globalchange  > 过去全球变化的重建
DOI: 10.1007/s00382-015-2565-6
Scopus记录号: 2-s2.0-84929710083
论文题名:
Sensitivity of systematic biases in South Asian summer monsoon simulations to regional climate model domain size and implications for downscaled regional process studies
作者: Karmacharya J.; Levine R.C.; Jones R.; Moufouma-Okia W.; New M.
刊名: Climate Dynamics
ISSN: 9307575
出版年: 2015
卷: 45, 期:2017-01-02
起始页码: 213
结束页码: 231
语种: 英语
英文关键词: Domain size ; Regional climate model ; South Asian summer monsoon ; Systematic bias
英文摘要: Global climate models (GCMs) have good skill in simulating climate at the global scale yet they show significant systematic errors at regional scale. For example, many GCMs exhibit significant biases in South Asian summer monsoon (SASM) simulations. Those errors not only limit application of such GCM output in driving regional climate models (RCMs) over these regions but also raise questions on the usefulness of RCMs derived from those GCMs. We focus on process studies where the RCM is driven by realistic lateral boundary conditions from atmospheric re-analysis which prevents remote systematic errors from influencing the regional simulation. In this context it is pertinent to investigate whether RCMs also suffer from similar errors when run over regions where their parent models show large systematic errors. Furthermore, the general sensitivity of the RCM simulation to domain size is informative in understanding remote drivers of systematic errors in the GCM and in choosing a suitable RCM domain that minimizes those errors. We investigate Met Office Unified Model systematic errors in SASM by comparing global and regional model simulations with targeted changes to the domain and forced with atmospheric re-analysis. We show that excluding remote drivers of systematic errors from the direct area of interest allows the application of RCMs for process studies of the SASM, despite the large errors in the parent global model. The findings in this study are also relevant to other models, many of which suffer from a similar pattern of systematic errors in global model simulations of the SASM. © 2015, Springer-Verlag Berlin Heidelberg.
Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/54094
Appears in Collections:过去全球变化的重建

Files in This Item:

There are no files associated with this item.


作者单位: School of Geography and the Environment, University of Oxford, Oxford, United Kingdom; Department of Hydrology and Meteorology, Kathmandu, Nepal; Met Office Hadley Centre, Exeter, United Kingdom; African Climate and Development Initiative, University of Cape Town, Cape Town, South Africa

Recommended Citation:
Karmacharya J.,Levine R.C.,Jones R.,et al. Sensitivity of systematic biases in South Asian summer monsoon simulations to regional climate model domain size and implications for downscaled regional process studies[J]. Climate Dynamics,2015-01-01,45(2017-01-02)
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Karmacharya J.]'s Articles
[Levine R.C.]'s Articles
[Jones R.]'s Articles
百度学术
Similar articles in Baidu Scholar
[Karmacharya J.]'s Articles
[Levine R.C.]'s Articles
[Jones R.]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Karmacharya J.]‘s Articles
[Levine R.C.]‘s Articles
[Jones R.]‘s Articles
Related Copyright Policies
Null
收藏/分享
所有评论 (0)
暂无评论
 

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.