Cross-evaluation of modelled and remotely sensed surface soil moisture with in situ data in southwestern France

被引:82
|
作者
Albergel, C. [1 ]
Calvet, J. -C. [1 ]
de Rosnay, P. [2 ]
Balsamo, G. [2 ]
Wagner, W. [3 ]
Hasenauer, S. [3 ]
Naeimi, V. [3 ]
Martin, E. [1 ]
Bazile, E. [1 ]
Bouyssel, F. [1 ]
Mahfouf, J. -F. [1 ]
机构
[1] Meteo France, CNRS, CNRM GAME, URA 1357, Toulouse, France
[2] European Ctr Medium Range Weather Forecasts, Reading RG2 9AX, Berks, England
[3] Vienna Univ Technol, Inst Photogrammetry & Remote Sensing, A-1040 Vienna, Austria
关键词
ERS SCATTEROMETER; TEMPORAL STABILITY; SPATIAL SCALES; WATER-BUDGET; ASSIMILATION; SCHEME; IMPLEMENTATION; SIMULATION; PREDICTION; INCLUSION;
D O I
10.5194/hess-14-2177-2010
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
The SMOSMANIA soil moisture network in Southwestern France is used to evaluate modelled and remotely sensed soil moisture products. The surface soil moisture (SSM) measured in situ at 5 cm permits to evaluate SSM from the SIM operational hydrometeorological model of Meteo-France and to perform a cross-evaluation of the normalised SSM estimates derived from coarse-resolution (25 km) active microwave observations from the ASCAT scatterometer instrument (C-band, onboard METOP), issued by EUMETSAT and resampled to the Discrete Global Grid (DGG, 12.5 km gridspacing) by TU-Wien (Vienna University of Technology) over a two year period (2007-2008). A downscaled ASCAT product at one kilometre scale is evaluated as well, together with operational soil moisture products of two meteorological services, namely the ALADIN numerical weather prediction model (NWP) and the Integrated Forecasting System (IFS) analysis of Meteo-France and ECMWF, respectively. In addition to the operational SSM analysis of ECMWF, a second analysis using a simplified extended Kalman filter and assimilating the ASCAT SSM estimates is tested. The ECMWF SSM estimates correlate better with the in situ observations than the Meteo-France products. This may be due to the higher ability of the multi-layer land surface model used at ECMWF to represent the soil moisture profile. However, the SSM derived from SIM corresponds to a thin soil surface layer and presents good correlations with ASCAT SSM estimates for the very first centimetres of soil. At ECMWF, the use of a new data assimilation technique, which is able to use the ASCAT SSM, improves the SSM and the root-zone soil moisture analyses.
引用
收藏
页码:2177 / 2191
页数:15
相关论文
共 50 条
  • [2] Comparison of remotely sensed and modelled soil moisture data sets across Australia
    Holgate, C. M.
    De Jeu, R. A. M.
    van Dijk, A. I. J. M.
    Liu, Y. Y.
    Renzullo, L. J.
    Vinodkumar
    Dharssi, I.
    Parinussa, R. M.
    Van der Schalie, R.
    Gevaert, A.
    Walker, J.
    McJannet, D.
    Cleverly, J.
    Haverd, V.
    Trudinger, C. M.
    Briggs, P. R.
    REMOTE SENSING OF ENVIRONMENT, 2016, 186 : 479 - 500
  • [3] In situ soil moisture network for validation of remotely sensed data
    Bosch, D
    Jackson, T
    Lakshmi, V
    Jacobs, H
    Moran, S
    IGARSS 2004: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM PROCEEDINGS, VOLS 1-7: SCIENCE FOR SOCIETY: EXPLORING AND MANAGING A CHANGING PLANET, 2004, : 3188 - 3190
  • [4] Evaluation of remotely sensed and modelled soil moisture products using global ground-based in situ observations
    Albergel, Clement
    de Rosnay, Patricia
    Gruhier, Claire
    Munoz-Sabater, Joaquin
    Hasenauer, Stefan
    Isaksen, Lars
    Kerr, Yann
    Wagner, Wolfgang
    REMOTE SENSING OF ENVIRONMENT, 2012, 118 : 215 - 226
  • [5] Assessment of Remotely Sensed and Modelled Soil Moisture Data Products in the US Southern Great Plains
    Jiang, Bo
    Su, Hongbo
    Liu, Kai
    Chen, Shaohui
    REMOTE SENSING, 2020, 12 (12)
  • [6] An evaluation of ASCAT surface soil moisture products with in-situ observations in Southwestern France
    Albergel, C.
    Ruediger, C.
    Carrer, D.
    Calvet, J. -C.
    Fritz, N.
    Naeimi, V.
    Bartalis, Z.
    Hasenauer, S.
    HYDROLOGY AND EARTH SYSTEM SCIENCES, 2009, 13 (02) : 115 - 124
  • [7] SPATIAL ANALYSIS OF REMOTELY SENSED SOIL MOISTURE DATA
    Thattai, Deeptha
    Islam, Shafiqul
    JOURNAL OF HYDROLOGIC ENGINEERING, 2000, 5 (04) : 386 - 392
  • [8] Evaluation of Remotely Sensed Soil Moisture for Landslide Hazard Assessment
    Zhuo, Lu
    Dai, Qiang
    Han, Dawei
    Chen, Ningsheng
    Zhao, Binru
    Berti, Matteo
    IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2019, 12 (01) : 162 - 173
  • [9] A ground validation problem of remotely sensed soil moisture data
    Yoo, C
    STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT, 2002, 16 (03) : 175 - 187
  • [10] A ground validation problem of remotely sensed soil moisture data
    C. Yoo
    Stochastic Environmental Research and Risk Assessment, 2002, 16 : 175 - 187