Developing an improved soil moisture dataset by blending passive and active microwave satellite-based retrievals
Yi Y. Liu,Yi Y. Liu,Yi Y. Liu,Robert Parinussa,Wouter Dorigo,R.A.M. de Jeu,Wolfgang Wagner,A. I. J. M. van Dijk,Matthew F. McCabe,Jason P. Evans +9 more
Reads0
Chats0
TLDR
In this article, the retrieval characteristics of passive (AMSR-E) and active (ASCAT) microwave satellite estimates are combined to produce an improved soil moisture product. But the results of the satellite-based passive and active microwave sensors have the potential to offer improved estimates of surface soil moisture at global scale.Abstract:
. Combining information derived from satellite-based passive and active microwave sensors has the potential to offer improved estimates of surface soil moisture at global scale. We develop and evaluate a methodology that takes advantage of the retrieval characteristics of passive (AMSR-E) and active (ASCAT) microwave satellite estimates to produce an improved soil moisture product. First, volumetric soil water content (m3 m−3) from AMSR-E and degree of saturation (%) from ASCAT are rescaled against a reference land surface model data set using a cumulative distribution function matching approach. While this imposes any bias of the reference on the rescaled satellite products, it adjusts them to the same range and preserves the dynamics of original satellite-based products. Comparison with in situ measurements demonstrates that where the correlation coefficient between rescaled AMSR-E and ASCAT is greater than 0.65 ("transitional regions"), merging the different satellite products increases the number of observations while minimally changing the accuracy of soil moisture retrievals. These transitional regions also delineate the boundary between sparsely and moderately vegetated regions where rescaled AMSR-E and ASCAT, respectively, are used for the merged product. Therefore the merged product carries the advantages of better spatial coverage overall and increased number of observations, particularly for the transitional regions. The combination method developed has the potential to be applied to existing microwave satellites as well as to new missions. Accordingly, a long-term global soil moisture dataset can be developed and extended, enhancing basic understanding of the role of soil moisture in the water, energy and carbon cycles.read more
Citations
More filters
Journal ArticleDOI
Calculating Crop Water Requirement Satisfaction in the West Africa Sahel with Remotely Sensed Soil Moisture
Amy McNally,Gregory Husak,Molly E. Brown,Mark L. Carroll,Chris Funk,Soni Yatheendradas,Kristi R. Arsenault,Christa D. Peters-Lidard,James P. Verdin +8 more
TL;DR: In this article, the authors evaluate the possibility and efficiency of replacing the rainfall-derived soil moisture component of a crop water stress index with SMAP data and compare the approach with simulated soil moisture from the Famine Early Warning Systems Network Land Data Assimilation System.
Journal ArticleDOI
Flood risk under future climate in data sparse regions: Linking extreme value models and flood generating processes
TL;DR: In this article, the authors present an approach to estimate possible changes in flood risks, which incorporates flood generating processes into statistical models for extreme values, for a West African catchment, the Mono River (12,900 km 2 ).
Journal ArticleDOI
Soil moisture retrieval from AMSR-E and ASCAT microwave observation synergy. Part 2: Product evaluation
TL;DR: In this article, a neural network (NN) soil moisture retrieval product computed from the synergy of AMSR-E brightness temperature and ASCAT backscatter observations is evaluated against in situ soil moisture observations from the International Soil Moisture Network (ISMN).
Journal ArticleDOI
A regional scale performance evaluation of SMOS and ESA-CCI soil moisture products over India with simulated soil moisture from MERRA-Land
TL;DR: In this article, three multi-decadal satellite soil moisture (SM) products, obtained by merging two active and six passive, all-active-merged (CCI-ACT), all-passive-mergence ( CCI-PAS), and Level-3 SM retrieved from Soil Moisture Ocean Salinity (SMOS) mission were evaluated over India.
Journal ArticleDOI
Suitability of modelled and remotely sensed essential climate variables for monitoring Euro-Mediterranean droughts
Camille Szczypta,Jean-Christophe Calvet,Fabienne Maignan,Wouter Dorigo,Frédéric Baret,Philippe Ciais +5 more
TL;DR: In this paper, the authors compared two remotely sensed leaf area index (LAI) and surface soil moisture (SSM) satellite-derived products with two sets of simulations of the ORGANizing Carbon and Hydrology In Dynamic EcosystEms (ORCHIDEE) and Interactions between Soil, Biosphere and Atmosphere, CO2-reactive (ISBA-A-gs) land surface models.
References
More filters
Journal ArticleDOI
The Global Land Data Assimilation System
Mathew Rodell,Paul R. Houser,U. Jambor,Jon Gottschalck,Kenneth E. Mitchell,C. J. Meng,Kristi R. Arsenault,B. Cosgrove,J Radakovich,Michael G. Bosilovich,Jared Entin,Jeffrey P. Walker,Dag Lohmann,David Toll +13 more
TL;DR: The Global Land Data Assimilation System (GLDAS) as mentioned in this paper is an uncoupled land surface modeling system that drives multiple models, integrates a huge quantity of observation-based data, runs globally at high resolution (0.25°), and produces results in near-real time (typically within 48 h of the present).
Journal ArticleDOI
Regions of Strong Coupling Between Soil Moisture and Precipitation
Randal D. Koster,Paul A. Dirmeyer,Zhichang Guo,Gordon B. Bonan,Edmond Chan,Peter M. Cox,C. T. Gordon,Shinjiro Kanae,Eva Kowalczyk,David M. Lawrence,Ping Liu,Cheng-Hsuan Lu,Sergey Malyshev,Bryant J. McAvaney,Kenneth E. Mitchell,David Mocko,Taikan Oki,Keith W. Oleson,Andrew J. Pitman,Yogesh C. Sud,Christopher M. Taylor,Diana Verseghy,R. Vasic,Yongkang Xue,Tomohito J. Yamada +24 more
TL;DR: A multimodel estimation of the regions on Earth where precipitation is affected by soil moisture anomalies during Northern Hemisphere summer indicates potential benefits of this estimation may include improved seasonal rainfall forecasts.
Journal ArticleDOI
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
TL;DR: 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.
Journal ArticleDOI
Soil moisture retrieval from AMSR-E
TL;DR: The AMSR-E sensor calibration and extent of radio frequency interference are currently being assessed, to be followed by quantitative assessments of the soil moisture retrievals, which will provide evaluations of the retrieved soil moisture and enable improved hydrologic applications of the data.
Journal ArticleDOI
The Common Land Model
Yongjiu Dai,Xubin Zeng,Robert E. Dickinson,Ian Baker,Gordon B. Bonan,Michael G. Bosilovich,A. Scott Denning,Paul A. Dirmeyer,Paul R. Houser,Guo Yue Niu,Keith W. Oleson,C. Adam Schlosser,Zong-Liang Yang +12 more
TL;DR: The Common Land Model (CLM) as mentioned in this paper was developed for community use by a grassroots collaboration of scientists who have an interest in making a general land model available for public use and further development.
Related Papers (5)
Multisensor historical climatology of satellite-derived global land surface moisture
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