Skip to main content

Advertisement

Log in

Do dynamic regional models add value to the global model projections of Indian monsoon?

  • Published:
Climate Dynamics Aims and scope Submit manuscript

Abstract

Dynamic Regional Climate Models (RCMs) work at fine resolution for a limited region and hence they are presumed to simulate regional climate better than General Circulation Models (GCMs). Simulations by RCMs are used for impacts assessment, often without any evaluation. There is a growing debate on the added value made by the regional models to the projections of GCMs specifically for the regions like, United States and Europe. Evaluation of RCMs for Indian Summer Monsoon Rainfall (ISMR) has been overlooked in literature, though there are few disjoint studies on Indian monsoon extremes and biases. Here we present a comprehensive study on the evaluations of RCMs for the ISMR with all its important characteristics such as northward and eastward propagation, onset, seasonal rainfall patterns, intra-seasonal oscillations, spatial variability and patterns of extremes. We evaluate nine regional simulations from Coordinated Regional Climate Downscaling Experiment and compare them with their host Coupled Model Intercomparison Project-5 GCM projections. We do not find any consistent improvement in the RCM simulations with respect to their host GCMs for any of the characteristics of Indian monsoon except the spatial variation. We also find that the simulations of the ISMR characteristics by a good number of RCMs, are worse than those of their host GCMs. No consistent added value is observed in the RCM simulations of changes in ISMR characteristics over recent periods, compared to past; though there are few exceptions. These results highlight the need for proper evaluation before utilizing regional models for impacts assessment and subsequent policy making for sustainable climate change adaptation.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15
Fig. 16

Similar content being viewed by others

References

  • Ali S, Li D, Congbin FU, Yang Y (2015) Performance of convective parameterization schemes in Asia using RegCM: simulations in three typical regions for the period 1998–2002. Adv Atmos Sci 32:715–730

    Article  Google Scholar 

  • Annamalai H, Slingo JM (2001) Active/break cycles: diagnosis of the intraseasonal variability of the Asian summer monsoon. Clim Dyn 18:85–102

    Article  Google Scholar 

  • Annamalai H, Hafner J, Sooraj KP, Pillai P (2013) Global warming shifts the monsoon circulation, drying south Asia. J Clim 26:2701–2718

    Article  Google Scholar 

  • Berg P, Doscher R, Koenigk T (2013) Impacts of using spectral nudging on regional climate model RCA4 simulations of the Arctic. Geosci Model Dev 6:849-859 http://www.geosci-model-dev.net/6/849/2013/ doi:10.5194/gmd-6-849-2013

  • Bhatla R, Ghosh S (2015) Study of break phase of indian summer monsoon using different parameterization schemes of RegCM43. Int J Earth Atmos Sci 2(3):109–115

    Google Scholar 

  • Blanford HF (1886) Rainfall of India. Mem Ind Met Dept 2217-448

  • Boberg F, Christensen JH (2012) Overestimation of Mediterranean summer temperature projections due to model deficiencies. Nat Clim Change 2(6):433–436. doi:10.1038/nclimate1454

    Article  Google Scholar 

  • Boilley A, Wald L (2015) Comparison between meteorological re-analyses from ERA-Interim and MERRA and measurements of daily solar irradiation at surface. Renewable Energy 75:135–143. doi:10.1016/j.renene.2014.09.042

    Article  Google Scholar 

  • Bowman AW, Azzalini A (1997) Applied smoothing techniques for data analysis: the kernel approach with S-plus illustrations. Clarendon Press, Oxford

    Google Scholar 

  • Coles S (2001) An introduction to statistical modeling of extreme values. Springer: London. ISBN:978-1-84996-874-4 (Print) 978-1-4471-3675-0 (Online)

  • Davin EL, Stöckli R, Jaeger EB, Levis S, Seneviratne SI (2011) COSMO-CLM2: a new version of the COSMO-CLM model coupled to the community land model. Clim Dyn 37(9–10):1889–1907. doi:10.1007/s00382-011-1019-z

    Article  Google Scholar 

  • Davis N, Bowden J, Semazzi F, Xie L, Onol B (2009) Customization of RegCM3 regional climate model for eastern Africa and a tropical Indian Ocean domain. J Clim 22:3595–3616

    Article  Google Scholar 

  • Dee DP, Uppala SM, Simmons AJ, Berrisford P, Poli P, Kobayashi S et al (2011) The ERA-Interim reanalysis: configuration and performance of the data assimilation system. Q J R Meteorol Soc 137(656):553–597. doi:10.1002/qj.828

    Article  Google Scholar 

  • Dugam SS, Kakade SB, Verma RK (1997) Interannual and long-term variability in the north Atlantic oscillation and Indian summer monsoon rainfall. Theor Appl Climatol 58:21–29

    Article  Google Scholar 

  • Ebita A, Ota Y, Kobayashi S, Moriya M, Kumabe R, Takahashi K, Onogi K (2009) JRA-55 the Japanese 55-year reanalysis project. The 5th WHO Symposium on data assimilation Melbourne Australia, pp. 1–26

  • Elguindi N, Bi X, Giorgi F, Nagarajan B, Pal J, Solmon F, Raucher S, Zakey A (2010) User’s guide. World Wide Web internet and web information systems (June) 1–24

  • Emanuel KA (1991) A scheme for representing cumulus convection in large-scale models. J Atmos Sci 48:2313–2335

    Article  Google Scholar 

  • Fasullo J, Webster PJ (2003) A hydrological definition of Indian monsoon onset and withdrawal. J Clim 16:3200–3211

    Article  Google Scholar 

  • Feser F, Rockel B, Storch HV, Winterfeldt J, Zahn M (2011) Regional climate models add value to global model data: a review and selected examples. Bull Am Meteorol Soc 92(9):1181–1192. doi:10.1175/2011BAMS3061.1

    Article  Google Scholar 

  • Gadgil S, Gadgil S (2006) The Indian monsoon, GDP and agriculture. Econ Political Weekly 41(47):4487–4895 http://www.jstor.org/stable/4418949

  • Gadgil S, Kumar KR (2006) The Asian monsoon-agriculture and economy. In: Wang B (ed) Asian monsoon. Springer, Berlin, pp 651–683

    Chapter  Google Scholar 

  • Ghosh S, Luniya V, Gupta A (2009) Trend analysis of Indian summer monsoon rainfall at different spatial scales. Atmos Sci Lett R Meteorol Soc 10(4):285–290

    Google Scholar 

  • Ghosh S, Das D, Kao SC, Ganguly AR (2012) Lack of uniformtrends but increasing spatial variability in observed Indian rainfall extremes. Nat Clim Change 2(2):86–91. doi:10.1038/nclimate1327

    Article  Google Scholar 

  • Glotter M, Elliott J, McInerney D, Best N, Foster I, Moyer EJ (2014) Evaluating the utility of dynamical downscaling in agricultural impacts projections. Proc Natl Acad Sci USA 111(24):8776–8781. doi:10.1073/pnas.1314787111

    Article  Google Scholar 

  • Goswami BN (2005) Intraseasonal variability in the atmosphere-ocean climate system. In: Lau WKM, Waliser DE (eds) South Asian monsoon. Springer, New York, pp 19–62

    Google Scholar 

  • Goswami BN, Xavier PK (2005) ENSO control on the south Asian monsoon through the length of the rainy season. Geophy Res Lett 32(18):1–4. doi:10.1029/2005GL023216

    Article  Google Scholar 

  • Goswami BN, Madhusoodanan MS, Neema CP, Sengupta D (2006a) A physical mechanism for north Atlantic SST influence on the Indian summer monsoon. Geophys Res Lett 33:L02706. doi:10.1029/2005GL024803

    Google Scholar 

  • Goswami BN, Venugopal V, Sengupta D, Madhusoodanan MS, Xavier PK (2006b) Increasing trend of extreme rain events over India in a warming environment. Science 314:1442–1445

    Article  Google Scholar 

  • Grell GA (1993) Prognostic evaluation of assumptions used by cumulus parameterizations. Mon Weather Rev 121:764–787

    Article  Google Scholar 

  • Hahn DJ, Shukla J (1976) An apparent relationship between Eurasian snow cover and Indian monsoon rainfall. J Atmos Sci 33:2461–2462

    Article  Google Scholar 

  • Harada Y, Kobayashi S, Ota Y, Onoda H, Yasui S, Onogi K, Kamahori H, Kobayashi C, Endo H, Miyaoka K, Ebita A, Kumabe R, Takahashi K, Moriya M (2013) The Japanese 55-year reanalysis “ JRA-55 ”: progress and status. JRA-55 progress status April 2013

  • Hassan M, Du P, Jia S, Iqbal W, Mahmood R, Ba W (2015) An assessment of the south asian summer monsoon variability for present and future climatologies using a high resolution regional climate model (RegCM4.3) under the AR5 Scenarios. Atmosphere 6:1833–1857. doi:10.3390/atmos6111833

    Article  Google Scholar 

  • Ji Z, Kang S, Zhang D, Zhu C, Wu J, Xu Y (2011) Simulation of the anthropogenic aerosols over south Asia and their effects on Indian summer monsoon. Clim Dyn 36(9–10):1633–1647. doi:10.1007/s00382-010-0982-0

    Article  Google Scholar 

  • Katz RW, Brush GS, Parlange MB (2005) Statistics of extremes: modelling ecological disturbances. Ecology 86(5):1124–1134

    Article  Google Scholar 

  • Kharin VV, Zwiers FW (2005) Estimating extremes in transient climate change simulations. J Clim 18:1156–1173

    Article  Google Scholar 

  • Kodra E, Ghosh S, Ganguly AR (2012) Evaluation of global climate models for Indian monsoon climatology. Environ Res Lett 7(1):014012. doi:10.1088/1748-9326/7/1/014012

    Article  Google Scholar 

  • Krishnamurti TN (1985) Summer monsoon experiment: a review. Mon Weather Rev 113:1590–1626

    Article  Google Scholar 

  • Kumar V, Krishnan R (2005) On the association between the Indian summer monsoon and the tropical cyclone activity over northwest Pacific. Current Sci 88:602–612

    Google Scholar 

  • Laprise R (2014) Comment on “The added value to global model projections of climate change by dynamical downscaling: a case study over the continental U.S. using the GISS-ModelE2 and WRF models” by Racherla et al. J Geophys Res: Atmos 119:3877–3881

    Google Scholar 

  • Mcgregor J (2006) Regional climate modelling using CCAM. Atmos Res

  • Mishra V (2015) Climatic uncertainty in Himalayan water towers. J Geophys Res: Atmos 120:1–17. doi:10.1002/2014JD022650

    Article  Google Scholar 

  • Mishra V, Kumar D, Ganguly AR, Sanjay J, Mujumdar M, Krishnan R, Shah RD (2014) Reliability of regional and global climate models to simulate precipitation extremes over India. J Geophys Res: Atmos 119:9301–9323. doi:10.1002/2014JD021636

    Google Scholar 

  • Mooley DA, Parthasarathy B (1983) Indian summer monsoon and El Niño. Pure appl Geophys 121(2):339–352

    Article  Google Scholar 

  • Mooney PA, Mulligan FJ, Fealy R (2011) Comparison of ERA-40, ERA-Interim and NCEP/NCAR reanalysis data with observed surface air temperatures over Ireland. Int J Climatol 31(4):545–557. doi:10.1002/joc.2098

    Article  Google Scholar 

  • Nguyen KC, Katzfey JJ, McGregor JL (2014) Downscaling over Vietnam using the stretched-grid CCAM: Verification of the mean and interannual variability of rainfall. Clim Dyn 43(3–4):861–879. doi:10.1007/s00382-013-1976-5

    Article  Google Scholar 

  • Oleson KW, Gy Niu, Yang ZL, Lawrence DM et al (2008) Improvements to the community land model and their impact on the hydrologic cycle. J Geophys Res 113:G01021. doi:10.1029/2007JD000563

    Article  Google Scholar 

  • Pathak A, Ghosh S, Kumar P (2014) Precipitation recycling in the Indian subcontinent during summer monsoon. J Hydrometeorol 15(5):2050–2066

    Article  Google Scholar 

  • Racherla PN, Shindell DT, Faluvegi GS (2012) The added value to global model projections of climate change by dynamical downscaling: a case study over the continental U.S. using the GISS-ModelE2 and WRF models. J Geophys Res 117:D20118. doi:10.1029/2012JD018091

    Article  Google Scholar 

  • Rajeevan M, Bhate J, Kale JD, Lal B (2006) High resolution daily gridded rainfall data for the Indian region: analysis of break and active monsoon spells. Current Sci 91(3):296–306

    Google Scholar 

  • Rajeevan M, Bhate J, Jaswal AK (2008) Analysis of variability and trends of extreme rainfall events over India using 104 years of gridded daily rainfall data. Geophys Res Lett 35(18):1–6. doi:10.1029/2008GL035143

    Article  Google Scholar 

  • Rajeevan M, Gadgil S, Bhate J (2010) Active and break spells of the Indian summer monsoon. J Earth Syst Sci 119(3):229–247

    Article  Google Scholar 

  • Rao SA, Chaudhari HS, Pokhrel S, Goswami BN (2010) Unusual central Indian drought of summer monsoon—2008: role of southern tropical Indian ocean warming. J Clim 23(19):5163–5174

    Article  Google Scholar 

  • Rao SA, Dhakate AR, Saha SK, Mahapatra S, Chaudhari HS, Pokhrel S, Sahu SK (2012) Why is Indian Ocean warming consistently? Clim Change 110:709–719. doi:10.1007/s10584-011-0121-x

    Article  Google Scholar 

  • Reboita MS, Fernandez JPR, Llopart MP, Rocha RP, Pampuch LA, Cruz FT (2014) Assessment of RegCM4.3 over the CORDEX South America domain: sensitivity analysis for physical parameterization schemes. Clim Res 60:215–234

    Article  Google Scholar 

  • Rienecker MM, Suarez MJ, Gelaro R, Todling R, Bacmeister J, Liu E et al (2011) MERRA: NASA’s modern-era retrospective analysis for research and applications. J Clim 24(14):3624–3648. doi:10.1175/JCLI-D-11-00015.1

    Article  Google Scholar 

  • Roxy MK, Ritika K, Terray P, Masson S (2014) The curious case of Indian Ocean warming. J Clim 27(22):8501–8509. doi:10.1175/JCLI-D-14-00471.1

    Article  Google Scholar 

  • Roxy MK, Ritika K, Terray P, Murtugudde R, Ashok K, Goswami BN (2015) Drying of Indian subcontinent by rapid Indian ocean warming and a weakening land-sea thermal gradient. Nat Commun. doi:10.1038/ncomms8423

  • Sabeerali CT, Dandi AR, Dhakate A, Salunke K, Mahapatra S, Rao SA (2013) Simulation of boreal summer intraseasonal oscillations in the latest CMIP5 coupled GCMs. J Geophys Res Atmos 118:4401–4420. doi:10.1002/jgrd.50403

    Article  Google Scholar 

  • Sabeerali CT, Rao SA, Dhakate AR, Salunke K, Goswami BN (2014) Why ensemble mean projection of south Asian monsoon rainfall by CMIP5 models is not reliable? Clim Dyn 45:161–174. doi:10.1007/s00382-014-2269-3

    Article  Google Scholar 

  • Saha SK, Halder S, Kumar KK, Goswami BN (2011) Pre-onset land surface processes and ‘internal’ interannual variabilities of the Indian summer monsoon. Clim Dyn 36:2077–2089

    Article  Google Scholar 

  • Saha A, Ghosh S, Sahana AS, Rao EP (2014) Failure of CMIP5 climate models in simulating post-1950 decreasing trend of Indian monsoon. Geophys Res Lett 41:7323–7330. doi:10.1002/2014GL061573

    Article  Google Scholar 

  • Sahana AS, Ghosh S, Ganguly A, Murtugudde R (2015) Shift in Indian summer monsoon onset during 1976/1977. Environ Res Lett 10(5):054006. doi:10.1088/1748-9326/10/5/054006

    Article  Google Scholar 

  • Salvi K, Kannan S, Ghosh S (2013) High-resolution multisite daily rainfall projections in India with statistical downscaling for climate change impacts assessment. J Geophys Res: Atmos 118(9):3557–3578. doi:10.1002/jgrd.502802013

    Google Scholar 

  • Salvi K, Ghosh S, Ganguly AR (2015) Credibility of statistical downscaling under nonstationary climate. Clim Dyn. doi:10.1007/s00382-015-2688-9

  • Samuelsson P, Jones CG, Willén U, Ullerstig A, Golvik S, Hansson U, Jansson C, Kjellström E, Nikulin G, Wyser K (2011) The Rossby Centre regional climate model RCA3: model description and performance. Tellus 63A:4–23. doi:10.1111/j.1600-0870.111/j.1600-0

    Article  Google Scholar 

  • Schmidt GA, Ruedy R, Hansen JE, Aleinov I, Bell N, Bauer M et al (2006) Present-day atmospheric simulations using GISS ModelE: comparison to in situ, satellite, and reanalysis data. J Clim 19(1):153–192. doi:10.1175/JCLI3612.1

    Article  Google Scholar 

  • Sellers PJ, Dickinson RE, Randall DA, Betts AK et al (1997) Modeling the exchanges of energy, water, and carbon between continents and the atmosphere. Science 275:502–509

    Article  Google Scholar 

  • Sharmila S, Joseph S, Sahai AK, Abhilash S, Chattopadhyay R (2015) Future projection of Indian summer monsoon variability under climate change scenario: an assessment from CMIP5 climate models. Global Planet Change. doi:10.1016/j.gloplacha.2014.11.004

    Google Scholar 

  • Shepard D (1968) A two dimensional interpolation function for irregularly spaced data. In: Proceedings of the Twenty-Third ACM conference, pp 517–524

  • Shindell D, Racherla P, Milly G (2014) Reply to comment of Laprise on “The added value to global model projections of climate change by dynamical downscaling: A case study over the continental U.S. using the GISS-ModelE2 and WRF models” Racherla et al. (2012). J Geophys Res Atmos 119:3882–3885. doi:10.1002/2013JD020732

    Article  Google Scholar 

  • Singh D, Tsiang M, Rajaratnam B, Diffenbaugh NS (2014) Observed changes in extreme wet and dry spells during the South Asian summer monsoon season. Nat Clim Change 4:456–461. doi:10.1038/NCLIMATE2208

    Article  Google Scholar 

  • Sperber KR, Annamalai H, Kang IS, Kitoh A, Moise A, Turner A, Wang B, Zhou T (2013) The Asian summer monsoon: an intercomparison of CMIP5 versus CMIP3 simulations of the late 20th century. Clim Dyn 41:2711–2744. doi:10.1007/s00382-012-1607-6

    Article  Google Scholar 

  • Tiwari PR, Kar SC, Mohanty UC et al (2015) Simulations of tropical circulation and Winter Precipitation Over North India: an application of a tropical band version of regional climate model (RegTband). Pure Appl Geophys. doi:10.1007/s00024-015-1102-1

    Google Scholar 

  • Torma C, Giorgi F, Coppola E (2015) Added value of regional climate modeling over areas characterized by complex terrain-Precipitation over the Alps. J Geophys Res: Atmos 120:3957–3972. doi:10.1002/2014JD022781

    Google Scholar 

  • Turner AG, Annamalai H (2012) Climate change and the south Asian summer monsoon. Nat Clim Change 2(8):587–595. doi:10.1038/nclimate1495

    Article  Google Scholar 

  • Vittal H, Karmakar S, Ghosh S (2013) Diametric changes in trends and patterns of extreme rainfall over India from pre-1950 to post-1950. Geophys Res Lett 40:3253–3258. doi:10.1002/grl.50631

    Article  Google Scholar 

  • Wang B, Ding Q, Joseph PV (2009) Objective definition of the Indian summer monsoon onset. J Clim 22(12):3303–3316. doi:10.1175/2008JCLI2675.1

    Article  Google Scholar 

  • Xavier PK, Marzin C, Goswami BN (2007) An objective definition of the Indian summer monsoon season and a new perspective on ENSO-monsoon relationship. Q J R Meteorol Soc 133:749–764. doi:10.1002/qj.45

    Article  Google Scholar 

Download references

Acknowledgments

Authors sincerely acknowledge Department of Science and Technology, Government of India and Climate Studies, IIT Bombay for providing assistance through project 11DST078. Authors acknowledge the World Climate Research Programme’s Working Group on Coupled Modelling, which is responsible for CMIP5 and climate modeling groups for producing and making available their model outputs. Authors acknowledge the Centre for Climate Change Research (CCCR-IITM) for RegCM4 and partner institutions (Institute for Atmospheric and Environmental Sciences (IAES), Germany for COSMO-CLM; Rossby Centre, Swedish Meteorological and Hydrological Institute (SMHI), Sweden for RCA4; Commonwealth Scientific and Industrial Research Organisation (CSIRO) for CCAM) for generating and disseminating the CORDEX South Asia multi-model dataset. Authors acknowledge Dr. J Sanjay, Dr. R Krishnan and Dr. Milind Mujumdar for providing their assistance in downloading CORDEX data. The first two authors acknowledge Dr. Sabeerali C T from Indian Institute of Tropical Meteorology for assistance in simulating northward and eastward propagation of intra-seasonal variations. The authors sincerely thank Prof. Raghu Murtugudde of University of Maryland for his constructive suggestions and comments. The authors sincerely thank Mr. Marcus Thatcher of CSIRO Oceans and Atmosphere for providing information of physical parameterization schemes used in CCAM model.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Subimal Ghosh.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary material 1 (DOCX 6027 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Singh, S., Ghosh, S., Sahana, A.S. et al. Do dynamic regional models add value to the global model projections of Indian monsoon?. Clim Dyn 48, 1375–1397 (2017). https://doi.org/10.1007/s00382-016-3147-y

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00382-016-3147-y

Keywords

Navigation