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孟加拉国恒河-布拉马普特拉河-梅克纳河流域的高分辨率网格化径流数据（1951年至2023年）。

High-resolution gridded streamflow data for Ganges-Brahmaputra-Meghna River Basins in Bangladesh (1951-2023).

作者信息

Kim Byeong-Hee, Hossain Sazzad, Kam Jonghun

机构信息

Division of Environmental Science and Engineering, Pohang University of Science and Technology (POSTECH), Pohang, Republic of Korea.

Human Resource Program for Sustainable Environment in the 4th Industrial Revolution Society, Pohang University of Science and Technology (POSTECH), Pohang, Republic of Korea.

出版信息

Sci Data. 2025 Apr 22;12(1):673. doi: 10.1038/s41597-025-05014-8.

DOI:10.1038/s41597-025-05014-8
PMID:40263402
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12015416/
Abstract

A 9-km daily gridded streamflow dataset is generated using the Variable Infiltration Capacity-River Routing Model (VIC-RRM) across the Ganges-Brahmaputra-Meghna River basins over 1951-2023, forced by the ERA5-Land reanalysis data for naturalized streamflow. Physically consistent streamflow forecast data is also generated forced by the ECMWF S2S forecasts. The performance of the dataset is evaluated using observed streamflow data from three gauge stations in Bangladesh along the streams of Ganges, Brahmaputra, and Meghna Rivers, calculating the modified Kling-Gupta Efficiency (mKGE) metric for the 365-day climatology. For Ganges, Brahmaputra, and Meghna Rivers, the mKGE values of reconstructed streamflow data are 0.50, 0.75, and 0.25, respectively. Comparing with the reconstructed streamflow data, the streamflow forecasts show a good agreement with mKGE values of 1.00, 0.97, and 0.91 at three gauge stations, respectively. This dataset provides physically consistent reconstructed and forecasted streamflow data at high resolution, offering a valuable resource for the assessment of climate variability and change and the development of river basin-specific water management strategies in the Ganges-Brahmaputra-Meghna Rivers in Bangladesh.

摘要

利用可变下渗能力-河流汇流模型（VIC-RRM），基于1951 - 2023年期间恒河-布拉马普特拉河-梅克纳河流域的ERA5-Land再分析数据生成每日9公里网格的河川径流数据集，以获取天然河川径流。还利用欧洲中期天气预报中心（ECMWF）的季节性至年代际（S2S）预报数据生成物理上一致的河川径流预报数据。使用孟加拉国沿恒河、布拉马普特拉河和梅克纳河的三个水文站的实测河川径流数据对该数据集的性能进行评估，计算365天气候学的修正克林-古普塔效率（mKGE）指标。对于恒河、布拉马普特拉河和梅克纳河，重建河川径流数据的mKGE值分别为0.50、0.75和0.25。与重建河川径流数据相比，河川径流预报在三个水文站的mKGE值分别为1.00、0.97和0.91，显示出良好的一致性。该数据集提供了高分辨率的物理上一致的重建和预报河川径流数据，为评估孟加拉国恒河-布拉马普特拉河-梅克纳河的气候变率和变化以及制定特定流域的水资源管理策略提供了宝贵资源。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b42e/12015416/46771e5bb004/41597_2025_5014_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b42e/12015416/56f3cb9c2915/41597_2025_5014_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b42e/12015416/17b2514ebb49/41597_2025_5014_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b42e/12015416/6fefd48db7bb/41597_2025_5014_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b42e/12015416/cdf8e7539ea6/41597_2025_5014_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b42e/12015416/c48d789fa607/41597_2025_5014_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b42e/12015416/46771e5bb004/41597_2025_5014_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b42e/12015416/56f3cb9c2915/41597_2025_5014_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b42e/12015416/17b2514ebb49/41597_2025_5014_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b42e/12015416/6fefd48db7bb/41597_2025_5014_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b42e/12015416/cdf8e7539ea6/41597_2025_5014_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b42e/12015416/c48d789fa607/41597_2025_5014_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b42e/12015416/46771e5bb004/41597_2025_5014_Fig6_HTML.jpg

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本文引用的文献

1
Hyper-resolution naturalized streamflow data for Geum River in South Korea (1951-2020).韩国锦江流域超分辨率自然化径流数据（1951 - 2020年）。
Sci Data. 2025 Feb 4;12(1):210. doi: 10.1038/s41597-025-04486-y.
2
Global Reconstruction of Naturalized River Flows at 2.94 Million Reaches.294万个河段的天然河流水量全球重建。
Water Resour Res. 2019 Aug;55(8):6499-6516. doi: 10.1029/2019WR025287. Epub 2019 Aug 5.