Systematic Evaluation of Satellite-Based Rainfall Products over the Brahmaputra Basin for Hydrological Applications
Estimation of the flow generated in the Brahmaputra river basin is important for establishing an effective flood prediction and warning services as well as for water resources assessment and management. But this is a data scarce region with few and unevenly distributed hydrometeorological stations....
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Wiley
2015-01-01
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Series: | Advances in Meteorology |
Online Access: | http://dx.doi.org/10.1155/2015/398687 |
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author | Sagar Ratna Bajracharya Wahid Palash Mandira Singh Shrestha Vijay Ratan Khadgi Chu Duo Partha Jyoti Das Chhimi Dorji |
author_facet | Sagar Ratna Bajracharya Wahid Palash Mandira Singh Shrestha Vijay Ratan Khadgi Chu Duo Partha Jyoti Das Chhimi Dorji |
author_sort | Sagar Ratna Bajracharya |
collection | DOAJ |
description | Estimation of the flow generated in the Brahmaputra river basin is important for establishing an effective flood prediction and warning services as well as for water resources assessment and management. But this is a data scarce region with few and unevenly distributed hydrometeorological stations. Five high-resolution satellite rainfall products (CPC RFE2.0, RFE2.0-Modified, CMORPH, GSMaP, and TRMM 3B42) were evaluated at different spatial and temporal resolutions (daily, dekadal, monthly, and seasonal) with observed rain gauge data from 2004 to 2006 to determine their ability to fill the data gap and suitability for use in hydrological and water resources management applications. Grid-to-grid (G-G) and catchment-to-catchment (C-C) comparisons were performed using the verification methods developed by the International Precipitation Working Group (IPWG). Comparing different products, RFE2.0-Modified, TRMM 3B42, and CMORPH performed best; they all detected heavy, moderate, and low rainfall but still significantly underestimated magnitude of rainfall, particularly in orographically influenced areas. Overall, RFE2.0-Modified performed best showing a high correlation coefficient with observed data and low mean absolute error, root mean square error, and multiple bias and is reasonably good at detecting the occurrence of rainfall. TRMM 3B42 showed the second best performance. The study demonstrates that there is a potential use of satellite rainfall in a data scarce region. |
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id | doaj-art-dbc8f1c5c033457c89c830f4f9e06eda |
institution | Kabale University |
issn | 1687-9309 1687-9317 |
language | English |
publishDate | 2015-01-01 |
publisher | Wiley |
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series | Advances in Meteorology |
spelling | doaj-art-dbc8f1c5c033457c89c830f4f9e06eda2025-02-03T05:59:17ZengWileyAdvances in Meteorology1687-93091687-93172015-01-01201510.1155/2015/398687398687Systematic Evaluation of Satellite-Based Rainfall Products over the Brahmaputra Basin for Hydrological ApplicationsSagar Ratna Bajracharya0Wahid Palash1Mandira Singh Shrestha2Vijay Ratan Khadgi3Chu Duo4Partha Jyoti Das5Chhimi Dorji6International Centre for Integrated Mountain Development (ICIMOD), P.O. Box 3226, Kathmandu, NepalDepartment of Civil and Environmental Engineering, Tufts University, Medford, Boston, MA 02155, USAInternational Centre for Integrated Mountain Development (ICIMOD), P.O. Box 3226, Kathmandu, NepalInternational Centre for Integrated Mountain Development (ICIMOD), P.O. Box 3226, Kathmandu, NepalInstitute of Tibetan Plateau Atmospheric and Environmental Sciences, Lhasa, Tibet Autonomous Region 850000, ChinaAaranyak, Guwahati, Assam 781028, IndiaDepartment of Hydro-Met Services, Ministry of Economic Affairs, Thimphu, BhutanEstimation of the flow generated in the Brahmaputra river basin is important for establishing an effective flood prediction and warning services as well as for water resources assessment and management. But this is a data scarce region with few and unevenly distributed hydrometeorological stations. Five high-resolution satellite rainfall products (CPC RFE2.0, RFE2.0-Modified, CMORPH, GSMaP, and TRMM 3B42) were evaluated at different spatial and temporal resolutions (daily, dekadal, monthly, and seasonal) with observed rain gauge data from 2004 to 2006 to determine their ability to fill the data gap and suitability for use in hydrological and water resources management applications. Grid-to-grid (G-G) and catchment-to-catchment (C-C) comparisons were performed using the verification methods developed by the International Precipitation Working Group (IPWG). Comparing different products, RFE2.0-Modified, TRMM 3B42, and CMORPH performed best; they all detected heavy, moderate, and low rainfall but still significantly underestimated magnitude of rainfall, particularly in orographically influenced areas. Overall, RFE2.0-Modified performed best showing a high correlation coefficient with observed data and low mean absolute error, root mean square error, and multiple bias and is reasonably good at detecting the occurrence of rainfall. TRMM 3B42 showed the second best performance. The study demonstrates that there is a potential use of satellite rainfall in a data scarce region.http://dx.doi.org/10.1155/2015/398687 |
spellingShingle | Sagar Ratna Bajracharya Wahid Palash Mandira Singh Shrestha Vijay Ratan Khadgi Chu Duo Partha Jyoti Das Chhimi Dorji Systematic Evaluation of Satellite-Based Rainfall Products over the Brahmaputra Basin for Hydrological Applications Advances in Meteorology |
title | Systematic Evaluation of Satellite-Based Rainfall Products over the Brahmaputra Basin for Hydrological Applications |
title_full | Systematic Evaluation of Satellite-Based Rainfall Products over the Brahmaputra Basin for Hydrological Applications |
title_fullStr | Systematic Evaluation of Satellite-Based Rainfall Products over the Brahmaputra Basin for Hydrological Applications |
title_full_unstemmed | Systematic Evaluation of Satellite-Based Rainfall Products over the Brahmaputra Basin for Hydrological Applications |
title_short | Systematic Evaluation of Satellite-Based Rainfall Products over the Brahmaputra Basin for Hydrological Applications |
title_sort | systematic evaluation of satellite based rainfall products over the brahmaputra basin for hydrological applications |
url | http://dx.doi.org/10.1155/2015/398687 |
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