Evaluation of mixed layer depth in the northern indian ocean simulated by CMIP5 climate models

Title
Evaluation of mixed layer depth in the northern indian ocean simulated by CMIP5 climate models
Author(s)
Muhammad Yusuf Musabbiq; 장찬주; 김민우; 김철호
KIOST Author(s)
Jang, Chan Joo(장찬주)Kim, Minwoo(김민우)
Publication Year
2018-11-01
Abstract
In this study, we examine the mixed layer depth (MLD) simulated by 19 CMIP5 models in order to find the underlying bias dynamics that might lead to inaccurate climate prediction over the northern Indian Ocean (NIO). The relationship of MLDwith related variables showed that cold surface air temperature bias accompanied by north-easterly winds from the landmass northern of the Arabian Sea plays an important role on the bias development. This cold bias leads to more intense surface cooling over the NAS in winter, indicated by overestimation of wind stress and evaporation, and the underestimation of sea surface temperature, air surface temperature, and net heat flux which are favourable for MLD deepening. Our findings suggest that improvements in atmospheric forcing parameterization of CMIP5 models, especially surface air temperature bias, may have a significant impact to reduce the deep MLD bias over the NAS.
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/22934
Bibliographic Citation
PICES 2018 annual meeting, pp.231, 2018
Publisher
PICES
Type
Conference
Language
English
Publisher
PICES
Related Researcher
Research Interests

Ocean Modeling,Ocean Data Management,해양모형운용,해양자료처리

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