronomy Meeting. Long Beach, California. 2-5 November, 2014.
  • Singh, S., Srivastava, P., and S. Mitra. 2014. Climate Variability Impacts on Surface and Ground Water Interactions in the Lower Apalachicola-Chattahoochee-Flint River Basin. Paper No. 14-1914613. ASABE Annual International Conference, Montreal, Canada, July 13-16, 2014.
  • Singh, S., P. Srivastava, S. Mitra. 2014. Effects of ENSO induced Climate Variability on Surface and Groundwater Interaction in the Flint River Basin. Graduate Scholars Forum, Auburn University, Auburn, AL. March. Poster Presentation.
  • Srivastava, P. 2014. Incorporating Climate Information in Water Resources Decision-making. Department of Environmental Science and Technology, University of Maryland, College Park, October 22, 2014.
  • Srivastava, P. 2014. Critical Water Issues and Approaches in the Southeast. Presented at the LEAD21-H2O Symposium, Kansas City, MO, October 5-6, 2014.
  • Srivastava, P. 2014. Mitigating Effects of Drought – Visions for Sustainable Irrigation. Irrigation Association’s Smart Irrigation Month: Bringing Water to Life Webinar Series. May 21, 2014.
  • Climate Risk Roundtable Epes, Alabama, July 15-16, 2014 with Federation of Southern Cooperatives Land Assessment Fund.
  • Pam Knox, “Gauging Extension Educators Perspectives on Animal Agriculture and Climate Change”, to the Climate and Agriculture Technical Session at the National Association of County Agricultural Agents, Mobile AL, July 21, 2014 (about 100 extension agents attended this session).
  • Advanced Farming Technologies for Reducing Climate Risks workshop, August 12, 2014, Edisto Research & Education Center, Blackville, SC Farmers and Extension (Knox and Furman; about 75 agricultural producers and extension agents participated).
  • Southern Regional Extension Climate Academy, September 3-5, 2014, Pam Knox, “Climate 101: Climate Variability and Climate Change Fundamentals” (about 100 extension agents from around the South participated).
  • Roncoli, C. Furman, C. Involving minority farmers in climate services: a case study from the southern US, Building indigenous knowledge into climate change assessments: a roundtable discussion. UNESCO New York, NY, September 24, 2014.

2009

  • Pavan W, Fraisse CW, and Peres NW. 2009. Development of a disease forecasting system as a tool on AgroClimate. Paper No. 09157 Annual International Meeting of the American Society of Agricultural and Biological Engineering, June 21-24, 2009, Reno, Nevada.
  • Shin D-W, Baigorria GA, Lim Y-K, Cocke S, LaRow TE, O ‘Brien JJ, Jones JW. 2009. Assessing crop yield simulations with various seasonal climate data. 7th NOAA Annual Climate Prediction Application Science Workshop. Norman, OK, 24-27 Mar 2009.

2007

  • Fraisse CW. 2007. AgClimate: Crop yield risk decision support system for the southeastern USA.Proceedings of the Southern Region Conservation Technology Center annual Meeting. June 24-26, Quincy, Florida.

2005

  • Fraisse CW, Jones JW, Breuer NE, and Zierden D. 2005. AgClimate, a Dynamic Tool for Climate Information Dissemination, the SECC Experience.ASAE Paper No. 053021 Tampa, FL., July 17-20.
  • Breuer NE, Hildebrand PE, and Cabrera VE. 2005. Assessing Socioeconomic Resilience of Rural Livelihood Systems in an Ecuadorian Agrosocioecosystem.Proceedings of the Sixth European International Farming Systems Association Symposium. Vila Real, Portugal, p.195-203.

2004

  • Guerra, L.C., A. Garcia y Garcia, and G. Hoogenboom. 2004. Evaluation of cultivar coefficients derived from peanut variety trials with on-farm monitoring data, paper presented at the Biological Systems Simulation Conference, Gainesville, Fl., 8-10 Mar 2004.
  • Guerra, L.C., A. Garcia y Garcia, G. Hoogenboom, J.E. Hook, K.A. Harrison, and V.K. Boken. 2004.Spatio-temporal variability in observed and simulated irrigation applications, poster paper presented to 2004 ASA-CSSA-SSSA International Annual Meetings, Seattle, WA, 31 Oct – 4 Nov 2004.
  • Guerra, L. C., G. Hoogenboom, A. Garcia y Garcia, and J. E. Hook. 2004. Simulating peanut yield and irrigation applications with the CSM-CROPGRO-Peanut model, paper presented at the 2004 ASAE/CSAE Annual International Meeting, Ottawa, Ontario, Canada, 1-4 Aug 2004.
  • Ingram, K.T. 2004. Information and tools to help people use seasonal forecasts for manageing agricultural and natural resources. Seminar presented to Climate Assessment for the Southwest, Tucson, AZ, 5 May 2004.
  • Ingram, K.T. 2004. Looking forward with the Southeast Climate Consortium. Presented to NOAA/OGP, Silver Spring, MD, 26 Oct 2004.
  • Ingram, K.T. 2004. Risk reduction for specialty crops in the Southeast USA – A project of the Southeast Climate Consortium. Paper presented to USDA Risk Management Agency Climate Symposium, Kansas City, MO, 4 – 5 Nov 2004.
  • Jagtap, S.S., R.S. Ajayamohan, T. LaRow, J.W. Jones, J.J. O’Brien. 2004. Translating climate forecast into crop yield forecast. Climate Prediction Applications Science Workshop Research and Applications on Use and Impacts. Tallahassee, FL, 9-11 Mar 2004.
  • Jones, J.W., G. Hoogenboom, K.J. Boote. 2004. Managing climate risks using crop models and seasonal climate forecasts. Paper presented to ASA-CSSA-SSSA International Annual Meetings, Seattle, WA, 31 Oct – 4 Nov 2004.
  • Letson, D. 2004. Climate information and decision support: User-driven research and operational services. Seminar presented to NOAA/OGP, Silver Spring, MD, 26 Oct 2004.
  • Miralles-Wilhelm, F. 2004. Methods for climate-based estimation of net inflow into Lake Okeechobee: Comparative review, application and evaluation. Climate Prediction Applications Science Workshop Research and Applications on Use and Impacts. Tallahassee, FL, 9-11 Mar 2004.
  • O’Brien, J.J. 2004. A philosophy of climate services. Climate Prediction Applications Science Workshop Research and Applications on Use and Impacts. Tallahassee, FL, 9-11 Mar 2004.
  • O’Brien, J.J. 2004. Example of a climate-based decision support system for agriculture in the Southeast U.S. Seminar presented to NOAA/OGP, Silver Spring, MD, 26 Oct 2004.
  • O’Brien, J.J. 2004. Introduction to climate variability. Paper presented to ASA-CSSA-SSSA International Annual Meetings, Seattle, WA, 31 Oct – 4 Nov 2004.
  • Podestá, G.P. 2004. Utilización de información climática para apoyar la toma de decisiones en agricultura. Lecture at “Jornadas tecnológicas 2001”, Asociación Argentina de Consorcios Regionales de Experimentación Agrícola (AACREA), Mar del Plata, Argentina, 31 Aug – 1 Sep 2004. (Invited)
  • Soler, C. M. T., P. C. Sentelhas, and G. Hoogenboom. 2004. The impact of climate variability on yield of maize grown off-season in the state of São Paulo, Brazil, paper presented at the Biological Systems Simulation Conference, Gainesville, Fl., 8-10 Mar 2004.
  • Stooksbury, D. 2004. ENSO and chill hours in Georgia peaches. Climate Prediction Applications Science Workshop Research and Applications on Use and Impacts. Tallahassee, FL, 9-11 Mar 2004.
  • Zierden, D.F., M. Griffin, and J.J. O’Brien. 2004. User-driven climate forecasts in the Southeast U.S. Climate Prediction Applications Science Workshop Research and Applications on Use and Impacts. Tallahassee, FL, 9-11 Mar 2004.
  • Zierden, D. 2004. Climate variability and forecasting in the Southeast. Paper presented to USDA Risk Management Agency Climate Symposium, Kansas City, MO, 4 – 5 Nov 2004.
  • Breuer, N.E., Cabrera, V.E., Hildebrand, P.E. 2004. Continuous stakeholder feedback: improving adoption and user-friendliness of climate variability-based information and tools for livestock production. Climate Prediction Applications Science Workshop Research and Applications on Use and Impacts. Tallahassee, FL, 9-11 Mar 2004.
  • Cabrera, V.E. 2004. Participatory modeling of north Florida dairy farm systems. Society for Applied Anthropology Annual Meeting. Dallas, TX, Mar 2004.
  • Cabrera, V.E., Hildebrand, P.E. and Jones, J.W. 2004. El Niño southern oscillation impact on nitrogen leaching in north Florida dairy forage systems. Climate Prediction Applications Science Workshop Research and Applications on Use and Impacts. Tallahassee, FL, 9-11 Mar 2004.
  • Cabrera, V.E. 2004. Economic and ecologic assessment of groundwater nitrogen pollution from north Florida dairy farm systems: an interdisciplinary approach. The 68th Annual Meeting of the Florida Academy of Sciences. Orlando, FL, Mar 2004.
  • Cabrera, V.E. and Jones, J.W. 2004. El Niño Southern Oscillation impact on nitrogen leaching in north Florida dairy farm systems. Biological Systems Simulation Conference. Gainesville, FL, 8-10 Mar 2004.
  • Fraisse, C.W., N. Breuer, and J.W. Jones. 2004. Climate-based agricultural risk management in the Southeast: A research-extension partnership for disseminating climate forecast information. Climate Prediction Applications Science Workshop Research and Applications on Use and Impacts. Tallahassee, FL, 9-11 Mar 2004.
  • Fraisse, C.W., J.W. Jones, N.E. Breuer. 2004. Disseminating climate forecast via extension in the Southeast. Paper presented to ASA-CSSA-SSSA International Annual Meetings, Seattle, WA, 31 Oct – 4 Nov 2004.
  • Fraisse, C.S., J.W. Jones, N.E. Breuer. 2004. Disseminating climate forecast via extension. Paper presented to USDA Risk Management Agency Climate Symposium, Kansas City, MO, 4 – 5 Nov 2004.
  • Garcia y Garcia, A., L. C. Guerra, and G. Hoogenboom. 2004. A comparison of using measured and generated daily solar radiation to predict the impact of climate variability on yield, poster paper presented to ASA-CSSA-SSSA International Annual Meetings, Seattle, WA, 31 Oct – 4 Nov 2004.
  • Garcia y Garcia, A., L. C. Guerra, and G. Hoogenboom. 2004. Simulating peanut irrigation water use and yield in farmers’ fields in southwest Georgia, paper presented at the Biological Systems Simulation Conference, Gainesville, Fl., 8-10 Mar 2004.
  • Griffin, M. 2004. The Florida Climate Center’s approach to climate services. Climate Prediction Applications Science Workshop Research and Applications on Use and Impacts. Tallahassee, FL, 9-11 Mar 2004.

2003

  • Guerra, L.C., G. Hoogenboom, J.E. Hook, D.L. Thomas, V.K. Boken, and K.A. Harrison. 2003. On-farm evaluation of the model EPIC for simulating irrigation demand. ASAE Paper 03-3039. American Society of Agricultural Engineers, St. Joseph, MI.
  • Garcia y Garcia, A., G. Hoogenboom, C. T. Soler, and D. E. Stooksbury. 2003. The impact of climate variability on peanut yield forecasts in Georgia, paper presented at the 2003 ASA-CSSA-SSSA International Annual Meetings, Denver, CO, 2-6 Nov 2003.
  • Guerra, L.C., G. Hoogenboom, V.K. Boken, D.L. Thomas, J.E. Hook, and K.A. Harrison. 2003. Estimating statewide irrigation requirements using a crop simulation model. p. 558-561.In : [K. J. Hatcher, editor] Proceedings of the 2003 Georgia Water Resources Conference. Institute of Ecology, The University of Georgia, Athens, GA.
  • Soler, C. M. T., G. Hoogenboom, P. C. Sentelhas, and A. P. Duarte. 2003. Predicting yield variability of maize for the state of São Paulo, Brazil with the CERES-Maize model, paper presented at the 2003 ASA-CSSA-SSSA International Annual Meetings, Denver, CO, 2-6 Nov 2003.

2002

  • Hanley, D., Jagtap, S.S., LaRow, T., Jones, J.W.; Cocke, C., Zierden, D., O’Brien, J. O., 2002. The linkage of regional climate models to crop models. Preprints, 3rd Symposium on environmental applications: Facilitating the use of environmental information. Orlando, FL. Amer. Meteor. Soc., 134-139.

2001

  • Jagtap SS, and Jones JW, 2001. Scaling-Up Crop Models For Regional Yield and Production Estimation: A case-Study of Soybean Production in the State of Georgia, USA.Ed. K. Kobayashi, Proceedings of Crop Monitoring and Prediction at Regional Scales, Tsukuba, Japan, February 19-22, 2001.
  • Jones, J.W., P. Hildebrand, S. Jagtap, F. Zazueta, J.J. O’Brien, D. Zierden, D. Letson, and G. Podestá. 2001. An operational program for applications of climate information: A cooperative venture with Florida’s agricultural extension system. 81st American Meteorological Society Annual Meeting, 14–19 January 2001, Albuquerque, New Mexico.
  • Messina, C.D., Jones, J.W., Letson, D. and G.P. Podesta. 2001. Potential use of Climate Forecasts in Managing Tomato Production in Florida and Puerto Rico. Annual Meeting Abstracts, Charlotte, NC.
  • Messina, C.D., Jones, J.W., and Hansen, J.W. 2001. Understanding ENSO effects on tomato yields in Florida: a modeling approach. Proceedings 2nd International Symposium Modelling Cropping Systems, Florence, Italy, 16-18 July. pp. 155-156
  • Paudel, K.P., and Hatch, U. 2001. Assessing the Impacts of Global Warming in the Southeast US Agriculture Using Optimization and Economic Forecasting Procedure. Selected paper presented in American Agricultural Economics Association Meeting, Chicago, Illinois.
  • Podestá, G.P., D. Letson, J. Jones, and J.J. O’Brien. 2001. Application of Seasonal Climate Forecasts to Agriculture in the Southeastern US. Submitted to 81st Annual Meeting of the American Meteorological Society. Podestá, G.P. Predicción climática en el sector agrícola: un proceso, no un producto [Climate prediction in agriculture: a process, not a product]. VIII Argentine Meteorology Congress and IX Latin American and Iberic Meteorology Congress. Buenos Aires, Argentina, 7–11 May 2001. Invited panel presentation.
  • Podestá, G.P., D. Letson, J. Jones, J.J. O’Brien, P. Hildebrandt and F. Zazueta. 2001. An Operational Program for Applications of Climate Information: A Cooperative Venture with Florida’s Agricultural Extension System. Submitted to 81st Annual Meeting of the American Meteorological Society.

2000

  • Bidegain, M. and G.P. Podestá. 2000. ENSO-related Climate Variability on Precipitation and Temperature in Southeastern South America. Sixth International Conference on Southern Hemisphere Meteorology. Santiago, Chile, March 2000.
  • Jones, J.W. 2000. Reducing risk in agricultural production using climate forecasts. Presented in the Amer. Assoc. of Engineering Societies Forum, United Nations, May 1, 2000. New York. (Abstract).
  • Jones, J.W. 2000. Application of Crop Models in Climate Change and Climate Prediction Research.Presented at Symposium Climate Change and Agricultural Impacts, March 13-16, 2000. Cairo University. Cairo, Egypt.
  • Jones, J.W., J. W. Hansen, J. J. O’Brien, G. Podestá, F. Zazueta, and S. S. Jagtap. 2000. Agricultural Applications of Climate Predictions: Bridging the Gap between Research and its Application in the SE USA. IRI International Forum on Climate Prediction, Agriculture and Development, Palisades, New York, 26-28 April 2000.
  • Letson, D. 2000. Regional Application of ENSO Forecasts to Agriculture. Presentations at meeting “Cambios Climáticos: Una Vison Integral”, hosted by Universidad de Talca, Chile, and sponsored by NOAA’ s Office of the Chief Scientist. Talca, Chile, January 25-26, 2000.
  • Messina, C.D., J.W. Hansen, A.J. Hall, G.Podestá and G.O. Magrin. 2000. Climate signals, crop productivity and farm income in the Pampas of Argentina. Nowlin Chair Crop Modeling Symposium, Michigan State University, Detroit, 10–11 November 2000.
  • Podestá, G.P. 2000. Assessment of agricultural uses of ENSO-based climate forecasts in Argentina: objectives, framework and methods. Invited talk at meeting on “Aplicación de Pronósticos Climáticos en Agricultura: Métodos, Experiencias y Oportunidades en América Latina”. International Potato Center, Lima, Perú, May 16–17, 2000.
  • Podestá, G.P. 2000. Experiences in applying climate information in the agriculture sector.Third Caribbean Climate Outlook Forum. Santo Domingo, Dominican Republic, 3–5 May 2000.
  • Podestá, G.P. 2000. Experiences in the application of ENSO-related climate information in the agricultural sector of Argentina.NOAA Climate & Global Change Panel, Fall Meeting, 18–20 September 2000, Leesburg, Virginia.
  • Podestá, G.P., D. Letson, J. Jones, C. Messina, F. Royce, A. Ferreyra, J.J. O’Brien, D. Legler and J. Hansen. 2000. Experiences in Application of ENSO-related Climate Information in the Agricultural Sector of Argentina. IRI International Forum on Climate Prediction, Agriculture and Development, Palisades, New York, 26-28 April 2000.
  • Royce, F.S. 2000. A comparative assessment of agricultural uses of ENSO-based climate forecasts in the Americas: Comparisons. IAI-ISP III Workshop on Application of Climate Forecasts in Agriculture: Methods, Experiences and Opportunities in Latin America, Lima, Perú, 16-17 May 2000.
  • Royce, F.S. 2000. Climate forecasts and Florida agriculture: Integrating research and extension efforts. District II County Extension Directors Meeting, Gainesville, Florida, 24 April 2000.
  • Royce, F.S., and D. Letson. 2000. Climate forecasts and Florida agriculture: Integrating research and extension efforts. District IV County Extension Directors Meeting, Lake Alfred, Florida, 13 January 2000.

1999

  • Grondona, M., C. Messina and G.P. Podestá. 1999. ENSO-related climate variability in southeastern South America: statistical approaches to agricultural risk assessment and management. Global Change Symposium, 79th Annual Meeting of the American Meteorological Society, 10–15 January 1999, Dallas, Texas.
  • Bidegain, M., and P. Krecl. 1999. Associations between surface temperature anomalies over Southeastern South America (Uruguay) and El Niño/Southern Oscillation (ENSO). Global Change Symposium, 79th Annual Meeting of the American Meteorological Society, 10–15 January 1999, Dallas, Texas, USA.
  • Irmak, A., J.W. Hansen,.and J.W. Jones. 1999. El Niño-Southern Oscillation influences on Florida Crop Yields. In Graduate Student Forum 1999. Graduate Student Council, University of Florida, Gainesville, FL, USA. p. 145.
  • Llovet, I., E. Terreno, E. Gentile, and A. Barsky. 1999. Understanding use and perception of climate information among farmers in the Pampean region, Argentina: A sociological research. Global Change Symposium, 79th Annual Meeting of the American Meteorological Society, 10–15 January 1999, Dallas, Texas, USA.
  • Royce, F.S., J.W. Jones, and J.W. Hansen. 1999. Optimization of Field Crop Management Using Simulated Annealing: A Tool for Planning and Comparison. Poster presented at the Third International Symposium on Systems Approaches for Agricultural Development (SAAD-III). Lima, Peru, November, 1999.
  • Royce, F.S., D. Zierden, and D. Letson. 1999. Climate forecasts and Florida agriculture: Integrating research and extension efforts. District I County Extension Directors Meeting, Milton, Florida, 9 December 1999.
  • Podestá, G.P., J. Hansen, J. Jones, C. Kiker, T. LaRow, D. Legler, D. Letson, J.J. O’Brien, F.Royce. 1999. An end-to-end framework for the effective application of ENSO-related climate forecasts in the agricultural sector of Argentina. Global Change Symposium, 79th Annual Meeting of the American Meteorological Society, 10–15 January 1999, Dallas, Texas, USA.
  • Manton, M.J., P.S., Bindraban, S. Gadgil, G.L. Hammer, J.W. Hansen, and J.W. Jones. In press. 1999. Implementation of a CLIMAG Demonstration Project.Presented at the CLIMAG Geneva Workshop, WMO Headquarters, Geneva, 27-30 September 1999.
  • Podestá, G.P, D. Letson, J. Jones, J. Hansen, J.J. O’Brien and D. Legler. 1999. Regional Application of ENSO-based climate forecasts to agriculture in the Americas.NOAA Economics and Human Dimensions Investigators Meeting, Tucson, Arizona, 26–28 July 1999.

1998

  • Bidegain, M., and P. Krecl. 1998. Comportamiento de la temperatura en el sudeste de Sudamérica (Uruguay) asociado al fenómeno ENSO. VIII Congreso Brasileño y VIII Congreso Ibero-Latinoamericano de Meteorología, 26-30 October 1998, Brasilia, Brazil.
  • Hansen, J.W., and J.W. Jones. 1998. ENSO impacts on crop production in the Southeast US. In 1998 Agronomy Abstracts. Am. Soc. Agronomy, Madison, WI, USA. (Abstract of invited oral presentation)
  • Hansen, J.W., J.W. Jones, and L. Goddard. 1998. Disaggregating climate model predictions for crop simulation applications. In 1998 Agronomy Abstracts. Am. Soc. Agronomy, Madison, WI, USA.
  • Letson, D., M. Grondona, J. Hansen, G. Magrin, G. Parellada, G.P. Podestá, and F. Royce. 1998.Vulnerability of agriculture in Argentina to ENSO-related climatic variability. Presented at the XXI International Congress of Latin American Studies Association, 24-26 September 1998, Chicago, Illinois, USA.
  • Podestá, G.P., M. Marino, H. Hordij, and M. Bidegain. 1998. Presentación alternativa del pronóstico regional de precipitación (An alternative presentation of regional precipitation forecasts). Presented at the Taller sobre El Niño y sus Impactos en el MERCOSUR: Respuestas Nacionales e Internacionales, 26–28 August 1998, Buenos Aires, Argentina.
  • Royce, F.S., J.W. Hansen, J.W. Jones. 1998. Optimization of Agricultural Management using Crop Models and Simulated Annealing. Poster presented at American Society of Agronomy Annual Meeting, Baltimore, October 1998.
  • Royce, F., S. Meira and E. Guevara. 1998. Optimización de Manejo de Frijol Soja y Maíz Utilizando Modelos de Simulación e Información de Fase ENOS en Pergamino, Argentina. [Optimization of Soybean and Maize Management using Simulation Models and ENSO Phase Information at Pergamino, Argentina]. Paper presented at the 11th Scientific Seminar, National Institute of Agricultural Sciences, San José de las Lajas, Cuba, November, 1998.

 

1997

  • Podestá, G.P. 1997. Applications of climate forecasts: An integral component of a regional virtual center. IAI-NSF Workshop on a Regional Virtual Center for Interannual Climate Variability and ENSO in the MERCOSUR region. April 16–18, 1997, Buenos Aires, Argentina.
  • Florida Consortium of Universities. 1997. Associations between ENSO phases and country-level yields of maize, wheat, and soybean in Argentina.In G.J. Berri (ed), Efectos de El Niño sobre la variabilidad climática, agricultura y recursos hídricos en el Sudeste de Sudamérica. Workshop and Conference on the 1997-98 El Niño: Impacts and Potential Applications of Climate Prediction in Southeastern South America, 10-12 December 1997, Montevideo, Uruguay, pp. 38-39.
  • Hansen, J.W. and J.W. Jones. In press. 1997. Scaling-up crop model applications for climate prediction applications.Commissioned for the CLIMAG Geneva Workshop, WMO Headquarters, Geneva, 27-30 September 1999.
  • Grondona, M., G. Magrin, M.I. Travasso, R.C. Moschini, G.R. Rodriguez, C. Messina, D.R. Boullon, G.P. Podestá, and J.W. Jones. 1997. Impacto del fenómeno El Niño sobre la produccion de trigo y maíz en la Región Pampeana Argentina. In G.J. Berri (ed) Efectos de El Niño sobre la variabilidad climática, agricultura y recursos hídricos en el Sudeste de Sudamérica.Workshop and Conference on the 1997-98 El Niño: Impacts and Potential Applications of Climate Prediction in Southeastern South America, 10-12 December 1997, Montevideo, Uruguay, pp. 13-18.

Technical Reports

2013

2012

  • Breuer, NE and Mathews, M. 2012. Climate Information Seeking Behavior among Professionals in Florida. Southeast Climate Consortium Technical Report Series: SECC Technical Report 12-004:125-134.
  • Dinon H, Breuer N, Boyles R, and G Wilkerson. 2012. North Carolina extension agent awareness of and interest in climate information for agriculture. Southeast Climate Consortium Technical Report Series: SECC Technical Report 12-003:81-124.
  • Bartels, W., Furman, C.A. and F. Royce. 2012. Agricultural Adaptation to Climate Variability and Change among African American growers in the Southeast USA. Southeast Climate Consortium Technical Report Series: SECC Technical Report 12-002:57-79.
  • Bartels, W., Furman, C.A., Royce, F, Ortiz, B., Zierden, D., and C. Fraisse. 2012. Developing a learning community: Lessons from a climate working group for agriculture in the southeast USA. Southeast Climate Consortium Technical Report Series: SECC Technical Report 12-001:1-56.

 

2011

  • Bartels W, Arnold J, Breuer NE, Furman CA, Staal L, Irani TA, and JW Jones. 2011. Supporting dialog and learning among stakeholders through climate working groups. Southeast Climate Consortium Technical Report Series: SECC Technical Report 11-001:1-13.

 

2009

  • Furman, C., C. Roncoli, T. Crane, J. Paz, G. Hoogenboom 2009. Managing risk and climate variation among Georgia organic farmers. SECC Technical Report 09-003, Gainesville, FL.
  • Baigorria, G., J.W. Jones. 2009. Gist, a model for generating spatial-temporal daily rainfall data. SECC Technical Report 09-002, Gainesville, FL
  • Cabrera VE, Solís D, Baigorria GA, Letson D. 2009. Managing climate risks to agriculture: evidence from El Niño. SECC Technical Report 09-001, Gainesville, FL.

 

 2008

  • Crane TA, Roncoli C, Paz J, Breuer NE, Broad K, Ingram KT, Hoogenboom G. 2008. Seasonal climate forecasts and risk management among Georgia farmers. SECC Technical Report 08-003, Gainesville, FL.
  • Cabrera VE, D. Solís, D. Letson 2008. Using crop insurance to manage climate-based farm risk: Comparing the cases of insurers and farmers. Southeast Climate Consortium Technical Report Series: SECC Technical Report 08-002, Gainesville, FL.
  • Breuer NE, Adhikarim S, Brown-Salazar R, Clavijo RA, HansPetersen HN, Kawa NC, Patarasuk R, Hildebrand PE. 2008. Extension agent perspectives of climate, seasonal climate forecasts, and the AgClimate decision support system. Southeast Climate Consortium Technical Report Series: SECC Technical Report 08-001, Gainesville, FL.

 

 2007

  • Alderman P, Bost J, Breuer NE, Gill T, Graves D, Hildebrand PE, Livengood E, Mishkin M, Ward DR, Wilsey D. 2007. Farming systems and farmer decision making in Columbia and Suwannee Counties. Southeast Climate Consortium Technical Report Series: SECC Technical Report 07-002, Gainesville, FL.
  • Bellow JG, Shin DW, O’Brien JJ, Schoof J, Jones JW. 2007. Using temperature, precipitation, and solar radiation outputs from a dynamically-downscaled global climate circulation model to predict peanut yields in the Southeastern USA. Southeast Climate Consortium Technical Report Series: SECC Technical Report 07-001, Gainesville, FL.

 

2006

  • Breuer, N., P.E. Hildebrand, and C. Roncoli. 2006. Small-scale farmers as potential users of climate information: An analysis of statistical data from the Southeast United States. Southeast Climate Consortium Technical Report Series: SECC Technical Report 06-009, Gainesville, FL
  • Baigorria, G.A., J.W. Jones, and J.J. O’Brien. 2006. Predicting crop yields using an ensemble of forecast from a regional climate model. Southeast Climate Consortium Technical Report Series: SECC Technical Report 06-008, Gainesville, FL
  • Baigorria, G.A., J.W. Jones, D.W. Shin, A. Mishra, and J.J. O’Brien. 2006. Assessing uncertainties of using daily data from regional numerical climate models into crop models. Southeast Climate Consortium Technical Report Series: SECC Technical Report 06-007, Gainesville, FL
  • Roncoli, C., J. Paz, N. Breuer, K. Ingram, G. Hoogenboom, and K. Broad. 2006. Understanding farming decisions and potential applications of climate forecasts in south Georgia. Southeast Climate Consortium Technical Report Series: SECC Technical Report 06-006, Gainesville, FL
  •  Baigorria, G.A., J.W. Hansen, N. Ward, J.W. Jones, J.J. O’Brien. 2006. Assessing predictability of cotton yields in the southeastern USA based on regional atmospheric circulation and surface temperatures. Southeast Climate Consortium Technical Report Series: SECC Technical Report 06-005, Gainesville, FL
  • Baigorria, G.A., J.W. Jones, and J.J. O’Brien. 2006. Understanding rainfall spatial variability in southeast USA at different timescales. Southeast Climate Consortium Technical Report Series: SECC Technical Report 06-004, Gainesville, FL
  •  Roncoli, C., Breuer, N., Bellow, J., Zierden, D., Ingram, K., Broad, K. 2006. Potential applications of KBDI forecasts for fire management decisions in Georgia and Florida. Southeast Climate Consortium Technical Report Series: SECC Technical Report 06-003, Gainesville, FL
  • Liu, J., C. Men, V. E. Cabrera, S. Uryasev, C. W. Fraisse. 2006. CVaR Model for Optimizing Crop Insurance under Climate Variability. Southeast Climate Consortium Technical Report Series: SECC Technical Report 06-002, Gainesville, FL
  • Cabrera, V., N. Breuer, J. Bellow, and C. W. Fraisse. 2006. Extension agents’ knowledge and perceptions of seasonal climate forecasts in Florida. Southeast Climate Consortium Technical Report Series: SECC Technical Report 06-001, Gainesville, FL

 

2005

  • Breuer, G. Canales, V. Cabrera, P.E. Hildebrand, S. Galindo, T. Kulstad, T. Manganyi, M. Morris, L. Ramos, E. Stonebrook, and D. Toro, 2005. Potential applications of seasonal climate forecasts for water management and Extension agent perceptions of water issues in South Florida. Southeast Climate Consortium Technical Report Series: SECC-05-005, Gainesville, FL
  • Cabrera, V.E., Letson, D., Podestá, G., 2005. The value of climate information when farm programs matter. Southeast Climate Consortium Technical Report Series: SECC-05-004, Gainesville, FL
  • Canales, G., Coles, B., Cornejo, C., Fletcher, T., Manganyi,T., Owuso, K., Painter, K., Pellish, H., Stonerook, E., Wilsey, D., 2005. Perceptions and attitudes of smallholder farmers in North Central Florida regarding the potential usefullness of seasonal climate forecasts. Southeast Climate Consortium Technical Report Series: SECC-05-003, Gainesville, FL
  • Fraisse, C., Bellow, J. Breuer, N., Cabrera, V., Jones, J., Ingram, K., Hoogenboom, G., and Paz, J., 2005. Strategic Plan for the Southeast Climate Consortium Extension Program. Southeast Climate Consortium Technical Report Series: SECC-05-002, Gainesville, FL
  • Vedwana, N., Broad, K., Letson, D., Ingram, K.T., Podestá, G., Breuer, N., Jones, J., and O’Brien, J.J., 2005. Assessment of Climate Information Dissemination by the Florida Climate Consortium. Southeast Climate Consortium Technical Report Series: SECC-05-001, Gainesville, FL

2004

  • Jackson, J., Fraisse, C., 2004. Weather and Climate in Florida: Report of Accomplishment. Southeast Climate Consortium Technical Report Series: SECC-04-002, Gainesville, FL.
  • Barham, J., Y. Gichon, S. Humphries, F. Rossi, D. Alvira, A. Rios, P.E. Hildebrand, V.E. Cabrera, N. Breuer. 2004. Assessment of the format, content, and potential uses of the AgClimate website and crop yield risk assessment tool by extension agents in North Florida.Southeast Climate Consortium Technical Report Series: SECC-2004-001. Gainesville, FL.