TY - JOUR
T1 - Comparison of Gridded Precipitation Datasets for Rainfall-Runoff and Inundation Modeling in the Mekong River Basin
AU - Try, Sophal
AU - Tanaka, Shigenobu
AU - Tanaka, Kenji
AU - Sayama, Takahiro
AU - Oeurng, Chantha
AU - Uk, Sovannara
AU - Takara, Kaoru
AU - Hu, Maochuan
AU - Han, Dawei
PY - 2020/1/8
Y1 - 2020/1/8
N2 - Precipitation is a primary hydrological process in the water cycle, and it is an indispensable input 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 in the whole basin. First, 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. Then, five available gridded precipitation datasets including APHRODITE, GPCC, PERSIANN-CDR, GSMaP (RNL), and TRMM (3B42V7) from 2000 to 2007 were input into 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 annual maximum flood 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
AB - Precipitation is a primary hydrological process in the water cycle, and it is an indispensable input 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 in the whole basin. First, 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. Then, five available gridded precipitation datasets including APHRODITE, GPCC, PERSIANN-CDR, GSMaP (RNL), and TRMM (3B42V7) from 2000 to 2007 were input into 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 annual maximum flood 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
U2 - 10.1371/journal.pone.0226814
DO - 10.1371/journal.pone.0226814
M3 - Article (Academic Journal)
C2 - 31914161
SN - 1932-6203
VL - 15
JO - PLOS ONE
JF - PLOS ONE
IS - 1
ER -