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
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Journal ArticleDOI
The Salinity Retrieval Algorithms for the NASA Aquarius Version 5 and SMAP Version 3 Releases
TL;DR: The corrections for wind induced surface roughness, atmospheric oxygen absorption, reflected galactic radiation and side-lobe intrusion from land surfaces are discussed, and the Aquarius Version 5 salinity retrieval algorithm is adapted to retrieve salinity from the Soil-Moisture Active Passion mission.
Journal ArticleDOI
Current and emerging developments in subseasonal to decadal prediction
William J. Merryfield,Johanna Baehr,Lauriane Batté,Emily Becker,Amy H. Butler,Caio A. S. Coelho,Gokhan Danabasoglu,Paul A. Dirmeyer,Francisco J. Doblas-Reyes,Daniela I. V. Domeisen,Laura Ferranti,Tatiana Ilynia,Arun Kumar,Wolfgang A. Müller,Michel Rixen,Andrew W. Robertson,Doug Smith,Yuhei Takaya,Matthias Tuma,Frederic Vitart,Christopher J. White,Mariano Sebastián Alvarez,Constantin Ardilouze,Hannah Attard,Cory Baggett,Magdalena Balmaseda,Asmerom F Beraki,Partha S. Bhattacharjee,Roberto Bilbao,Felipe M. de Andrade,Michael J. DeFlorio,Leandro B. Díaz,Muhammad Azhar Ehsan,Georgios Fragkoulidis,Sam Grainger,Benjamin W. Green,Momme C. Hell,Johnna M. Infanti,Katharina Isensee,Takahito Kataoka,Ben P. Kirtman,Nicholas P. Klingaman,June-Yi Lee,Kirsten Mayer,Roseanna C. McKay,Jennifer Mecking,Douglas E. Miller,Nele Neddermann,Ching Ho Justin Ng,Albert Ossó,Klaus Pankatz,Simon C. Peatman,Kathy Pegion,Judith Perlwitz,G. Cristina Recalde-Coronel,Annika Reintges,Christoph Renkl,Balakrishnan Solaraju-Murali,Aaron Spring,Cristiana Stan,Y. Qiang Sun,Carly R. Tozer,Nicolas Vigaud,Steven J. Woolnough,Stephen Yeager +64 more
TL;DR: In this article, the authors surveyed the state of S2S and S2D prediction, ongoing research, and future needs, providing an ideal basis for synthesizing current and emerging developments in these areas that promise to enhance future operational services.
Journal ArticleDOI
Prolongation of SMAP to Spatio-temporally Seamless Coverage of Continental US Using a Deep Learning Neural Network
TL;DR: As the first application of LSTM in hydrology, it is shown the proposed network avoids overfitting and is robust for both temporal and spatial extrapolation tests, and shows great potential for hindcasting, data assimilation, and weather forecasting.
Journal ArticleDOI
Monitoring flood extent in the lower Amazon River floodplain using ALOS/PALSAR ScanSAR images
Allan S. Arnesen,Thiago Sanna Freire Silva,Laura L. Hess,Evlyn Márcia Leão de Moraes Novo,Conrado M. Rudorff,Bruce Chapman,Kyle C. McDonald,Kyle C. McDonald +7 more
TL;DR: In this paper, a method for monitoring flood extent variation using ALOS ScanSAR images, tested at the Curuai Lake floodplain, in the lower Amazon River, Brazil, was presented.
Journal ArticleDOI
The Sensitivity of North American Terrestrial Carbon Fluxes to Spatial and Temporal Variation in Soil Moisture: An Analysis Using Radar‐Derived Estimates of Root Zone Soil Moisture
Ke Zhang,Ashehad A. Ali,A. S. Antonarakis,Mahta Moghaddam,Sassan Saatchi,Alireza Tabatabaeenejad,Richard H. Chen,Sermsak Jaruwatanadilok,Richard H. Cuenca,Wade T. Crow,Paul R. Moorcroft +10 more
TL;DR: In this paper, the authors examined the impact of variation in Root Zone Soil Moisture (RZSM), a key component of the Earth's hydrologic cycle and climate system on regional carbon fluxes across seven North American ecosystems.
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