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Simulation of synoptic features during summer monsoon onset over GWB, India, with CFSv2 coupled model: skill and bias assessment

  • S. Chaudhuri
  • P. Mondal
  • D. Das
  • F. Khan
  • D. Basu
Original Paper

Abstract

The aim of this study is to examine the skill of climate forecast system version 2 (CFSv2) in simulating the synoptic features of Bay of Bengal (BOB) branch of summer monsoon (SM) during the onset over Gangetic West Bengal (GWB), India. Precise prediction of the onset time and the synoptic features associated with the onset is a major challenge in SM study. Better understanding of the synoptic and intra-seasonal variability during the propagation along with the mean simulation of monsoon features is crucial, especially for the operational models. The earlier studies focused mainly on the mean simulation of SM during June–September (JJAS) period. However, the main objective of the present study is to improve the understanding of CFSv2 model biases in simulating the synoptic features during the propagation of BOB branch of SM system till the onset over GWB. The skill of the coupled model is estimated for the years 2011 to 2015 with tropospheric temperature (TT), sea surface temperature (SST), mean sea level pressure (MSLP), winds at 850 and 500 hPa pressure levels, and rainfall rate (RR). The result shows that the observed characteristics are simulated, reasonably well, by CFSv2 model with quite high reliability unlike other coupled models. The CFSv2 has been able to simulate the position/variation during the onset; however, the model has not been able to estimate the intensity in some occasions. The gradients of pressure and SST have been slightly overestimated by the model. The model has not been able to simulate the winds at 850 and 500 hPa pressure levels in some occasions. The CFSv2 model in simulating the features during propagation of BOB branch of SM system shows disparity from observation in some occasions during 2011 to 2015. The result also reveals that the model biases remain unaltered during El Niño episode of 2011.

Notes

Acknowledgements

The corresponding author acknowledges the MoES and DST, GOI, for providing the opportunity to join the National Research Programme “National Monsoon Mission” and “National Network of Climate Modeling”. The authors thank the Editor-in-Chief of the journal and the anonymous reviewers for excellent review and constructive comments on the manuscript which helped to improve the clarity.

References

  1. Achuthavarier D, Krishnamurthy V (2010a) Daily modes of South Asian summer monsoon variability in the NCEP climate forecast system. Clim Dyn 36:1941–1958.  https://doi.org/10.1007/s00382-010-0844-9 CrossRefGoogle Scholar
  2. Achuthavarier D, Krishnamurthy V (2010b) Relation between intraseasonal and interannual variability of the south Asian monsoon in the National Centers for Environmental Predictions forecast systems. J Geophys Res 115.  https://doi.org/10.1029/2009JD012865
  3. Annamalai H, Slingo JM, Sperber KR, Hodges K (1999) The mean evolution and variability of the Asian summer monsoon: comparison of ECMWF and NCEP–NCAR Reanalyses. Mon Wea Rev 127:1157–1186CrossRefGoogle Scholar
  4. Annamalai H, Xie SP, McCreary JP (2005) Impact of Indian Ocean sea surface temperature on developing El Nino. J Clim 18:302–319CrossRefGoogle Scholar
  5. Chaudhuri S, Das D, Goswami S, Das SK (2016) Long-range forecast of all India summer monsoon rainfall using adaptive neuro-fuzzy inference system: skill comparison with CFSv2 model simulation and real-time forecast for the year 2015. Clim Dyn 47:3319–3333.  https://doi.org/10.1007/s00382-016-3028-4 CrossRefGoogle Scholar
  6. Clough SA, Shephard MW, Mlawer EJ, Delamere JS, Iacono MJ, Cady‐Pereira K, Boukabara S, Brown PD (2005) Atmospheric radiative transfer modeling: A summary of the AER codes. J Quant Spectrosc Radiat Transfer 91:233–244Google Scholar
  7. Ek HPA, Mitchell KE, Lin Y, Rogers E, Grunmann P, Koren V, Gayno G, Tarpley JD (2003) Implementation of Noah land surface model advances in the National Centers for Environmental Prediction operational mesoscale Eta model. J Geophys Res 108(D22):8851.  https://doi.org/10.1029/2002JD003296 CrossRefGoogle Scholar
  8. Fennessy MJ, Kinter JL, Kirtman B, Marx L, Nigam S, Schneider E, Shukla J, Straus D, Vernekar A, Xul Y, Zhou J (1994) The simulated Indian summer monsoon—a sensitivity study. J Clim 7:33–43CrossRefGoogle Scholar
  9. Gadgil S, Sajani S (1998) Monsoon precipitation in AMIP runs. Clim Dyn 14:659–689CrossRefGoogle Scholar
  10. Goswami BN (1998) Inter-annual variations of Indian summer monsoon in a GCM: external conditions versus internal feedbacks. J Clim 11:501–522CrossRefGoogle Scholar
  11. Goswami Bidyut B, Medha D, Mukhopadhyay P, Saha Subodh K, Rao Suryachandra A, Raghu M, Goswami BN (2014) Simulation of monsoon intraseasonal variability in NCEP CFSv2 and its role on systematic bias. Clim Dyn 43:2725–2745.  https://doi.org/10.1007/s00382-014-2089-5 CrossRefGoogle Scholar
  12. Goswami BN, Xavier PK (2005) ENSO control on the South Asian monsoon through the length of the rainy season. Geophys Res Lett 32(L18717).  https://doi.org/10.1029/2005GL023216
  13. Griffies SM, Harrison MJ, Pacanowski RC, Rosati A (2004) A technical guide to MOM4, GFDL ocean group technical report 5, GFDL, pp 337Google Scholar
  14. Hazra A, Chaudhari HS, Dhakate A (2016) Evaluation of cloud properties in the NCEP CFSv2 model and its linkage with Indian summer monsoon. Theor Appl Climatol 124:31–41CrossRefGoogle Scholar
  15. Hong S-Y, Pan H-L (1998) Convective trigger function for a mass-flux cumulus parameterization scheme. Mon Wea Rev 126:2599–2620CrossRefGoogle Scholar
  16. Iacono MJ, Mlawer EJ, Clough SA, Morcrette J-J (2000) Impact of an improved longwave radiation model, RRTM, on the energy budget and thermodynamic properties of the NCAR community climate model, CCM3. J Geophys Res 105:14,873–14,890CrossRefGoogle Scholar
  17. Jiang X, Yang S, Li Y, Kumar A, Liu X, Zuo Z, Jha B (2013) Seasonal-to-interannual prediction of the Asian summer monsoon in the NCEP climate forecast system version 2. J Clim 26:3708–3727.  https://doi.org/10.1175/JCLI-D-12-00437.1 CrossRefGoogle Scholar
  18. Kang I-S, Jin K, Wang B, Lau K-M, Shukla J, Krishnamurthy V, Schubert SD, Wailser DE, Stern WF, Kitoh A, Meehl GA, Kanamitsu M, Galin VY, Satyan V, Park C-K, Liu Y (2002) Intercomparison of the climatological variations of Asian summer monsoon precipitation simulated by 10 GCMs. Clim Dyn 19:383–395CrossRefGoogle Scholar
  19. Kim and Arakaw (1995) Improvement of orographic gravity wave parameterization using a mesoscale gravity wave model. J Atmos Sci 52(11):1875–1902Google Scholar
  20. Kim H-M, Webstar PJ, Curry JA, Toma VE (2012) Asian summer monsoon prediction in ECMWF System 4 and NCEP CFSv2 retrospective seasonal forecasts. Clim Dyn 39:2975–2991CrossRefGoogle Scholar
  21. Lott F, and Miller MJ (1997) A new subgrid-scale orographic drag parametrization: Its formulation and testing. Q J R Meteor Soc 123:101–127Google Scholar
  22. Pandey DK, Rai S, Sahai AK, Abhilash S, Shahi NK (2016) Prediction and error growth in the daily forecast of precipitation from the NCEP CFSv2 over the subdivisions of Indian subcontinent. J Earth Syst Sci 125:29–45CrossRefGoogle Scholar
  23. Sabre M, Hodges K, Laval K, Polcher J, D’esalmand F (2000) Simulation of monsoon disturbances in the LMD GCM. Mon Wea Rev 128:3752–3771CrossRefGoogle Scholar
  24. Saha S, Nadiga S, Thiaw C, Wang J, Wang W, Zhang Q, Van Den Dool HM, Pan H-L, Moorthi S, Behringer D, Stokes D, Pena M, Lord S, White G, Ebisuzaki W, Peng P, Xie P (2006) The NCEP Climate Forecast System. J Clim 19:3483–3517CrossRefGoogle Scholar
  25. Saha S, Moorthi S, Pan H-L, Wu X, Wang J, Nadiga S, Tripp P, Kistler R, Woollen J, Behringer D, Liu H, Stokes D, GruhPaine R, Gayno G, Wang J, Hou YT, Chuang HY, Juang H-MH, Sela J, Iredell M, Treadon R, Kleist D, Delst PV, Keyser D, Derber J, Ek M, Meng J, Wei H, Yang R, Lord S, Dool HVD, Kumar A, Wang W, Long C, Chelliah M, Xue Y, Huang B, Schemm JK, Ebisuzaki W, Lin R, Xie P, Chen M, Zhou S, Higgins W, Zou CZ, Liu Q, Chen Y, Han Y, Cucurull L, Reynolds RW, Rutledge G, Goldberg M (2010) The NCEP climate forecast system reanalysis. Bull Amer Meteor Soc 91:1015–1057CrossRefGoogle Scholar
  26. Saha SK, Pokhrel S, Chaudhari HS, Dhakate A, Shewale S, Sabeerali CT, Salunke K, Hazra A, Mahapatra S, Rao AS (2013) Improved simulation of Indian summer monsoon in latest NCEP climate forecast system free run. Int J Climatol 34:1628–1641.  https://doi.org/10.1002/joc.3791 CrossRefGoogle Scholar
  27. Saha S, Moorthi S, Wu X, Wang J, Nadiga S, Tripp P, Behringer D, Hou Y-T, Chuang H-Y, Iredell M, Ek M, Meng J, Yang R, Mendez MP, van den Dool H, Zhang Q, Wang W, Chen M, Becker E (2014) The NCEP Climate Forecast System Version 2. J Clim 27:2185–2208CrossRefGoogle Scholar
  28. Shahi NK, Rai S, Pandey DK (2016) Prediction of daily modes of South Asian monsoon variability and its association with Indian and Pacific Ocean SST in the NCEP CFS V2. Meteorog Atmos Phys 128:131–142.  https://doi.org/10.1007/s00703-015-0404-2 CrossRefGoogle Scholar
  29. Sharmila S, Pillai SA, Joseph S, Roxy M, Krishna RPM, Chattopadyay R, Abhilash S, Sahai AK, Goswami BN (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 CrossRefGoogle Scholar
  30. Sperber KR, Palmer TN (1996) Inter-annual tropical rainfall variability in general circulation model simulations associated with the Atmospheric Model Intercomparison Project. J Clim 9:2727–2750CrossRefGoogle Scholar
  31. Wang W, Saha S, Pan H-L, Nadiga S, White G (2005) Simulation of ENSO in the new NCEP coupled forecast system model (CFS03). Mon Wea Rev 133:1574–1593CrossRefGoogle Scholar
  32. Wang W, Chen M, Kumar A (2010) An assessment of the CFS real-time seasonal forecasts. Wea Forecasting 25:950–969CrossRefGoogle Scholar
  33. Wu R, Kirtman BP (2004) Impacts of the Indian Ocean on the Indian summer monsoon-ENSO relationship. J Climate 17:3037–3054Google Scholar
  34. Wu R, Kirtman BP, Pegion K (2006) Local air-sea relationship in observations and model simulations. J Clim 19:4914–4932CrossRefGoogle Scholar
  35. Yuan X, Wood Eric F, Lifeng L, Ming P (2011) A first look at Climate Forecast System version 2 (CFSv2) for hydrological seasonal prediction. Geophys Res Lett 38:L13402.  https://doi.org/10.1029/2011GL047792 Google Scholar

Copyright information

© Springer-Verlag GmbH Austria, part of Springer Nature 2018

Authors and Affiliations

  • S. Chaudhuri
    • 1
  • P. Mondal
    • 1
  • D. Das
    • 1
  • F. Khan
    • 1
  • D. Basu
    • 1
  1. 1.Department of Atmospheric SciencesUniversity of CalcuttaKolkataIndia

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