DOI: 10.1002/jgrd.50223
论文题名: Constrained dynamical downscaling for assessment of climate impacts
作者: Harkey M. ; Holloway T.
刊名: Journal of Geophysical Research Atmospheres
ISSN: 21698996
出版年: 2013
卷: 118, 期: 5 起始页码: 2136
结束页码: 2148
语种: 英语
英文关键词: climate
; downscaling
Scopus关键词: Air quality
; Climate change
; Conservation
; Atmospheric phenomena
; Boundary layer heights
; climate
; Climate change impact
; Down-scaling
; Dynamical downscaling
; Regional climate changes
; Weather research and forecasting models
; Weather forecasting
; boundary layer
; climate change
; climate effect
; downscaling
; panel data
; precipitation (climatology)
; regional climate
; spatial resolution
; weather forecasting
; United States
英文摘要: To assess climate change impacts on hydrology, conservation biology, and air quality, impact studies typically require future climate data with spatial resolution high enough to resolve urban-rural gradients, complex topography, and sub-synoptic atmospheric phenomena. We present here an approach to dynamical downscaling using analysis nudging, where the entire domain is constrained to coarser-resolution parent data. Here meteorology from the North American Regional Reanalysis and the North American Regional Climate Change Assessment Program data archive are used as parent data and downscaled with the Advanced Research version of the Weather Research and Forecasting model to a 12 km × 12 km horizontal resolution over the Eastern U.S. Our results show when analysis nudging is applied to all variables at all levels, mean fractional errors relative to parent data are less than 2% for maximum 2 m temperatures, less than 15% for minimum 2 m temperatures, and less than 18% for10 m wind speeds. However, the skill of representing fields that are not nudged, such as boundary layer height and precipitation, is less clear. Our results indicate that though nudging can be a useful tool for consistent, comparable studies of downscaling climate for regional and local impacts, which variables are nudged and at what levels should be carefully considered based on the climate impact(s) of study. ©2013. American Geophysical Union. All Rights Reserved. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/63868
Appears in Collections: 影响、适应和脆弱性 气候减缓与适应
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作者单位: Nelson Institute Center for Sustainability and the Global Environment (SAGE), University of Wisconsin-Madison, Madison WI, United States
Recommended Citation:
Harkey M.,Holloway T.. Constrained dynamical downscaling for assessment of climate impacts[J]. Journal of Geophysical Research Atmospheres,2013-01-01,118(5)