Use of the RegCM System over East Asia: Review and Perspectives

Xuejie Gao , Filippo Giorgi

Engineering ›› 2017, Vol. 3 ›› Issue (5) : 766 -772.

PDF (473KB)
Engineering ›› 2017, Vol. 3 ›› Issue (5) : 766 -772. DOI: 10.1016/J.ENG.2017.05.019
Research
Research

Use of the RegCM System over East Asia: Review and Perspectives

Author information +
History +
PDF (473KB)

Abstract

The Abdus Salam International Center for Theoretical Physics (ICTP) RegCM system is one of the most commonly used regional climate models (RCMs) over the East Asia region. In this paper, we present a brief review of the RegCM system and its applications to the East Asia region. The model history and plans for future development are described. Previous and ongoing applications, as well as the advantages and biases found in the model system over the East Asia region, are summarized. The model biases that exist are mainly found in the cold seasons, and are characterized by a warm bias at high latitudes and underestimation of precipitation in the south. These biases are similar to those of most global climate models (GCMs). Finally, future plans on the application and development of the model, and specifically on those within the context of the Coordinated Regional Climate Downscaling Experiment (CORDEX), are introduced. This paper is intended to serve as a reference for future users of the RegCM system within the East Asia region.

Keywords

Regional climate model / China / Climate change / Community land model

Cite this article

Download citation ▾
Xuejie Gao, Filippo Giorgi. Use of the RegCM System over East Asia: Review and Perspectives. Engineering, 2017, 3(5): 766-772 DOI:10.1016/J.ENG.2017.05.019

登录浏览全文

4963

注册一个新账户 忘记密码

References

Funding

()

RIGHTS & PERMISSIONS

2017 THE AUTHORS. Published by Elsevier LTD on behalf of the Chinese Academy of Engineering and Higher Education Press Limited Company. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

AI Summary AI Mindmap
PDF (473KB)

2168

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/