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  • JAMES W. HANSEN (a1) (a2), SIMON J. MASON (a2), LIQIANG SUN (a2) and ARAME TALL (a3)

We review the use and value of seasonal climate forecasting for agriculture in sub-Saharan Africa (SSA), with a view to understanding and exploiting opportunities to realize more of its potential benefits. Interaction between the atmosphere and underlying oceans provides the basis for probabilistic forecasts of climate conditions at a seasonal lead-time, including during cropping seasons in parts of SSA. Regional climate outlook forums (RCOF) and national meteorological services (NMS) have been at the forefront of efforts to provide forecast information for agriculture. A survey showed that African NMS often go well beyond the RCOF process to improve seasonal forecast information and disseminate it to the agricultural sector. Evidence from a combination of understanding of how climatic uncertainty impacts agriculture, model-based ex-ante analyses, subjective expressions of demand or value, and the few well-documented evaluations of actual use and resulting benefit suggests that seasonal forecasts may have considerable potential to improve agricultural management and rural livelihoods. However, constraints related to legitimacy, salience, access, understanding, capacity to respond and data scarcity have so far limited the widespread use and benefit from seasonal prediction among smallholder farmers. Those constraints that reflect inadequate information products, policies or institutional process can potentially be overcome. Additional opportunities to benefit rural communities come from expanding the use of seasonal forecast information for coordinating input and credit supply, food crisis management, trade and agricultural insurance. The surge of activity surrounding seasonal forecasting in SSA following the 1997/98 El Niño has waned in recent years, but emerging initiatives, such as the Global Framework for Climate Services and ClimDev-Africa, are poised to reinvigorate support for seasonal forecast information services for agriculture. We conclude with a discussion of institutional and policy changes that we believe will greatly enhance the benefits of seasonal forecasting to agriculture in SSA.

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Abdulai, A., Barrett, C. B. and Hazell, P. (2004). Food aid for market development in Sub-Saharan Africa. DSGD Discussion Paper No. 5. Washington, DC: International Food Policy Research Institute.
AfDB (2009). Framework Document for the Establishment of the ClimDev-Africa Special Fund (CDSF). Tunis, Tunisia: African Development Bank.
Anderson, W. K. (1984). Plant populations for triticale in a Mediterranean environment. Field Crops Research 8: 281295.
Archer, E., Mukhala, E., Walker, S., Dilley, M. and Masamvu, K. (2007). Sustaining agricultural production and food security in Southern Africa: an improved role for climate prediction? Climatic Change 83: 287300.
Archer, E. R. M. (2003). Identifying underserved end-user groups in the provision of climate information. Bulletin of the American Meteorological Society 84: 15251532.
Arndt, C. and Bacou, M. (2000). Economy wide effects of climate variability and prediction in Mozambique. American Journal of Agricultural Economics 82: 750754.
Arndt, C., Bacou, M. and Cruz, A. (2003). Climate forecasts in Mozambique: an economic perspective. In Coping with Climate Variability: The Use of Seasonal Climate Forecasts in Southern Africa, 129152 (Eds O'Brien, K. and Vogel, C.). Abingdon, UK: Ashgate Publishing.
Barnston, A. G., Li, S., Mason, S. J., DeWitt, D. G., Goddard, L. and Gong, X. (2010). Verification of the first 11 years of IRI's seasonal climate forecasts. Journal of Applied Meteorology and Climatology 46: 493520.
Barrett, C. B. (1998). The value of imperfect ENSO forecast information: Discussion. American Journal of Agricultural Economics 80: 11091112.
Barrett, C. B. (2002). Food security and food assistance programs. In Handbook of Agricultural Economics (Eds Gardner, B. L. and Rausser, G. C.). Amsterdam: Elsevier Science.
Barrett, C. B., Barnett, B. J., Carter, M. R., Chantarat, S., Hansen, J. W., Mude, A. G., Osgood, D. E., Skees, J. R., Turvey, C. G. and Ward, M. N. (2007). Poverty traps and climate risk: limitations and opportunities of index-based risk financing. IRI Tech. Rep. No. 07–03. Palisades, New York: International Research Institute for Climate and Society.
Barrett, C. B., Moser, C. M., McHugh, O. V. and Barison, J. (2004). Better technology, better plots or better farmers? Identifying changes in productivity and risk among Malagasy rice farmers. American Journal of Agricultural Economics 86: 869888.
Barrett, C. B. and Swallow, B. M. (2006). Fractal poverty traps. World Development 34: 115.
Basher, R., Clark, C., Dilley, M., and Harrison, M. (Ed) (2001). Coping with Climate: A Way Forward. Summary and Proposals for Action. Palisades, New York: International Research Institute for Climate Prediction.
Blench, R. (1999). Seasonal climate forecasting: Who can use it and how should it be disseminated? Natural Resource Perspectives 47: 15.
Blench, R. (2003). Forecasts and farmers: exploring the limitations. In Coping with Climate Variability: The Use of Seasonal Climate Forecasts in Southern Africa, 5971 (Eds O'Brien, K. and Vogel, C.). Hampshire, UK: Ashgate.
Boulahya, M., Stewart-Cerda, M., Pratt, M. and Sponberg, K. (2005). Climate, communications, and innovative technologies: potential impacts and sustainability of new radio and internet linkages in rural African communities. Climatic Change 70: 299310.
Broad, K. and Agrawala, S. (2000). The Ethiopia food crisis – uses and limits of climate forecasts. Science 289: 16931694.
Buizer, J. L., Foster, J. and Lund, D. (2000). Global impacts and regional actions: Preparing for the 1997–98 El Nino. Bulletin of the American Meteorological Society 81: 21212139.
Byerlee, D., Jayne, T. S. and Myers, R. J. (2006). Managing food price risks and instability in a liberalizing market environment: Overview and policy options. Food Policy 31: 275287.
Cane, M. A., Eshel, G. and Buckland, R. W. (1994). Forecasting Zimbabwean maize yield using eastern equatorial Pacific sea surface temperature. Nature 16: 30593071.
Carriquiry, M. and Osgood, D. (2008). Index insurance, production practices, and probabilistic climate forecasts. CARD working paper 08-WP 465.
Carter, M. R. and Barrett, C. B. (2006). The economics of poverty traps and persistent poverty: an asset-based approach. Journal of Development Studies 42: 178199.
Cash, D. and Buizer, J. (2005). Knowledge-action systems for seasonal to interannual climate forecasting: Summary of a workshop report to the Roundtable on Science and Technology for Sustainability, Policy and Global Affairs. Washington, DC: National Academy Press.
Cash, D. W., Borck, J. C. and Patt, A. G. (2006). Countering the loading dock approach to linking science and decision making: comparative analysis of El Nino/Southern Oscillation (ENSO) forecasting systems. Science, Technology and Human Values 31: 465494.
Cash, D. W., Clark, W. C., Alcock, F., Dickson, N. M., Eckley, N., Guston, D. H., Jager, J. and Mitchell, R. B. (2003). Knowledge systems for sustainable development. Proceedings of the National Academy of Sciences of the United States of America 100: 80868091.
CCAFS (2009). Climate Change, Agriculture and Food Security. A CGIAR Challenge Program. CCAFS Report No. 1. Rome and Paris: The Alliance of the CGIAR Centres and ESSP.
Changnon, S. A. (2002). Impacts of the Midwestern drought forecasts of 2000. Journal of Applied Meteorology 41: 10421052.
Chen, C.-C., McCarl, B. A. and Chang, C.-C. (2008). Strong El Niño–Southern Oscillation events and the economics of the international rice market. Climate Research 36: 113122.
Chidzambwa, S. and Mason, S. J. (2008). Report of the evaluation of Regional Climate Outlook Forecasts for Africa during the period 1997 to 2007. ACMAD Technical Report, 30.
Childs, I. R. W., Hastings, P. A. and Auliciems, A. (1991). The acceptance of long-range weather forecasts: A question of perception? Australian Meteorological Magazine 39: 105112.
Christianson, C. B. and Vlek, P. L. G. (1991). Alleviating soil fertility constraints to food production in West Africa: efficiency of nitrogen fertilizers applied to food crops. Fertilizer Research 29: 2133.
Coventry, W. (2001). Getting the odds across – A better way. Climag 5: 14, 16.
Crane, T. A., Roncoli, C., Paz, J., Breuer, N., Broad, K., Ingram, K. T. and 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: 4459.
Da Silva, J., Garanganga, B., Teveredzi, V., Marx, S. M., Mason, S. J., and Connor, S. J. (2004). Improving epidemic malaria planning, preparedness and response in Southern Africa. Malaria Journal 3: 37.
Dercon, S. (1996). Risk, crop choice, and savings: evidence from Tanzania. Economic Development and Cultural Change 44: 485513.
Dercon, S. and Christiaensen, L. (2007). Consumption risk, technology adoption and poverty traps: evidence from Ethiopia. World Bank Policy Research Working Paper 4257. Washington, DC: World Bank.
Dilley, M. (2000). Reducing vulnerability to climate variability in Southern Africa: the growing role of climate information. Climatic Change 45: 6373.
Dilley, M. (2001). Institutions and sustainability. In Coping with the Climate: A Way Forward. Preparatory Report and Full Workshop Report, 122131 (Eds Basher, R., Clark, C., Dilley, M. and Harrison, M.). Palisades, New York: International Research Institute for Climate Prediction.
Elbers, C., Gunning, J. W. and Kinsey, B. (2007). Growth and risk: methodology and micro evidence. World Bank Economic Review 21: 120.
Fafchamps, M. (2003). Rural Poverty, Risk and Development. Cheltenham, UK: Edward Elgar Publishing.
Fischhoff, B. (1994). What forecasts (seem to) mean. International Journal of Forecasting 10: 387403.
Gigerenzer, G. and Hoffrage, U. (1995). How to improve Bayesian reasoning without instruction: Frequency formats. Psychological Review 102: 684704.
Glantz, M. H. (1977). The value of a long-range weather forecast for the West African Sahel. Bulletin American Meteorological Society 58: 150158.
Glantz, M. H. (Ed) (2001). Once Burned, Twice Shy? Lessons Learned from the 1997/98 El Niño. Tokyo: United Nations University Press.
Glantz, M. H., Katz, R. W. and Nicholls, N. (1991). Teleconnections Linking Worldwide Climate Anomalies: Scientific Basis and Societal Impact. Cambridge: Cambridge University Press.
Goddard, L., Mason, S. J., Zebiak, S. E., Ropelewski, C. F., Basher, R. and Cane, M. A. (2001). Current approaches to seasonal to interannual climate predictions. International Journal of Climatology 21: 11111152.
Gong, X. F., Barnston, A. G. and Ward, M. N. (2003). The effect of spatial aggregation on the skill of seasonal precipitation forecasts. Journal of Climate 16: 30593071.
Haile, M. (2005). Weather patterns, food security and humanitarian response in sub-Saharan Africa. Philosophical Transactions of the Royal Society B-Biological Sciences 360: 21692182.
Hallstrom, D. G. (2004). Interannual climate variation, climate prediction, and agricultural trade: the costs of surprise versus variability. Review of International Economics 12: 441455.
Hammer, G. L., Hansen, J., Phillips, J. G., Mjelde, J. W., Hill, H. S. J., Love, A. and Potgieter, A. (2001). Advances in application of climate prediction in agriculture. Agricultural Systems 70: 515553.
Hansen, J. W., Baethgen, W., Osgood, D., Ceccato, P. and Ngugi, R. K. (2007). Innovations in climate risk management: protecting and building rural livelihoods in a variable and changing climate. Journal of Semi-Arid Tropical Agricultural Research 4 (1). Available from [accessed 15 November 2010].
Hansen, J. W. and Indeje, M. (2004). Linking dynamic seasonal climate forecasts with crop simulation for maize yield prediction in semi-arid Kenya. Agricultural and Forest Meteorology 125: 143157.
Hansen, J. W., Marx, S. and Weber, E. (2004a).The role of climate perceptions, expectations, and forecasts in farmer decision making: The Argentine Pampas and South Florida. IRI Technical Report. Palisades, New York: International Research Institute for Climate and Society.
Hansen, J. W., Mishra, A., Rao, K. P. C., Indeje, M. and Ngugi, R. K. (2009). Potential value of GCM-based seasonal rainfall forecasts for maize management in semi-arid Kenya. Agricultural Systems 101: 8090.
Hansen, J. W., Potgieter, A. and Tippett, M. (2004b). Using a general circulation model to forecast regional wheat yields in Northeast Australia. Agricultural and Forest Meteorology 127: 7792.
Harrison, M. S. J. (2005). The development of seasonal and inter-annual climate forecasting. Climatic Change 70: 201220.
Hellmuth, M. E., Moorhead, A., Thomson, M. C. and Williams, J. (Eds) (2007). Climate Risk Management in Africa: Learning from Practice. New York: International Research Institute for Climate and Society, Columbia University.
Hellmuth, M. E., Osgood, D. E., Hess, U., Moorhead, A. and Bhojwani, H. (Eds) (2009). Index Insurance and Climate Risk: Prospects for Development and Disaster Management. Climate and Society No. 2. Palisades, New York, USA: International Research Institute for Climate and Society.
Hess, U. and Syroka, J. (2005). Weather-based Insurance in Southern Africa: The Case of Malawi. Washington, D. C: The International Bank for Reconstruction and Development/The World Bank.
Hill, H. S. J., Mjelde, J. W., Love, H. A., Rubas, D. J., Fuller, S. W., Rosenthal, W. and Hammer, G. (2004). Implications of seasonal climate forecasts on world wheat trade: a stochastic, dynamic analysis. Canadian Journal of Agricultural Economics 52: 289312.
Hudson, J. and Vogel, C. (2003). The use of seasonal forecasts by livestock farmers in South Africa. In Coping with Climate Variability: the Use of Seasonal Climate Forecasts in Southern Africa, 7596 (Eds O'Brien, K. and Vogel, C.). Aldershot: Ashgate Press.
Hulme, M., Biot, Y., Borton, J., Buchanan-Smith, M., Davies, S., Folland, C., Nicholds, N., Seddon, D. and Ward, N. (1992). Seasonal rainfall forecasting for Africa part II – application and impact assessment. International Journal of Environmental Studies 40: 103121.
Husak, G. J., Michaelsen, J., Kyriakidis, P., Verdin, J. P., Funk, C. and Galu, G. (In press). The Forecast Interpretation Tool – a Monte Carlo technique for blending climatic distributions with probabilistic forecasts. International Journal of Climatology. DOI: 10.1002/joc.2074.
Indeje, M., Ward, M. N., Ogallo, L. J., Davies, G., Dilley, M. and Anyamba, A. (2006). Predictability of the Normalized Difference Vegetation Index. Journal of Climate 19: 16731687.
Ingram, K. T., Roncoli, M. C. and Kirshen, P. H. (2002). Opportunities and constraints for farmers of West Africa to use seasonal precipitation forecasts with Burkina Faso as a case study. Agricultural Systems 74: 331349.
IRI (2005). Mitigating the Effects of Hydro-Climatic Extremes in Southern Africa. Final Report to the USAID Office of Foreign Disaster Assistance. Palisades, NY, USA: International Research Institute for Climate and Society.
IRI (2006). A gap analysis for the implementation of the global climate observing system programme in africa. IRI Tech. Rep. 06–01. Palisades, New York: International Research Institute for Climate and Society.
Jayne, T. S., Zulu, B. and Nijhoff, J. J. (2006). Stabilizing food markets in eastern and southern Africa. Food Policy 31: 328341.
Jochec, K. G., Mjelde, J. W., Lee, A. C. and Conner, J. R. (2001). Use of seasonal climate forecasts in rangeland-based livestock operations in West Texas. Journal of Applied Meteorology 40: 16291630.
Jones, J. W., Hansen, J. W., Royce, F. S. and Messina, C. D. (2000). Potential benefits of climate forecasting to agriculture. Agriculture, Ecosystems and Environment 82: 169184.
Kebede, Y. (1992). Risk behavior and new agricultural technologies: the case of producers in the central highlands of Ethiopia. Quarterly Journal of International Agriculture 31: 269284.
Kelly, V., Adesina, A. A. and Gordon, A. (2003). Expanding access to agricultural inputs in Africa: a review of recent market development experience. Food Policy 28: 379404.
Klopper, E. and Bartman, A. (2003). Forecasts and commercial agriculture: a survey of user needs in South Africa. In Coping with Climate Variability: The Use of Seasonal Climate Forecasts in Southern Africa, 170182 (Eds O'Brien, K. and Vogel, C.). Abingdon, UK: Ashgate Publishing.
Klopper, E., Vogel, C. H. and Landman, W. A. (2006). Seasonal climate forecasts – Potential agricultural risk management tools? Climatic Change 76: 7390.
Lemos, M. C. and Dilling, L. (2007). Equity in forecasting climate: can science save the world's poor? Science Public Policy 34: 109116.
Lemos, M. C., Finan, T. J., Fox, R. W., Nelson, D. R. and Tucker, J. (2002). The use of seasonal climate forecasting in policymaking: lessons from Northeast Brazil. Climate Change 55: 479507.
Letson, D., Llovet, I., Podesta, G., Royce, F., Brescia, V., Lema, D. and Parellada, G. (2001). User perspectives of climate forecasts: crop producers in Pergamino, Argentina. Climate Research 19: 5767.
Luo, H., Skees, J. R. and Marchant, M. A. (1994). Weather information and the potential for intertemporal adverse selection in crop insurance. Review of Agricultural Economics 16: 441451.
Luseno, W. K., McPeak, J. G., Barret, C., Little, P. D. and Gebru, G. (2003). Assessing the value of climate forecast information for pastoralists: evidence from southern Ethiopia and northern Kenya. World Development 31: 14771494.
Lybbert, T. J., Barrett, C., McPeak, J. G. and Luseno, W. K. (2007). Bayesian herders: asymmetric updating of rainfall beliefs in response to external forecasts. World Development 35: 480497.
Lyon, B. and Mason, S. J. (2009). The 1997–98 summer rainfall season in Southern Africa. Part II: model simulations and coupled model forecasts. Journal of Climate 22: 38023818.
Madden, B. and Hayes, G. (2000). Building dairy farmer demand for climate information. In Proceedings of the Conference on Managing Australian Climate Variability. Albury, NSW, Australia, 23–25 October 2000.
Malusalila, P. M. (2000). Experiences of an agricultural input supplier. In Proceedings of the International Forum on Climate Prediction, Agriculture and Development, 8286 Palisades, New York, USA: International Research Institute for Climate and Society.
Marra, M., Pannell, D. J. and Ghadim, A. K. A. (2003). The economics of risk, uncertainty and learning in the adoption of new agricultural technologies: where are we on the learning curve? Agricultural Systems 75: 215234.
Marx, S. M., Weber, E. U., Orlove, B. S., Leiserowitz, A., Krantz, D. H., Roncolia, C. and Phillips, J. (2007). Communication and mental processes: Experiential and analytic processing of uncertain climate information. Global Environmental Change 17: 4758.
Mason, S. J. (2008). ‘Flowering walnuts in the wood’ and other bases for seasonal climate forecasting. In Seasonal Forecasts, Climatic Change and Human Health, 1329 (Eds Thomson, M. C., Garcia-Herrera, R. and Beniston, M.). Dordrecht: Springer.
Mason, S. J. and Jury, M. R. (1997). Climatic change and inter-annual variability over southern Africa: a reflection on underlying processes. Progress in Physical Geography 21: 2350.
McCrea, R., Dalgleish, L. and Coventry, W. (2005). Encouraging use of seasonal climate forecasts by farmers. International Journal of Climatology 25: 11271137.
Meinke, H., Nelson, R., Kokic, P., Stone, R., Selvaraju, R. and Baethgen, W. (2006). Actionable climate knowledge: from analysis to synthesis. Climate Research 33: 101110.
Meza, F. J., Hansen, J. W. and Osgood, D. (2008). Economic value of seasonal climate forecasts for agriculture: review of ex ante assessments and recommendations for future research. Journal of Applied Meteorology and Climatology 47: 12691286.
Miranda, M. J. and Glauber, J. W. (1997). Systemic risk, reinsurance, and the failure of crop insurance markets. American Journal of Agricultural Economics 79: 206215.
Mishra, A., Hansen, J. W., Dingkuhn, M., Baron, C., Traoré, S. B., Ndiaye, O. and Ward, M. N. (2008). Sorghum yield prediction from seasonal rainfall forecasts in Burkina Faso. Agricultural and Forestry Meteorology 148: 17981814.
Moron, V., Robertson, A. W. and Ward, M. N. (2006). Seasonal predictability and spatial coherence of rainfall characteristics in the tropical setting of Senegal. Monthly Weather Review 134: 32483262.
Moron, V., Robertson, A. W. and Ward, M. N. (2007). Spatial coherence of tropical rainfall at regional scale. Journal of Climate 20: 52445263.
Moron, V., Lucero, A., Hilario, F., Lyon, B., Robertson, A. W. and DeWitt, D. (2009). Spatio-temporal variability and predictability of summer monsoon onset over the Philippines. Climate Dynamics. 33: 11591177.
Moron, V., Robertson, A. W. and Qian, J.-H. (2010). Local versus large-scale characteristics of monsoon onset and post-onset rainfall over Indonesia. Climate Dynamics 34: 281291.
Morris, M., Kelly, V. A., Kopicki, R. and Byerlee, D. (2007). Fertilizer Use in African Agriculture: Lessons Learned and Good Practice Guidelines. Washington, DC: World Bank.
Mutai, C. C., Ward, M. N. and Colman, A. W. (1998). Towards the prediction of the East Africa short rains based on sea-surface temperature-atmosphere coupling. International Journal of Climatology 18: 975997.
Mwinamo, J. M. (2001). Investigation on Utility of Weather and Climate Forecasts on Farming Activities in Kwale District, Kenya. Silver Springs, MD, USA: NOAA Office of Global Programs.
Myers, R. J. K. and Foale, M. A. (1981). Row spacing and population density in grain sorghum – a simple analysis. Field Crops Research 4: 147154.
Ndiaye, O., Goddard, L. and Ward, M. N. (2009). Using regional wind fields to improve general circulation model forecasts of July–September Sahel rainfall. International Journal of Climatology 29: 12621275.
Ndiaye, O., Hansen, J. W. and Robertson, A. (2008). Prediction of rainfall frequency and related quantities in West Africa. Report prepared for the International Federation of the Red Cross – West Africa. International Research Institute for Climate and Society.
Ndiaye, O., Ward, M. N. and Thiaw, W. (In press). Predictability of seasonal Sahel rainfall using GCMs and lead-time improvements through a coupled model. Journal of Climate. doi:10.1175/2010JCLI3557.1
Nelson, D. and Finan, T. (2000). The emergence of a climate anthropology in Northeast Brazil. Practicing Anthropologist 22: 610.
Ngugi, R. K. (2002). Climate forecast information: the status, needs and expectations among smallholder agro-pastoralists in Machakos District, Kenya. IRI Technical Report 31. Palisades, NY: IRI, Columbia Earth Institute, Columbia University.
Nicholls, N. and Kestin, T. (1998). Communicating climate. Climatic Change 40: 417420.
O'Brien, K., Sygna, L., Otto Naess, L., Kingamkono, R. and Hochobeb, B. (2000). Is Information Enough? User Responses to Seasonal Climate Forecasts in Southern Africa. Oslo, Norway: Center for International Climate and Environment Research (CICERO)
Ogallo, L., Bessemoulin, P., Ceron, J. P., Mason, S. and Connor, S. J. (2008). Adapting to climate variability and change: The climate outlook forum process. WMO Bulletin 57: 93102.
Omamo, S. W. and Lynam, J. K. (2003). Agricultural science and technology policy in Africa. Research Policy 32: 16811694.
Orlove, B. S. and Roncoli, C. (2006). Integration of Climate Information from Multiple Sources through Group Discussion in Ugandan Farm Communities. New York: Center for Research on Environmental Decisions, Columbia University.
Orlove, B. S. and Tosteson, J. L. (1999). The application of seasonal to interannual climate forecasts based on El Niño-Southern Oscillation (ENSO) events: Lessons from Australia, Brazil, Ethiopia, Peru and Zimbabwe. Berkeley Workshop on Environmental Politics Working Paper WP 99–3. Institute of International Studies, University of California, Berkeley.
Osgood, D. E., Suarez, P., Hansen, J. W., Carriquiry, M. and Mishra, A. (2008). Integrating seasonal forecasts and insurance for adaptation among subsistence farmers: the case of malawi. World Bank Policy Research Working Paper No. 4651. Washington, DC: World Bank.
Pala, M., Matar, A. and Mazid, A. (1996). Assessment of the effects of environmental factors on the response of wheat to fertilizer in on-farm trials in Northern Syria. Experimental Agriculture 32: 339349.
Palmer, T. N. and Anderson, D. L. T. (1994). The prospect for seasonal forecasting – a review paper. Quarterly Journal of the Royal Meteorological Society 120: 755793.
Patt, A., Suarez, P. and Gwata, C. (2005). Effects of seasonal climate forecasts and participatory workshops among subsistence farmers in Zimbabwe. Proceedings of the National Academy of Sciences 102: 1262312628.
Patt, A. G. (2001). Understanding uncertainty: forecasting seasonal climate for farmers in Zimbabwe. Risk Decision and Policy 6: 105119.
Patt, A. G. and Gwata, C. (2002). Effective seasonal climate forecasts applications: examining constraints for subsistence farmers in Zimbabwe. Global Environmental Change-Human and Policy Dimensions 12: 185195.
Patt, A. G., Ogallo, L. J. and Hellmuth, M. (2007). Learning from 10 years of climate outlook forums in Africa. Science 318: 4950.
Patt, A. G. and Schrag, D. P. (2003). Using specific language to describe risk and probability. Climatic Change 61: 1730.
Phillips, J. (2003). Determinants of forecast use among communal farmers in Zimbabwe. In Coping with Climate Variability: The Use of Seasonal Climate Forecasts in Southern Africa, 110126 (Eds O'Brien, K. and Vogel, C.). Abingdon, UK: Ashgate Publishing.
Phillips, J. and Orlove, B. S. (2004). Improving climate forecast communications for farm management in Uganda. Final Report to NOAA Office of Global Programs.
Phillips, J. G., Deane, D., Unganai, L. and Chimeli, A. (2002). Implications of farm-level response to seasonal climate forecasts for aggregate grain production in Zimbabwe. Agricultural Systems 74: 351369.
Phillips, J. G., Unganai, L. and Makaudze, E. (2001). Current and potential use of seasonal climate forecasts for resource-poor farmers in Zimbabwe. In Impacts of El Niño and Climate Variability on Agriculture. ASA Special Publication no. 63, 87100 (Eds Rosenzweig, C., Boote, K. J., Hollinger, S., Iglesias, A. and Phillips, J.). Madison, Wis., USA American Society of Agronomy
Piha, M. I. (1993). Optimising fertiliser use and practical rainfall capture in a semi-arid environment with variable rainfall. Experimental Agriculture 29: 405415.
Podestá, G. P., Letson, D., Messina, C. D., Royce, F. S., Ferreyra, R. A., Jones, J. W., Hansen, J. W., Llovet, I., Grondona, M. O. and O'Brien, J. J. (2002). Use of ENSO-related climate information in agricultural decision making in Argentina: A pilot experience. Agricultural Systems 74: 371392.
Poulton, C., Kydd, J. and Dorward, A. (2006a). Overcoming market constraints on pro-poor agricultural growth in sub-Saharan Africa. Development Policy Review 24: 243277.
Poulton, P. L., Kydd, J., Wiggins, S. and Dorward, A. (2006b). State intervention for food price stabilisation in Africa: Can it work? Food Policy 31: 342356.
Quan, X. W., Webster, P. J., Moore, A. M. and Chang, H. R. (2004). Seasonality in SST-forced atmospheric short-term climate predictability. Journal of Climate 17: 30903108.
Rengalakshmi, R. (2007). Localized climate forecasting system: seasonal climate and weather prediction for farm level decision-making. In Climate Prediction and Agriculture: Advances and Challenges, 129134 (Eds Sivakumar, M. V. K. and Hansen, J. W.). Berlin: Springer.
Robertson, A. W., Moron, V. and Swarinoto, Y. (2009). Seasonal predictability of daily rainfall statistics over Indramayu district, Indonesia. International Journal of Climatology 29: 14491462.
Rockefeller Foundation (2010). African Agriculture and Climate Change Resilience Strategy. New York: Rockefeller Foundation.
Roncoli, C., Jost, C., Kirshen, P. and Hoogenboom, G. (2005). Risk management and social learning in farmers’ responses to seasonal climate forecasts in three agro-ecological zones of Burkina Faso. In American Association of Geographers Annual Meeting. Denver, Colorado.
Roncoli, C., Jost, C., Kirshen, P., Sanon, M., Ingram, K. T., Woodin, M., Somé, L., Ouattara, F., Sanfo, B. J., Sia, C., Yaka, P. and Hoogenboom, G. (2009). From accessing to assessing forecasts: an end-to-end study of participatory climate forecast dissemination in Burkina Faso (West Africa). Climatic Change 92: 433460.
Rose, E. (2001). Ex ante and ex post labor supply response to risk in a low-income area. Journal of Development Economics 64: 371388.
Rosenzweig, C. (1994). Maize suffers a sea-change. Nature 370: 175176.
Rosenzweig, M. R. and Binswanger, H. P. (1993). Wealth, weather risk and the composition and profitability of agricultural investments. The Economic Journal 103: 5678.
Rosenzweig, M. R. and Stark, O. (1989). Consumption smoothing, migration and marriage. Journal of Political Economy 97: 905926.
Simtowe, F. P. (2006). Can risk-aversion towards fertilizer explain part of the non-adoption puzzle for hybrid maize? Empirical evidence from Malawi. Journal of Applied Sciences 6: 14901498.
Suarez, P. and Patt, A. (2004). Caution, cognition, and credibility: the risks of climate forecast application. Risk, Decision and Policy 9: 7589.
Sun, L., Li, H., Ward, M. N. and Moncunill, D. F. (2007). Climate variability and corn yields in semiarid Ceará, Brazil. Journal of Applied Meteorology and Climatology 46: 226240.
Sun, L., Moncunill, D. F., Li, H., Moura, A. D. and De Assis De Souza Filho, F. (2005). Climate downscaling over Nordeste, Brazil, Using the NCEP RSM97. Journal of Climate 18: 551567.
Sun, L., Semazzi, F. H. M., Giorgi, F. and Ogallo, L. (1999). Application of NCAR regional climate model to eastern Africa: Part II: Simulations of interannual variability of precipitation. Journal of Geophysical Research 104: 65496562.
Sylla, M. B., Gaye, A. T., Pal, J. S., Jenkins, G. S. and Bi, X. Q. (2009). High-resolution simulations of West African climate using regional climate model (RegCM3) with different lateral boundary conditions. Theoretical and Applied Climatology 98: 293314.
Tall, A., Mason, S. J., Suarez, P., Ait-Chellouche, Y., Diallo, A. A., Braman, L. and van Aalst, M. (In press). Seasonal forecasts to guide disaster management: The experience of the Red Cross during the 2008 floods in West Africa. Weather, Climate and Society
Tarhule, A. and Lamb, P. J. (2003). Climate Research and Seasonal Forecasting for West Africans. Bulletin of the American Meteorological Society 84: 17411759.
Thornton, P. K., Fawcett, R. H., Galvin, K. A., Boone, R. B., Hudson, J. W. and Vogel, C. H. (2004). Evaluating management options that use climate forecasts: modelling livestock production systems in the semi-arid zone of South Africa. Climate Research 26: 3342.
Traoré, P. C. S., Kouressy, M., Vaksmann, M., Tabo, R., Maikano, I., Traoré, S. B. and Cooper, P. (2007). Climate prediction and agriculture: what is different about Sudano-Sahelian West Africa? In Climate Prediction and Agriculture: Advances and Challenges (Eds Sivakumar, M. V. K. and Hansen, J. W.). Berlin: Springer.
Troccoli, A. (2010). Seasonal climate forecasting: a review. Meteorological Applications DOI: 10.1002/met.184.
UNDP/WMO (2000). Coping with Drought in Sub-Saharan Africa: Better Use of Climate Information. In WMO/TD 1035 Geneva: UN Development Programme and World Meteorological Organization.
Vogel, C. (2000). Useable science: An assessment of long-term seasonal forecasts amongst farmers in rural areas of South Africa. South African Geographical Journal 82: 107116.
Ward, M. N. (1998). Diagnosis and short-lead time prediction of summer rainfall in tropical North Africa at interannual and multidecadal timescales. Journal of Climate 11: 31673191.
Washington, R., Harrison, M., Conway, D., Black, E., Challinor, A., Grimes, D., Jones, R., Morse, A., Kay, G. and Todd, M. (2006). African climate change: taking the shorter route. Bull. Amer. Meteor. Soc. 87: 13551366.
Wilks, D. S. (2000). Diagnostic verification of the Climate Prediction Center long-lead outlooks, 1995–98. Journal of Climate 13: 23892403.
Wilks, D. S. and Godfrey, (2002). Diagnostic verification of the IRI Net Assessment forecasts, 1997–2000. Journal of Climate 15: 13691377.
WMO (2009). Report of the World Climate Conference–3: Better climate information for a better future, Geneva, Switzerland, 31 August–4 September 2009. WMO No. 1048. Geneva: World Meteorological Organization.
Zebiak, S. E. (1999). El Niño and the science of climate prediction. Consequences 5: 315.
Ziervogel, G. (2004). Targeting seasonal climate forecasts for integration into household level decisions: the case of small farmers in Lesotho. The Geographical Journal 170: 621.
Ziervogel, G. and Downing, T. E. (2004). Stakeholder networks: improving seasonal climate forecasts. Climatic Change 65: 73101.
Zimmerman, F. J. and Carter, M. R. (2003). Asset smoothing, consumption smoothing and the reproduction of inequality under risk and subsistence constraints. Journal of Development Economics 71: 233260.
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Experimental Agriculture
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