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DOI | 10.1175/JCLI-D-19-0189.1 |
A Systematic Approach to Assessing the Sources and Global Impacts of Errors in Climate Models | |
Schubert, S. D.1,2; Chang, Y.1,3; Wang, H.2; Koster, R. D.1; Molod, A. M.1 | |
2019-12-01 | |
发表期刊 | JOURNAL OF CLIMATE |
ISSN | 0894-8755 |
EISSN | 1520-0442 |
出版年 | 2019 |
卷号 | 32期号:23页码:8301-8321 |
文章类型 | Article |
语种 | 英语 |
国家 | USA |
英文摘要 | We outline a framework for identifying the geographical sources of biases in climate models. By forcing the model with time-averaged short-term analysis increments [tendency bias corrections (TBCs)] over well-defined regions, we can quantify how the associated reduced tendency errors in these regions manifest themselves both locally and remotely through large-scale teleconnections. Companion experiments in which the model is fully corrected [constrained to remain close to the analysis at each time step, termed replay (RPL)] in the various regions provide an upper bound to the local and remote TBC impacts. An example is given based on MERRA-2 and the NASA/GMAO GEOS AGCM used to generate MERRA-2. The results highlight the ability of the approach to isolate the geographical sources of some of the long-standing boreal summer biases of the GEOS model, including a stunted North Pacific summer jet, a dry bias in the U.S. Great Plains, and a warm bias over most of the Northern Hemisphere land. In particular, we show that the TBC over a region that encompasses Tibet has by far the largest impact (compared with all other regions) on the NH summer jets and related variables, leading to significant improvements in the simulation of North American temperature and, to a lesser degree, precipitation. It is further shown that the results of the regional TBC experiments are for the most part linear in the summer hemisphere, allowing a robust interpretation of the results. |
英文关键词 | Bias Climate models Model errors Reanalysis data |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000496297200001 |
WOS关键词 | NORTHERN ; DIAGNOSIS ; TRANSPORT ; BIAS |
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/225642 |
专题 | 环境与发展全球科技态势 |
作者单位 | 1.NASA, GSFC, Global Modeling & Assimilat Off, Greenbelt, MD 20771 USA; 2.Sci Syst & Applicat Inc, Lanham, MD 20706 USA; 3.Morgan State Univ, Goddard Earth Sci Technol & Res, Baltimore, MD 21239 USA |
推荐引用方式 GB/T 7714 | Schubert, S. D.,Chang, Y.,Wang, H.,et al. A Systematic Approach to Assessing the Sources and Global Impacts of Errors in Climate Models[J]. JOURNAL OF CLIMATE,2019,32(23):8301-8321. |
APA | Schubert, S. D.,Chang, Y.,Wang, H.,Koster, R. D.,&Molod, A. M..(2019).A Systematic Approach to Assessing the Sources and Global Impacts of Errors in Climate Models.JOURNAL OF CLIMATE,32(23),8301-8321. |
MLA | Schubert, S. D.,et al."A Systematic Approach to Assessing the Sources and Global Impacts of Errors in Climate Models".JOURNAL OF CLIMATE 32.23(2019):8301-8321. |
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