Role of Strong Sea Surface Temperature Diurnal Variation in Triggering the Summer Monsoon Onset Over the Bay of Bengal in a Climate Model

被引:1
作者
Song, Yajuan [1 ,2 ,3 ]
Yang, Xiaodan [1 ,2 ,3 ]
Bao, Ying [1 ,2 ,3 ]
Qiao, Fangli [1 ,2 ,3 ]
Song, Zhenya [1 ,2 ,3 ]
机构
[1] Minist Nat Resources, Inst Oceanog 1, Key Lab Marine Sci & Numer Modeling, Qingdao, Peoples R China
[2] Qingdao Marine Sci & Technol Ctr, Lab Reg Oceanog & Numer Modeling, Qingdao, Peoples R China
[3] Shandong Key Lab Marine Sci & Numer Modeling, Qingdao, Peoples R China
基金
中国国家自然科学基金; 国家重点研发计划;
关键词
monsoon onset; SST diurnal variation; climate model; INTERANNUAL VARIABILITY; ENSO;
D O I
10.1029/2023GL108015
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
The earliest Asian summer monsoon onset (SMO) occurs in the Bay of Bengal (BoB), heralding the coming of the rainy season. In late April or early May, the strong sea surface temperature (SST) diurnal variation accompanied by ocean surface warming triggers the SMO. However, this observed diurnal cycle intensity cannot be reasonably simulated by state-of-the-art climate models, resulting in a spurious delayed SMO. To address this issue, the SST diurnal cycle parameterized by a diagnostic sublayer scheme was incorporated into a climate model named FIO-ESM v2.0. The large diurnal amplitude of SST contributes to surface warming and changes atmospheric circulation. Consequently, the high-pressure anomaly at high levels and an inverted trough at low levels promote more convective activity, triggering an earlier SMO. Our findings improve the ability of climate models in simulating the evolution of the Asian monsoon system. Asian summer monsoon onset (SMO) accompanied by the coming of the rainy season has a significant impact on the lives and livelihoods of more than half of the world's population. However, state-of-the-art climate models struggle to capture the major features of SMO accurately. The simulated diurnal amplitude of sea surface temperature (SST) is much smaller compared with observation, resulting in a cold bias in SST and a delayed SMO in the Bay of Bengal (BoB). Here, we incorporated a diagnostic sublayer parameterization into the climate model to account for the effect of a strong diurnal cycle. The SST in the BoB increases, and more convective activities are promoted in response to the warmer underlying surface. Changes in monsoon circulation create favorable environmental conditions for an advanced SMO. Considering the effect of strong diurnal variation provides a solution to reduce common biases of the climate model in simulating SMO. The spurious delayed Asian summer monsoon onset (SMO) is improved by including the effect of large sea surface temperature (SST) diurnal amplitude in a climate model Strong diurnal variation of SST contributes to upper ocean warming in the Bay of Bengal before the Asian SMO Large-scale circulation with favorable conditions for convection activity in response to ocean warming triggers an advanced monsoon onset
引用
收藏
页数:9
相关论文
共 52 条
[1]   FIO-ESM Version 2.0: Model Description and Evaluation [J].
Bao, Ying ;
Song, Zhenya ;
Qiao, Fangli .
JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 2020, 125 (06)
[2]   Impact of resolving the diurnal cycle in an ocean-atmosphere GCM. Part 2: A diurnally coupled CGCM [J].
Bernie, D. J. ;
Guilyardi, E. ;
Madec, G. ;
Slingo, J. M. ;
Woolnough, S. J. ;
Cole, J. .
CLIMATE DYNAMICS, 2008, 31 (7-8) :909-925
[3]   Modeling diurnal and intraseasonal variability of the ocean mixed layer [J].
Bernie, DJ ;
Woolnough, SJ ;
Slingo, JM ;
Guilyardi, E .
JOURNAL OF CLIMATE, 2005, 18 (08) :1190-1202
[4]  
Branstetter M.L., 2001, Development of a parallel river transport algorithm and applications to climate studies
[5]  
CHELLIAH M, 1992, J CLIMATE, V5, P371, DOI 10.1175/1520-0442(1992)005<0371:LSIVOM>2.0.CO
[6]  
2
[7]   A new flexible coupler for earth system modeling developed for CCSM4 and CESM1 [J].
Craig, Anthony P. ;
Vertenstein, Mariana ;
Jacob, Robert .
INTERNATIONAL JOURNAL OF HIGH PERFORMANCE COMPUTING APPLICATIONS, 2012, 26 (01) :31-42
[8]   General circulation models for rainfall simulations: Performance assessment using complex networks [J].
Deepthi, B. ;
Sivakumar, Bellie .
ATMOSPHERIC RESEARCH, 2022, 278
[9]   CMIP5 model-simulated onset, duration and intensity of the Asian summer monsoon in current and future climate [J].
Dong, Guangtao ;
Zhang, H. ;
Moise, A. ;
Hanson, L. ;
Liang, P. ;
Ye, H. .
CLIMATE DYNAMICS, 2016, 46 (1-2) :355-382
[10]   Overview of the Coupled Model Intercomparison Project Phase 6 (CMIP6) experimental design and organization [J].
Eyring, Veronika ;
Bony, Sandrine ;
Meehl, Gerald A. ;
Senior, Catherine A. ;
Stevens, Bjorn ;
Stouffer, Ronald J. ;
Taylor, Karl E. .
GEOSCIENTIFIC MODEL DEVELOPMENT, 2016, 9 (05) :1937-1958