Evaluation of TRMM rainfall for soil moisture prediction in a subtropical climate
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- 作者：Manika Gupta (1)
Prashant K. Srivastava (2)
Tanvir Islam (3) (5) (6)
Asnor Muizan Bin Ishak (4) - 关键词：TRMM ; Rainfall ; Soil moisture ; Predictive modelling ; HYDRUS 1D
- 刊名：Environmental Earth Sciences
- 出版年：2014
- 出版时间：May 2014
- 年：2014
- 卷：71
- 期：10
- 页码：4421-4431
- 全文大小：1,129 KB
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Prashant K. Srivastava (2)
Tanvir Islam (3) (5) (6)
Asnor Muizan Bin Ishak (4)
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 - ISSN：1866-6299
文摘
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-.68 and 0.70-.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.