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Featured researches published by F. Cabot.


Journal of Hydrometeorology | 2015

Optimization of a Radiative Transfer Forward Operator for Simulating SMOS Brightness Temperatures over the Upper Mississippi Basin

Hans Lievens; A. Al Bitar; Niko Verhoest; F. Cabot; G. J. M. De Lannoy; Matthias Drusch; Gift Dumedah; H. J. Hendricks Franssen; Y.H. Kerr; Sat Kumar Tomer; Brecht Martens; Olivier Merlin; Ming Pan; M. J. van den Berg; Harry Vereecken; Jeffrey P. Walker; Eric F. Wood; Valentijn R. N. Pauwels

AbstractThe Soil Moisture Ocean Salinity (SMOS) satellite mission routinely provides global multiangular observations of brightness temperature TB at both horizontal and vertical polarization with a 3-day repeat period. The assimilation of such data into a land surface model (LSM) may improve the skill of operational flood forecasts through an improved estimation of soil moisture SM. To accommodate for the direct assimilation of the SMOS TB data, the LSM needs to be coupled with a radiative transfer model (RTM), serving as a forward operator for the simulation of multiangular and multipolarization top of the atmosphere TBs. This study investigates the use of the Variable Infiltration Capacity model coupled with the Community Microwave Emission Modelling Platform for simulating SMOS TB observations over the upper Mississippi basin, United States. For a period of 2 years (2010–11), a comparison between SMOS TBs and simulations with literature-based RTM parameters reveals a basin-averaged bias of 30 K. There...


IEEE Transactions on Geoscience and Remote Sensing | 2017

A Comparative Study of the SMAP Passive Soil Moisture Product With Existing Satellite-Based Soil Moisture Products

Mariko S. Burgin; Andreas Colliander; Eni G. Njoku; Steven Chan; F. Cabot; Yann Kerr; Rajat Bindlish; Thomas J. Jackson; Dara Entekhabi; Simon H. Yueh

The NASA Soil Moisture Active Passive (SMAP) satellite mission was launched on January 31, 2015 to provide global mapping of high-resolution soil moisture and freeze–thaw state every 2–3 days using an L-band (active) radar and an L-band (passive) radiometer. The Level 2 radiometer-only soil moisture product (L2_SM_P) provides soil moisture estimates posted on a 36-km Earth-fixed grid using brightness temperature observations from descending passes. This paper provides the first comparison of the validated-release L2_SM_P product with soil moisture products provided by the Soil Moisture and Ocean Salinity (SMOS), Aquarius, Advanced Scatterometer (ASCAT), and Advanced Microwave Scanning Radiometer 2 (AMSR2) missions. This comparison was conducted as part of the SMAP calibration and validation efforts. SMAP and SMOS appear most similar among the five soil moisture products considered in this paper, overall exhibiting the smallest unbiased root-mean-square difference and highest correlation. Overall, SMOS tends to be slightly wetter than SMAP, excluding forests where some differences are observed. SMAP and Aquarius can only be compared for a little more than two months; they compare well, especially over low to moderately vegetated areas. SMAP and ASCAT show similar overall trends and spatial patterns with ASCAT providing wetter soil moistures than SMAP over moderate to dense vegetation. SMAP and AMSR2 largely disagree in their soil moisture trends and spatial patterns; AMSR2 exhibits an overall dry bias, while desert areas are observed to be wetter than SMAP.


Remote Sensing of Environment | 2016

SMOS disaggregated soil moisture product at 1 km resolution: Processor overview and first validation results

Beatriz Molero; Olivier Merlin; Yoann Malbéteau; A. Al Bitar; F. Cabot; Vivien Stefan; Yann Kerr; S. Bacon; Michael H. Cosh; Rajat Bindlish; Thomas J. Jackson


Earth System Science Data | 2017

The global SMOS Level 3 daily soil moisture and brightness temperature maps

Ahmad Al Bitar; Arnaud Mialon; Yann Kerr; F. Cabot; P. Richaume; Elsa Jacquette; Arnaud Quesney; Ali Mahmoodi; Stéphane Tarot; Marie Parrens; Amen Al-Yaari; Thierry Pellarin; Nemesio Rodriguez-Fernandez; Jean-Pierre Wigneron


Eas Publications Series | 2013

SMOS-NEXT: A New Concept for Soil Moisture Retrieval from Passive Interferometric Observations

Y. Soldo; F. Cabot; B. Rougé; Yann Kerr; A. Al Bitar; E. Epaillard


Archive | 2010

METHOD AND SYSTEM FOR RADIOMETRIC IMAGING WITH SPATIO-TEMPORAL OPENING SYNTHESIS

F. Cabot; Yann Kerr; Philippe Richaume; Jean-Claude Souyris; Bernard Rougé


Archive | 2015

Assimilation of SMOS observations to improve soil moisture and streamflow simulations in the Murray Darling Basin , Australia

Hans Lievens; A. Al Bitar; F. Cabot; Gabrielle De Lannoy; Matthias Drusch; Gift Dumedah; H. J. Hendricks Franssen; Yann Kerr; Sat Kumar Tomer; Brecht Martens; Olivier Merlin; Ming Pan; Joshua K. Roundy; M.J. van den Bergh; Harry Vereecken; Niko Verhoest; Jeffrey P. Walker; Eric F. Wood; V. Pauwels


Archive | 2014

A multiscale data assimilation algorithm for SMOS

Hans Lievens; J. van den Berg; Niko Verhoest; A. Al-Bitar; Sat Kumar Tomer; F. Cabot; Yann Kerr; Ming Pan; Eric F. Wood; Matthias Drusch; H. J. Hendricks Franssen; Harry Vereecken; Gabrielle De Lannoy; Gift Dumedah; Jeffrey P. Walker; V. Pauwels


Archive | 2014

Impact of different data assimilation strategies for SMOS on flood forecasting accuracy

Hans Lievens; J. van den Berg; Brecht Martens; Niko Verhoest; A. Al Bitar; Olivier Merlin; Sat Kumar Tomer; F. Cabot; Yann Kerr; Ming Pan; Eric F. Wood; Matthias Drusch; H. J. Hendricks Franssen; Harry Vereecken; Gabrielle De Lannoy; Gift Dumedah; Jeffrey P. Walker; V. Pauwels


Archive | 2014

Assimilation of SMOS observations to improve streamflow simulation in the Murray Darling basin,Australia

Hans Lievens; A. Al-Bitar; F. Cabot; Gabrielle De Lannoy; Matthias Drusch; Gift Dumedah; Yann Kerr; Sat Kumar Tomer; Brecht Martens; Olivier Merlin; Ming Pan; R. Roundy; J. van den Berg; Harry Vereecken; Niko Verhoest; Jeffrey P. Walker; Eric F. Wood; V. Pauwels

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Yann Kerr

Institut national de la recherche agronomique

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A. Al Bitar

Centre national de la recherche scientifique

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Ming Pan

Princeton University

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