基于GPCC月尺度降水产品的空间降尺度适用性研究  

Spatial Downscaling of Inner Mongolia Autonomous Region Based on GPCC Precipitation Data

作　　者：岳凡 李鹏[2,3] 夏朝辉 吴亨 曹永翔 王添[2,3] YUE Fan;LI Peng;XIA Chaohui;WU Heng;CAO Yongxiang;WANG Tian(Power China Northwest Engineering Corporation Limited,Xi′an,Shaanxi 710065,China;State Key Laboratory of Ecological Water Conservancy in Northwest China,Xi′an University of Technology,Xi′an,Shaanxi 710048,China;Key Laboratory National Forestry and Grassland Administration Ecological Hydrology and Disaster Prevention in Arid Regions,Xi′an University of Technology,Xi′an,Shaanxi 710048,China)

机构地区：[1]中国电建集团西北勘测设计研究院有限公司,陕西西安710065 [2]西安理工大学西北旱区生态水利国家重点实验室,陕西西安710048 [3]旱区生态水文与灾害防治国家林业和草原局重点实验室,陕西西安710048

出　　处：《水利与建筑工程学报》2024年第4期190-199,222,共11页Journal of Water Resources and Architectural Engineering

基　　金：陕西水利科技计划项目(2023slkj-12);陕西省重点研发计划(2023-ZDLSF-65)。

摘　　要：卫星降水产品在弥补地面观测站空间覆盖不足方面起着关键作用,但其较低的空间分辨率和有限的精度限制了在水文学和气候学研究中的直接运用。通过评估全球降水气候中心(GPCC)不同分辨率降水产品,并应用空间降尺度技术提升数据质量,以提升数据应用价值。选取0.25°分辨率GPCC数据,融合多源地理信息,构建多元线性回归模型实施降尺度,成功将其分辨率提高至1 km×1 km,模型依托内蒙古自治区实测降水数据进行验证。结果表明,所有模型的决定系数值均维持在0.881以上,均方根误差低于37.348 mm,偏差不超过0.041 mm,证明降尺度后数据精确可靠,具备良好地域适应性。研究成果可为深入研究内蒙古自治区水循环过程、指导农牧业生产实践、精准监测干旱状况等提供高分辨率、高质量的卫星降水数据支持。Satellite precipitation products play a key role in compensating for the lack of spatial coverage of ground-based observatories,but their low spatial resolution and limited accuracy restrict their direct use in hydrological and climatological studies.Focusing on Inner Mongolia Autonomous Region,this work aims to enhance the value of data application by evalua-ting the Global Precipitation Climate Centre(GPCC)precipitation products at different resolutions and applying spatial downscaling techniques to improve data quality.This work adopted 0.25°resolution GPCC data,which is then fused by multi-source geographic information,constructed multiple linear regression models to implement downscaling,and success-fully increased its resolution to 1 km×1 km,and the models relied on the measured precipitation data for validation.The results show that the R2 values of all models are maintained above 0.881,the root mean square error is lower than 37.348 mm,and the deviation does not exceed 0.041 mm,which proves that the downscaled data are accurate and reliable,and have good geographical adaptability.The research results can provide high-resolution and high-quality satellite precipitation data support for in-depth study of the water cycle process in Inner Mongolia Autonomous Region,guidance of agricultural and animal husbandry production practices,and accurate monitoring of drought conditions.

关 键 词：全球降水气候中心(GPCC) 降水 多元线性回归模型 空间降尺度 

分 类 号：P407[天文地球—大气科学及气象学]