• DocumentCode
    61550
  • Title

    Clarifications on the “Comparison Between SMOS, VUA, ASCAT, and ECMWF Soil Moisture Products Over Four Watersheds in U.S.”

  • Author

    Wagner, Wolfgang ; Brocca, Luca ; Naeimi, Vahid ; Reichle, R. ; Draper, Conny ; de Jeu, R. ; Ryu, Dongryeol ; Chun-Hsu Su ; Western, Andrew ; Calvet, Jean-Christophe ; Kerr, Yann H. ; Leroux, Delphine J. ; Drusch, Matthias ; Jackson, Thomas J. ; Hahn, Seu

  • Author_Institution
    Dept. of Geodesy & Geoinf., Vienna Univ. of Technol. (TU Wien), Vienna, Austria
  • Volume
    52
  • Issue
    3
  • fYear
    2014
  • fDate
    Mar-14
  • Firstpage
    1901
  • Lastpage
    1906
  • Abstract
    In a recent paper, Leroux compared three satellite soil moisture data sets (SMOS, AMSR-E, and ASCAT) and ECMWF forecast soil moisture data to in situ measurements over four watersheds located in the United States. Their conclusions stated that SMOS soil moisture retrievals represent “an improvement [in RMSE] by a factor of 2-3 compared with the other products” and that the ASCAT soil moisture data are “very noisy and unstable.” In this clarification, the analysis of Leroux is repeated using a newer version of the ASCAT data and additional metrics are provided. It is shown that the ASCAT retrievals are skillful, although they show some unexpected behavior during summer for two of the watersheds. It is also noted that the improvement of SMOS by a factor of 2-3 mentioned by Leroux is driven by differences in bias and only applies relative to AMSR-E and the ECWMF data in the now obsolete version investigated by Leroux et al.
  • Keywords
    soil; water resources; AMSR-E data set; ASCAT data set; ASCAT retrievals; ASCAT soil moisture product; ASCAT unstable soil moisture data; ASCAT very noisy soil moisture data; ECMWF forecast soil moisture data; ECMWF soil moisture product; ECWMF data; RMSE; SMOS data set; SMOS improvement; SMOS soil moisture product; SMOS soil moisture retrievals; US watersheds; United States; VUA soil moisture product; applies version; bias differences; in situ measurements; satellite soil moisture data sets; summer season; Correlation; Remote sensing; Satellites; Soil measurements; Soil moisture; Advanced Scatterometer (ASCAT); Soil Moisture and Ocean Salinity (SMOS); noise characterization; soil moisture; validation;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/TGRS.2013.2282172
  • Filename
    6644265