Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2019GL085190 |
Discovering the Importance of Mesoscale Cloud Organization Through Unsupervised Classification | |
Denby, L. | |
2020-01-16 | |
发表期刊 | GEOPHYSICAL RESEARCH LETTERS
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ISSN | 0094-8276 |
EISSN | 1944-8007 |
出版年 | 2020 |
卷号 | 47期号:1 |
文章类型 | Article |
语种 | 英语 |
国家 | England |
英文摘要 | The representation of shallow trade wind convective clouds in climate models dominates the uncertainty in climate sensitivity estimates. In particular the radiative impact of cloud spatial organization is poorly understood. This work presents the first unsupervised neural network model which autonomously discovers cloud organization regimes in satellite images. Trained on 10,000 GOES-16 satellite images (tropical Atlantic and boreal winter) the regimes found are shown to exist in a hierarchy of organizational scales, with sub-clusters having distinct radiative properties. The model requires no time-consuming and subjective hand-labeled data based on predefined structures allowing for objective study of very large data sets. The model enables the study of environmental conditions in different organizational regimes and in transitions between regimes and objective comparisons of model behavior with observations through cloud structures emerging in both. These abilities enable the discovery of previously unknown physical relationships in cloud processes, enabling better representation of clouds in weather and climate simulations. |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000513983400007 |
WOS关键词 | CLIMATE SENSITIVITY ; CONVECTION |
WOS类目 | Geosciences, Multidisciplinary |
WOS研究方向 | Geology |
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/279477 |
专题 | 气候变化 |
作者单位 | Univ Leeds, Sch Earth & Environm, Leeds, W Yorkshire, England |
推荐引用方式 GB/T 7714 | Denby, L.. Discovering the Importance of Mesoscale Cloud Organization Through Unsupervised Classification[J]. GEOPHYSICAL RESEARCH LETTERS,2020,47(1). |
APA | Denby, L..(2020).Discovering the Importance of Mesoscale Cloud Organization Through Unsupervised Classification.GEOPHYSICAL RESEARCH LETTERS,47(1). |
MLA | Denby, L.."Discovering the Importance of Mesoscale Cloud Organization Through Unsupervised Classification".GEOPHYSICAL RESEARCH LETTERS 47.1(2020). |
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