中国科学院南海海洋研究所机构知识库
Advanced  
SCSIO OpenIR  > 热带海洋环境国家重点实验室(LTO)  > 期刊论文
学科主题: Meteorology & Atmospheric Sciences
题名: Application of Scale-Selective Data Assimilation to Regional Climate Modeling and Prediction
作者: Peng, S ; Xie, L ; Liu, B ; Semazzi, F
通讯作者: xie@ncsu.edu
刊名: MONTHLY WEATHER REVIEW
发表日期: 2010
卷: 138, 期:4, 页:1307-1318
收录类别: sci
部门归属: [Peng, Shiqiu; Xie, Lan; Liu, Bin; Semazzi, Fredrick] N Carolina State Univ, Dept Marine Earth & Atmospher Sci, Raleigh, NC 27695 USA; [Peng, Shiqiu] Chinese Acad Sci, S China Sea Inst Oceanol, Lab Trop Marine Environm Dynam, Guangzhou, Guangdong, Peoples R China
项目归属: LED
摘要: A method referred to as scale-selective data assimilation (SSDA) is designed to inject the large-scale components of the atmospheric circulation from a global model into a regional model to improve regional climate simulations and predictions. The SSDA is implemented through the following procedure: 1) using a low-pass filter to extract the large-scale components of the atmospheric circulation from global analysis or model forecasts; 2) applying the filter to extract the regional-scale and the large-scale components of the atmospheric circulation from the regional model simulations or forecasts; 3) assimilating the large-scale circulation obtained from the global model into the corresponding component simulated by the regional model using the method of three-dimensional variational data assimilation (3DVAR) while maintaining the small-scale components from the regional model during the assimilation cycle; 4) combining the small-scale and the assimilated large-scale components as the adjusted forecasts by the regional climate model and allowing the two components to mutually adjust outside the data assimilation cycle. A case study of summer 2005 seasonal climate hindcasting for the regions of the Atlantic and the eastern United States indicates that the large-scale components from the Global Forecast System (GFS) analysis can be effectively assimilated into the regional model using the scale-selective data assimilation method devised in this study, resulting in an improvement in the overall results from the regional climate model.
原文出处: 查看原文
WOS记录号: WOS:000278116200017
Citation statistics:
内容类型: 期刊论文
URI标识: http://ir.scsio.ac.cn/handle/344004/6295
Appears in Collections:热带海洋环境动力实验室(LTO)_期刊论文

Files in This Item: Download All
File Name/ File Size Content Type Version Access License
Application of scale-selective data assimilation to tropical cyclone track simulation .pdf(4762KB)----开放获取--View Download

Recommended Citation:
Peng, S; Xie, L; Liu, B; Semazzi, F.Application of Scale-Selective Data Assimilation to Regional Climate Modeling and Prediction,MONTHLY WEATHER REVIEW,2010,138(4):1307-1318
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Peng, S]'s Articles
[Xie, L]'s Articles
[Liu, B]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Peng, S]‘s Articles
[Xie, L]‘s Articles
[Liu, B]‘s Articles
Related Copyright Policies
Null
Social Bookmarking
Add to CiteULike Add to Connotea Add to Del.icio.us Add to Digg Add to Reddit
文件名: Application of scale-selective data assimilation to tropical cyclone track simulation .pdf
格式: Adobe PDF
所有评论 (0)
暂无评论
 
评注功能仅针对注册用户开放,请您登录
您对该条目有什么异议,请填写以下表单,管理员会尽快联系您。
内 容:
Email:  *
单位:
验证码:   刷新
您在IR的使用过程中有什么好的想法或者建议可以反馈给我们。
标 题:
 *
内 容:
Email:  *
验证码:   刷新

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.

 

 

Valid XHTML 1.0!
Copyright © 2007-2017  中国科学院南海海洋研究所 - Feedback
Powered by CSpace