干旱区生态环境知识资源中心(Arid): 新疆地区多源降水融合试验

Arid

	新疆地区多源降水融合试验
其他题名	Multisource precipitation data merging experiment in Xinjiang
	卢新玉; 刘艳; 王秀琴; 刘晶; 魏鸣; 宋志国; 张迎新
来源期刊	干旱区研究
ISSN	1001-4675
出版年	2020
卷号	37 期号:5 页码:1223-1232
中文摘要	利用新疆地区2016年夏季(68月)近2000个区域自动站小时降水数据,以最新一代GPM(Global Precipi- tation Measurement Mission,全球降水测量计划)IMERG(Integrated Multi-satellite Retrievals for GPM)卫星降水产品为初始场,运用概率密度匹配与最优插值两步融合校正方法(probability density function-optimal interpolation, PDFOI),开展干旱区多源降水融合试验。首先,通过将实况观测与卫星反演降水进行概率密度函数(PDF)匹配,从而实现对IMERG降水的偏差订正; 然后以偏差订正后的IMERG降水为初估场,实况降水为观测场,通过最优插值(OI)将偏差订正后的IMERG降水量估计值与雨量计实况相结合,最终得到经过两步校正后的新疆地区小时雨量数据。交叉验证结果表明,与雨量计实况和原始卫星降水数据相比,PDF-OI两步校正方法构建的融合降水不仅大大消除了系统误差,而且显著提高了数据精度。
英文摘要	Precipitation is a fundamental component of the Earth's water cycle. Recognizing the temporal and spatial distributions of precipitation in a specific area is helpful to better understand the ecological and environmental changes in this area, and the most important of these is to accurately obtain the precipitation data for the entire area. Therefore, developing high spatiotemporal resolution and high-quality precipitation data is an urgent need as the development of modern meteorological services. In this paper, the study on a fusion method based on two- source precipitation, that is, satellite precipitation data and ground observation, is carried out in the Xinjiang area with sparse stations in China, which can be of great significance to accurately reflect the precipitation distribution information and the characteristics of precipitation evolution process in this area. Using hourly precipitation data in summer(June-August) 2016 of about 2000 automatic weather stations(AWS) over Xinjiang and using the latest generation of GPM IMERG satellite precipitation data as the first guess, a twostep strategy based on the probability density function(PDF) matching and optimal interpolation(OI) technique(PDF-OI) was conducted to a study on fusion methods of precipitation in arid regions. First, the bias of the IMERG precipitation is corrected by matching the PDF of the observation with the satellite data. Then, the bias- corrected IMERG precipitation(pdf_CRT) is used as the initial estimation field and the observation field(OBS) as the truthvalue; the combination of the pdf_CRT and OBS through the OI method is carried out to finally obtain hourly areal precipitation data(pdf- oi_CRT) in Xinjiang. The cross- validation results show that, compared with the OBS and the satellite precipitation, the PDF-OI fusion method not only greatly eliminates the bias but also significantly improves the accuracy of the original satellite precipitation data. In this study, a useful exploration is made in developing a grid precipitation data set in Xinjiang, which is located in a middle-to high-latitude arid area. The results show that the study on the multisource precipitation fusion method helps develop grid precipitation data set. The high temporal and spatial resolution grid precipitation data set will help us understand the characteristics and occurrence and development regularity of hourly heavy precipitation in the Xinjiang area. Furthermore, it will also provide data support for improving the accuracy of forecast and preventing secondary meteorological disasters and the technical foundation for developing high spatial and temporal resolution precipitation products in the Central Asian region.
中文关键词	星-地联合 ; 小时降水 ; 融合 ; 新疆
英文关键词	satellite-gauge merging hourly precipitation fusion Xinjiang
类型	Article
语种	中文
收录类别	CSCD
WOS类目	Meteorology & Atmospheric Sciences
CSCD记录号	CSCD:6868854
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/353527
作者单位	卢新玉, 中国气象局乌鲁木齐沙漠气象研究所, 乌鲁木齐, 新疆 830002, 中国. 刘艳, 中国气象局乌鲁木齐沙漠气象研究所, 乌鲁木齐, 新疆 830002, 中国. 王秀琴, 中国气象局乌鲁木齐沙漠气象研究所, 乌鲁木齐, 新疆 830002, 中国. 刘晶, 中国气象局乌鲁木齐沙漠气象研究所, 乌鲁木齐, 新疆 830002, 中国. 张迎新, 中国气象局乌鲁木齐沙漠气象研究所, 乌鲁木齐, 新疆 830002, 中国. 魏鸣, 南京信息工程大学, 中国气象局气溶胶-云-降水重点开放实验室, 南京, 江苏 210044, 中国. 宋志国, 山东省沂水县气象局, 沂水, 山东 276400, 中国.
推荐引用方式 GB/T 7714	卢新玉,刘艳,王秀琴,等. 新疆地区多源降水融合试验[J],2020,37(5):1223-1232.
APA	卢新玉.,刘艳.,王秀琴.,刘晶.,魏鸣.,...&张迎新.(2020).新疆地区多源降水融合试验.干旱区研究,37(5),1223-1232.
MLA	卢新玉,et al."新疆地区多源降水融合试验".干旱区研究 37.5(2020):1223-1232.