• DocumentCode
    3060778
  • Title

    Assimilation of satellite soil moisture data into rainfall-runoff modelling for several catchments worldwide

  • Author

    Brocca, Luca ; Moramarco, Tommaso ; Dorigo, Wouter ; Wagner, Wolfgang

  • Author_Institution
    Res. Inst. for Geo-Hydrol. Protection, Perugia, Italy
  • fYear
    2013
  • fDate
    21-26 July 2013
  • Firstpage
    2281
  • Lastpage
    2284
  • Abstract
    The assimilation of satellite soil moisture data into rainfall-runoff modelling represents an important issue not only for research purposes but also for hydrological application addressing flood forecasting. Notwithstanding the large effort made in the last three decades, only few studies demonstrated a benefit deriving from the use of satellite soil moisture data in hydrology. This matter can be ascribed to the differences in the quality of the assimilated data, in the climatic conditions and in the data assimilation techniques that have been adopted. Based on that, this study compares different satellite soil moisture products in different catchments worldwide to shed light about the more suitable products and climatic conditions that should be employed for improving runoff prediction. The results reveal that the employed soil moisture products can be conveniently used to improve runoff prediction. However, reliability differs according to the climatic region and the accuracy of satellite retrievals.
  • Keywords
    climatology; data assimilation; floods; moisture; rain; soil; climatic conditions; climatic region; data assimilation techniques; flood forecasting; hydrological application; rainfall-runoff modelling; runoff prediction; satellite retrieval accuracy; satellite soil moisture data assimilation; satellite soil moisture products; soil moisture products; Data assimilation; Data models; Floods; Predictive models; Satellites; Soil moisture; Soil moisture; data assimilation; rainfall-runoff modelling; remote sensing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
  • Conference_Location
    Melbourne, VIC
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4799-1114-1
  • Type

    conf

  • DOI
    10.1109/IGARSS.2013.6723273
  • Filename
    6723273