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

تقييم والتحقق من رطوبة التربة TAMSAT -ALERT و WRSI لاستخدامها في العمل الاستباقي للجفاف
Authors: Victoria L. Boult; Dagmawi Asfaw; Matthew Young; Ross Maidment; Emmah Mwangi; Maurine Ambani; Shamton Waruru; +3 Authors

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

Abstract

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.

Keywords

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

  • BIP!
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    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    24
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
24
Top 10%
Top 10%
Top 10%
Green
gold
Published in a Diamond OA journal