Abstract
Understanding of intra-seasonal oscillations (ISOs) acts as a crucial bridge in deciding the fate of the seasonal total rainfall during monsoon season in densely populated South Asian monsoon (SAM) domain. Based on daily precipitation data sets from state-of-the-art coupled climate model cohort that participated in Coupled Climate Model Inter-comparison Project Phase 6 (CMIP6), this study brings out the efficacy of these models in resolving the intra-seasonal signatures of monsoon season rainfall. Out of 27 CMIP6 models considered in the present study, only 21 are able to simulate the annual cycle well within the acceptance bound derived from the observations based rainfall. CMIP6 models Can-ESM5, HadGEM3-GC31, MRI-ESM2, UKESM1, ACCESS-CM2 and ACCESS-ESM1-5 are failed to resolve the onset phase of the monsoon in the month of June. Subsequent analysis revealed reasonable skills of most of the 27 CMIP6 models in demarcating 2 dominant intra-seasonal oscillations (ISOs) of monsoon viz 10–20 and 30–60 days. It is noted from the present analysis that CMIP6 models resolve the 10–20 days ISOs signal significantly but unexpectedly show conspicuous shift in 30–60 days ISOs with respect to the observational data sets over the central Indian region which results in extended dry spell in the beginning of the monsoon season. Westward propagating 10–20 days and Northward propagating 30–60 days ISOs characteristics are well simulated by 50% of CMIP6 models considered in the present study. Multi model mean of 27 CMIP6 models seems to preserve the shape of the distribution of 10–20 days ISOs in good agreement with the observational datasets as compared to low frequency 30–60 days oscillations, nevertheless, considering huge inter-model variations in ISOs particularly for 30–60 days ISOs and inability of CMIP6 models in detecting climatological wet and dry spells of ISOs, caution must be taken while delineating the intra-seasonal variability of the South Asian monsoon using CMIP6 models. Inter-model spread amongst the CMIP6 models considered in the present study may be attributed to the pathways of the interaction of model components, variants, model physics and representation of feedback mechanism.
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Data availability statement
CMIP6 data sets utilized in the present study are obtained from https://esgf-node.llnl.gov/projects/cmip6/. IMD gridded rainfall datasets are available from India Meteorological Department (http://dsp.imdpune.gov.in/). GPCP data sets are obtained from https://www.ncei.noaa.gov/data/global-precipitation-climatology-project-gpcp-daily/access/.
References
Adler R et al. (2017) Global Precipitation Climatology Project (GPCP) Daily Analysis: Climate Algorithm Theoretical Basis Document (C-ATBD).
Annamalai H, Slingo JM (2001) Active/break cycles: diagnosis of the intra-seasonal variability of the Asian Summer Monsoon. Clim Dyn 18:85–102
Arya VB et al (2021) On the build-up of dust aerosols and possible indirect effect during Indian summer monsoon break spells using recent satellite observations of aerosols and cloud properties. J Earth Syst Sci 130:42. https://doi.org/10.1007/s12040-020-01526-6
Bentsen M et al. (2019) NCC NorESM2-MM model output prepared for CMIP6 CMIP historical. Version 20201201[1]. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.8040.
Bi et al (2013) The ACCESS coupled model: description, control climate and evaluation. Aust Meteorol Ocean 63(41–64):2013
Chattopadhyay R et al (2019) Understanding the intraseasonal variability over Indian region and development of an operational extended range prediction system. Mausam 70(1):31–56
Dakshinamurthy J, Keshavamurthy R (1976) On oscillations of period around one month in the Indian summer monsoon. Indian J Meteorol Geophys 27:201–203
Danabasoglu G (2019) NCAR CESM2-WACCM model output prepared for CMIP6 CMIP historical. https://doi.org/10.22033/ESGF/CMIP6.10071. (Downloaded on 20201217)
Danabasoglu G, Lawrence D, Lindsay K, Lipscomb W, Strand G (2019) NCAR CESM2 model output prepared for CMIP6 CMIP historical. https://doi.org/10.22033/ESGF/CMIP6.7627. (Downloaded on 20201217)
Danek C, Shi X, Stepanek C, Yang H, Barbi D, Hegewald J, Lohmann G (2020) AWI AWI-ESM1.1LR model output prepared for CMIP6 CMIP historical. Version 20201101. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.9328
Döscher R et al (2021) The EC-Earth3 earth system model for the climate model intercomparison project 6. Geosci Model Dev. https://doi.org/10.5194/gmd-15-2973-2022
Eyring V, Bony S, Meehl GA, Senior CA, Stevens B, Stouffer RJ, Taylor KE (2016) Overview of the coupled model Intercomparison project Phase 6 (CMIP6) experimental design and organization. Geosci Model Dev (GMD) 9: 1937–1958. https://doi.org/10.5194/gmd-9-1937-2016. https://www.geosci-model-dev.net/9/1937/2016/
Gadgil S (1995) Climate change and Agriculture: An Indian perspective. Curr Sci 69:649–659
Gettelman A et al (2019) High climate sensitivity in the community earth system model version 2 (CESM2). Geophys Res Lett 46(8329–8337):2019
Goswami BN (2005) Intraseasonal variability in the atmosphere-ocean climate system. Springer, Praxis
Goswami BN, Ajaya Mohan RS (2001) Intra-seasonal oscillations and interannual variability of the Indian summer monsoon. J Clim 14:1180–1198
Goswami BN, Venugopal V, Sengupta D, Madhusoodanan MS, Xavier PK (2006) Increasing trend of extreme rain events over India in a warming environment. Science 314(80):1442–1445
Gsfc N (2000) Dynamical and boundary forcing characteristics of regional components of the Asian summer monsoon. J Clim 3:2461–2482
Guo H et al (2018) NOAA-GFDL GFDL-CM4 model output prepared for CMIP6 CMIP historical. https://doi.org/10.22033/ESGF/CMIP6.8594. (Downloaded on 20201201).
Hajima T, Watanabe M, Yamamoto A, Tatebe H, Noguchi MA, Abe M, Ohgaito R, Ito A, Yamazaki D, Okajima H, Ito A, Takata K, Ogochi K, Watanabe S, Kawamiya M (2020) Development of the MIROC-ES2L Earth system model and the evaluation of biogeochemical processes and feedbacks. Geosci Model Dev 13:2197–2244. https://doi.org/10.5194/gmd-13-2197-2020
Hartmann DL, Michelsen ML (1989) Intraseasonal periodicities in Indian rainfall. J Atmos Sci 46:2838–2862
Heyblom KB, Singh HA, Rasch PJ, DeRepentigny P (2022) Increased variability of biomass burning emissions in CMIP6 amplifies hydrologic cycle in the CESM2 Large Ensemble. Geophys Res Lett 49:e2021GL096868. https://doi.org/10.1029/2021GL096868
Inness PM et al (2003) Simulation of the Madden–Julian oscillation in a coupled general circulation model. Part II: the role of the basic state. J Clim 16:365–382. https://doi.org/10.1175/1520-0442(2003)016%3c0365:SOTMJO%3e2.0.CO;2
Jin Q, Yang ZL, Wei J (2016) Seasonal responses of Indian summer monsoon to dust aerosols in the Middle East, India, and China. J Clim 29:6329–6349. https://doi.org/10.1175/JCLI-D-15-0622.1
Karmakar N, Krishnamurti TN (2018) Characteristics of northward propagating intra-seasonal oscillation in the Indian summer monsoon. Clim Dyn. https://doi.org/10.1007/s00382-018-4268-2
Konwar M, Parekh A, Goswami BN (2012) Dynamics of east– west asymmetry of Indian summer monsoon rainfall trends in recent decades. Geophys Res Lett 39:L10708. https://doi.org/10.1029/2012GL052018
Krasting JP et al (2018) NOAA-GFDL GFDL-ESM4 model output prepared for CMIP6 CMIP historical. https://doi.org/10.22033/ESGF/CMIP6.8597. (Downloaded on 20201209)
Kripalani RH, Kulkarni A, Sabade SS et al (2004) Intra-seasonal oscillations during Monsoon 2002 and 2003. Curr Sci 87:325–331
Krishnamurthy V, Shukla J (2000) Intraseasonal and interannual variability of rainfall over India. J Clim 13:4366–4377
Krishnamurthy V, Shukla J (2007a) Intra-seasonal and seasonally persisting patterns of Indian monsoon rainfall. J Clim 20:3–20. https://doi.org/10.1175/JCLI3981.1
Krishnamurthy V, Shukla J (2007b) Seasonal persistence and propagation of intra-seasonal patterns over the Indian monsoon region. Clim Dyn. https://doi.org/10.1007/s00382-007-0300-7
Krishnamurti TN, Ardanuy P (1980) The 10 to 20-day westward propagating mode and “Breaks in the Monsoon.” Tellus A 32:15–26
Krishnamurti TN, Bhalme HN (1976) Oscillations of a monsoon system. Part I. Observational aspects. J Atmos Sci 33:1937–1954
Kuhlbrodt T, Jones CG, Sellar A, Storkey D, Blockley E, Stringer M et al (2018) The low-resolution versionof HadGEM3 GC3.1: Development andevaluation for global climate. J Adv Model Earth Syst 10:2865–2888. https://doi.org/10.1029/2018MS001370
Kulkarni A, Sabade SS, Kripalani RH (2006) Intra-seasonal Vagaries of the Indian Summer Monsoon Rainfall. Research report No. RR-114, IITM (Pune).
Law RM et al (2017) The carbon cycle in the Australian Community Climate and Earth System Simulator (ACCESS-ESM1)—part 1: model description and pre-industrial simulation. Geosci Model Dev 10:2567–2590. https://doi.org/10.5194/gmd-10-2567-2017,2017
Lee J, Kim J, Sun MA, Kim BH, Moon H, Sung HM, Kim J, Byun YH (2020) Evaluation of the Korea Meteorological Administration Advanced Community Earth-System model (KACE). Asia-Pac J Atmos Sci 56:381–395
Manoj MG, Devara PCS, Safai PD, Goswami BN (2011) Absorbing aerosols facilitate transition of Indian monsoon breaks to active spells. Clim Dyn 37:2181–2198
Manoj MG, Devara PCS, Joseph S, Sahai AK (2012) Aerosol indirect effect during the aberrant Indian Summer Monsoon breaks of 2009. Atmos Environ 60:153–163
Mauritsen T, Bader J, Becker T, Behrens J, Bittner M, Brokopf R et al (2019) Developments in the MPIM Earth System Model version 1.2 (MPI-ESM1.2) and its response to increasing CO2. J Adv Model Earth Syst 11:998–1038. https://doi.org/10.1029/2018MS001400
Menon A, Levermann A, Schewe J, Lehmann J, Frieler K (2013) Consistent increase in Indian monsoon rainfall and its variability across CMIP-5 models. Earth Syst Dyn 4:287–300
Müller WA, Jungclaus JH, Mauritsen T, Baehr J, Bittner M, Budich R et al (2018) A higher-resolution version of the Max Planck Institute Earth System Model (MPI-ESM1.2-HR). J Adv Model Earth Syst 10:1383–1413. https://doi.org/10.1029/2017MS001217
Narsey SY, Brown JR, Colman RA, Delage F, Power SB, Moise AF, Zhang H (2020) Climate change projections for the australian monsoon from CMIP6 models. Geophys Res Lett. https://doi.org/10.1029/2019gl086816
Pai DS et al (2014) Development of a new high spatial resolution (0.25° × 0.25°) long period (1901–2010) daily gridded rainfall data set over the region. Mausam 65:1–18
Rajendran K, Kitoh A (2006) Modulation of tropical intraseasonal oscillations by ocean-atmosphere coupling. J Clim 19:366–391
Ridley J, Menary M, Kuhlbrodt T, Andrews M, Andrews T (2019) MOHC HadGEM3-GC31-LL model output prepared for CMIP6 CMIP historical. https://doi.org/10.22033/ESGF/CMIP6.6109. (Downloaded on 20201214)
Rong X et al (2018) The CAMS climate system model and a basic evaluation of its climatology and climate variability simulation. J Meteorol Res-Proc 32(839–861):2018
Ross SM (2004) Introduction to probability and statistics for engineers and scientists, 3rd edn. Elsevier
Sabeerali CT et al (2013) Simulation of boreal summer intraseasonal oscillations in the latest CMIP5 coupled GCMs. J Geophys Res Atmos 118:4401–4420. https://doi.org/10.1002/jgrd.50403
Sabeerali CT et al (2014) Modulation of monsoon intraseasonal oscillations in the recent warming period. J Geophys Res Atmos 119:5185–5203. https://doi.org/10.1002/2013JD021261
Séférian R et al (2019) Evaluation of CNRM earth system model, CNRM-ESM2-1: role of earth system processes in present-day and future climate. J Adv Model Earth Syst 11(4182–4227):2019
Seland Ø et al (2020) The Norwegian Earth System Model, NorESM2—evaluation of the CMIP6 DECK and historical simulations. Geosci Model Dev Discuss. https://doi.org/10.5194/gmd-2019-378
Sharmila S et al (2013) Role of ocean-atmosphere interaction on northward propagation of Indian summer monsoon intra-seasonal oscillations (MISO). Clim Dyn 41:1651–1669. https://doi.org/10.1007/s00382-013-1854-1
Sharmila S et al (2014) Asymmetry in space–time characteristics of Indian summer monsoon intraseasonal oscillations during extreme years: role of seasonal mean state. Int J Climatol. https://doi.org/10.1002/joc.4100
Shiogama H, Manabu A, Hiroaki T (2019) MIROC MIROC6 model output prepared for CMIP6 ScenarioMIP. Version 20201211[1]. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.898
Sikka DR, Gadgil S (1980) On the maximum cloud zone and the ITCZ over Indian longitudes during the southwest monsoon. Mon Weather Rev 108:1840–1853
Singh C (2013) Characteristics of monsoon breaks and intraseasonal oscillations over central India during the last half century. Atmos Res 128:120–128
Singh C, Dasgupta P (2017) Unraveling the spatio-temporal structure of the atmospheric and oceanic intra-seasonal oscillations during the contrasting monsoon seasons. Atmos Res 192:48–57p
Singh C, Ganguly D, Dash SK (2017) Dust load and rainfall characteristics and their relationship over the South Asian monsoon region under various warming scenarios. J Geophys Res Atmos. https://doi.org/10.1002/2017JD027451
Singh C, Ganguly D, Dash SK (2018a) On the dust load and rainfall relationship in South Asia: an analysis from CMIP5. Clim Dyn 50:403–422. https://doi.org/10.1007/s00382-017-3617-x
Singh C, Ganguly D, Dash SK (2018b) Investigation of the relationship between natural aerosols and Indian summer monsoon rainfall using a climate model. In: Singh VP et al (eds) Climate Change Impacts (Chapter-11), Water Sci. Technol. Library, Springer, Vol. 82. Springer, Singapore (ISBN-978-981-10-5713-7)
Singh C, Ganguly D, Sharma P (2019) Impact of West Asia, Tibetan Plateau and local dust emissions on intra-seasonal oscillations of the South Asian monsoon rainfall. Clim Dyn. https://doi.org/10.1007/s00382-019-04944-5
Swart NC et al. (2019) CCCma CanESM5 model output prepared for CMIP6 ScenarioMIP. Version 20210127. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1317
Tang Y (2019) MOHC UKESM1.0-LL model output prepared for CMIP6 CMIP historical. https://doi.org/10.22033/ESGF/CMIP6.6113. (Downloaded on 20210127)
Tegen I et al (2019) The global aerosol—climate model ECHAM6.3—HAM2.3 - Part 1: Aerosol evaluation. Geosci Model Dev 12:1643–1677. https://gmd.copernicus.org/articles/12/1643/2019
Voldoire A et al (2019) Evaluation of CMIP6 DECK experiments With CNRM-CM6-1. J Adv Model Earth Syst 11(2177–2213):2019
Webster PJ et al (1998) Monsoons: process, predictability, and the prospects for prediction. J Geophys Res 103(C7):14451–14510
Wu T et al (2019) The Beijing Climate Center Climate System Model (BCC-CSM): the main progress from CMIP5 to CMIP6. Geosci Model Dev 12(1573–1600):2019. https://doi.org/10.5194/gmd-12-1573-2019
Wyser K et al (2020) On the increased climate sensitivity in the EC-Earth model from CMIP5 to CMIP6. Geosci Model Dev 13(3465–3474):2020. https://doi.org/10.5194/gmd-13-3465-2020
Yasunari T (1979) Cloudiness fluctuation associated with the northern hemisphere summer monsoon. J Meteorol Soc Jpn 57:227–242
Yasunari T (1980) Quasi-stationary appearance of 30–40 day period in the cloudiness fluctuations during summer monsoon over India. J Meteorol Soc Jpn 58:225–229
Yasunari T (1981) Structure of an Indian Summer Monsoon System with around 40-day Period. J Meteorol Soc Jpn 59:336–354
Yukimoto S et al (2019) MRI MRI-ESM2.0 model output prepared for CMIP6 CMIP historical. https://doi.org/10.22033/ESGF/CMIP6.6842.c (Downloaded on 20201214)
Ziehn et al (2017) The carbon cycle in the Australian Community Climate and Earth System Simulator (ACCESS-ESM1)—part 2: historical simulations. Geosci Model Dev 10(2591–2614):2017. https://doi.org/10.5194/gmd-10-2591-2017
Acknowledgements
Author would like to thank GH MASD, Dean (A) and Director IIRS for support. India Meteorological Department is thankfully acknowledged for developing rain gauge based quality controlled high resolution gridded rainfall data sets, and making it available for research community. GPCP rainfall data is obtained from NASA Giovanni. Thanks are due to World Climate Research Programme’s Working Group on Coupled Modelling, which is responsible for CMIP, climate modeling groups for producing and making available their model output (listed in Table 1).
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Singh, C. Intra-seasonal oscillations of South Asian summer monsoon in coupled climate model cohort CMIP6. Clim Dyn 60, 179–199 (2023). https://doi.org/10.1007/s00382-022-06323-z
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DOI: https://doi.org/10.1007/s00382-022-06323-z