Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2020GL092026 |
Using large ensembles to identify regions of systematic biases in moderate to heavy daily precipitation | |
N. Goldenson; C. Thackeray; A. Hall; D.L. Swain; N. Berg | |
2021-04-18 | |
发表期刊 | Geophysical Research Letters |
出版年 | 2021 |
英文摘要 | Because of internal variability in both the real world and global climate models, it is unclear whether disagreement between models and observations reflects true systematic differences, or different phasing of internal variability in the short observational period. Here we address this issue through examination of moderate to heavy precipitation in large ensembles of global climate models. We find that model inconsistency with a global observational product is lowest for extratropical precipitation in northern hemisphere winter. The inconsistency is systematically greater for the southern hemisphere winter, but the difference between hemispheres could be due to observational quality. Moderate to heavy extratropical winter precipitation is less inconsistent than moderate to heavy tropical precipitation in most models. Within the tropics, moderate to heavy precipitation is particularly inconsistent with the reference in regions including the Caribbean (esp. during JJA), the northern and southern flanks of the Pacific and Atlantic ITCZ, and the Indian Ocean. |
领域 | 气候变化 |
URL | 查看原文 |
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/322803 |
专题 | 气候变化 |
推荐引用方式 GB/T 7714 | N. Goldenson,C. Thackeray,A. Hall,et al. Using large ensembles to identify regions of systematic biases in moderate to heavy daily precipitation[J]. Geophysical Research Letters,2021. |
APA | N. Goldenson,C. Thackeray,A. Hall,D.L. Swain,&N. Berg.(2021).Using large ensembles to identify regions of systematic biases in moderate to heavy daily precipitation.Geophysical Research Letters. |
MLA | N. Goldenson,et al."Using large ensembles to identify regions of systematic biases in moderate to heavy daily precipitation".Geophysical Research Letters (2021). |
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