GSTDTAP  > 气候变化
DOI10.1175/JCLI-D-18-0045.1
Observation-Based Decomposition of Radiative Perturbations and Radiative Kernels
Thorsen, Tyler J.1; Kato, Seiji1; Loeb, Norman G.1; Rose, Fred G.2
2018-12-01
发表期刊JOURNAL OF CLIMATE
ISSN0894-8755
EISSN1520-0442
出版年2018
卷号31期号:24页码:10039-10058
文章类型Article
语种英语
国家USA
英文摘要

The Clouds and the Earth's Radiant Energy System (CERES)-partial radiative perturbation [PRP (CERES-PRP)] methodology applies partial-radiative-perturbation-like calculations to observational datasets to directly isolate the individual cloud, atmospheric, and surface property contributions to the variability of the radiation budget. The results of these calculations can further be used to construct radiative kernels. A suite of monthly mean observation-based inputs are used for the radiative transfer, including cloud properties from either the diurnally resolved passive-sensor-based CERES synoptic (SYN) data or the combination of the CloudSat cloud radar and Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) lidar. The CloudSat/CALIPSO cloud profiles are incorporated via a clustering method that obtains monthly mean cloud properties suitable for accurate radiative transfer calculations. The computed fluxes are validated using the TOA fluxes observed by CERES. Applications of the CERES-PRP methodology are demonstrated by computing the individual contributions to the variability of the radiation budget over multiple years and by deriving water vapor radiative kernels. The calculations for the former are used to show that an approximately linear decomposition of the total flux anomalies is achieved. The observation-based water vapor kernels were used to investigate the accuracy of the GCM-based NCAR CAM3.0 water vapor kernel. Differences between our observation-based kernel and the NCAR one are marginally larger than those inferred by previous comparisons among different GCM kernels.


英文关键词Radiation budgets Radiative fluxes Remote sensing Anomalies
领域气候变化
收录类别SCI-E
WOS记录号WOS:000451373500001
WOS关键词ENERGY SYSTEM CERES ; K-DISTRIBUTION METHOD ; CLIMATE FEEDBACKS ; CLOUD FEEDBACK ; ACCURATE PARAMETERIZATION ; SURFACE IRRADIANCES ; CIRRUS CLOUDS ; SATELLITE ; AEROSOLS ; MODEL
WOS类目Meteorology & Atmospheric Sciences
WOS研究方向Meteorology & Atmospheric Sciences
引用统计
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/20149
专题气候变化
作者单位1.NASA, Langley Res Ctr, Hampton, VA 23665 USA;
2.Sci Syst & Applicat Inc, Hampton, VA USA
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Thorsen, Tyler J.,Kato, Seiji,Loeb, Norman G.,et al. Observation-Based Decomposition of Radiative Perturbations and Radiative Kernels[J]. JOURNAL OF CLIMATE,2018,31(24):10039-10058.
APA Thorsen, Tyler J.,Kato, Seiji,Loeb, Norman G.,&Rose, Fred G..(2018).Observation-Based Decomposition of Radiative Perturbations and Radiative Kernels.JOURNAL OF CLIMATE,31(24),10039-10058.
MLA Thorsen, Tyler J.,et al."Observation-Based Decomposition of Radiative Perturbations and Radiative Kernels".JOURNAL OF CLIMATE 31.24(2018):10039-10058.
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