DOI: 10.1175/JCLI-D-17-0191.1
Scopus记录号: 2-s2.0-85049742963
论文题名: Modeling the dynamic vegetation-climate system over China using a coupled Regional Model
作者: Shi Y. ; Yu M. ; Erfanian A. ; Wang G.
刊名: Journal of Climate
ISSN: 8948755
出版年: 2018
卷: 31, 期: 15 起始页码: 6027
结束页码: 6049
语种: 英语
英文关键词: Coupled models
; Interannual variability
; Model evaluation/performance
; Regional models
; Vegetation-atmosphere interactions
Scopus关键词: Climate change
; Evaporation
; Evaporative cooling systems
; Rain
; Solar radiation
; Vegetation
; Coupled models
; Interannual variability
; Model evaluation/performance
; Regional model
; Vegetation-atmosphere interactions
; Climate models
; air temperature
; annual variation
; atmosphere-biosphere interaction
; boundary condition
; climate modeling
; regional climate
; spatial distribution
; vegetation cover
; China
英文摘要: Using the Regional Climate Model (RegCM) coupled with the Community Land Model (CLM) including modules of carbon-nitrogen cycling (CN) and vegetation dynamics (DV), this study evaluates the performance of the model with different capacity of representing vegetation processes in simulating the present-day climate over China based on three 21-yr simulations driven with boundary conditions from the ERA-Interim reanalysis data during 1989-2009. For each plant functional type (PFT), the plant pheonology, density, and fractional coverage in RegCM-CLM are all prescribed as static from year to year; RegCM-CLM-CN prescribes static fractional coverage but predicts plant phenology and density, and RegCM-CLM-CN-DV predicts plant phenology, density, and fractional coverage. Compared against the observational data, all three simulations reproduce the present-day climate well, including the wind fields, temperature and precipitation seasonal cycles, extremes, and interannual variabilities. Relative to RegCM-CLM, both RegCM-CLM-CN and RegCM-CLM-CN-DV perform better in simulating the interannual variability of temperature and spatial distribution of mean precipitation, but produce larger biases in the mean temperature field. RegCM-CLM-CN overestimates leaf area index (LAI), which enhances the cold biases and alleviates the dry biases found in RegCM-CLM. RegCM-CLM-CN-DV underestimates vegetation cover and/or stature, and hence overestimates surface albedo, which enhances the wintertime cold and dry biases found in RegM-CLM. During summer, RegCM-CLM-CN-DV overestimates LAI in south and east China, which enhances the cold biases through increased evaporative cooling; in the west where evaporation is low, the albedo effect of the underestimated vegetation cover is still dominant, leading to enhanced cold biases relative to RegCM-CLM. © 2018 American Meteorological Society. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/111455
Appears in Collections: 气候减缓与适应
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作者单位: National Climate Center, China Meteorological Administration, Beijing, China; Department of Civil and Environmental Engineering, Center for Environmental Sciences and Engineering, University of Connecticut, Storrs, CT, United States; Key Laboratory of Meteorological Disaster of Ministry of Education, Nanjing University of Information Science Technology, Nanjing, China; International Joint Laboratory on Climate and Environment Change, Nanjing University of Information Science Technology, Nanjing, China
Recommended Citation:
Shi Y.,Yu M.,Erfanian A.,et al. Modeling the dynamic vegetation-climate system over China using a coupled Regional Model[J]. Journal of Climate,2018-01-01,31(15)