DOI: 10.1002/2014MS000360
Scopus记录号: 2-s2.0-84928789260
论文题名: Decadal simulation and comprehensive evaluation of CESM/CAM5.1 with advanced chemistry, aerosol microphysics, and aerosol-cloud interactions
作者: He J ; , Zhang Y ; , Glotfelty T ; , He R ; , Bennartz R ; , Rausch J ; , Sartelet K
刊名: Journal of Advances in Modeling Earth Systems
ISSN: 19422466
出版年: 2015
卷: 7, 期: 1 起始页码: 110
结束页码: 141
语种: 英语
英文关键词: Aerosols
; Atmospheric aerosols
; Biogeochemistry
; Chlorine
; Climate models
; Climatology
; Earth (planet)
; Earth atmosphere
; Forecasting
; Gas emissions
; Organic carbon
; Particulate emissions
; Sea ice
; Aerosol-cloud interaction
; CESM/CAM5.1
; Cloud droplet number concentrations
; Coupled Model Intercomparison Project
; decadal application and evaluation
; Microphysics
; Secondary organic aerosols
; Tropospheric ozone residuals
; Atmospheric chemistry
; aerosol
; ammonia
; anthropogenic source
; atmospheric chemistry
; atmospheric pollution
; decadal variation
; emission
; gas
; global climate
; numerical model
; oxide
; prediction
; shortwave radiation
; temperature effect
; water vapor
英文摘要: Earth system models have been used for climate predictions in recent years due to their capabilities to include biogeochemical cycles, human impacts, as well as coupled and interactive representations of Earth system components (e.g., atmosphere, ocean, land, and sea ice). In this work, the Community Earth System Model (CESM) with advanced chemistry and aerosol treatments, referred to as CESM-NCSU, is applied for decadal (2001-2010) global climate predictions. A comprehensive evaluation is performed focusing on the atmospheric component - the Community Atmosphere Model version 5.1 (CAM5.1) by comparing simulation results with observations/reanalysis data and CESM ensemble simulations from the Coupled Model Intercomparison Project phase 5 (CMIP5). The improved model can predict most meteorological and radiative variables relatively well with normalized mean biases (NMBs) of -14.1 to -9.7% and 0.7-10.8%, respectively, although temperature at 2 m (T2) is slightly underpredicted. Cloud variables such as cloud fraction (CF) and precipitating water vapor (PWV) are well predicted, with NMBs of -10.5 to 0.4%, whereas cloud condensation nuclei (CCN), cloud liquid water path (LWP), and cloud optical thickness (COT) are moderately-to-largely underpredicted, with NMBs of -82.2 to -31.2%, and cloud droplet number concentration (CDNC) is overpredictd by 26.7%. These biases indicate the limitations and uncertainties associated with cloud microphysics (e.g., resolved clouds and subgrid-scale cumulus clouds). Chemical concentrations over the continental U.S. (CONUS) (e.g., SO42-, Cl-, OC, and PM2.5) are reasonably well predicted with NMBs of -12.8 to -1.18%. Concentrations of SO2, SO42-, and PM10 are also reasonably well predicted over Europe with NMBs of -20.8 to -5.2%, so are predictions of SO2 concentrations over the East Asia with an NMB of -18.2%, and the tropospheric ozone residual (TOR) over the globe with an NMB of -3.5%. Most meteorological and radiative variables predicted by CESM-NCSU agree well overall with those predicted by CESM-CMIP5. The performance of LWP and AOD predicted by CESM-NCSU is better than that of CESM-CMIP5 in terms of model bias and correlation coefficients. Large biases for some chemical predictions can be attributed to uncertainties in the emissions of precursor gases (e.g., SO2, NH3, and NOx) and primary aerosols (black carbon and primary organic matter) as well as uncertainties in formulations of some model components (e.g., online dust and sea-salt emissions, secondary organic aerosol formation, and cloud microphysics). Comparisons of CESM simulation with baseline emissions and 20% of anthropogenic emissions from the baseline emissions indicate that anthropogenic gas and aerosol species can decrease downwelling shortwave radiation (FSDS) by 4.7 W m-2 (or by 2.9%) and increase SWCF by 3.2 W m-2 (or by 3.1%) in the global mean. © 2015. The Authors. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/76010
Appears in Collections: 影响、适应和脆弱性 气候变化与战略
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作者单位: Department of Marine, Earth, and Atmospheric Sciences, North Carolina State University, Raleigh, NC, United States; Department of Earth and Environmental Sciences, Vanderbilt University, Nashville, TN, United States; Department of Space Science and Engineering Center, University of Wisconsin-Madison, Madison, WI, United States; Department of Atmospheric and Oceanic Sciences, University of Wisconsin-Madison, Madison, WI, United States; CEREA (Atmospheric Environment Center), Joint Laboratory École des Ponts ParisTech and EDF R and D, Université Paris-Est, Marne-la-Vallée, France
Recommended Citation:
He J,, Zhang Y,, Glotfelty T,et al. Decadal simulation and comprehensive evaluation of CESM/CAM5.1 with advanced chemistry, aerosol microphysics, and aerosol-cloud interactions[J]. Journal of Advances in Modeling Earth Systems,2015-01-01,7(1)