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Global-scale comparison of passive (SMOS) and active (ASCAT) satellite based microwave soil moisture retrievals with soil moisture simulations (MERRA-Land)

A. Al-Yaari, J.-P. Wigneron, A. Ducharne, Y.H. Kerr, W. Wagner, G. De Lannoy, R. Reichle, A. Al Bitar, W. Dorigo, P. Richaume, A. Mialon
2014 Remote Sensing of Environment  
natural variability of soil moisture in these areas, and Central America, and (ii) highest errors over most of the vegetated regions (e.g., northern Australia, India, central Asia, and South America).  ...  This study investigates the consistency of two global satellite-based SSM datasets based on microwave remote sensing observations from the passive Soil Moisture and Ocean Salinity (SMOS; SMOSL3 version  ...  Gabrielle De Lannoy and Rolf Reichle were supported by the NASA Soil Moisture Active Passive mission.  ... 
doi:10.1016/j.rse.2014.07.013 fatcat:ilbzscb55rbrzplznwvbubefdy

A New Retrieval Algorithm for Soil Moisture Index from Thermal Infrared Sensor On-Board Geostationary Satellites over Europe and Africa and Its Validation

Nicolas Ghilain, Alirio Arboleda, Okke Batelaan, Jonas Ardö, Isabel Trigo, Jose-Miguel Barrios, Francoise Gellens-Meulenberghs
2019 Remote Sensing  
Soil moisture has been retrieved from the retrieval algorithm for an eight years period over Europe and Africa at the SEVIRI sensor spatial resolution (3 km at the sub-satellite point).  ...  , and a progressive degradation of the accuracy towards northern latitudes of Europe.  ...  A dataset of eight years (from 2007 to 2014) has been generated over Europe and Africa at the MSG/SEVIRI variable resolution, being 3 km over equatorial Africa, and around 5 km over northern Europe.  ... 
doi:10.3390/rs11171968 fatcat:nwqz7qcbjrfpvn2jmj2rvvwtna

Spatial distribution and possible sources of SMOS errors at the global scale

Delphine J. Leroux, Yann H. Kerr, Philippe Richaume, Remy Fieuzal
2013 Remote Sensing of Environment  
Acknowledgments 758 The authors would like to thank the French CNES/TOSCA program 759 and Telespazio France for their funding and support.  ...  However, the role of the soil texture is not 747 clear according to the results of this study since it has a positive influ-748 ence over America or Europe and a negative influence over Africa, 749 Asia  ...  Finally, a reprocessing of 739 SMOS brightness temperatures is underway and should lead to im-740 proved soil moisture retrievals. 741 From the results of this study, several hints for future improve-742  ... 
doi:10.1016/j.rse.2013.02.017 fatcat:3m3cmmyjyzhhpdkrwomqrti6zm

Precipitation estimation using L-band and C-band soil moisture retrievals

Randal D. Koster, Luca Brocca, Wade T. Crow, Mariko S. Burgin, Gabrielle J. M. De Lannoy
2016 Water Resources Research  
and Ocean Salinity (SMOS) satellite missions and to a C-band product from the Advanced Scatterometer (ASCAT) mission.  ...  An established methodology for estimating precipitation amounts from satellite-based soil moisture retrievals is applied to L-band products from the Soil Moisture Active Passive (SMAP) and Soil Moisture  ...  , (b) SMOS-A, (c) SMOS-D, and (d) ASCAT soil moisture retrievals.  ... 
doi:10.1002/2016wr019024 pmid:29983456 pmcid:PMC6031929 fatcat:oua6ief5vrg4hnxrg526oqi47i

Assimilation of satellite soil moisture for improved atmospheric reanalyses

Clara Draper, Rolf H. Reichle
2019 Monthly Weather Review  
For example, in a large region spanning from western Europe across southern Russia, the soil moisture assimilation decreased the RMSE against independent station observations of daily maximum 2-m temperature  ...  Specifically, Advanced Scatterometer and Soil Moisture Ocean Salinity soil moisture retrievals are assimilated into a system that uses the same model, atmospheric assimilation system, and atmospheric observations  ...  This work was supported by the NASA Terrestrial Hydrology program (NNX15AB52G), and the NASA Modeling, Analysis and Prediction program. Computational resources were provided by the  ... 
doi:10.1175/mwr-d-18-0393.1 fatcat:szigeonfmvgqdkrz43ki7jbqzu

The ASCAT Soil Moisture Product: A Review of its Specifications, Validation Results, and Emerging Applications

Wolfgang Wagner, Sebastian Hahn, Richard Kidd, Thomas Melzer, Zoltan Bartalis, Stefan Hasenauer, Julia Figa-Saldaña, Patricia de Rosnay, Alexander Jann, Stefan Schneider, Jürgen Komma, Gerhard Kubu (+10 others)
2013 Meteorologische Zeitschrift  
ASCAT was designed to observe wind speed and direction over the oceans and was initially not foreseen for monitoring soil moisture over land.  ...  A review of the most recent validation studies shows that the quality of ASCAT soil moisture product is -with the exception of arid environments -comparable to, and over some regions (e.g.  ...  Acknowledgments We gratefully acknowledge the support of the Austrian Space Applications Programme (ASAP) through the pro-  ... 
doi:10.1127/0941-2948/2013/0399 fatcat:7okcemnl6bampneiha2rk4w3am

Soil moisture retrieval from AMSR-E and ASCAT microwave observation synergy. Part 2: Product evaluation

J. Kolassa, P. Gentine, C. Prigent, F. Aires, S.H. Alemohammad
2017 Remote Sensing of Environment  
A B S T R A C T 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  ...  The skill of the NN retrieval is compared to that of the ESA-CCI soil moisture retrieval as well as modeled soil moisture fields from ERA-interim/land.  ...  Acknowledgments The authors would like to acknowledge funding from NASA-ROSES grant NNX15AB30G entitled Development of a Neural Network Scheme for SMAP Retrieval of Soil Moisture at the Global Scale and  ... 
doi:10.1016/j.rse.2017.04.020 fatcat:7zesyl4mubbrxbvbrqrmkgug3e

Evaluating Consistency between the Remotely Sensed Soil Moisture and the Hydrological Model-Simulated Soil Moisture in the Qujiang Catchment of China

Lihua Xiong, Han Yang, Ling Zeng, Chong-Yu Xu
2018 Water  
In this study, two types of high spatial-resolution remotely sensed values, namely the surface soil moisture (SSM) and the profile soil water index (SWI), are estimated from each of the ASCAT-A, ASCAT-B  ...  Accurate soil moisture estimation plays a crucial role in agricultural management and hydrological studies.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/w10030291 fatcat:e6w237npurhnpnq5lcj5la45be

SMOS-IC: An Alternative SMOS Soil Moisture and Vegetation Optical Depth Product

Roberto Fernandez-Moran, Amen Al-Yaari, Arnaud Mialon, Ali Mahmoodi, Ahmad Al Bitar, Gabrielle De Lannoy, Nemesio Rodriguez-Fernandez, Ernesto Lopez-Baeza, Yann Kerr, Jean-Pierre Wigneron
2017 Remote Sensing  
Acknowledgments: The authors would like to thank the TOSCA (Terre Océan Surfaces Continentales et  ...  InFigure 1, Figure 1 . 1 Temporal mean of soil moisture (m 3 /m 3 ) during 2010-2015: (a) SMOS-IC (SMOS-INRA-CESBIO); (b) SMOSL3 SM (Level 3 SMOS soil moisture); and (c) ECMWF (European Center for Medium  ...  Figure 1 . 1 Temporal mean of soil moisture (m 3 /m 3 ) during 2010-2015: (a) SMOS-IC (SMOS-INRA-CESBIO); (b) SMOSL3 SM (Level 3 SMOS soil moisture); and (c) ECMWF (European Center for Medium range Weather  ... 
doi:10.3390/rs9050457 fatcat:g54uwcim7beb5lcugtvvzufxgq

Enhancing Model Skill by Assimilating SMOPS Blended Soil Moisture Product into Noah Land Surface Model

Jifu Yin, Xiwu Zhan, Youfei Zheng, Jicheng Liu, Li Fang, Christopher R. Hain
2015 Journal of Hydrometeorology  
(ASCAT), and Soil Moisture and Ocean Salinity (SMOS) satellite sensors is examined.  ...  Many studies that have assimilated remotely sensed soil moisture into land surface models have generally focused on retrievals from a single satellite sensor.  ...  This work was supported by a grant from NOAA JPSS Proving Ground and Risk Reduction (PGRR) Program and Graduate Education Innovation Project in Jiangsu Province (CXZZ12_0499).  ... 
doi:10.1175/jhm-d-14-0070.1 fatcat:34lm2hh6vbdf5fqnkw26tgs5pa

A daily/25 km short-latency rainfall product for data scarce regions based on the integration of the GPM IMERG Early Run with multiple satellite soil moisture products

Christian Massari, Luca Brocca, Thierry Pellarin, Gab Abramowitz, Paolo Filippucci, Luca Ciabatta, Viviana Maggioni, Yann Kerr, Diego Fernandez Prieto
2019 Hydrology and Earth System Sciences Discussions  
multiple satellite soil moisture-based rainfall products derived from ASCAT, SMOS and SMAP L3 satellite soil moisture (SM) retrievals.  ...  We tested the performance of this product over four regions characterized by high quality ground-based rainfall datasets (India, Conterminous United States, Australia and Europe) and over data scarce regions  ...  The latter are obtained from the inversion of the SM retrievals 10 derived from: 1) the Soil Moisture Active and Passive (SMAP, Entekhabi et al. (2010) ) mission, 2) the Advanced Scatterometer (ASCAT,  ... 
doi:10.5194/hess-2019-387 fatcat:kz4xlpwypzfuppwz6jvcymho7a

Global-scale evaluation of two satellite-based passive microwave soil moisture datasets (SMOS and AMSR-E) with respect to Land Data Assimilation System estimates

A. Al-Yaari, J.-P. Wigneron, A. Ducharne, Y. Kerr, P. de Rosnay, R. de Jeu, A. Govind, A. Al Bitar, C. Albergel, J. Muñoz-Sabater, P. Richaume, A. Mialon
2014 Remote Sensing of Environment  
2/51 Global Level-3 surface Soil Moisture (SM) maps derived from the passive microwave SMOS (Soil Moisture and Ocean Salinity) observations at L-band have recently been released.  ...  The present study was carried out from 03/2010 to 09/2011, a period during which both SMOS and AMSR-E products were available at global scale.  ...  We are also grateful to Mr Christophe Moisy for providing valuable technical assistance and to Dr Barry Gardiner for revising the English of the manuscript.  ... 
doi:10.1016/j.rse.2014.04.006 fatcat:glzqe3v3t5cj5nsouc5sn4bd3i

Combining satellite observations to develop a global soil moisture product for near-real-time applications

Markus Enenkel, Christoph Reimer, Wouter Dorigo, Wolfgang Wagner, Isabella Pfeil, Robert Parinussa, Richard De Jeu
2016 Hydrology and Earth System Sciences  
It is composed of observations from 10 different satellites and aims to exploit the individual strengths of active (radar) and passive (radiometer) sensors, thereby providing surface soil moisture estimates  ...  </strong> The soil moisture dataset that is generated via the Climate Change Initiative (CCI) of the European Space Agency (ESA) (ESA CCI SM) is a popular research product.  ...  of the Austrian Research Promotion Agency (project number 4277353) and by the European Space Agency (ESA) Climate Change Initiative for Soil Moisture (contract 4000104814/11/I-NB,CC).  ... 
doi:10.5194/hess-20-4191-2016 fatcat:nxt25s6yrng4bpzd3recxqe3t4

The effect of assimilating satellite-derived soil moisture data in SiBCASA on simulated carbon fluxes in Boreal Eurasia

M. K. van der Molen, R. A. M. de Jeu, W. Wagner, I. R. van der Velde, P. Kolari, J. Kurbatova, A. Varlagin, T. C. Maximov, A. V. Kononov, T. Ohta, A. Kotani, M. C. Krol (+1 others)
2016 Hydrology and Earth System Sciences  
The match between SiBCASA and ASCAT soil moisture is best in the summer months over low vegetation. Nevertheless, ASCAT failed to detect the major droughts occurring between 2007 and 2013.  ...  The performance of ASCAT soil moisture seems to be particularly sensitive to ponding, rather than to biomass.  ...  Kurbatova and A. Varlagin, and the in situ observations in Tver were funded by the Russian Science Foundation, Grant 14-27-00065.  ... 
doi:10.5194/hess-20-605-2016 fatcat:su4evtedqnglzl6rsb2jg742my

The effect of assimilating satellite derived soil moisture in SiBCASA on simulated carbon fluxes in Boreal Eurasia

M. K. van der Molen, R. A. M. de Jeu, W. Wagner, I. R. van der Velde, P. Kolari, J. Kurbatova, A. Varlagin, T. C. Maximov, A. V. Kononov, T. Ohta, A. Kotani, M. C. Krol (+1 others)
2015 Hydrology and Earth System Sciences Discussions  
The match between SiBCASA and ASCAT soil moisture is best in the summer months over low vegetation. Nevertheless, ASCAT failed to detect the major droughts occurring between 2007 and 2013.  ...  The performance of ASCAT soil moisture seems to be particularly sensitive to ponding, rather than to biomass.  ...  Kurbatova and A. Varlagin, and the in situ observations in Tver were funded by the Russian Science Foundation, Grant 14-27-00065. Edited by: P. Saco  ... 
doi:10.5194/hessd-12-9003-2015 fatcat:34dg4fnv5bbmrhuc57nypc45ey
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