气候变化领域集成服务门户(CCPortal): Error Analysis for an Algorithm That Reduces Radiative Transfer Calculations in High-Resolution Atmospheric Models

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DOI	10.1029/2019MS001862
	Error Analysis for an Algorithm That Reduces Radiative Transfer Calculations in High-Resolution Atmospheric Models
	Barker H.W.; Qu Z.; Cole J.N.C.
发表日期	2019
ISSN	19422466
起始页码	4576
结束页码	4596
卷号	11 期号:12
英文摘要	This study assesses characteristics of spatial and temporal errors for net (shortwave + longwave) surface irradiances and atmospheric heating rates predicted by the Partitioned-Gauss-Legendre Quadrature (PGLQ) algorithm, whose aim is to economize computation of radiative transfer (RT) in high-resolution cloud system-resolving models (CSRMs). Most results reported here are for PGLQ having made 200 times fewer calls to the RT models than the Independent Column Approximation, which applies the RT models to each column in CSRM domains. Due to the nature of GLQ, PGLQ yields almost unbiased domain averages. This is shown for data pertaining to two convective cloud systems produced by a CSRM. Relative to the Independent Column Approximation, PGLQ works with much reduced amounts of information, and so it has the potential to produce rare, but sizable, localized errors. Two methods are employed to assess the “randomness” of spatial and temporal series of PGLQ flux and heating rate errors; one of which is developed here. Regarding spatial transects of net surface irradiance errors ΔFNET, ~30–60% of them are considered by both assessment techniques, simultaneously, to be indistinguishable, at the 95% confidence level, from fully uncorrelated sequences. Correspondingly, for time series of ΔFNET (at 8-s time step), ~15–20% of 128-step series, and ~10–70% of 30-step series are considered by both methods, simultaneously, to be random. For time series of errors for net radiative heating rates, ~40% of cloudless series get classed, by both tests simultaneously, as random, compared to ~20% of those that contain some cloud. ©2019. The Authors.
语种	英语
scopus关键词	Heating rate; Radiative transfer; Time series; Assessment technique; Atmospheric heating rate; Cloud system-resolving models; Gauss Legendre quadrature; High-resolution atmospheric models; Independent columns; Radiative transfer calculations; Surface irradiance; Random errors; algorithm; atmospheric modeling; cloud; convective cloud; error analysis; heating; irradiance; radiative transfer; resolution
来源期刊	Journal of Advances in Modeling Earth Systems
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/156791
作者单位	Environment and Climate Change Canada, Toronto, ON, Canada; Environment and Climate Change Canada, Dorval, QC, Canada
推荐引用方式 GB/T 7714	Barker H.W.,Qu Z.,Cole J.N.C.. Error Analysis for an Algorithm That Reduces Radiative Transfer Calculations in High-Resolution Atmospheric Models[J],2019,11(12).
APA	Barker H.W.,Qu Z.,&Cole J.N.C..(2019).Error Analysis for an Algorithm That Reduces Radiative Transfer Calculations in High-Resolution Atmospheric Models.Journal of Advances in Modeling Earth Systems,11(12).
MLA	Barker H.W.,et al."Error Analysis for an Algorithm That Reduces Radiative Transfer Calculations in High-Resolution Atmospheric Models".Journal of Advances in Modeling Earth Systems 11.12(2019).