DOI: 10.1002/2015MS000487
Scopus记录号: 2-s2.0-84959532793
论文题名: Impact of four-dimensional data assimilation (FDDA) on urban climate analysis
作者: Pan L ; , Liu Y ; , Liu Y ; , Li L ; , Jiang Y ; , Cheng W ; , Roux G
刊名: Journal of Advances in Modeling Earth Systems
ISSN: 19422466
出版年: 2015
卷: 7, 期: 4 起始页码: 1997
结束页码: 2011
语种: 英语
英文关键词: Climatology
; Landforms
; Weather forecasting
; Weather information services
; Boundary and initial conditions
; Dynamical downscaling
; Four dimensional data assimilation (FDDA)
; Four-dimensional data assimilation
; High resolution observations
; National center for atmospheric researches
; Urbanization
; Weather research and forecasting models
; Climate models
; climate change
; data assimilation
; database
; downscaling
; four-dimensional modeling
; metropolitan area
; microclimate
; regional climate
; urban climate
; urbanization
; China
; Guangdong
; Shenzhen
英文摘要: This study investigates the impact of four-dimensional data assimilation (FDDA) on urban climate analysis, which employs the NCAR (National Center for Atmospheric Research) WRF (the weather research and forecasting model) based on climate FDDA (CFDDA) technology to develop an urban-scale microclimatology database for the Shenzhen area, a rapidly developing metropolitan located along the southern coast of China, where uniquely high-density observations, including ultrahigh-resolution surface AWS (automatic weather station) network, radio sounding, wind profilers, radiometers, and other weather observation platforms, have been installed. CFDDA is an innovative dynamical downscaling regional climate analysis system that assimilates diverse regional observations; and has been employed to produce a 5 year multiscale high-resolution microclimate analysis by assimilating high-density observations at Shenzhen area. The CFDDA system was configured with four nested-grid domains at grid sizes of 27, 9, 3, and 1 km, respectively. This research evaluates the impact of assimilating high-resolution observation data on reproducing the refining features of urban-scale circulations. Two experiments were conducted with a 5 year run using CFSR (climate forecast system reanalysis) as boundary and initial conditions: One with CFDDA and the other without. The comparisons of these two experiments with observations indicate that CFDDA greatly reduces the model analysis error and is able to realistically analyze the microscale features such as urban-rural-coastal circulation, land/sea breezes, and local-hilly terrain thermal circulations. It is demonstrated that the urbanization can produce 2.5 k differences in 2 m temperatures, delays/speeds up the land/sea breeze development, and interacts with local mountain-valley circulations. © 2015. The Authors. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/75950
Appears in Collections: 影响、适应和脆弱性 气候变化与战略
There are no files associated with this item.
作者单位: National Center for Atmospheric Research, Boulder, Colorado, United States; Meteorology Bureau of Shenzhen Municipality, Shenzhen, China
Recommended Citation:
Pan L,, Liu Y,, Liu Y,et al. Impact of four-dimensional data assimilation (FDDA) on urban climate analysis[J]. Journal of Advances in Modeling Earth Systems,2015-01-01,7(4)