Volume 41 Issue 10
Oct.  2022
Turn off MathJax
Article Contents
Ze Meng, Lei Zhou, Baosheng Li, Jianhuang Qin, Juncheng Xie. The atmospheric hinder for intraseasonal sea-air interaction over the Bay of Bengal during Indian summer monsoon in CMIP6[J]. Acta Oceanologica Sinica, 2022, 41(10): 119-130. doi: 10.1007/s13131-022-2023-3
Citation: Ze Meng, Lei Zhou, Baosheng Li, Jianhuang Qin, Juncheng Xie. The atmospheric hinder for intraseasonal sea-air interaction over the Bay of Bengal during Indian summer monsoon in CMIP6[J]. Acta Oceanologica Sinica, 2022, 41(10): 119-130. doi: 10.1007/s13131-022-2023-3

The atmospheric hinder for intraseasonal sea-air interaction over the Bay of Bengal during Indian summer monsoon in CMIP6

doi: 10.1007/s13131-022-2023-3
Funds:  The National Natural Science Foundation of China under contract Nos 42076001 and 42106003; the Scientific Research Fund of the Second Institute of Oceanography, Ministry of Natural Resources under contract No. JB2206; the China Postdoctoral Science Foundation under contract No. 2022M711010.
More Information
  • Corresponding author: E-mail: zhoulei1588@sjtu.edu.cn
  • Received Date: 2022-02-28
  • Accepted Date: 2022-04-10
  • Available Online: 2022-08-18
  • Publish Date: 2022-10-27
  • The surroundings of the Bay of Bengal (BoB) suffer a lot from the extreme rainfall events during Indian summer monsoon (ISM). Previous studies have proved that the sea-air interaction is an important factor for the monsoonal precipitation. Using the 6th Coupled Modol Inter-comparison Project (CMIP6) models, this study examined the biases of surface heat flux, which is the main connection between atmosphere and ocean. Results show that although CMIP6 have a better simulation of intraseasonal sea surface temperature (SST) anomalies over BoB than the previous ones, the “atmospheric blockage” still delays the response of latent heat flux to the oceanic forcing. Specifically, during the increment of positive latent heat flux in CMIP6, the negative contribution from wind effects covers most of the positive contribution from humidity effects, due to the underestimate of humidity effects. Further diagnostic analysis denote that the surface air humidity has a quarter of a phase ahead of warm SST in observation, but gets wet along with the warm SST accordingly in most CMIP6 models. As a result, the simulated transfer of intraseasonal moisture flux is hindered between ocean and atmosphere. Therefore, as a bridge between both sides, the atmospheric boundary layer is essential for a better sea-air coupled simulation, especially when the atmospheric and the oceanic variabilities involved in a climate model becomes increasingly sophisticated. The surface air humidity and boundary layer processes require more attention as well as better simulations.
  • loading
  • Bellenger H, Guilyardi E, Leloup J, et al. 2014. ENSO representation in climate models: from CMIP3 to CMIP5. Climate Dynamics, 42(7): 1999–2018
    Bretherton C S, Peters M E, Back L E. 2004. Relationships between water vapor path and precipitation over the tropical oceans. Journal of Climate, 17(7): 1517–1528. doi: 10.1175/1520-0442(2004)017<1517:RBWVPA>2.0.CO;2
    Carton J A, Chepurin G A, Chen Ligang. 2018. SODA3: a new ocean climate reanalysis. Journal of Climate, 31(17): 6967–6983. doi: 10.1175/JCLI-D-18-0149.1
    Cayan D R. 1992a. Latent and sensible heat flux anomalies over the northern oceans: the connection to monthly atmospheric circulation. Journal of Climate, 5(4): 354–369. doi: 10.1175/1520-0442(1992)005<0354:LASHFA>2.0.CO;2
    Cayan D R. 1992b. Latent and sensible heat flux anomalies over the northern oceans: driving the sea surface temperature. Journal of Physical Oceanography, 22(8): 859–881. doi: 10.1175/1520-0485(1992)022<0859:LASHFA>2.0.CO;2
    Chen Ziming, Zhou Tianjun, Zhang Lixia, et al. 2020. Global land monsoon precipitation changes in CMIP6 projections. Geophysical Research Letters, 47(14): e2019GL086902
    DeMott C A, Benedict J J, Klingaman N P, et al. 2016. Diagnosing ocean feedbacks to the MJO: SST-modulated surface fluxes and the moist static energy budget. Journal of Geophysical Research, 121(14): 8350–8373. doi: 10.1002/2016JD025098
    Eyring V, Bony S, Meehl G A, et al. 2016. Overview of the Coupled Model Intercomparison Project Phase 6 (CMIP6) experimental design and organization. Geoscientific Model Development, 9(5): 1937–1958. doi: 10.5194/gmd-9-1937-2016
    Flaounas E, Bastin S, Janicot S. 2011. Regional climate modelling of the 2006 West African monsoon: sensitivity to convection and planetary boundary layer parameterisation using WRF. Climate Dynamics, 36(5): 1083–1105
    Flather R A. 1994. A storm surge prediction model for the northern Bay of Bengal with application to the cyclone disaster in April 1991. Journal of Physical Oceanography, 24(1): 172–190. doi: 10.1175/1520-0485(1994)024<0172:ASSPMF>2.0.CO;2
    Gao Yingxia, Klingaman N P, DeMott C A, et al. 2019. Diagnosing ocean feedbacks to the BSISO: SST-modulated surface fluxes and the moist static energy budget. Journal of Geophysical Research, 124(1): 146–170
    Gasparin F, Roemmich D, Gilson J, et al. 2015. Assessment of the upper-ocean observing system in the equatorial pacific: the role of Argo in resolving intraseasonal to interannual variability. Journal of Atmospheric and Oceanic Technology, 32(9): 1668–1688. doi: 10.1175/JTECH-D-14-00218.1
    Goswami B N, Ajayamohan R S, Xavier P K, et al. 2003. Clustering of synoptic activity by Indian summer monsoon intraseasonal oscillations. Geophysical Research Letters, 30(8): 1431
    Goswami B N, Mohan R S A. 2001. Intraseasonal oscillations and interannual variability of the Indian summer monsoon. Journal of Climate, 14(6): 1180–1198. doi: 10.1175/1520-0442(2001)014<1180:IOAIVO>2.0.CO;2
    Hendon H H, Glick J. 1997. Intraseasonal air-sea interaction in the tropical Indian and Pacific Oceans. Journal of Climate, 10(4): 647–661. doi: 10.1175/1520-0442(1997)010<0647:IASIIT>2.0.CO;2
    Jiang Xianan, Li Tim, Wang Bin. 2004. Structures and mechanisms of the northward propagating boreal summer intraseasonal oscillation. Journal of Climate, 17(5): 1022–1039. doi: 10.1175/1520-0442(2004)017<1022:SAMOTN>2.0.CO;2
    Konda G, Vissa N K. 2021. Assessment of ocean-atmosphere interactions for the boreal summer intraseasonal oscillations in CMIP5 models over the Indian monsoon region. Asia-Pacific Journal of Atmospheric Sciences, 57(4): 717–739. doi: 10.1007/s13143-021-00228-3
    Lee H T, Gruber A, Ellingson R G, et al. 2007. Development of the HIRS outgoing longwave radiation climate dataset. Journal of Atmospheric and Oceanic Technology, 24(12): 2029–2047. doi: 10.1175/2007JTECHA989.1
    Li Yuanlong, Han Weiqing, Wang Wanqiu, et al. 2017. Bay of Bengal salinity stratification and Indian summer monsoon intraseasonal oscillation: 2. Impact on SST and convection. Journal of Geophysical Research, 122(5): 4312–4328. doi: 10.1002/2017JC012692
    Li Baosheng, Zhou Lei, Qin Jianhuang, et al. 2021. The role of vorticity tilting in northward-propagating monsoon intraseasonal oscillation. Geophysical Research Letters, 48(3): e2021GL093304
    Li Baosheng, Zhou Lei, Qin Jianhuang, et al. 2022a. Maintenance of cyclonic vortex during monsoon intraseasonal oscillation: a view from kinetic energy budget. Geophysical Research Letters, 49(7): e2022GL097740
    Li Baosheng, Zhou Lei, Qin Jianhuang, et al. 2022b. Key process diagnostics for monsoon intraseasonal oscillation over the Indian Ocean in coupled CMIP6 models. Climate Dynamics,
    Li Baosheng, Zhou Lei, Wang Chunzai, et al. 2020. Modulation of tropical cyclone genesis in the Bay of Bengal by the central Indian ocean mode. Journal of Geophysical Research, 125(12): e2020JD032641
    Maloney E D, Sobel A H. 2004. Surface fluxes and ocean coupling in the tropical intraseasonal oscillation. Journal of Climate, 17(22): 4368–4386. doi: 10.1175/JCLI-3212.1
    McKenna S, Santoso A, Gupta A S, et al. 2020. Indian Ocean dipole in CMIP5 and CMIP6: characteristics, biases, and links to ENSO. Scientific Reports, 10(1): 11500. doi: 10.1038/s41598-020-68268-9
    Menemenlis D, Campin J M, Heimbach P, et al. 2008. ECCO2: High resolution global ocean and sea ice data synthesis. Mercator Ocean Quarterly Newsletter, 31: 13–21
    Meng Ze, Zhou Lei, Murtugudde R, et al. 2022. Tropical oceanic intraseasonal variabilities associated with central Indian Ocean mode. Climate Dynamics, 58(3): 1107–1126
    Meng Ze, Zhou Lei, Qin Jianhuang, et al. 2019. Assessment of intraseasonal variabilities over Indian Ocean based on oceanic reanalysis datasets. Journal of Marine Sciences, 37(4): 1–13
    Menon A, Levermann A, Schewe J, et al. 2013. Indian summer monsoon in CMIP-5 projections: more rain, more erratically. Consistent increase in Indian monsoon rainfall and its variability across CMIP-5 models. Earth System Dynamics, 4(2): 287–300
    Niyogi D, Kishtawal C, Tripathi S, et al. 2010. Observational evidence that agricultural intensification and land use change may be reducing the Indian summer monsoon rainfall. Water Resources Research, 46(3): W03533
    Peña M, Kalnay E, Cai M. 2003. Statistics of locally coupled ocean and atmosphere intraseasonal anomalies in Reanalysis and AMIP data. Nonlinear Processes in Geophysics, 10(2): 245–251
    Pirro A, Wijesekera H W, Jarosz E, et al. 2020. Dynamics of intraseasonal oscillations in the Bay of Bengal during summer monsoons captured by mooring observations. Deep-Sea Research Part II: Topical Studies in Oceanography, 172: 104718. doi: 10.1016/j.dsr2.2019.104718
    Qin Jianhuang, Meng Ze, Xu Wenlong, et al. 2022a. Modulation of the intraseasonal chlorophyll-a concentration in the tropical Indian Ocean by the central Indian ocean Mode. Geophysical Research Letters, 49(7): e2022GL097802
    Qin Jianhuang, Zhou Lei, Ding Ruiqiang, et al. 2022b. Predictability limit of monsoon intraseasonal precipitation: an implication of central Indian Ocean mode. Frontiers in Marine Science, 8: 809798
    Qin Jianhuang, Zhou Lei, Li Baosheng, et al. 2020. Simulation of central Indian Ocean mode in S2S models. Journal of Geophysical Research, 125(21): e2020JD033550
    Qin Jianhuang, Zhou Lei, Meng Ze, et al. 2022c. Barotropic energy conversion during Indian summer monsoon: implication of central Indian Ocean mode simulation in CMIP6. Climate Dynamics,
    Rajeevan M, Gadgil S, Bhate J. 2010. Active and break spells of the Indian summer monsoon. Journal of Earth System Science, 119(3): 229–247. doi: 10.1007/s12040-010-0019-4
    Rochetin N, Couvreux F, Grandpeix J Y, et al. 2014. Deep convection triggering by boundary layer thermals. Part I: LES analysis and stochastic triggering formulation. Journal of the Atmospheric Sciences, 71(2): 496–514. doi: 10.1175/JAS-D-12-0336.1
    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
    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. doi: 10.1007/s00382-012-1547-1
    Sabeerali C T, Ramu Dandi A, Dhakate A, et al. 2013. Simulation of boreal summer intraseasonal oscillations in the latest CMIP5 coupled GCMs. Journal of Geophysical Research, 118(10): 4401–4420. doi: 10.1002/jgrd.50403
    Sanchez-Franks A, Kent E C, Matthews A J, et al. 2018. Intraseasonal variability of air-sea fluxes over the Bay of Bengal during the southwest monsoon. Journal of Climate, 31(17): 7087–7109. doi: 10.1175/JCLI-D-17-0652.1
    Sobel A H, Maloney E D, Bellon G, et al. 2008. The role of surface heat fluxes in tropical intraseasonal oscillations. Nature Geoscience, 1(10): 653–657. doi: 10.1038/ngeo312
    Vinayachandran P N, Neema C P, Mathew S, et al. 2012. Mechanisms of summer intraseasonal sea surface temperature oscillations in the Bay of Bengal. Journal of Geophysical Research, 117(C1): C01005
    Xi Jingyuan, Zhou Lei, Murtugudde R, et al. 2015. Impacts of intraseasonal SST anomalies on precipitation during Indian summer monsoon. Journal of Climate, 28(11): 4561–4575. doi: 10.1175/JCLI-D-14-00096.1
    Yu Lisan. 2019. Global air-sea fluxes of heat, fresh water, and momentum: energy budget closure and unanswered questions. Annual Review of Marine Science, 11: 227–248. doi: 10.1146/annurev-marine-010816-060704
    Yu Lisan, Weller R A. 2007. Objectively analyzed air-sea heat fluxes for the global ice-free oceans (1981–2005). Bulletin of the American Meteorological Society, 88(4): 527–540. doi: 10.1175/BAMS-88-4-527
    Zhang Chidong. 2005. Madden-Julian oscillation. Reviews of Geophysics, 43(2): RG2003
    Zhang Min, Zhou Lei, Fu Hongli, et al. 2016. Assessment of intraseasonal variabilities in China Ocean Reanalysis (CORA). Acta Oceanologica Sinica, 35(3): 90–101. doi: 10.1007/s13131-016-0820-2
    Zhou Lei, Murtugudde R. 2014. Impact of northward-propagating intraseasonal variability on the onset of Indian summer monsoon. Journal of Climate, 27(1): 126–139. doi: 10.1175/JCLI-D-13-00214.1
    Zhou Lei, Murtugudde R, Chen Dake, et al. 2017. A central Indian Ocean mode and heavy precipitation during the Indian summer monsoon. Journal of Climate, 30(6): 2055–2067. doi: 10.1175/JCLI-D-16-0347.1
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Figures(12)  / Tables(1)

    Article Metrics

    Article views (496) PDF downloads(13) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return