DOI: 10.1016/j.atmosres.2017.11.030
Scopus记录号: 2-s2.0-85038210025
论文题名: What model resolution is required in climatological downscaling over complex terrain?
作者: El-Samra R. ; Bou-Zeid E. ; El-Fadel M.
刊名: Atmospheric Research
ISSN: 1698095
出版年: 2018
卷: 203 起始页码: 68
结束页码: 82
语种: 英语
英文关键词: High resolution dynamical downscaling
; Mesoscale modeling over complex terrain
; Regional climate model
; Weather research and forecasting model
Scopus关键词: Complex networks
; Gages
; Landforms
; Rain gages
; Weather forecasting
; Complex terrains
; Downscaling simulations
; Dynamical downscaling
; General circulation model
; Hydrometeorological variables
; Regional climate modeling
; Temperature variability
; Weather research and forecasting models
; Climate models
; climate modeling
; complex terrain
; downscaling
; general circulation model
; mesoscale meteorology
; precipitation (climatology)
; regional climate
; weather forecasting
; Mediterranean Sea
; Mediterranean Sea (East)
英文摘要: This study presents results from the Weather Research and Forecasting (WRF) model applied for climatological downscaling simulations over highly complex terrain along the Eastern Mediterranean. We sequentially downscale general circulation model results, for a mild and wet year (2003) and a hot and dry year (2010), to three local horizontal resolutions of 9, 3 and 1 km. Simulated near-surface hydrometeorological variables are compared at different time scales against data from an observational network over the study area comprising rain gauges, anemometers, and thermometers. The overall performance of WRF at 1 and 3 km horizontal resolution was satisfactory, with significant improvement over the 9 km downscaling simulation. The total yearly precipitation from WRF's 1 km and 3 km domains exhibited < 10% bias with respect to observational data. The errors in minimum and maximum temperatures were reduced by the downscaling, along with a high-quality delineation of temperature variability and extremes for both the 1 and 3 km resolution runs. Wind speeds, on the other hand, are generally overestimated for all model resolutions, in comparison with observational data, particularly on the coast (up to 50%) compared to inland stations (up to 40%). The findings therefore indicate that a 3 km resolution is sufficient for the downscaling, especially that it would allow more years and scenarios to be investigated compared to the higher 1 km resolution at the same computational effort. In addition, the results provide a quantitative measure of the potential errors for various hydrometeorological variables. © 2017 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/108947
Appears in Collections: 影响、适应和脆弱性 气候变化事实与影响
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作者单位: Department of Civil and Environmental Engineering, American University of Beirut, Beirut, Lebanon; Department of Civil and Environmental Engineering, Rakik Hariri University, Meshref, Lebanon; Department of Civil and Environmental Engineering, Princeton University, Princeton, NJ, United States
Recommended Citation:
El-Samra R.,Bou-Zeid E.,El-Fadel M.. What model resolution is required in climatological downscaling over complex terrain?[J]. Atmospheric Research,2018-01-01,203