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
Managing agricultural drought in Sweden using a novel spatially-explicit model from the perspective of water-food-energy nexus
Pietro Elia Campana,Pietro Elia Campana,Jun Zhang,Tian Yao,Sandra Andersson,Tomas Landelius,Forrest Melton,Forrest Melton,Jinyue Yan,Jinyue Yan +9 more
TL;DR: In this paper, a spatially-explicit model from the perspective of water-food-energy nexus is proposed to manage agricultural drought in Sweden using a novel spatiallyexplicit approach.
Journal ArticleDOI
L-Band Relative Permittivity of Organic Soil Surface Layers—A New Dataset of Resonant Cavity Measurements and Model Evaluation
Simone Bircher,François Demontoux,Stephen Razafindratsima,Elena Zakharova,Matthias Drusch,Jean-Pierre Wigneron,Yann Kerr +6 more
TL;DR: This study improves still insufficient understanding of L-band emission of organic substrates in prospect of enhancing soil moisture estimations in the high latitudes undergoing most rapid climatic changes by fitting a simple empirical model to the data obtained from all collected organic samples.
Journal ArticleDOI
Validation of SMAP soil moisture for the SMAPVEX15 field campaign using a hyper-resolution model
Xitian Cai,Ming Pan,Nathaniel W. Chaney,Andreas Colliander,Sidharth Misra,Michael H. Cosh,Wade T. Crow,Thomas J. Jackson,Eric F. Wood +8 more
TL;DR: In this article, a hyper-resolution land surface model is used to upscale in situ soil moisture measurements for the SMAPVEX15 (SMAP Validation Experiment 2015) field campaign during 2-18 August 2015.
Journal ArticleDOI
Comparing the Normalized Difference Infrared Index (NDII) with root zone storage in a lumped conceptual model
Nutchanart Sriwongsitanon,Hongkai Gao,Hubert H. G. Savenije,Ekkarin Maekan,Sirikanya Saengsawang,Sansarith Thianpopirug +5 more
TL;DR: In this article, the authors used the NDII as a proxy for moisture deficit and hence for the amount of moisture stored in the root zone of vegetation, which is a crucial component of hydrological models.
Journal ArticleDOI
Multivariate data assimilation of GRACE, SMOS, SMAP measurements for improved regional soil moisture and groundwater storage estimates
Natthachet Tangdamrongsub,Natthachet Tangdamrongsub,Shin-Chan Han,In-Young Yeo,Jianzhi Dong,Susan C. Steele-Dunne,Garry Willgoose,Jeffrey P. Walker +7 more
TL;DR: In this article, the authors evaluated the benefit of assimilating remote sensing data into the Community Atmosphere and Biosphere Land Exchange (CABLE) land surface model and found that the added value of multivariate data assimilation for simultaneously improving different model states, thus leading to a more robust DA system.
References
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Journal ArticleDOI
The SMOS Mission: New Tool for Monitoring Key Elements ofthe Global Water Cycle
Yann Kerr,Philippe Waldteufel,Jean-Pierre Wigneron,Steven Delwart,Francois Cabot,Jacqueline Boutin,Maria-José Escorihuela,Jordi Font,Nicolas Reul,C. Gruhier,S. Juglea,Mark R. Drinkwater,Achim Hahne,Manuel Martin-Neira,Susanne Mecklenburg +14 more
TL;DR: The SMOS satellite was launched successfully on November 2, 2009, and will achieve an unprecedented maximum spatial resolution of 50 km at L-band over land (43 km on average over the field of view), providing multiangular dual polarized (or fully polarized) brightness temperatures over the globe.
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TL;DR: An empirical algorithm for the retrieval of soil moisture content and surface root mean square (RMS) height from remotely sensed radar data was developed using scatterometer data and inversion results indicate that significant amounts of vegetation cause the algorithm to underestimate soil moisture and overestimate RMS height.
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