Comparison of gridded precipitation datasets for rainfall-runoff and inundation modeling in the Mekong River Basin

Precipitation, as a primary hydrological variable in the water cycle plays an important role in hydrological modeling. The reliability of hydrological modeling is highly related to the quality of precipitation data. Accurate long-term gauged precipitation in the Mekong River Basin, however, is limit...

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Veröffentlicht in:PloS one 2020-01, Vol.15 (1), p.e0226814-e0226814
Hauptverfasser: Try, Sophal, Tanaka, Shigenobu, Tanaka, Kenji, Sayama, Takahiro, Oeurng, Chantha, Uk, Sovannara, Takara, Kaoru, Hu, Maochuan, Han, Dawei
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creator Try, Sophal
Tanaka, Shigenobu
Tanaka, Kenji
Sayama, Takahiro
Oeurng, Chantha
Uk, Sovannara
Takara, Kaoru
Hu, Maochuan
Han, Dawei
description Precipitation, as a primary hydrological variable in the water cycle plays an important role in hydrological modeling. The reliability of hydrological modeling is highly related to the quality of precipitation data. Accurate long-term gauged precipitation in the Mekong River Basin, however, is limited. Therefore, the main objective of this study is to assess the performances of various gridded precipitation datasets in rainfall-runoff and flood-inundation modeling of the whole basin. Firstly, the performance of the Rainfall-Runoff-Inundation (RRI) model in this basin was evaluated using the gauged rainfall. The calibration (2000-2003) and validation (2004-2007) results indicated that the RRI model had acceptable performance in the Mekong River Basin. In addition, five gridded precipitation datasets including APHRODITE, GPCC, PERSIANN-CDR, GSMaP (RNL), and TRMM (3B42V7) from 2000 to 2007 were applied as the input to the calibrated model. The results of the simulated river discharge indicated that TRMM, GPCC, and APHRODITE performed better than other datasets. The statistical index of the annual maximum inundated area indicated similar conclusions. Thus, APHRODITE, TRMM, and GPCC precipitation datasets were considered suitable for rainfall-runoff and flood inundation modeling in the Mekong River Basin. This study provides useful guidance for the application of gridded precipitation in hydrological modeling in the Mekong River basin.
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The reliability of hydrological modeling is highly related to the quality of precipitation data. Accurate long-term gauged precipitation in the Mekong River Basin, however, is limited. Therefore, the main objective of this study is to assess the performances of various gridded precipitation datasets in rainfall-runoff and flood-inundation modeling of the whole basin. Firstly, the performance of the Rainfall-Runoff-Inundation (RRI) model in this basin was evaluated using the gauged rainfall. The calibration (2000-2003) and validation (2004-2007) results indicated that the RRI model had acceptable performance in the Mekong River Basin. In addition, five gridded precipitation datasets including APHRODITE, GPCC, PERSIANN-CDR, GSMaP (RNL), and TRMM (3B42V7) from 2000 to 2007 were applied as the input to the calibrated model. The results of the simulated river discharge indicated that TRMM, GPCC, and APHRODITE performed better than other datasets. 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The reliability of hydrological modeling is highly related to the quality of precipitation data. Accurate long-term gauged precipitation in the Mekong River Basin, however, is limited. Therefore, the main objective of this study is to assess the performances of various gridded precipitation datasets in rainfall-runoff and flood-inundation modeling of the whole basin. Firstly, the performance of the Rainfall-Runoff-Inundation (RRI) model in this basin was evaluated using the gauged rainfall. The calibration (2000-2003) and validation (2004-2007) results indicated that the RRI model had acceptable performance in the Mekong River Basin. In addition, five gridded precipitation datasets including APHRODITE, GPCC, PERSIANN-CDR, GSMaP (RNL), and TRMM (3B42V7) from 2000 to 2007 were applied as the input to the calibrated model. The results of the simulated river discharge indicated that TRMM, GPCC, and APHRODITE performed better than other datasets. The statistical index of the annual maximum inundated area indicated similar conclusions. Thus, APHRODITE, TRMM, and GPCC precipitation datasets were considered suitable for rainfall-runoff and flood inundation modeling in the Mekong River Basin. This study provides useful guidance for the application of gridded precipitation in hydrological modeling in the Mekong River basin.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>31914161</pmid><doi>10.1371/journal.pone.0226814</doi><tpages>e0226814</tpages><orcidid>https://orcid.org/0000-0002-9485-954X</orcidid><orcidid>https://orcid.org/0000-0003-4736-4568</orcidid><oa>free_for_read</oa></addata></record>
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source MEDLINE; DOAJ Directory of Open Access Journals; Public Library of Science (PLoS) Journals Open Access; EZB-FREE-00999 freely available EZB journals; PubMed Central; Free Full-Text Journals in Chemistry
subjects Analysis
Calibration
Civil engineering
Computer simulation
Datasets
Earth Sciences
Ecology and Environmental Sciences
Floods
Hydrologic cycle
Hydrologic data
Hydrologic models
Hydrology
Medieval drama
Modelling
Models, Theoretical
People and Places
Precipitation
Precipitation (Meteorology)
Precipitation data
Prevention
Rain
Rain - chemistry
Rainfall
Rainfall runoff
Rainfall-runoff modeling
Rainfall-runoff relationships
Reproducibility of Results
Research and Analysis Methods
River basins
River discharge
River flow
River networks
Rivers
Rivers - chemistry
Runoff
Topography
TRMM satellite
Tropical Rainfall Measuring Mission (TRMM)
Vietnam
Water
Water cycle
Water Movements
title Comparison of gridded precipitation datasets for rainfall-runoff and inundation modeling in the Mekong River Basin
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