2000-2022年新疆天山地区多源降水融合数据集  

A dataset of multi-source precipitation fusion in the Xinjiang Tianshan Mountains from 2000 to 2022

作　　者：卢新玉[1,2] 伏晓慧[3] 王秀琴[4] 刘艳[1,2] 火红 王敏仲[1] LU Xinyu;FU Xiaohui;WANG Xiuqin;LIU Yan;HUO Hong;WANG Minzhong(Institute of Desert Meteorology,China Meteorological Administration,Urumqi,China,Urumqi 830002,P.R.China;Field Scientific Experiment Base of Akdala Atmospheric Background,China Meteorological Administration,Urumqi 830002,P.R.China;Urumqi Meteorological Bureau,Xinjiang 830002,P.R.China;Xinjiang Meteorological Information Center,Xinjiang 830002,P.R.China)

机构地区：[1]中国气象局乌鲁木齐沙漠气象研究所,乌鲁木齐830002 [2]中国气象局阿克达拉大气本底野外科学试验基地,乌鲁木齐830002 [3]新疆乌鲁木齐市气象局,乌鲁木齐830002 [4]新疆气象信息中心,乌鲁木齐830002

出　　处：《中国科学数据(中英文网络版)》2025年第1期390-398,共9页China Scientific Data

基　　金：“天山英才”培养计划-科技创新团队(天山创新团队)项目(2022TSYCTD0007);新疆维吾尔自治区自然科学基金面上项目(2023D01A17);新疆维吾尔自治区天山英才项目(2023TSYCCX0079);国家冰川冻土沙漠科学数据中心开放基金(2021kf06);中国气象局乌鲁木齐沙漠气象研究所科技发展基金(KJFZ202305);新疆交通运输行业科技项目(2022-ZD-006);新疆交投揭榜挂帅制科技项目(ZKXFWCG2022060004);新疆交通设计院公司科研基金(KY2022041101)。

摘　　要：天山山区属于我国典型的高寒山区,被誉为“中亚水塔”,对于新疆乃至中亚地区均具有重要意义。随着遥感技术的进步,利用卫星反演来估算山区降水量已成为一种重要方法,然而,由于山区地形复杂且分布不均,导致了基于卫星反演的降水数据在精度方面存在不足。针对此问题,本研究开展天山山区多源降水融合数据集研制,以GSMaP卫星降水数据为初始场,结合同期区域内1065个台站的实况日降水数据,发展一种基于最优插值的星地降水产品融合方法,最终生成2000–2022年天山山区逐日融合降水产品集。本数据集在研制过程中对实况数据进行了严格质控,对逐日融合降水数据进行了质量评估,相关系数由0.44提高至0.53(通过0.01水平显著性检验),绝对平均误差由6.3mm d^(-1)下降至5.7mm d^(-1)。本产品集有望为复杂地形区域的水资源管理与高效利用提供坚实的数据支持与科学支撑。The Tianshan Mountains,known as the“water tower of Central Asia”,are a typical alpine region in China and hold significant importance for both Xinjiang and the broader Central Asian region.With the advancement of remote sensing technology,satellite inversion has become an important method for estimating precipitation in mountainous areas.However,due to the complex terrain and uneven distribution in mountainous areas,there are limitations in the accuracy of precipitation data derived from satellite inversion.To address this issue,this study developed a dataset of multi-source precipitation fusion in the Tianshan Mountains,using GSMaP satellite precipitation data as the initial field and combining with the live precipitation data from 1,065 stations in the same region.And we developed a method for integrating satellite and ground precipitation products based on optimal interpolation.The resulting dataset is a product of daily precipitation in the Tianshan Mountains from 2000 to 2022.During the development of this dataset,strict quality control was implemented on the observed data,and quality assessment was conducted on the daily fused precipitation data.The correlation coefficient increased from 0.44 to 0.53(passing the significant test at 0.01 level),while the absolute average error decreased from 6.3 mm d^(-1) to 5.7 mm d^(-1).This dataset is expected to provide solid data and scientific support for water resource management and efficient utilization in complex terrain areas.

关 键 词：天山山区 多源降水 最优插值 数据集 

分 类 号：P332[天文地球—水文科学] P407[水利工程—水文学及水资源]