The Soil Moisture Active Passive (SMAP) Mission
Dara Entekhabi,Eni G. Njoku,Peggy O'Neill,Kent Kellogg,Wade T. Crow,W. Edelstein,Jared Entin,Shawn D Goodman,Thomas J. Jackson,Joel T. Johnson,John S. Kimball,Jeffrey R. Piepmeier,Randal D. Koster,Neil R.W. Martin,Kyle C. McDonald,Mahta Moghaddam,Susan Moran,Rolf H. Reichle,Jiancheng Shi,Michael W. Spencer,Samuel W Thurman,Leung Tsang,Jakob van Zyl +22 more
- Vol. 98, Iss: 5, pp 704-716
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The Soil Moisture Active Passive mission is one of the first Earth observation satellites being developed by NASA in response to the National Research Council's Decadal Survey to make global measurements of the soil moisture present at the Earth's land surface.Abstract:
The Soil Moisture Active Passive (SMAP) mission is one of the first Earth observation satellites being developed by NASA in response to the National Research Council's Decadal Survey SMAP will make global measurements of the soil moisture present at the Earth's land surface and will distinguish frozen from thawed land surfaces Direct observations of soil moisture and freeze/thaw state from space will allow significantly improved estimates of water, energy, and carbon transfers between the land and the atmosphere The accuracy of numerical models of the atmosphere used in weather prediction and climate projections are critically dependent on the correct characterization of these transfers Soil moisture measurements are also directly applicable to flood assessment and drought monitoring SMAP observations can help monitor these natural hazards, resulting in potentially great economic and social benefits SMAP observations of soil moisture and freeze/thaw timing will also reduce a major uncertainty in quantifying the global carbon balance by helping to resolve an apparent missing carbon sink on land over the boreal latitudes The SMAP mission concept will utilize L-band radar and radiometer instruments sharing a rotating 6-m mesh reflector antenna to provide high-resolution and high-accuracy global maps of soil moisture and freeze/thaw state every two to three days In addition, the SMAP project will use these observations with advanced modeling and data assimilation to provide deeper root-zone soil moisture and net ecosystem exchange of carbon SMAP is scheduled for launch in the 2014-2015 time frameread more
Citations
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Journal ArticleDOI
Validation of Advanced Microwave Scanning Radiometer Soil Moisture Products
Thomas J. Jackson,Michael H. Cosh,Rajat Bindlish,Patrick J. Starks,David D. Bosch,Mark S. Seyfried,David C. Goodrich,M.S. Moran,Jinyang Du +8 more
TL;DR: Four soil moisture networks were developed and used as part of the Advanced Microwave Scanning Radiometer-Earth Observing System (AMSR-E) validation program, and it is shown that there is much room for improvement in the algorithms currently in use by JAXA and NASA.
Journal ArticleDOI
The Global Precipitation Measurement (GPM) Mission for Science and Society
Gail Skofronick-Jackson,Walter A. Petersen,Wesley Berg,Chris Kidd,Erich Franz Stocker,Dalia Kirschbaum,Ramesh K. Kakar,Scott A. Braun,George J. Huffman,Toshio Iguchi,Pierre Kirstetter,Christian D. Kummerow,Robert Meneghini,Riko Oki,William S. Olson,Yukari N. Takayabu,Kinji Furukawa,Thomas T. Wilheit +17 more
TL;DR: The GPM mission collects essential rain and snow data for scientific studies and societal benefit and aims to provide real-time information about rainfall and snowfall to improve understanding of climate change.
Journal ArticleDOI
Soil moisture estimation through ASCAT and AMSR-E sensors: An intercomparison and validation study across Europe
Luca Brocca,S. Hasenauer,Teodosio Lacava,Florisa Melone,Tommaso Moramarco,Wolfgang Wagner,Wouter Dorigo,Patrick Matgen,José Martínez-Fernández,Pilar Llorens,Jérôme Latron,C. Martin,Marco Bittelli +12 more
TL;DR: In this article, a comprehensive assessment of the reliability of soil moisture estimations from the Advanced SCATterometer (ASCAT) and AMSR-E sensors is carried out by using observed and modelled soil moisture data over 17 sites located in 4 countries across Europe (Italy, Spain, France and Luxembourg).
Journal ArticleDOI
A Transdisciplinary Review of Deep Learning Research and Its Relevance for Water Resources Scientists
TL;DR: It is argued that DL can help address several major new and old challenges facing research in water sciences such as interdisciplinarity, data discoverability, hydrologic scaling, equifinality, and needs for parameter regionalization.
Journal ArticleDOI
The future of evapotranspiration: global requirements for ecosystem functioning, carbon and climate feedbacks, agricultural management, and water resources.
Joshua B. Fisher,Forrest Melton,Elizabeth M. Middleton,Christopher Hain,Christopher Hain,Martha C. Anderson,Richard G. Allen,Matthew F. McCabe,Simon J. Hook,Dennis D. Baldocchi,Philip A. Townsend,Ayse Kilic,Kevin P. Tu,Diego G. Miralles,Johan Perret,Jean-Pierre Lagouarde,Duane E. Waliser,A. J. Purdy,Andrew N. French,David S. Schimel,James S. Famiglietti,Graeme L. Stephens,Eric F. Wood +22 more
TL;DR: In this article, the authors describe how evapotranspiration represents the key variable in linking ecosystem functioning, carbon and climate feedbacks, agricultural management, and water resources, and highlight both the outstanding science and applications questions and the actions, especially from a space-based perspective, necessary to advance them.
References
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