Climate Change Data Portal
| DOI | 10.1175/JCLI-D-20-0092.1 |
| Biases in CMIP5 sea surface temperature and the annual cycle of east African rainfall | |
| Lyon B. | |
| 发表日期 | 2020 |
| ISSN | 0894-8755 |
| 起始页码 | 8209 |
| 结束页码 | 8223 |
| 卷号 | 33期号:19 |
| 英文摘要 | In much of East Africa, climatological rainfall follows a bimodal distribution characterized by the long rains (March–May) and short rains (October–December). Most CMIP5 coupled models fail to properly simulate this annual cycle, typically reversing the amplitudes of the short and long rains relative to observations. This study investigates how CMIP5 climatological sea surface temperature (SST) biases contribute to simulation errors in the annual cycle of East African rainfall. Monthly biases in CMIP5 climatological SSTs (508S–508N) are first identified in historical runs (1979–2005) from 31 models and examined for consistency. An atmospheric general circulation model (AGCM) is then forced with observed SSTs (1979–2005) generating a set of control runs and observed SSTs plus the monthly, multimodel mean SST biases generating a set of ‘‘bias’’ runs for the same period. The control runs generally capture the observed annual cycle of East African rainfall while the bias runs capture prominent CMIP5 annual cycle biases, including too little (much) precipitation during the long rains (short rains) and a 1-month lag in the peak of the long rains relative to observations. Diagnostics reveal the annual cycle biases are associated with seasonally varying north–south- and east–west-oriented SST bias patterns in Indian Ocean and regional-scale atmospheric circulation and stability changes, the latter primarily associated with changes in low-level moist static energy. Overall, the results indicate that CMIP5 climatological SST biases are the primary driver of the improper simulation of the annual cycle of East African rainfall. Some implications for climate change projections are discussed. © 2020 American Meteorological Society. |
| 英文关键词 | Atmospheric temperature; Climate change; Climate models; Rain; Submarine geophysics; Surface properties; Surface waters; Atmospheric circulation; Atmospheric general circulation models; Bimodal distribution; Climate change projections; Coupled models; Moist static energy; Sea surface temperature (SST); Simulation error; Oceanography; annual cycle; atmospheric general circulation model; climate change; climate modeling; rainfall; sea surface temperature; East Africa; Indian Ocean |
| 语种 | 英语 |
| 来源期刊 | Journal of Climate
 |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/171093 |
| 作者单位 | Climate Change Institute, School of Earth and Climate Sciences, University of Maine, Orono, ME, United States |
| 推荐引用方式 GB/T 7714 | Lyon B.. Biases in CMIP5 sea surface temperature and the annual cycle of east African rainfall[J],2020,33(19). |
| APA | Lyon B..(2020).Biases in CMIP5 sea surface temperature and the annual cycle of east African rainfall.Journal of Climate,33(19). |
| MLA | Lyon B.."Biases in CMIP5 sea surface temperature and the annual cycle of east African rainfall".Journal of Climate 33.19(2020). |
| 条目包含的文件 | 条目无相关文件。 | |||||
| 个性服务 |
| 推荐该条目 |
| 保存到收藏夹 |
| 导出为Endnote文件 |
| 谷歌学术 |
| 谷歌学术中相似的文章 |
| [Lyon B.]的文章 |
| 百度学术 |
| 百度学术中相似的文章 |
| [Lyon B.]的文章 |
| 必应学术 |
| 必应学术中相似的文章 |
| [Lyon B.]的文章 |
| 相关权益政策 |
| 暂无数据 |
| 收藏/分享 |
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。
