Xiaolong Hu, Zheng Zhou, Haibin Xiong, Quan Gao, Xiayu Cao, Xuhai Yang
{"title":"Inter-comparison of global precipitation data products at the river basin scale","authors":"Xiaolong Hu, Zheng Zhou, Haibin Xiong, Quan Gao, Xiayu Cao, Xuhai Yang","doi":"10.2166/nh.2023.062","DOIUrl":null,"url":null,"abstract":"\n \n While many studies have compared global precipitation datasets at national, continental, and global scales, few have evaluated these data at the river basin scale. This study explored differences in the precipitation estimates and trends of 12 widely applied precipitation datasets, including gauge-, satellite-, and reanalysis-based products, for the world's 6,292 river basins. Results showed that disparities between the 12 precipitation datasets were considerable. A total of 3,125 river basins, with a land area of 5,989.1 × 104 km2, had differences in estimated annual average precipitation exceeding 500 mm year–1, and these basins were mainly distributed in Greenland, Africa, Oceania, and West Asia. Disparities between the precipitation datasets were particularly large during the dry season when the percentage difference between the highest and lowest precipitation estimates exceeded 500% in 1,390 river basins (4839.7 × 104 km2). Differences in rainfall trends also varied markedly between data sources. The data products do not agree on precipitation trends for all the river basins. These findings illustrate the importance of accurate precipitation data to ensure effective policy and planning in terms of hydropower generation, domestic water supply, flood protection, and drought relief at the river basin scale and highlight the uncertainty that exists in current global precipitation data.","PeriodicalId":13096,"journal":{"name":"Hydrology Research","volume":"48 19","pages":""},"PeriodicalIF":2.6000,"publicationDate":"2023-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Hydrology Research","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.2166/nh.2023.062","RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"WATER RESOURCES","Score":null,"Total":0}
引用次数: 0
Abstract
While many studies have compared global precipitation datasets at national, continental, and global scales, few have evaluated these data at the river basin scale. This study explored differences in the precipitation estimates and trends of 12 widely applied precipitation datasets, including gauge-, satellite-, and reanalysis-based products, for the world's 6,292 river basins. Results showed that disparities between the 12 precipitation datasets were considerable. A total of 3,125 river basins, with a land area of 5,989.1 × 104 km2, had differences in estimated annual average precipitation exceeding 500 mm year–1, and these basins were mainly distributed in Greenland, Africa, Oceania, and West Asia. Disparities between the precipitation datasets were particularly large during the dry season when the percentage difference between the highest and lowest precipitation estimates exceeded 500% in 1,390 river basins (4839.7 × 104 km2). Differences in rainfall trends also varied markedly between data sources. The data products do not agree on precipitation trends for all the river basins. These findings illustrate the importance of accurate precipitation data to ensure effective policy and planning in terms of hydropower generation, domestic water supply, flood protection, and drought relief at the river basin scale and highlight the uncertainty that exists in current global precipitation data.
期刊介绍:
Hydrology Research provides international coverage on all aspects of hydrology in its widest sense, and welcomes the submission of papers from across the subject. While emphasis is placed on studies of the hydrological cycle, the Journal also covers the physics and chemistry of water. Hydrology Research is intended to be a link between basic hydrological research and the practical application of scientific results within the broad field of water management.