DOI: 10.1002/2017MS000994
Scopus记录号: 2-s2.0-85022337368
论文题名: A revised radiation package of G-packed McICA and two-stream approximation: Performance evaluation in a global weather forecasting model
作者: Baek S
刊名: Journal of Advances in Modeling Earth Systems
ISSN: 19422466
出版年: 2017
卷: 9, 期: 3 起始页码: 1628
结束页码: 1640
语种: 英语
英文关键词: Errors
; Forecasting
; Forward scattering
; Parameterization
; Radiative transfer
; Systematic errors
; Discrete ordinate methods
; Global circulation model
; Integrated modeling system
; McICA
; Numerical weather forecasting
; Radiative transfer equations
; Two-stream approximation
; Weather forecasting model
; Weather forecasting
; atmospheric pressure
; numerical model
; parameterization
; performance assessment
; radiative transfer
; weather forecasting
英文摘要: For more efficient and accurate computation of radiative flux, improvements have been achieved in two aspects, integration of the radiative transfer equation over space and angle. First, the treatment of the Monte Carlo-independent column approximation (MCICA) is modified focusing on efficiency using a reduced number of random samples (“G-packed”) within a reconstructed and unified radiation package. The original McICA takes 20% of CPU time of radiation in the Global/Regional Integrated Model systems (GRIMs). The CPU time consumption of McICA is reduced by 70% without compromising accuracy. Second, parameterizations of shortwave two-stream approximations are revised to reduce errors with respect to the 16-stream discrete ordinate method. Delta-scaled two-stream approximation (TSA) is almost unanimously used in Global Circulation Model (GCM) but contains systematic errors which overestimate forward peak scattering as solar elevation decreases. These errors are alleviated by adjusting the parameterizations of each scattering element—aerosol, liquid, ice and snow cloud particles. Parameterizations are determined with 20,129 atmospheric columns of the GRIMs data and tested with 13,422 independent data columns. The result shows that the root-mean-square error (RMSE) over the all atmospheric layers is decreased by 39% on average without significant increase in computational time. Revised TSA developed and validated with a separate one-dimensional model is mounted on GRIMs for mid-term numerical weather forecasting. Monthly averaged global forecast skill scores are unchanged with revised TSA but the temperature at lower levels of the atmosphere (pressure ≥ 700 hPa) is slightly increased (< 0.5 K) with corrected atmospheric absorption. © 2017. The Authors. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/75760
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: Development Division Numerical Model Team, Korea Institute of Atmospheric Prediction Systems, Seoul, South Korea
Recommended Citation:
Baek S. A revised radiation package of G-packed McICA and two-stream approximation: Performance evaluation in a global weather forecasting model[J]. Journal of Advances in Modeling Earth Systems,2017-01-01,9(3)