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How Satellite Soil Moisture Data Can Help to Monitor the Impacts of Climate Change: SMAP Case StudiesSocially and economically costly extreme weather events have become more prevalent in the last decade. Monitoring and early warning systems could help mitigate the impact of such events by allowing people to better prepare themselves to manage their responses to these events. One significant element of an effective warning system is soil moisture because it is a key determinant of the exchange of water and heat energy between the land and atmosphere, the partitioning of precipitation between infiltration and runoff, and therefore has an influence on weather patterns and streamflow. In addition, soil moisture governs plant water availability – the key to crop yield forecasting. For these reasons, a wide range of organizations use soil moisture information to better predict and monitor climate and weather phenomena such as floods and droughts. By improving soil moisture estimates, it may be possible to improve the monitoring and early warning systems upon which these organizations rely, and hence better mitigate the impacts of extreme weather events. Through case studies, this article discusses several uses of soil moisture data products from NASA’s Soil Moisture Active Passive (SMAP) mission to help improve soil moisture-related monitoring and early warning systems.
Document ID
20200001970
Acquisition Source
Goddard Space Flight Center
Document Type
Accepted Manuscript (Version with final changes)
Authors
Chalita Forgotson ORCID
(Science Systems and Applications (United States) Lanham, Maryland, United States)
Peggy E O'Neill ORCID
(Goddard Space Flight Center Greenbelt, Maryland, United States)
Marco L Carrera
(Environment and Climate Change Canada (ECCC) Canada)
Stéphane Bélair ORCID
(Environment and Climate Change Canada (ECCC) Dorval, Quebec, Canada)
Narendra N Das
(Jet Propulsion Lab La Cañada Flintridge, California, United States)
Iliana E Mladenova ORCID
(University of Maryland, College Park College Park, Maryland, United States)
John D Bolten
(Goddard Space Flight Center Greenbelt, Maryland, United States)
Jennifer M Jacobs ORCID
(University of New Hampshire Durham, New Hampshire, United States)
Eunsang Cho ORCID
(University of New Hampshire Durham, New Hampshire, United States)
Vanessa M Escobar
(Science Systems and Applications (United States) Lanham, Maryland, United States)
Date Acquired
March 26, 2020
Publication Date
April 13, 2020
Publication Information
Publication: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Publisher: Institute of Electrical and Electronics Engineers
Volume: 13
Issue Publication Date: January 1, 2020
ISSN: 1939-1404
e-ISSN: 2151-1535
URL: https://ieeexplore.ieee.org/document/9064534
Subject Category
Earth Resources And Remote Sensing
Report/Patent Number
GSFC-E-DAA-TN79124
Report Number: GSFC-E-DAA-TN79124
ISSN: 1939-1404
Funding Number(s)
PROJECT: SCMD-EarthScienceSystem_372217
Distribution Limits
Public
Copyright
Public Use Permitted.
Technical Review
External Peer Committee
Keywords
Drought monitoring
Snowmelt flood prediction
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