NDLI: Assimilating scatterometer soil moisture data into conceptual hydrologic models at the regional scale

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Assimilating scatterometer soil moisture data into conceptual hydrologic models at the regional scale

Content Provider	Directory of Open Access Journals (DOAJ)
Author	V. Naeimi G. Blöschl R. Merz W. Wagner J. Parajka K. Scipal
Abstract	This paper examines the potential of scatterometer data from ERS satellites for improving hydrological simulations in both gauged and ungauged catchments. We compare the soil moisture dynamics simulated by a semidistributed hydrologic model in 320 Austrian catchments with the soil moisture dynamics inferred from the satellite data. The most apparent differences occur in the Alpine areas. Assimilating the scatterometer data into the hydrologic model during the calibration phase improves the relationship between the two soil moisture estimates without any significant decrease in runoff model efficiency. For the case of ungauged catchments, assimilating scatterometer data does not improve the daily runoff simulations but does provide more consistent soil moisture estimates. If the main interest is in obtaining estimates of catchment soil moisture, reconciling the two sources of soil moisture information seems to be of value because of the different error structures.
Related Links	http://www.hydrol-earth-syst-sci.net/10/353/2006/hess-10-353-2006.pdf
ISSN	10275606
e-ISSN	16077938
Journal	Hydrology and Earth System Sciences
Issue Number	3
Volume Number	10
Language	English
Publisher	Copernicus Publications
Publisher Date	2006-01-01
Publisher Place	Germany
Access Restriction	Open
Subject Keyword	Technology Environmental Technology. Sanitary Engineering Geography. Anthropology. Recreation Environmental Sciences
Content Type	Text
Resource Type	Article
Subject	Earth and Planetary Sciences Water Science and Technology

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