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 probabilist...
Hansen, James
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Mason S
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Sun L
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Tall, Arame
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[Review of seasonal climate forecasting for agriculture in sub- Saharan Africa]
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Review of seasonal climate forecasting for agriculture in sub- Saharan Africa
To improve the prediction of crop yields at an aggregate scale, we developed a data assimilation-crop modeling framework that incorporates remotely sensed soil moisture and leaf area index (LAI) into a crop model using sequential data assimilation. The core of the framework is an Ensemble Kalman ...
Ines, Amor V. M.
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Das, NN
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Hansen, James
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Njoku, EG
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[Assimilation of remotely sensed soil moisture and vegetation with a crop simulation model for maize yield prediction]
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Assimilation of remotely sensed soil moisture and vegetation with a crop simulation model for maize yield prediction
Growing awareness of how development outcomes are dependent on our variable and changing climate is focusing increasing attention on the role of climate information in agricultural development. Much of this attention is driven by the growing acceptance that human activity is altering the Earth’s ...