DOI: 10.1016/j.atmosenv.2017.09.008
Scopus记录号: 2-s2.0-85029669799
论文题名: Evaluation of a multi-scale WRF-CAM5 simulation during the 2010 East Asian Summer Monsoon
作者: Campbell P ; , Zhang Y ; , Wang K ; , Leung R ; , Fan J ; , Zheng B ; , Zhang Q ; , He K
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2017
卷: 169 起始页码: 204
结束页码: 217
语种: 英语
英文关键词: East Asian Summer Monsoon
; Evaluation
; Multiple nested
; Online-coupled
; WRF-CAM5
Scopus关键词: Aerosols
; Atmospheric aerosols
; Atmospheric chemistry
; Atmospheric thermodynamics
; Climate models
; Forecasting
; Probability density function
; Weather forecasting
; East Asian summer monsoon
; Evaluation
; Multiple nested
; Online-coupled
; WRF-CAM5
; Precipitation (meteorology)
; rain
; climate modeling
; concentration (composition)
; error analysis
; monsoon
; observational method
; performance assessment
; precipitation (climatology)
; prediction
; probability density function
; spatiotemporal analysis
; summer
; aerosol
; Article
; Asia
; atmosphere
; China
; climate
; cloud
; density
; model
; Monsoon
; precipitation
; prediction
; prediction and forecasting
; priority journal
; probability
; river
; season
; simulation
; summer
; surface property
; weather
; China
; Yangtze River
Scopus学科分类: Environmental Science: Water Science and Technology
; Earth and Planetary Sciences: Earth-Surface Processes
; Environmental Science: Environmental Chemistry
英文摘要: The Weather Research and Forecasting model with Chemistry (WRF-Chem) with the physics package of the Community Atmosphere Model Version 5 (CAM5) has been applied at multiple scales over Eastern China (EC) and the Yangtze River Delta (YRD) to evaluate how increased horizontal resolution with physics designed for a coarser resolution climate model impacts aerosols and clouds, and the resulting precipitation characteristics and performance during the 2010 East Asian Summer Monsoon (EASM). Despite large underpredictions in surface aerosol concentrations and aerosol optical depth, there is good spatial agreement with surface observations of chemical predictions, and increasing spatial resolution tends to improve performance. Model bias and normalized root mean square values for precipitation predictions are relatively small, but there are significant differences when comparing modeled and observed probability density functions for precipitation in EC and YRD. Increasing model horizontal resolution tends to reduce model bias and error for precipitation predictions. The surface and column aerosol loading is maximized between about 32°N and 42°N in early to mid-May during the 2010 EASM, and then shifts north while decreasing in magnitude during July and August. Changing model resolution moderately changes the spatiotemporal relationships between aerosols, cloud properties, and precipitation during the EASM, thus demonstrating the importance of model grid resolution in simulating EASM circulation and rainfall patterns over EC and the YRD. Results from this work demonstrate the capability and limitations in the aerosol, cloud, and precipitation representation of WRF-CAM5 for regional-scale applications down to relatively fine horizontal resolutions. Further WRF-CAM5 model development and application in this area is needed. © 2017 Elsevier Ltd Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/82399
Appears in Collections: 气候变化事实与影响
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作者单位: Department of Marine, Earth, and Atmospheric Sciences, NCSU, Raleigh, NC, United States; Atmospheric Sciences and Global Change Division, Pacific Northwest National Laboratory, Richland, WA, United States; State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, China; Ministry of Education Key Laboratory for Earth System Modeling, Center for Earth System Science, Tsinghua University, Beijing, China; Collaborative Innovation Center for Regional Environmental Quality, Beijing, China
Recommended Citation:
Campbell P,, Zhang Y,, Wang K,et al. Evaluation of a multi-scale WRF-CAM5 simulation during the 2010 East Asian Summer Monsoon[J]. Atmospheric Environment,2017-01-01,169