Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1175/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
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ISSN | 0894-8755 |
EISSN | 1520-0442 |
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 |
推荐引用方式 GB/T 7714 | 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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