The Potential of Scatterometer Derived Soil Moisture for Catchment Scale Modelling

  1. K. Scipal 2
  2. W. Wagner 2
  3. A. Ceballos 1
  4. J. Martínez-Fernández 1
  5. C. Scheffler 23
  1. 1 Universidad de Salamanca
    info

    Universidad de Salamanca

    Salamanca, España

    ROR https://ror.org/02f40zc51

  2. 2 Vienna University of Technology
    info

    Vienna University of Technology

    Viena, Austria

    ROR https://ror.org/04d836q62

  3. 3 Dresden University of Technology
    info

    Dresden University of Technology

    Dresde, Alemania

    ROR https://ror.org/042aqky30

Actas:
MODSIM 2003: International Congress on Modelling and Simulation

Editorial: Modelling And Simulation Society Of Australia And New Zealand Inc

ISBN: 1 74052 098 X

Año de publicación: 2003

Páginas: 452-457

Congreso: Integrative Modelling of Biophysical, Social, and Economic Systems for Resource Management Solutions

Tipo: Aportación congreso

Resumen

Radar remote sensing offers emerging capabilities to monitor global hydrological processes. Onlyrecently, the ERS scatterometer has been used successfully to derive soil moisture information with weeklyto decadal temporal resolution. Novel scatterometer systems like NASA’s SeaWinds and EUMETSAT’sAdvanced Scatterometer will provide a flow of operational coarse resolution data for monitoring meso-scalehydrological processes. Currently, concepts of how to integrate scatterometer products in hydrologic modelsare still vague. The coarse resolution of the data in the range of 10-50 km is often felt to impede hydrologicalapplications. However, by careful consideration of scaling properties of the soil moisture field the remotelysensed information may also be used on a catchment scale (>100 km²). In the paper two examples will bepresented which provide a first indication of the usefulness of scatterometer data at the catchment scale. Inthe first example scaling issues will be discussed based on a comparison with in-situ soil moisture data overthe Duero Basin in Spain. In a second example, it will be demonstrate that runoff can be estimated with aforecast range of several weeks by integrating low resolution soil moisture over sub basins of the Zambeziriver in Africa.