Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2018JD029223 |
Estimating Climate Feedbacks Using a Neural Network | |
Zhu, Tingting1,2; Huang, Yi2; Wei, Haikun1 | |
2019-03-27 | |
发表期刊 | JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
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ISSN | 2169-897X |
EISSN | 2169-8996 |
出版年 | 2019 |
卷号 | 124期号:6页码:3246-3258 |
文章类型 | Article |
语种 | 英语 |
国家 | Peoples R China; Canada |
英文摘要 | A nonlinear method has been developed to estimate climate feedbacks based on the Neural Network (NN) taking advantage of its self-learning skills. The NN model developed here is trained using a reanalysis data set and predicts radiation flux globally from atmospheric and surface variables. The radiative feedbacks of temperature, water vapor, surface albedo, and cloud in the interannual climate variations estimated from the NN method are in agreement with those from a broadly used kernel method. However, the NN method demonstrates significant advantages: (1) it withdraws the linearity assumption of the kernel method and accounts for the nonlinear effects of the feedbacks. In the case of large climate perturbations, such as that in the Arctic caused by sea ice melt, the NN method achieves better radiation closure. (2) The method can directly calculate the radiative feedback of cloud and its components. We find that the high, middle, and low cloud feedback components analyzed from the NN method are linearly additive in the interannual climate variations, although there is a considerable nonlinear effect arising from the interactions between cloud and noncloud variables. |
英文关键词 | climate feedback neural network nonlinearity cloud feedback |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000464653500024 |
WOS关键词 | CLOUD FEEDBACK ; WATER-VAPOR |
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/181724 |
专题 | 气候变化 |
作者单位 | 1.Southeast Univ, Sch Automat, Key Lab Measurement & Control CSE, Minist Educ, Nanjing, Jiangsu, Peoples R China; 2.McGill Univ, Dept Atmospher & Ocean Sci, Montreal, PQ, Canada |
推荐引用方式 GB/T 7714 | Zhu, Tingting,Huang, Yi,Wei, Haikun. Estimating Climate Feedbacks Using a Neural Network[J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,2019,124(6):3246-3258. |
APA | Zhu, Tingting,Huang, Yi,&Wei, Haikun.(2019).Estimating Climate Feedbacks Using a Neural Network.JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,124(6),3246-3258. |
MLA | Zhu, Tingting,et al."Estimating Climate Feedbacks Using a Neural Network".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES 124.6(2019):3246-3258. |
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