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Evaluation of TRMM rainfall for soil moisture prediction in a subtropical climate
Authors:Manika Gupta  Prashant K Srivastava  Tanvir Islam  Asnor Muizan Bin Ishak
Institution:1. Department of Civil Engineering, Indian Institute of Technology Delhi, New Delhi, 110016, India
2. Department of Civil Engineering, Water and Environment Management Research Centre, University of Bristol, Bristol, BS8 1TR, UK
3. National Oceanic and Atmospheric Administration (NOAA), NESDIS Center for Satellite Applications and Research/STAR/SMCD, NOAA CWCP, Suite 2725, 5830 University Research Ct., College Park, MD, 20740-3818, USA
5. Institute of Industrial Sciences, University of Tokyo, Tokyo, Japan
6. Cooperative Institute for Research in the Atmosphere, Colorado State University, Fort Collins, CO, USA
4. Division of Water Resources Management and Hydrology, Department of Irrigation and Drainage, Ministry of Natural Resources and Environment, KM 7, Jalan Ampang, Ampang, 68000, Kuala Lumpur, Malaysia
Abstract:The Tropical Rainfall Measuring Mission (TRMM) is a joint space mission between NASA and the Japan Aerospace Exploration Agency (JAXA) designed to monitor and study tropical rainfall. In this study, the daily rainfall from TRMM has been utilized to simulate the soil moisture content up to 30 cm vertical soil profile of at an interval depth of 15 cm by using the HYDRUS 1D numerical model for the three plots. The simulated soil moisture content using ground-based rainfall and TRMM-derived rainfall measurements indicate an agreeable goodness of fit between the both. The Nash–Sutcliffe efficiency using ground-based and TRMM-derived rainfall was found in the range of 0.90–0.68 and 0.70–0.40, respectively. The input data sensitivity analysis of precipitation combined with different irrigation treatment indicates a high dependency of soil moisture content with rainfall input. The overall analysis reveals that TRMM rainfall is promising for soil moisture prediction in absence of ground-based measurements of soil moisture.
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