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contributor authorMcNally, Amy
contributor authorHusak, Gregory J.
contributor authorBrown, Molly
contributor authorCarroll, Mark
contributor authorFunk, Chris
contributor authorYatheendradas, Soni
contributor authorArsenault, Kristi
contributor authorPeters-Lidard, Christa
contributor authorVerdin, James P.
date accessioned2017-06-09T17:15:55Z
date available2017-06-09T17:15:55Z
date copyright2015/02/01
date issued2015
identifier issn1525-755X
identifier otherams-82080.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4225154
description abstracthe Soil Moisture Active Passive (SMAP) mission will provide soil moisture data with unprecedented accuracy, resolution, and coverage, enabling models to better track agricultural drought and estimate yields. In turn, this information can be used to shape policy related to food and water from commodity markets to humanitarian relief efforts. New data alone, however, do not translate to improvements in drought and yield forecasts. New tools will be needed to transform SMAP data into agriculturally meaningful products. The objective of this study is to evaluate the possibility and efficiency of replacing the rainfall-derived soil moisture component of a crop water stress index with SMAP data. The approach is demonstrated with 0.1°-resolution, ~10-day microwave soil moisture from the European Space Agency and simulated soil moisture from the Famine Early Warning Systems Network Land Data Assimilation System. Over a West Africa domain, the approach is evaluated by comparing the different soil moisture estimates and their resulting Water Requirement Satisfaction Index values from 2000 to 2010. This study highlights how the ensemble of indices performs during wet versus dry years, over different land-cover types, and the correlation with national-level millet yields. The new approach is a feasible and useful way to quantitatively assess how satellite-derived rainfall and soil moisture track agricultural water deficits. Given the importance of soil moisture in many applications, ranging from agriculture to public health to fire, this study should inspire other modeling communities to reformulate existing tools to take advantage of SMAP data.
publisherAmerican Meteorological Society
titleCalculating Crop Water Requirement Satisfaction in the West Africa Sahel with Remotely Sensed Soil Moisture
typeJournal Paper
journal volume16
journal issue1
journal titleJournal of Hydrometeorology
identifier doi10.1175/JHM-D-14-0049.1
journal fristpage295
journal lastpage305
treeJournal of Hydrometeorology:;2015:;Volume( 016 ):;issue: 001
contenttypeFulltext


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