Review of seasonal climate forecasting for agriculture in sub-Saharan Africa
We review the use and value of seasonal climate forecasting for agriculture in sub-SaharanAfrica (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 f...
| Autores principales: | , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Cambridge University Press
2011
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| Acceso en línea: | https://hdl.handle.net/10568/7028 |
| _version_ | 1855528073760342016 |
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| author | Hansen, James Mason SJ Sun L Tall, Arame |
| author_browse | Hansen, James Mason SJ Sun L Tall, Arame |
| author_facet | Hansen, James Mason SJ Sun L Tall, Arame |
| author_sort | Hansen, James |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | We review the use and value of seasonal climate forecasting for agriculture in sub-SaharanAfrica (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, modelbased 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 agriculturalmanagement 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 |
| format | Journal Article |
| id | CGSpace7028 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2011 |
| publishDateRange | 2011 |
| publishDateSort | 2011 |
| publisher | Cambridge University Press |
| publisherStr | Cambridge University Press |
| record_format | dspace |
| spelling | CGSpace70282025-06-13T04:20:15Z Review of seasonal climate forecasting for agriculture in sub-Saharan Africa Hansen, James Mason SJ Sun L Tall, Arame agriculture climate forecasting We review the use and value of seasonal climate forecasting for agriculture in sub-SaharanAfrica (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, modelbased 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 agriculturalmanagement 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 2011-04 2011-09-12T11:35:50Z 2011-09-12T11:35:50Z Journal Article https://hdl.handle.net/10568/7028 en Open Access Cambridge University Press Hansen, J. W., Mason, S. J., Sun, L., & Tall, A. (2011). Review Of Seasonal Climate Forecasting For Agriculture In sub-Saharan Africa. In Experimental Agriculture (vol. 47, Issue 2, Pp. 205–240). Cambridge University Press (cup). Https://doi.Org/10.1017/s0014479710000876 |
| spellingShingle | agriculture climate forecasting Hansen, James Mason SJ Sun L Tall, Arame Review of seasonal climate forecasting for agriculture in sub-Saharan Africa |
| title | Review of seasonal climate forecasting for agriculture in sub-Saharan Africa |
| title_full | Review of seasonal climate forecasting for agriculture in sub-Saharan Africa |
| title_fullStr | Review of seasonal climate forecasting for agriculture in sub-Saharan Africa |
| title_full_unstemmed | Review of seasonal climate forecasting for agriculture in sub-Saharan Africa |
| title_short | Review of seasonal climate forecasting for agriculture in sub-Saharan Africa |
| title_sort | review of seasonal climate forecasting for agriculture in sub saharan africa |
| topic | agriculture climate forecasting |
| url | https://hdl.handle.net/10568/7028 |
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