contributor author | Peng, Shiqiu | |
contributor author | Xie, Lian | |
contributor author | Liu, Bin | |
contributor author | Semazzi, Fredrick | |
date accessioned | 2017-06-09T16:32:13Z | |
date available | 2017-06-09T16:32:13Z | |
date copyright | 2010/04/01 | |
date issued | 2009 | |
identifier issn | 0027-0644 | |
identifier other | ams-69588.pdf | |
identifier uri | http://onlinelibrary.yabesh.ir/handle/yetl/4211273 | |
description abstract | 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. | |
publisher | American Meteorological Society | |
title | Application of Scale-Selective Data Assimilation to Regional Climate Modeling and Prediction | |
type | Journal Paper | |
journal volume | 138 | |
journal issue | 4 | |
journal title | Monthly Weather Review | |
identifier doi | 10.1175/2009MWR2974.1 | |
journal fristpage | 1307 | |
journal lastpage | 1318 | |
tree | Monthly Weather Review:;2009:;volume( 138 ):;issue: 004 | |
contenttype | Fulltext | |