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Evaluation and validation of TAMSAT‐ALERT soil moisture and WRSI for use in drought anticipatory action

Evaluation and validation of TAMSAT‐ALERT soil moisture and WRSI for use in drought anticipatory action
AbstractReliable information on the likelihood of drought is of crucial importance in agricultural planning and humanitarian decision‐making. Acting based upon probabilistic forecasts of drought, rather than responding to prevailing drought conditions, has the potential to save lives, livelihoods and resources, but is accompanied by the risk of acting in vain. The suitability of a novel forecasting tool is assessed in the present paper in terms of its ability to provide skilful information of the likelihood of drought impacts on crops and pasture within a timeframe that allows for anticipatory action. The Tropical Applications of Meteorology using SATellite data—AgriculturaL Early waRning sysTem (TAMSAT‐ALERT) tool provides forecasts of seasonal mean soil moisture and the water requirement satisfaction index (WRSI). TAMSAT‐ALERT metrics were found to be strongly correlated with pasture availability and maize yield in Kenya and provided skilful forecasts early in key seasons, allowing sufficient time for preparatory actions. Incorporating TAMSAT‐ALERT forecasts in a layered approach, with actions triggered by spatiotemporally varying triggers and fundamentally informed by humanitarian actors, will provide reliable information on the likelihood of drought, ultimately mitigating food insecurity.
- IGAD Climate Prediction and Applications Center Kenya
- IGAD Climate Prediction and Applications Center Kenya
- University of Sussex United Kingdom
- University of Reading United Kingdom
- National Centre for Atmospheric Science United Kingdom
Artificial intelligence, Adaptation to Climate Change in Agriculture, Action (physics), Climate Change and Variability Research, Quantum mechanics, Environmental science, Agricultural and Biological Sciences, Livelihood, Pasture, Environmental resource management, Ecology, Evolution, Behavior and Systematics, Probabilistic logic, Global and Planetary Change, Geography, Physics, Warning system, Life Sciences, Agriculture, Forestry, Computer science, Archaeology, Environmental Science, Physical Sciences, Global Drought Monitoring and Assessment, Telecommunications, Climate Modeling
Artificial intelligence, Adaptation to Climate Change in Agriculture, Action (physics), Climate Change and Variability Research, Quantum mechanics, Environmental science, Agricultural and Biological Sciences, Livelihood, Pasture, Environmental resource management, Ecology, Evolution, Behavior and Systematics, Probabilistic logic, Global and Planetary Change, Geography, Physics, Warning system, Life Sciences, Agriculture, Forestry, Computer science, Archaeology, Environmental Science, Physical Sciences, Global Drought Monitoring and Assessment, Telecommunications, Climate Modeling
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