Challenges for integrating seasonal climate forecasts in user applications

Current Opinion in Environmental Sustainability

Volumn 2, Issue 5-6, 2010, Pages 317-325

  Coelho, Caio A S ^a   Costa, Simone M S ^a  

^a INSTITUTO NACIONAL DE PESQUISAS ESPACIAIS   (Brazil)

Author keywords

[No Author keywords available]

Indexed keywords

DECISION MAKING; INTEGRATED APPROACH; SEASONALITY; WEATHER FORECASTING;

EID: 78649853176     PISSN: 18773435     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cosust.2010.09.002     Document Type: Review

References (117)

1. Power S.B., Plummer N., Alford P. Making climate model forecasts more useful. Aust J Agric Res 2007, 58:945-951. 10.1071/AR06196.
2. Archer D.R., Fowler H.J. Using meteorological data to forecast seasonal runoff on the River Jhelum, Pakistan. J Hydrol 2008, 361:10-23. 10.1016/j.jhydrol.2008.07.017.
3. Mauget S.A., Ko J. A two-tier statistical forecast method for agricultural and resource management simulations. J Appl Meteorol Clim 2008, 47:1573-1589. 10.1175/2007JAMC1749.1.
4. Meza F.J., Hansen J.W., Osgood D. Economic value of seasonal climate forecasts for agriculture: review of ex-ante assessments and recommendations for future research. J Appl Meteorol Clim 2008, 47:1269-1286. 10.1175/2007JAMC1540.1.
5. Rarieya M., Fortun K. Food security and seasonal climate information: Kenyan challenges Sustainability. Science 2009, 1-16. 10.1007/s11625-009-0099-8.
6. Letson D., Laciana C.E., Bert F.E., Weber E.U., Katz R.W., Gonzalez X.I., Podestá G.P. Value of perfect ENSO phase predictions for agriculture: evaluating the impact of land tenure and decision objectives. Climatic Change 2009, 97:145-170. 10.1007/s10584-009-9600-8.
7. Sankarasubramanian A., Lall U., Devineni N., Espinueva S. The role of monthly updated climate forecasts in improving intraseasonal water allocation. J App Meteorol Clim 2009, 48:464-1482. 10.1175/2009JAMC2122.1.
8. García-Morales M.B., Dubus L. Forecasting precipitation for hydroelectric power management: How to exploit GCM's seasonal ensemble forecasts. Int J Climatol 2007, 27:1691-1705. 10.1002/joc.1608.
9. Hansen J., Sivakumar M.V.K. Advances in applying climate prediction to agriculture. Clim Res 2006, 33:27-41.
10. Doblas-Reyes F.J., Hagedorn R., Palmer T.N. Developments in dynamical seasonal forecasting relevant to agricultural management. Clim Res 2006, 33:19-26. 10.3354/cr033019.
11. Cane M., Eshel G., Buckland R. Forecasting Zimbabwean maize yield using eastern equatorial Pacific sea surface temperatures. Nature 1994, 370:204-205. 10.1038/370204a0.
12. Saha S., Nadiga S., Thiaw C., Wang J., Wang W., Zhang Q., van den Dool H.M., Pan H.-L., Moorthi S., Behringer D., et al. The NCEP Climate Forecast System. J Climate 2006, 19:3483-3517.
13. Anderson D., Stockdale T., Balmaseda M., Ferranti L., Vitart F., Molteni F., Doblas-Reyes F., Mogenson K., Vidard A. Development of the ECMWF seasonal forecast System 3. ECMWF Tech Memo 2007, 503.
14. Doblas-Reyes F.J., Weisheimer A., Déqué M., Keenlyside N., McVean M., Murphy J.M., Rogel P., Smith D., Palmer T.N. Addressing model uncertainty in seasonal and annual dynamical seasonal forecasts. Q J Roy Meteor Soc 2009, 135:1538-1559. 10.1002/qj.464.
15. Chou S.C., Bustamante J., Gomes J. Evaluation of Eta model seasonal precipitation forecasts over South America. Nonlinear Proc Geoph 2005, 12:537-555.
16. Reis D., Martins E., Nascimento L.S., Costa A., Alexandre A. Monthly streamflow forecasts for the state of Ceará, Brazil. IAHS-AISH Publication 2007, 313:158-166.
17. Sun L., Moncunill D.F., Li H., Moura A.D., Filho F.A.S. Climate downscaling over Nordeste Brazil using NCEP RSM97. J Climate 2005, 18:551-567.
18. Sun L., Moncunill D.F., Li H., Moura A.D., Filho F.A.S., Zebiak S.E. An operational dynamical downscaling prediction system for Nordeste Brazil and the 2002-04 real-time forecast validation. J Climate 2006, 19:1990-2007.
19. Wu Z., Wang B., Li J., Jin F.-F. An empirical seasonal prediction model of the east Asian summer monsoon using ENSO and NAO. J Geophys Res: Atmos 2009, 114:D18120. 10.1029/2009JD011733.
20. Hastenrath S., Sun L., Moura A.D. Climate prediction for Brazil's Nordeste by empirical and numerical modeling methods. Int J Climatol 2009, 29:921-926. 10.1002/joc.1770.
21. Coelho C.A.S., Stephenson D.B., Balmaseda M., Doblas-Reyes F.J., van Oldenborgh G.J. Towards an integrated seasonal forecasting system for South America. J Climate 2006, 19:3704-3721.
22. Kug J.-S., Ham Y.-G., Kimoto M., Jin F.-F., Kang I.-S. New approach for optimal perturbation method in ensemble climate prediction with empirical singular vector. Clim Dyn 2009, 1-10. 10.1007/s00382-009-0664-y.
23. Palmer T.N., Alessandri A., Andersen U., Cantelaube P., Davey M., Déqué M., Díaz E., Doblas-Reyes F.J., Feddersen H., Graham R., et al. Development of a European Multi-Model Ensemble System for Seasonal to Inter-Annual Prediction (DEMETER). Bull Am Meteorol Soc 2004, 85:853-872. 10.1175/BAMS-85-6-853.
24. Charney J.G., Shukla J. Predictability of monsoons. Monsoon Dynamics 1981, 99-109. Cambridge University Press. J. Lighthill, R.P. Pearce (Eds.).
25. Shukla J. Predictability in the Midst of Chaos: a scientific basis for climate forecasting. Science 1998, 282:728-731.
26. Wallace J.M., Gutzler D.S. Teleconnections in the geopotential height field during the Northern Hemisphere winter. Mon Wea Rev 1981, 109:785-812.
27. Ropelewski C.F., Halpert M.S. Global and regional scale precipitation patterns associated with El Nino/Southern Oscillation. Mon Wea Rev 1987, 115:1606-1626.
28. Stockdale TN, Anderson DLT, Balmaseda MA, Doblas-Reyes FJ, Ferranti L, Mogensen K, Palmer TN, Molteni F, Vitart F: ECMWF seasonal forecast System 3 and its prediction of sea surface temperature. Clim Dyn (in review process).
29. Palmer T.N., Doblas-Reyes F.J., Hagedorn R., Weisheimer A. Probabilistic prediction of climate using multi-model ensembles: from basics to applications. Philos Trans R Soc B 2005, 360:1991-1998. 10.1098/rstb.2005.1750.
30. Doblas-Reyes F.J., Hagedorn R., Palmer T.N. The rationale behind the success of multi-model ensembles in seasonal forecasting. Part II. Calibration and combination. Tellus A 2005, 57:234-252. 10.1111/j.1600-0870.2005.00104.x.
31. Hagedorn R., Doblas-Reyes F.J., Palmer T.N. The rationale behind the success of multi-model ensembles in seasonal forecasting. Part I. Basic concept. Tellus A 2005, 57:219-233. 10.1111/j.1600-0870.2005.00103.x.
32. Weisheimer A., Doblas-Reyes F.J., Palmer T.N., Alessandri A., Arribas A., Déqué M., Keenlyside N., MacVean M., Navarra A., Rogel P. ENSEMBLES-a new multi-model ensemble for seasonal-to-annual predictions: Skill and progress beyond DEMETER in forecasting tropical Pacific SSTs. Geophys Res Lett 2009, 36:L21711. 10.1029/2009GL040896.
33. Jury M.R. Climate influence on dengue epidemics in Puerto Rico. Int J Environ Health Res 2008, 18:323-334. 10.1080/09603120701849836.
34. Marletto V., Zinoni F., Criscuolo L., Fontana G., Marchesi S. Evaluation of downscaled DEMETER multi-model ensemble seasonal hindcasts in northen Italy by means of a model of wheat growth and soil water balance. Tellus A 2005, 57:488-497. 10.1111/j.1600-0870.2005.00109.x.
35. Challinor A.J., Slingo J.M., Wheeler T.R., Doblas-Reyes F.J. Probability simulations of crop yield over western India using the DEMETER seasonal hindcast ensembles. Tellus A 2005, 57:498-512. 10.1111/j.1600-0870.2005.00126.x.
36. Brown M., Funk C. Vegetation monitoring in semi-arid Africa for food security early warning: integrating NDVI with food prices and NCVI projections for earlier early warning. AARSE 6th Conference 2006.
37. Funk C., Brown M. Intra-seasonal NDVI change projections in semi-arid Africa. Remote Sens Environ 2006, 101:249-256. 10.1016/j.rse.2005.12.014.
38. Broad K., Agrawala S. The Ethiopia food crisis: uses and limits of climate forecasts. Science 2000, 289:1693-1694. 10.1126/science.289.5485.1693.
39. Erkineh T. Food security in Ethiopia. Climate Risk Management in Africa: Learning from Practice 2007, 31-44. International Research Institute for Climate and Society (IRI), Columbia University, New York. M. Hellmuth, A. Moorhead, M.C. Thomson, J. Williams (Eds.).
40. Lucio F., Muianga A., Muller M. Flood management in Mozambique. Climate Risk Management in Africa: Learning from Practice 2007, International Research Institute for Climate and Society (IRI), Columbia University, New York. M. Hellmuth, A. Moorhead, M.C. Thomson, J. Williams (Eds.).
41. Thomson A., Jenden P., Clay E. Information, Risk, and Disaster Preparedness: Responses to the 1997 El Nino event 1998, SOS Sahel, London.
42. Morse A.P., Doblas-Reyes F.J., Hoshen M.B., Hagedorn R., Palmer T.N. A forecast quality assessment of an end-to-end probabilistic multi-model seasonal forecast system using a malaria model. Tellus A 2005, 57:464-475.
43. Thomson M.C., Doblas-Reyes F.J., Mason S.J., Hagedorn R., Connor S.J., Phindela T., Morse A.P., Palmer T.N. Malaria early warnings based on seasonal climate forecasts from multi-model ensembles. Nature 2006, 439:576-579. 10.1038/nature04503.
44. Ceccato P., Ghebremeskel T., Jaiteh M., Graves P.M., Levy M., Ghebreselassie S., Ogbamariam A., Barnston A.G., Bell M., del Corral J., et al. Malaria stratification, climate, and epidemic early warning in Eritrea. Am J Trop Med Hyg 2007, 77:61-68.
45. Lowe R, Bailey TC, Stephenson DB, Graham RJ, Coelho CAS, Carvalho MS, Barcellos C: Spatio-temporal modelling of climate-sensitive disease risk: towards an early warning system for dengue in Brazil. Comput Geosci 2010, doi:10.1016/j.cageo.2010.01.008.
46. Degallier N., Favier C., Menkes C., Lengaigne M., Ramalho W.M., Souza R., Servain J., Boulanger J.-P. Toward an early warning system for dengue prevention: modeling climate impact on dengue transmission. Climatic Change 2010, 98:581-592. 10.1007/s10584-009-9747-3.
47. Patt A.G., Suarez P., Gwata C. Effects of seasonal climate forecasts and participatory workshops among subsistence farmers in Zimbabwe. Proc Natl Acad Sci USA 2005, 102:12623-12628.
48. Patt A.G., Ogallo L., Hellmuth M. Learning from 10 years of Climate Outlook Forums in Africa. Science 2007, 318:49-50.
49. Glantz M. Once Burned, Twice Shy? Lessons Learned from the 1997-98 El Niño 2000, UNEP/NCAR/UNU/WMO/ISDR, Tokyo, Japan.
50. Lemos M.C., Finan T.J., Fox R.W., Nelson D.R., Tucker J. The use of seasonal climate forecasting in policymaking: lessons from Northeast Brazil. Climatic Change 2002, 55:479-507.
51. Applications of Seasonal Climate Forecasting in Agricultural and Natural Ecosystems. The Australian Experience 2000, Atmospheric and Oceanographic Sciences Library. G.L. Hammer, N. Nicholls, C. Mitchell (Eds.).
52. Coelho C.A.S., Stephenson D.B., Doblas-Reyes F.J., Balmaseda M., Graham R. Integrated seasonal climate forecasts for South America. CLIVAR Exchanges 2007, 12:13-19. No. 43.
53. Sivakumar M.V.K. Climate prediction and agriculture: current status and future challenges. Clim Res 2006, 33:3-17.
54. Phillips J., Makaudze E., Unganai L. Current and potential use of climate forecasts for resource-poor farmers in Zimbabwe. Impacts of El Niño and Climate Variability on Agriculture. Am Soc Agron Spec Publ Ser 2001, 63:87-100.
55. Phillips J., Orlove B.S. Improving Climate Forecast Communication for Farm Management in Uganda 2004, National Oceanic and Atmospheric Administration, Washington.
56. Roncoli C. Ethnographic and participatory approaches to research on farmers' responses to climate predictions. Clim Res 2006, 33:81-99.
57. Roncoli C., Ingram K. Reading the rains: local knowledge and rainfall forecasting in Burkina Faso. Soc Nat Resour 2002, 15:409-427.
58. Roncoli C., Jost C., Kirshen P., Hoogenboom G., Ingram K., Sanon M., Somé L., Sanfo J., SiaOuattara F. From accessing to assessing forecasts: an end-to-end study of participatory climate forecast dissemination in Burkina Faso (West Africa). Climatic Change 2009, 92:433.
59. Ghile Y.B., Schulze R.E. Development of a framework for an integrated time-varying agrohydrological forecast system for Southern Africa: initial results for seasonal forecasts. Water SA 2008, 34:315-322.
60. Hansen J.W., Challinor A., Ines A.V.M., Wheeler T., Moron V. Translating climate forecasts into agricultural terms: advances and challenges. Clim Res 2006, 33:27-41.
61. Coelho C.A.S., Stephenson D.B., Doblas-Reyes F.J., Balmaseda M., Guetter A., van Oldenborgh G.J. A Bayesian approach for multi-model downscaling: Seasonal forecasting of regional rainfall and river flows in South America. Meteorol Appl 2006, 13:73-82. 10.1017/S1350482705002045.
62. Feddersen H., Andersen U. A method for statistical downscaling of seasonal ensemble predictions. Tellus A 2005, 57:398-408. 10.1111/j.1600-0870.2005.00102.x.
63. Pavan V., Marchesi S., Morgillo A., Cacciamani C., Doblas-Reyes F.J. Downscaling of DEMETER winter seasonal hindcasts over Northern Italy. Tellus A 2005, 57:424-434. 10.1111/j.1600-0870.2005.00111.x.
64. Díez E., Primo C., García-Moya J.A., Gutiérrez J.M., Orfila B. Statistical and dynamical downscaling of precipitation over Spain from DEMETER seasonal forecasts. Tellus A 2005, 57:409-423. 10.1111/j.1600-0870.2005.00130.x.
65. Hansen J.W., Ines A.V.M. Stochastic disaggregation of monthly rainfall data for crop simulation studies. Agric Forest Meteorol 2005, 131:233-246. 10.1016/j.agrformet.2005.06.006.
66. Robertson A.W., Ines A.V.M., Hansen J.W. Downscaling of seasonal precipitation for crop simulation. J Appl Meteorol Clim 2007, 46:677-693.
67. Moron V., Robertson A.W., Ward M.N. Weather types and rainfall in Senegal. Part II. Downscaling of GCM Simulations. J Climate 2008, 21:288-307.
68. Ghile Y.B., Schulze R.E. Use of an ensemble re-ordering method for disaggregation of seasonal categorical rainfall forecasts into conditioned ensembles of daily rainfall for hydrological forecasting. J Hydrol 2009, 371:85-97. 10.1016/j.jhydrol.2009.03.019.
69. Ines A.V.M., Hansen J.W. Bias correction of daily GCM rainfall for crop simulation studies. Agric Forest Meteorol 2006, 138:44-53. 10.1016/j.agrformet.2006.03.009.
70. d'Orgeval T., Boulanger J.-P., Capalbo M.J., Guevara E., Penalba O., Meira S. Yield estimation and sowing date optimization based on seasonal climate information in the three CLARIS sites. Climatic Change 2010, 98:565-580. 10.1007/s10584-009-9746-4.
71. Favier C., Degallier N., Dubois M.A. Dengue epidemic modelling: stakes and pitfalls. Asia Pacific Biotech News 2005, 9:1191-1194.
72. Degallier N., Favier C., Boulanger J.-P., Menkes C.E., Oliveira C. Une nouvelle méthode d'estimation du taux de reproduction des maladies (Ro): application à l'étude des épidémies de Dengue dans le District Fédéral, Brésil. Environ Risques Santé 2005, 4:131-135.
73. Thomson M.C., Mason S.J., Phindela T., Connor S.J. Use of rainfall and sea surface temperature monitoring for malaria early warning in Botswana. Am J Trop Med Hyg 2005, 73:214-221.
74. Jones A.E., Wort U.U., Morse A.P., Hastings I.M., Gagnon A.S. Climate prediction of El Niño malaria epidemics in north-west Tanzania. Malar J 2007, 6:162. 10.1186/1475-2875-6-162.
75. Trawinski P.R., MacKay D.S. Meteorologically conditioned time-series predictions of West Nile virus vector mosquitoes. Vector Borne Zoonotic Dis 2008, 8:505-521. 10.1089/vbz.2007.0202.
76. Medina D.C., Findley S.E., Doumbia S. State-space forecasting of Schistosoma haematobium time-series in Niono, Mali. PLoS Neglect Trop D 2008, 2. 10.1371/journal.pntd.0000276.g001.
77. Mishra A., Hansen J.W., Dingkuhn M., Baron C., Traore S.B., Ndiaye O., Ward M.N. Sorghum yield prediction from seasonal rainfall forecasts in Burkina Faso. Agric Forest Meteorol 2008, 148:1798-1814.
78. Baigorria G.A., Hansen J.W., Ward M.N., Jones J.W., O'Brien J.J. Regional atmospheric circulation and surface temperatures predicting cotton yields in the southeastern USA. J Appl Meteorol Clim 2008, 47:76-91.
79. Peiris T.S.G., Hansen J.W., Zubair L. Use of seasonal rainfall in forecasting annual national coconut production in Sri Lanka: an integrated approach. Int J Climatol 2008, 28:103-110. 10.1002/joc.1517.
80. Cantelaube P.T., Terres J.-M. Seasonal weather forecasts for crop yield modelling in Europe. Tellus A 2005, 57:476-487. 10.1111/j.1600-0870.2005.00125.x.
81. McGregor G.R., Cox M., Cui Y., Cui Z., Davey M.K., Graham R.F., Brookshaw A. Winter-season climate prediction for the U.K. health sector. J Appl Meteorol Clim 2006, 45:1782-1792.
82. Lima C.H.R., Lall U. Climate informed monthly streamflow forecasts for the Brazilian hydropower network using a periodic ridge regression model. J Hydrol 2010, 380:438-449. 10.1016/j.jhydrol.2009.11.016.
83. Axel J., Céron J.P. Climate forecasts and the Manantali Dam. Elements for Life 2007, 70-71. Tudor Rose, London. J. Griffiths (Ed.).
84. Johnston P., Ziervogel G., Matthew M. The uptake and usefulness of weather and climate forecast information among water resource managers in the SW Cape region of South Africa. Applied Geography Conference, Indianapolis, Indiana. Papers of the Applied Geography Conferences, vol. 30 2007, 380-389.
85. Rader M., Kirshen P., Roncoli C., Hoogenboom G., Ouattara F. Agricultural risk decision support system for resource-poor farmers in Burkina Faso, West Africa. J Water Res Pl-Asce 2009, 135:323-333. 10.1061/(ASCE)0733-9496(2009).
86. Hansen J.W. Integrating seasonal climate prediction and agricultural models for insights into agricultural practice. Philos Trans R Soc B 2005, 360:2037-2047. 10.1098/rstb.2005.1747.
87. Hansen J.W., Mishra A., Rao K.P.C., Indeje M., Ngugi R.K. Potential value of GCM-based seasonal rainfall forecasts for maize management in semi-arid Kenya. Agric Syst 2009, 101:80-90. 10.1016/j.agsy.2009.03.005.
88. Hansen J.W., Baethgen W., Osgood D., Ceccato P., Ngugi R.K. Innovations in climate risk management: protecting and building rural livelihoods in a variable and changing climate. J Semi-Arid Trop Agric Res 2007, 4.
89. Vogel C., O'Brien K. Who can eat information? Examining the effectiveness of seasonal climate forecasts and regional climate-risk management strategies. Clim Res 2006, 33:111-122.
90. Cabrera V.E., Breuer N.E., Hildebrand P.E. Participatory modeling in dairy farm systems: a method for building consensual environmental sustainability using seasonal climate forecasts. Climatic Change 2008, 89:395-409. 10.1007/s10584-007-9371-z.
91. Roncoli C., Orlove B.S., Kabugo M.R., Waiswa M.M. Cultural styles of participation in farmers' discussions of seasonal climate forecasts in Uganda. Agric Hum Values 2010, 1-16. 10.1007/s10460-010-9257-y.
92. Everingham Y., Baillie C., Inman-Bamber G., Baillie J. Forecasting water allocations for Bundaberg sugarcane farmers. Clim Res 2008, 36:231-239. 10.3354/cr00743.
93. Diarra D., Kangah P.D. Agriculture in Mali. Climate Risk Management in Africa: Learning from Practice 2007, 59-74. International Research Institute for Climate and Society (IRI), Columbia University, New York. M. Hellmuth, A. Moorhead, M.C. Thomson, J. Williams (Eds.).
94. Roncoli C. Ethnographic and participatory approaches to research on farmers' responses to climate predictions. Clim Res 2006, 33:81-99.
95. Broad K. Climate and society: the case of the Peruvian fisheries. Weather, climate, and water: handbook of atmospheric sciences, with related topics from Hydrology and Oceanography 1999, McGraw Hill, New York. T. Potter, B. Coleman (Eds.).
96. Broad K., Pfaff A.S., Glantz M. Effective and equitable dissemination of seasonal-to-interannual climate forecasts: policy implications from the peruvian fishery during El Nino 1997-98. Climatic Change 2002, 54:415-438.
97. Pfaff A.S., Broad K., Glantz M. Who benefits from climate forecasts. Nature 1999, 397:645-646.
98. Balmaseda M, Vidard A, Anderson D: The ECMWF System 3 ocean analysis system. ECMWF Technical Memo No. 508; 2006.
99. Balmaseda M., Anderson D., Vidard A. Impact of Argo on analyses of the global ocean. Geophys Res Lett 2007, 34:L16605.
100. Adler R.F., Huffman G.J., Chang A., Ferraro R., Xie P., Janowiak J., Rudolf B., Schneider U., Curtis S., Bolvin D., et al. The Version 2 Global Precipitation Climatology Project (GPCP) Monthly Precipitation Analysis (1979-Present). J Hydrometeor 2003, 4:1147-1167.
101. Robertson A.W., Kirshner S., Smyth P. Downscaling of daily rainfall occurrence over Northeast Brazil using a hidden Markov model. J Climate 2004, 17:4407-4424.
102. Challinor A.J., Slingo J.M., Wheeler T.R., Craufurd P.Q., Grimes D.I.F. Towards a combined seasonal weather and crop productivity forecasting system: determination of the working spatial scale. J Appl Meteorol 2003, 42:175-192.
103. Challinor A.J., Wheeler T.R., Craufurd P.Q., Slingo J.M., Grimes D.I.F. Design and optimisation of a large-scale process-based model for annual crops. Agric Forest Meteorol 2004, 124:99-192.
104. Osborne T.M., Lawrence D.M., Challinor A.J., Slingo J.M., Wheeler T.R. Development and assessment of a coupled crop-climate model. Global Change Biol 2007, 13:169-183.
105. Sanai L., Wheeler T.R., Challinor A.J. Development of a large area wheat crop model for studying climate change impacts in China. J Agric Sci 2007, 145:647.
106. Bergamaschi H., Costa S.M.S. Simulação do rendimento de milho pelo modelo Glam: III. Validação do modelo. Aracaju, Congr Brasil Agrometeor 2007, 15.
107. Costa S.M.S., Bergamaschi H. Simulação do rendimento de milho pelo modelo GLAM II. Ajuste do modelo. Aracaju, Congr Brasil Agrometeor 2007, 15.
108. Cash D. Distributed assessment systems: an emerging paradigm of research, assessment, and decision-making for environmental change. Global Environ Change 2000, 10:241-244.
109. Cash D., Buizer J. Knowledge-action Systems for Seasonal to Interannual Climate Forecasting: Summary of a Workshop 2005, National Academy of Sciences, Washington, DC.
110. Jagtap S.S., Jones J.W., Hildebrand P., Letson D., O'Brien J.J., Podesta G., Zierden D., Zazueta F. Responding to stakeholders' demand for climate information: from research to applications in Florida. Agric Syst 2002, 74:415-430.
111. Letson D., Podestá G., Messina C., Ferreyra A. The uncertain value of perfect ENSO phase forecasts: stochastic agricultural prices and intra-phase climatic variations. Climatic Change 2005, 69:163-196.
112. Patt A.G. Trust, respect, patience, and sea surface temperatures: useful climate forecasting in Zimbabwe. Global Environmental Assessments: Information and Influence 2006, 241-269. MIT Press, Cambridge. R. Mitchell, W. Clark, D. Cash, N. Dickson (Eds.).
113. Cash D., Borck J., Patt A.G. Countering the 'loading dock' approach to linking science and decision making: a comparative analysis of ENSO forecasting systems. Sci Technol Hum Values 2006, 31:465-494.
114. Orlove B, Tosteson J: The application of seasonal to interannual climate forecasts based on El Niño - Southern Oscillation (ENSO) events: lessons from Australia, Brazil, Ethiopia, Peru, and Zimbabwe, Working Papers in Environmental Policy, Institute of International Studies, University of California, Berkeley, Berkeley; 1999.
115. Patt A.G., Bowles H.R., Cash D. Mechanisms for enhancing the credibility of an advisor: prepayment and aligned incentives. J Behav Decis Making 2006, 19:347-359.
116. Ziervogel G: Global science, local problems: seasonal forecast use in a Basotho village, southern Africa, Open Meeting of the Human Dimensions of Global Environmental Change 2001, Rio de Janeiro, Brazil.
117. Climate Risk Management in Africa: Learning from Practice, Climate and Society Publication Series 2007, International Research Institute for Climate and Society (IRI), Columbia University, New York. M. Hellmuth, A. Moorhead, M.C. Thomson, J. Williams (Eds.).