

FOLLOWUS
1.State Key Laboratory of Tropical Oceanography & Key Laboratory of Science and Technology on Operational Oceanography, South China Sea Institute of Oceanology, Chinese Academy of Sciences & Innovation Academy of South China Sea Ecology and Environmental Engineering, Guangzhou 510301, China
2.College of Marine Science, University of Chinese Academy of Sciences, Beijing 100049, China
3.Peking University Chongqing Research Institute of Big Data, Chongqing 401332, China
4.Southern Marine Science and Engineering Guangdong Laboratory, Guangzhou 510301, China
5.Scripps Institution of Oceanography, University of California, San Diego, La Jolla, CA 92093, USA
duyan@scsio.ac.cn
收稿:2021-12-20,
纸质出版:2023-03-01
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SST effect on the pre-monsoon intraseasonal oscillation over the South China Sea based on atmospheric-coupled GCM comparison[J]. 海洋湖沼学报(英文), 2023,41(2):409-417.
LIANG Yun,DU Yan,XIE Shang-Ping.SST effect on the pre-monsoon intraseasonal oscillation over the South China Sea based on atmospheric-coupled GCM comparison[J].Journal of Oceanology and Limnology,2023,41(02):409-417.
SST effect on the pre-monsoon intraseasonal oscillation over the South China Sea based on atmospheric-coupled GCM comparison[J]. 海洋湖沼学报(英文), 2023,41(2):409-417. DOI:
LIANG Yun,DU Yan,XIE Shang-Ping.SST effect on the pre-monsoon intraseasonal oscillation over the South China Sea based on atmospheric-coupled GCM comparison[J].Journal of Oceanology and Limnology,2023,41(02):409-417. DOI:
The role of sea surface temperature (SST) variability in the pre-monsoonal (April to July) intraseasonal oscillation (ISO) over the South China Sea (SCS) is investigated using the Community Earth System Model Version 2 (CESM2). An Atmospheric Model Intercomparison Project (AMIP) simulation forced by daily sea surface temperatures (SSTs) derived from a parallel coupled general circulation model (CGCM) run was compared with observations and the mother coupled simulation. In the coupled model
the SST warming leads the peak convection about 1/4 period as in observations. The paralell uncoupled model fails to simulate this phase relationship
implying the importance of air-sea coupling in reproducing realistic ISO. Due to the near-quadrature phase relationship between SST and precipitation ISOs during the ISO events
it is difficult to distinguish the active/passive role of SST from observations alone. Significant correlation in intraseasonal precipitation between the daily SST-forced AMIP and mother CGCM runs indicates that SST plays a role in driving the atmospheric ISO.
Alexander M A , Bladé I , Newman M et al . 2002 . The atmospheric bridge: the influence of ENSO teleconnections on air-sea interaction over the global oceans . Journal of Climate , 15 ( 16 ): 2205 - 2231 , https://doi.org/10.1175/1520-0442(2002)015 https://doi.org/10.1175/1520-0442(2002)015 <2205:TABTIO>2.0.CO;2. https://do 10.1175/1520-0442(2002)015<2205:tabtio>2.0.co;2 http://dx.doi.org/10.1175/1520-0442(2002)015<2205:tabtio>2.0.co;2
Danabasoglu G , Lamarque J F , Bacmeister J et al . 2020 . The community earth system model version 2 (CESM 2 ). Journal of Advances in Modeling Earth Systems , 12 ( 2 ): e2019 MS 001916 , https://doi.org/10.1029/2019MS001916 https://doi.org/10.1029/2019MS001916 .
DeMott C A , Klingaman N P , Woolnough S J . 2015 . Atmosphere-ocean coupled processes in the Madden-Julian oscillation . Reviews of Geophysics , 53 ( 4 ): 1099 - 1154 , https://doi.org/10.1002/2014rg000478 https://doi.org/10.1002/2014rg000478 .
DeMott C A , Stan C , Randall D A et al . 2014 . Intraseasonal variability in coupled GCMs: the roles of ocean feedbacks and model physics . Journal of Climate , 27 ( 13 ): 4970 - 4995 , https://doi.org/10.1175/jcli-d-13-00760.1 https://doi.org/10.1175/jcli-d-13-00760.1 .
Fu X H , Wang B . 2004 . Differences of boreal summer intraseasonal oscillations simulated in an atmosphere-ocean coupled model and an atmosphere-only model . Journal of Climate , 17 ( 6 ): 1263 - 1271 , https://doi.org/10.1175/1520-0442(2004)017<1263:DOBSIO>2.0.CO;2. https://doi.org/10.1175/1520-0442(2004)017<1263:DOBSIO>2.0.CO;2.
Ham S , Hong S Y , Park S . 2014 . A study on air-sea interaction on the simulated seasonal climate in an ocean-atmosphere coupled model . Climate Dynamics , 42 ( 5-6 ): 1175 - 1187 , https://doi.org/10.1007/s00382-013-1847-0 https://doi.org/10.1007/s00382-013-1847-0 . https://do 10.1007/s00382-013-1847-0 http://dx.doi.org/10.1007/s00382-013-1847-0
Jiang X , Waliser D E , Xavier P K et al . 2015 . Vertical structure and physical processes of the Madden-Julian oscillation: Exploring key model physics in climate simulations . Journal of Geophysical Research : Atmospheres , 120 ( 10 ): 4718 - 4748 , http://doi.org/10.1002/2014JD022375 http://doi.org/10.1002/2014JD022375 . https://do 10.1002/2015jd023196 http://dx.doi.org/10.1002/2015jd023196
Kalnay E , Kanamitsu M , Kistler R et al . 1996 . The NCEP/NCAR 40-year reanalysis project . Bulletin of the American Meteorological Society , 77 ( 3 ): 437 - 472 , https://doi.org/10.1175/1520-0477(1996)077 https://doi.org/10.1175/1520-0477(1996)077 <0437:TNYRP>2.0.CO;2. https://do 10.1175/1520-0477(1996)077<0437:tnyrp>2.0.co;2 http://dx.doi.org/10.1175/1520-0477(1996)077<0437:tnyrp>2.0.co;2
Klein S A , Soden B J , Lau N C . 1999 . Remote sea surface temperature variations during ENSO: evidence for a tropical atmospheric bridge . Journal of Climate , 12 ( 4 ): 917 - 932 , https://doi.org/10.1175/1520-0442(1999)012 https://doi.org/10.1175/1520-0442(1999)012 <0917:RSSTVD>2.0.CO;2. https://do 10.1175/1520-0442(1999)012<0917:rsstvd>2.0.co;2 http://dx.doi.org/10.1175/1520-0442(1999)012<0917:rsstvd>2.0.co;2
Klingaman N P , Woolnough S J . 2014 . The role of air-sea coupling in the simulation of the Madden-Julian oscillation in the Hadley Centre model . Quarterly Journal of the Royal Meteorological Society , 140 ( 684 ): 2272 - 2286 , https://doi.org/10.1002/qj.2295 https://doi.org/10.1002/qj.2295 .
Li Y L , Han W Q , Wang W Q et al . 2016 . Intraseasonal variability of SST and precipitation in the Arabian Sea during the Indian Summer Monsoon: impact of ocean mixed layer depth . Journal of Climate , 29 ( 21 ): 7889 - 7910 , https://doi.org/10.1175/JCLI-D-16-0238.1 https://doi.org/10.1175/JCLI-D-16-0238.1 .
Li Y L , Han W Q , Wang W Q et al . 2018 . The Indian summer monsoon intraseasonal oscillations in CFSv2 forecasts: biases and importance of improving air-sea interaction processes . Journal of Climate , 31 ( 14 ): 5351 - 5370 , https://doi.org/10.1175/JCLI-D-17-0623.1 https://doi.org/10.1175/JCLI-D-17-0623.1 .
Liess S , Bengtsson L , Arpe K . 2004 . The intraseasonal oscillation in ECHAM4 Part I: coupled to a comprehensive ocean model . Climate Dynamics , 22 ( 6 ): 653 - 669 , https://doi.org/10.1007/s00382-004-0406-0 https://doi.org/10.1007/s00382-004-0406-0 .
Lindzen R S , Nigam S . 1987 . On the role of sea surface temperature gradients in forcing low-level winds and convergence in the tropics . Journal of the Atmospheric Sciences , 44 ( 17 ): 2418 - 2436 , https://doi.org/10.1175/1520-0469(1987)044 https://doi.org/10.1175/1520-0469(1987)044 <2418:OTROSS>2.0.CO;2. https://do 10.1175/1520-0469(1987)044<2418:otross>2.0.co;2 http://dx.doi.org/10.1175/1520-0469(1987)044<2418:otross>2.0.co;2
Meehl G A , Shields C , Arblaster J M et al . 2020 . Intraseasonal, seasonal, and interannual characteristics of regional monsoon simulations in CESM2 . Journal of Advances in Modeling Earth Systems , 12 ( 6 ): e2019 MS 001962 , https://doi.org/10.1029/2019ms001962 https://doi.org/10.1029/2019ms001962 .
Pegion K , Kirtman B P . 2008 . The impact of air-sea interactions on the simulation of tropical intraseasonal variability . Journal of Climate , 21 ( 24 ): 6616 - 6635 , https://doi.org/10.1175/2008jcli2180.1 https://doi.org/10.1175/2008jcli2180.1 .
Reynolds R W , Rayner N A , Smith T M et al . 2002 . An improved in situ and satellite SST analysis for climate . Journal of Climate , 15 ( 13 ): 1609 - 1625 , https://doi.org/10.1175/1520-0442(2002)015<1609:AIISAS>2.0.CO;2. https://doi.org/10.1175/1520-0442(2002)015<1609:AIISAS>2.0.CO;2.
Roxy M , Tanimoto Y . 2007 . Role of SST over the Indian Ocean in influencing the intraseasonal variability of the Indian summer monsoon . Journal of the Meteorological Society of Japan , 85 ( 3 ): 349 - 358 , https://doi.org/10.2151/jmsj.85.349 https://doi.org/10.2151/jmsj.85.349 . https://do 10.2151/jmsj.85.349 http://dx.doi.org/10.2151/jmsj.85.349
Roxy M , Tanimoto Y . 2012 . Influence of sea surface temperature on the intraseasonal variability of the South China Sea summer monsoon . Climate Dynamics , 39 ( 5 ): 1209 - 1218 , https://doi.org/10.1007/s00382-011-1118-x https://doi.org/10.1007/s00382-011-1118-x .
Roxy M , Tanimoto Y , Preethi B et al . 2013 . Intraseasonal SST-precipitation relationship and its spatial variability over the tropical summer monsoon region . Climate Dynamics , 41 ( 1 ): 45 - 61 , https://doi.org/10.1007/s00382-012-1547-1 https://doi.org/10.1007/s00382-012-1547-1 . https://do 10.1007/s00382-012-1547-1 http://dx.doi.org/10.1007/s00382-012-1547-1
Shao X , Huang P , Huang R H . 2015 . Role of the phase transition of intraseasonal oscillation on the South China Sea summer monsoon onset . Climate Dynamics , 45 ( 1-2 ): 125 - 137 , https://doi.org/10.1007/s00382-014-2264-8 https://doi.org/10.1007/s00382-014-2264-8 .
Sharmila S , Pillai P A , Joseph S et al . 2013 . Role of ocean-atmosphere interaction on northward propagation of Indian summer monsoon intra-seasonal oscillations (MISO) . Climate Dynamics , 41 ( 5-6 ): 1651 - 1669 , https://doi.org/10.1007/s00382-013-1854-1 https://doi.org/10.1007/s00382-013-1854-1 .
Wang B , Li T M . 1993 . A simple tropical atmosphere model of relevance to short-term climate variations . Journal of the Atmospheric Sciences , 50 ( 2 ): 260 - 284 , https://doi.org/10.1175/1520-0469(1993)050 https://doi.org/10.1175/1520-0469(1993)050 < 0260 :ASTAMO > 2.0.CO;2. https://do 10.1175/1520-0469(1993)050<0260:astamo>2.0.co;2 http://dx.doi.org/10.1175/1520-0469(1993)050<0260:astamo>2.0.co;2
Wang B , LinHo , Zhang Y S et al . 2004 . Definition of South China Sea monsoon onset and commencement of the East Asia summer monsoon . Journal of Climate , 17 ( 4 ): 699 - 710 , https://doi.org/10.1175/2932.1 https://doi.org/10.1175/2932.1 .
Wang T Y , Yang X Q , Fang J B et al . 2018 . Role of air-sea interaction in the 30 - 60 -day boreal summer intraseasonal oscillation over the western north Pacific. Journal of Climate , 31 ( 4 ): 1653 - 1680 , https://doi.org/10.1175/jcli-d-17-0109.1 https://doi.org/10.1175/jcli-d-17-0109.1 .
Wang W Q , Chen M Y , Kumar A . 2009 . Impacts of ocean surface on the northward propagation of the boreal summer intraseasonal oscillation in the NCEP Climate Forecast System . Journal of Climate , 22 ( 24 ): 6561 - 6576 , https://doi.org/10.1175/2009JCLI3007.1 https://doi.org/10.1175/2009JCLI3007.1 .
Wu R G . 2010 . Subseasonal variability during the South China Sea summer monsoon onset . Climate Dynamics , 34 ( 5 ): 629 - 642 , https://doi.org/10.1007/s00382-009-0679-4 https://doi.org/10.1007/s00382-009-0679-4 .
Xie S P , Chang C H , Xie Q et al . 2007 . Intraseasonal variability in the summer South China Sea: wind jet, cold filament, and recirculations . Journal of Geophysical Research , 112 ( C10 ): C10008 , https://doi.org/10.1029/2007jc004238 https://doi.org/10.1029/2007jc004238 . https://do 10.1029/2007jc004238 http://dx.doi.org/10.1029/2007jc004238
Xie S P , Philander S G H . 1994 . A coupled ocean-atmosphere model of relevance to the ITCZ in the eastern Pacific . Tellus A : Dynamic Meteorology and Oceanography , 46 ( 4 ): 340 - 350 , https://doi.org/10.3402/tellusa.v46i4.15484 https://doi.org/10.3402/tellusa.v46i4.15484 . https://do 10.3402/tellusa.v46i4.15484 http://dx.doi.org/10.3402/tellusa.v46i4.15484
Ye K H , Wu R G . 2015 . Contrast of local air-sea relationships between 10 - 20 -day and 30 - 60 -day intraseasonal oscillations during May-September over the South China Sea and western North Pacific. Climate Dynamics, 45 ( 11-12 ): 3441 - 3459 , https://doi.org/10.1007/s00382-015-2549-6 https://doi.org/10.1007/s00382-015-2549-6 .
Zhou Z Q , Xie S P , Zhang G J et al . 2018 . Evaluating AMIP skill in simulating interannual variability over the Indo-Western Pacific . Journal of Climate , 31 ( 6 ): 2253 - 2265 , https://doi.org/10.1175/jcli-d-17-0123.1 https://doi.org/10.1175/jcli-d-17-0123.1 .
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