Technical Papers
May 15, 2012

Calibration of Roughness Parameters Using Rainfall–Runoff Water Balance for Satellite Soil Moisture Retrieval

Publication: Journal of Hydrologic Engineering
Volume 17, Issue 6

Abstract

Soil moisture is an important component in hydrologic and meteorologic processes. Remote sensing devices, such as satellite radiometers, are useful tools to obtain soil moisture information over a large region. However, effective “ground truth” calibration data for satellite sensors are lacking. This paper presents a new approach on the basis of rainfall and river runoff hydrologic data to estimate satellite-based soil moisture. The catchment water storage change from the rainfall and river runoff has a strong link with the soil moisture information and the parameterization of the surface roughness parameters h and Q. The proposed methodology is tested at the Brue catchment in southwest England. Two years of satellite data are used for calibrating and retrieving surface soil moisture, and 1 year of data is used for validation. This study indicates that the estimated daily soil moisture from satellite correlates well with the flow observations after applying the new calibration method, and good agreement (R2=0.74) is shown between the water storage change and the soil moisture change. The results indicate that this new scheme could be a useful approach in improving the satellite soil moisture retrieval for hydrologic applications.

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Acknowledgments

The authors would like to thank the Ministry of Higher Education and Scientific Research (MOHER) in Iraq for funding this research. The authors also thank the U.K. Met Office, the Environment Agency, and the British Atmospheric Data Centre (BADC) for providing the hydrologic and meteorologic data. The authors also would like to thank the associate editor and the anonymous reviewers for their constructive comments, which greatly improved the manuscript.

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Go to Journal of Hydrologic Engineering
Journal of Hydrologic Engineering
Volume 17Issue 6June 2012
Pages: 704 - 714

History

Received: Feb 14, 2011
Accepted: Sep 13, 2011
Published online: May 15, 2012
Published in print: Jun 1, 2012

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Authors

Affiliations

Deleen Al-Shrafany [email protected]
Ph.D. Research Student, 0.36 Queens’s Building, Dept. of Civil Engineering, Univ. of Bristol, Bristol, BS8 1TR, UK (corresponding author). E-mail: [email protected]
Miguel Angel Rico-Ramirez [email protected]
Lecturer in Radar Hydrology and Hydroinformatics, Dept. of Civil Engineering, Univ. of Bristol, Bristol, BS8 1TR, UK. E-mail: [email protected]
Professor of Hydroinformatics, Dept. of Civil Engineering, Univ. of Bristol, Bristol, BS8 1TR, UK. E-mail: [email protected]

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