Improving the Predictive Skill of a Distributed Hydrological Model by Calibration on Spatial Patterns With Multiple Satellite Data Sets

Author:

Dembélé Moctar12ORCID,Hrachowitz Markus2ORCID,Savenije Hubert H. G.2ORCID,Mariéthoz Grégoire1ORCID,Schaefli Bettina13ORCID

Affiliation:

1. Faculty of Geosciences and Environment, Institute of Earth Surface Dynamics University of Lausanne Lausanne Switzerland

2. Faculty of Civil Engineering and Geosciences, Water Resources Section Delft University of Technology Delft Netherlands

3. Now at Institute of Geography (GIUB) University of Bern Bern Switzerland

Funder

Bundesbehörden der Schweizerischen Eidgenossenschaft

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung

Publisher

American Geophysical Union (AGU)

Subject

Water Science and Technology

Reference185 articles.

1. Legacy, Rather Than Adequacy, Drives the Selection of Hydrological Models

2. Remote sensing of drought: Progress, challenges and opportunities

3. Allen R. G. L. S.Pereira D.Raes &M.Smith(1998).Crop evapotranspiration—Guidelines for computing crop water requirements—FAO Irrigation and drainage paper 56 326 pp.http://academic.uprm.edu/abe/backup2/tomas/fao%2056.pdf

4. Andreini M. N.Giesen A.Edig M.Fosu andW.Andah(2000) Volta Basin water balance 37 pp University of Bonn Center for Development Research (ZEF) https://ideas.repec.org/p/ags/ubzefd/280265.html

5. Incorporating vegetation dynamics noticeably improved performance of hydrological model under vegetation greening

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