检索结果-南通市图书馆

Refined Spatialization of 10-day precipitation in China Based on GPM IMERG Data and Terrain Decomposition Using the BEMD Algorithm

引用

Journal of Meteorological Research 2023年第5期37卷 690-709页

作者： Xiaochen ZHU Qiangyu LI Yan ZENG Guanjie JIAO Wenya GU Xinfa QIU Ailifeire WUMAER School of Applied Meteorology Nanjing University of Information Science&TechnologyNanjing 210044 Key Laboratory of Transportation Meteorology China Meteorological AdministrationNanjing 210041 Jiangsu Institute of Meteorological Sciences Nanjing 210041 Nanjing Joint Institute for Atmospheric Sciences Nanjing 210041 School of Environmental Science and Engineering Nanjing University of Information Science&TechnologyNanjing 210044 School of Mathematics and Statistics Nanjing University of Information Science&TechnologyNanjing 210044 School of Geographical Sciences Nanjing University of Information Science&TechnologyNanjing 210044

Continuous high spatial-resolution 10-day precipitation data are essential for crop growth services and phenological *** this study,we first use the bidimensional empirical mode decomposition(BEMD)algorithm to decompose the digital elevation model(DEM)data and obtain high-frequency(OR3),intermediate-frequency(OR5),and low-frequency(OR8)margin ***,we propose a refined precipitation spatialization model,which uses ground-based meteorological observation data,integrated multi-satellite retrievals for global precipitation measurement(GPM IMERG)satellite precipitation products,DEM data,terrain decomposition data,prevailing precipitation direction(PPD)data,and other multisource data,to construct China's high-resolution 10-day precipitation data from2001 to *** decomposition results show mountainous terrain from fine to coarse scales;and the influences of altitude,slope,and aspect on precipitation are better represented in the model after topography is ***,terrain decomposition data can be added to the model simulation to improve the quality of the simulation product;the simulation quality of the model in summer is better than that in spring and autumn,and is relatively poor in winter;and OR5 and OR8 can be improved in the simulation,with better OR5 and OR8 dynamically *** addition,preprocessing the data before precipitation spatialization is particularly *** example,adding 0.01to the 0 value of precipitation,multiplying the small value of precipitation less than 1 by 10,and performing the normal distributions transform(e.g.,Yeo–Johnson)on the data can improve the simulation quality.

关键词： bidimensional empirical mode decomposition(BEMD)algorithm 10-day precipitation terrain decomposition digital elevation model(DEM) integrated multi-satellite retrievals for global precipitation measurement(GPM IMERG)

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：