Subtropical Impact on the Tropical Double-ITCZ Bias in the GFDL CM2.1 Model

Author:

Liu Tianying12ORCID,Liu Zhengyu3,Zhao Yuchu3,Zhang Shaoqing24

Affiliation:

1. a Department of Atmospheric and Oceanic Sciences, Peking University, Beijing, China

2. b Open Studio for Ocean-Climate-Isotope Modeling, Pilot National Laboratory for Marine Science and Technology (Qingdao), Qingdao, China

3. c Atmospheric Science Program, Department of Geography, The Ohio State University, Columbus, Ohio

4. d Key Laboratory of Physical Oceanography, College of Oceanic and Atmospheric Sciences, Ocean University of China, Qingdao, China

Abstract

Abstract The double–intertropical convergence zone (ITCZ) bias has been an outstanding problem among climate models for two decades. However, it remains unclear how much of this tropical bias is attributed to the extratropics and tropics itself, respectively. Applying the regional data assimilation (RDA) method, we follow up a previous study with a more advanced model of GFDL CM2.1 to quantify the influence of extratropical atmosphere on the double-ITCZ bias. Our study reveals that this tropical bias is influenced to a large extent by the extratropics between 20° and 30°, with little impact from the extratropics poleward of 30°. This vital role of subtropics in the double-ITCZ bias is likely determined by the meridional extent of Hadley circulation from zonal-mean perspective. Besides, the vital role of subtropics is also supported by wind–evaporation–SST feedback in the subtropical southeastern Pacific from a regional perspective.

Funder

Key Technologies Research and Development Program

National Science Foundation

Publisher

American Meteorological Society

Subject

Atmospheric Science

Reference90 articles.

1. Relation of the double-ITCZ bias to the atmospheric energy budget in climate models;Adam, O.,2016

2. The North Pacific pacemaker effect on historical ENSO and its mechanisms;Amaya, D. J.,2019

3. An ensemble adjustment Kalman filter for data assimilation;Anderson, J. L.,2001

4. A local least squares framework for ensemble filtering;Anderson, J. L.,2003

5. AGCM precipitation biases in the tropical Atlantic;Biasutti, M.,2006

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3