DOI: 10.1002/2015MS000601
Scopus记录号: 2-s2.0-84979725527
论文题名: A parametrization of 3-D subgrid-scale clouds for conventional GCMs: Assessment using A-Train satellite data and solar radiative transfer characteristics
作者: Barker H ; W ; , Cole J ; N ; S ; , Li J ; , von Salzen K
刊名: Journal of Advances in Modeling Earth Systems
ISSN: 19422466
出版年: 2016
卷: 8, 期: 2 起始页码: 566
结束页码: 597
语种: 英语
英文关键词: Algorithms
; C (programming language)
; Climate models
; Clouds
; Radiative transfer
; Solar radiation
; Stochastic systems
; Algorithm approaches
; Global climate model
; Independent columns
; Parametrizations
; Radiative transfer model
; Solar radiative transfer
; Stochastic algorithms
; Vertical structures
; Three dimensional computer graphics
; algorithm
; assessment method
; cloud cover
; cloud water
; general circulation model
; radiative transfer
; satellite data
; solar radiation
; three-dimensional modeling
; top of atmosphere
; water content
; zenith angle
英文摘要: A stochastic algorithm for generating 3-D cloud fields based on profiles of cloud fraction (Formula presented.) and mean cloud water content is presented and assessed using cloud properties inferred from A-Train satellite data. The ultimate intention is to employ the algorithm, along with 3-D radiative transfer (RT) models, in Global Climate Models (GCMs). The algorithm approaches cloud fields as whole objects demarcated by contiguous layers with (Formula presented.). This contrasts with conventional GCM radiation routines that deal with clouds on a per-(arbitrary) layer basis. A-Train cloud data for August 2007 were partitioned into ∼29,000 domains, each ∼280 km long, to represent nominal GCM columns. For each A-Train/stochastic pair of domains, profiles of domain-averaged fluxes were computed by a 1-D broadband solar RT model in Independent Column Approximation mode. Globally averaged, mean bias error for upwelling radiation at top-of-atmosphere (TOA) is 6.8 W m−2. Upon advancing the RT model to 2-D, differences between 1-D and 2-D upwelling fluxes at TOA for A-Train domains differed from corresponding differences for model-generated domains by ∼1 W m−2, on average, with differences for the model domains exhibiting stronger dependence on solar zenith angle (Formula presented.). Moving on to 3-D RT for model domains, 1-D–3-D differences became slightly stronger functions of (Formula presented.) thanks mostly to accentuated 3-D effects at small (Formula presented.). Simple parametrizations for the stochastic algorithm's variables that govern horizontal and vertical structure of clouds should be adequate to capture the ramifications of systematic neglect of 3-D solar RT in GCMs. © 2016. The Authors and Her Majesty the Queen in Right of Canada. Reproduced with the permission of the Minister of the Environment. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/75894
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: Cloud Physics and Severe Weather Research Section, Environment and Climate Change Canada, Toronto, ON, Canada; Canadian Centre for Climate Modelling and Analysis, Environment and Climate Change Canada, Victoria, BC, Canada
Recommended Citation:
Barker H,W,, Cole J,et al. A parametrization of 3-D subgrid-scale clouds for conventional GCMs: Assessment using A-Train satellite data and solar radiative transfer characteristics[J]. Journal of Advances in Modeling Earth Systems,2016-01-01,8(2)