Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2021GL094129 |
Effects of Climate Model Mean-State Bias on Blocking Underestimation | |
Ned Kleiner; Pak Wah Chan; Lei Wang; Ding Ma; Zhiming Kuang | |
2021-06-26 | |
发表期刊 | Geophysical Research Letters |
出版年 | 2021 |
英文摘要 | In discussions of extreme weather trends, the subject of atmospheric blocking remains an open question, in part because of the inability of climate models to accurately reproduce blocking frequency patterns for the current climate. A number of factors have been proposed to explain this failure, including specific problems with model physics and inadequate resolution. In this paper, we show that, in the case of the National Center for Atmospheric Research Community Atmosphere Model (NCAR CAM), its underestimation of blocking frequency is caused by its mean state bias and that correcting that bias increases blocking frequency estimates over Europe and decreases the root-mean-square error versus reanalysis from 0.015 to 0.011. |
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/333730 |
专题 | 气候变化 |
推荐引用方式 GB/T 7714 | Ned Kleiner,Pak Wah Chan,Lei Wang,et al. Effects of Climate Model Mean-State Bias on Blocking Underestimation[J]. Geophysical Research Letters,2021. |
APA | Ned Kleiner,Pak Wah Chan,Lei Wang,Ding Ma,&Zhiming Kuang.(2021).Effects of Climate Model Mean-State Bias on Blocking Underestimation.Geophysical Research Letters. |
MLA | Ned Kleiner,et al."Effects of Climate Model Mean-State Bias on Blocking Underestimation".Geophysical Research Letters (2021). |
条目包含的文件 | 条目无相关文件。 |
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