Revised cloud and convective parameterization in CFSv2 improve the underlying processes for northward propagation of Intraseasonal oscillations as proposed by the observation-based study

Abstract

The performance of revised climate forecast system version 2 (CFSv2) are evaluated on the simulation of the underlying cloud and convective processes associated with the strong and weak boreal summer intraseasonal oscillations (BSISOs) events. The revised version of the CFSv2 consists of a six-class Weather Research Forecasting single moment (WSM6) cloud microphysics scheme and the default version has Zhao and Carr (ZC) cloud microphysics scheme. Both the version uses revised simplified Arakawa-Schubert (RSAS) convection scheme. The study reveals that the revised version of CFSv2 (RSAS-WSM) is able to better simulate the northward propagation of BSISOs and associated dynamical and thermodynamical mechanism put forward by earlier observation-based studies. It is found that the large-scale organized northwest-southeast tilted structure of rain band is better captured in RSAS-WSM simulation as compared to the default version of CFSv2 (RSAS-ZC) during strong BSISO events. Further, the reasonable large-scale or stratiform rainfall associated with the northward propagating strong BSISO events is seen in RSAS-WSM while it is completely missing in RSAS-ZC simulation. The pressure-latitude profiles of cloud liquid water (CLW) and cloud ice (CLI) show more realistic steady northward propagation in RSAS-WSM simulation. Consistent with the CLW and CLI distribution and their influence on the large-scale heating structure, the large-scale condensation heating shows quasi-periodic northward propagation in RSAS-WSM whereas such type of distribution is not captured in RSAS-ZC simulation. The realistic representation of cloud processes in WSM leads to simulate reasonable dynamical and thermodynamical processes associated with the strong BSISO events which follows the observation-based hypothesis proposed by earlier studies.

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

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11

References

  1. Abhik S, Halder M, Mukhopadhyay P, Jiang X, Goswami BN (2013) Possible new mechanism for northward propagation of boreal summer intraseasonal oscillations based on TRMM and MERRA reanalysis. Clim Dyn 40:1611–1624. https://doi.org/10.1007/s00382-012-1425-x

    Article  Google Scholar 

  2. Abhik S, Krishna RPM, Mahakur M, Ganai M, Mukhopadhyay P, Dudhia J (2017) Revised cloud processes to improve the mean and intraseasonal variability of Indian summer monsoon in climate forecast system: part 1. J Adv Model Earth Syst 9:1–28. https://doi.org/10.1002/2016MS000819

    Article  Google Scholar 

  3. Baker MB (1997) Cloud microphysics and climate. Science 276:1072–1078

    Article  Google Scholar 

  4. Chattopadhyay R, Goswami BN, Sahai AK, Fraedrich K (2009) Role of stratiform rainfall in modifying the northward propagation of monsoon intra-seasonal oscillation. J Geophys Res 114:D19114. https://doi.org/10.1029/2009JD011869

    Article  Google Scholar 

  5. Chen YH, Del Genio AD (2009) Evolution of tropical cloud regimes in observations and a general circulation model. Clim Dyn 32:355–369. https://doi.org/10.1007/S00382-008-0386-6

    Article  Google Scholar 

  6. Duchon CE (1979) Lanczos filtering in one and two dimensions. J Appl Meteorol 18:1016–1022

    Article  Google Scholar 

  7. Fu X, Wang B (2004) The boreal summer intraseasonal oscillations simulated in a hybrid coupled atmosphere-ocean model. Mon Weather Rev 132:2628–2649. https://doi.org/10.1175/MWR2811.1

    Article  Google Scholar 

  8. Fu X, Wang B, Li T, McCreary JP (2003) Coupling between northward-propagating, intraseasonal oscillations and sea surface temperature in the Indian Ocean. J Atmos Sci 60:1733–1753

    Article  Google Scholar 

  9. Fu X, Wang B, Tao L (2006) Satellite data reveal the 3-D moisture structure of tropical intraseasonal oscillation and its coupling with underlying ocean. Geophys Res Lett 33:L03705. https://doi.org/10.1029/2005GL025074

    Article  Google Scholar 

  10. Ganai M, Mukhopadhyay P, Phani RMK, Mahakur M (2015) Impact of revised simplified Arakawa-Schubert convection parameterization scheme in CFSv2 on the simulation of the Indian summer monsoon. Clim Dyn 45:881–902. https://doi.org/10.1007/s00382-014-2320-4

    Article  Google Scholar 

  11. Ganai M, Krishna RPM, Mukhopadhyay P, Mahakur M (2016) The impact of revised simplified Arakawa-Schubert scheme on the simulation of mean and diurnal variability associated with active and break phases of Indian Summer Monsoon using CFSv2. J Geophys Res Atmos 121:9301–9323. https://doi.org/10.1002/2016JD025393

    Article  Google Scholar 

  12. Goswami BN (2005) South Asian summer monsoon. In: Lau WK-M, Waliser DE (eds) Intraseasonal variability of the atmosphere ocean climate system. Springer, Berlin, pp 19–61

    Google Scholar 

  13. Goswami BN, Xavier PK (2003) Potential predictability and extended range prediction of Indian summer monsoon breaks. Geophys Res Lett 30(18):1966. https://doi.org/10.1029/2003GL017,810,2003

    Article  Google Scholar 

  14. Griffies SM, Harrison MJ, Pacanowski RC, Rosati A (2004) A technical guide to MOM4, GFDL ocean group technical report 5,GFDL, pp 337

  15. Halder M, Mukhopadhyay P, Halder S (2012) Study of the microphysical properties associated with the Monsoon Intraseasonal Oscillation as seen from the TRMM observations. Ann geophys 30(6):897–910

    Article  Google Scholar 

  16. Han J, Pan H-L (2011) Revision of convection and vertical diffusion schemes in the NCEP global forecast system. Weather Forecast 26:520–533. https://doi.org/10.1175/WAF-D-10-05038.1

    Article  Google Scholar 

  17. Hong SY, Lim JOJ (2006) The WRF single-moment 6-class microphysics scheme (WSM6). J Korean Meteorol Soc 42:129–151

    Google Scholar 

  18. Hong SY, Dudhia J,Chen SH (2004) A revised approach to ice microphysical processes for bulk parameterization of cloud and precipitation. Mon Weather Rev 132: 103–120.https://doi.org/10.1175/1520-0493(2004)132%3C0103:ARATIM%3E2.0.CO;2.

    Article  Google Scholar 

  19. Hsu HH, Weng CH, Wu CH (2004) Contrasting characteristics between the northward and eastward propagation of the intraseasonal oscillation during the boreal summer. J Clim 17:727–743

    Article  Google Scholar 

  20. Huffman GJ, Adler RF, Bolvin DT, Gu G, Nelkin EJ, Bowman KP, Stocker EF, Wolff DB (2007) The TRMM multi satellite precipitation analysis: quasi-global, multi-year, combined-sensor precipitation estimates at fine scale. J Hydrometeorol 8:33–55

    Article  Google Scholar 

  21. Jakob C, Tselioudis G (2003) Objective identification of cloud regimes in the tropical western Pacific. Geophys Res Lett 30:2082. https://doi.org/10.1029/2003GL018367

    Article  Google Scholar 

  22. Jiang X, Li T, Wang B (2004) Structures and mechanisms of the northward propagating boreal summer intraseasonal oscillation. J Clim 17:1022–1039

    Article  Google Scholar 

  23. Jiang X, Waliser DE, Li JL, Woods C (2011) Vertical cloud structures of the boreal summer intraseasonal variability based on CloudSat observations and ERA-interim reanalysis. Clim Dyn 36:2219–2232. https://doi.org/10.1007/s00382-010-0853-8

    Article  Google Scholar 

  24. Kemball-Cook S, Wang B (2001) Equatorial waves and air-sea interaction in the boreal summer intraseasonal oscillation. J Clim 14:2923–2942

    Article  Google Scholar 

  25. Lau WKM, Waliser DE (2005) Intraseasonal variability in the atmosphere–ocean climate system. Springer, Heidelberg, p 474

    Google Scholar 

  26. Lawrence DM, Webster PJ (2002) The boreal summer intraseasonal oscillation: relationship between northward and eastward movement of convection. J Atmos Sci 59:1593–1606

    Article  Google Scholar 

  27. Lin JL, Weickman KM, Kiladis GN, Mapes BE, Schubert SD, Suarez MJ, Bacmeister JT, Lee MI (2008) Subseasonal variability associated with Asian summer monsoon simulated by 14 IPCCAR4 coupled GCMs. J Clim 21:4541–4567. https://doi.org/10.1175/2008JCLI1816.1

    Article  Google Scholar 

  28. Madden RA, Julian PR (1971) Detection of a 40–50 day oscillation in zonal wind in tropical Pacific. J Atmos Sci 28:702–708

    Article  Google Scholar 

  29. Madden RA, Julian PR (1994) Observations of the 40–50-day tropical oscillation: a review. Mon Weather Rev 122:814–837

    Article  Google Scholar 

  30. Moorthi S, Pan HL, Caplan P (2001) Changes to the 2001 NCEP operational MRF/AVN global analysis/forecast system. NWS Tech Proc Bull 484:14

    Google Scholar 

  31. Rossow WB, Tselioudis G, Polak A, Jakob C (2005) Tropical climate described as a distribution of weather states indicated by distinct mesoscale cloud property mixtures. Geophys Res Lett 32:L21812. https://doi.org/10.1029/2005GL024584

    Article  Google Scholar 

  32. Saha S et al (2010) The NCEP climate forecast system reanalysis. Bull Am Meteorol Soc 91:1015–1057

    Article  Google Scholar 

  33. 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, Pena Mendez M, van den Dool H, Zhang Q, Wang W, Chen M, Becker E (2014) The NCEP climate forecast system version 2. J Clim. https://doi.org/10.1175/JCLI-D-12-00823.1

    Article  Google Scholar 

  34. Sharmila S, Pillai SA, Joseph S, Roxy M, Krishna RPM, Chattopadhyay 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

    Article  Google Scholar 

  35. 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

    Article  Google Scholar 

  36. Sperber KR, Slingo JM, Annamalai H (2000) Predictability and the relationship between subseasonal and interannual variability during the Asian Summer Monsoon. Q J Roy Meteorol Soc 126:2545–2574

    Article  Google Scholar 

  37. Sundqvist H, Berge E, Kristjansson JE (1989) Condensation and cloud parameterization studies with a mesoscale numerical weather prediction model. Mon Weather Rev 117: 1641–1657.https://doi.org/10.1175/1520-0493(1989)117%3C1641:CACPSW%3E2.0.CO;2.

    Article  Google Scholar 

  38. Tromeur E, Rossow WB (2010) Interaction of tropical deep convection with the large-scale circulation in the MJO. J Clim 23:1837–1853

    Article  Google Scholar 

  39. Waliser DE, Jin K, Kang I-S, Stern WF, Schubert SD, Wu MLC, Lau K-M, Lee M-I, Krishnamurthy V, Kitoh A, Meehl GA, Galin VY, Satyan V, Mandke SK, Wu G, Liu Y, Park C-K (2003) AGCM simulations of intraseasonal variability associated with the Asian summer monsoon. Clim Dyn 21:423–446. https://doi.org/10.1007/s00382-003-0337-1

    Article  Google Scholar 

  40. Wang B, Xie X (1997) A model for the boreal summer intraseasonal oscillation. J Atmos Sci 54:72–86

    Article  Google Scholar 

  41. Wang B, Webster PJ, Teng H (2005) Anteceedents and self induction of active-break south Asian monsoon unraveled by satellites. Geo Res Lett 32:L04704. https://doi.org/10.1029/2004GL020996

    Article  Google Scholar 

  42. Webster PJ (1983) Mechanisms of monsoon low-frequency variability: surface hydrological effects. J Atmos Sci 40:2110–2124

    Article  Google Scholar 

  43. Webster PJ, Hoyos C (2004) Prediction of monsoon rainfall and river discharge on 15–30 day time scales. Bull Amer Meteorol Soc 85(11):1745–1765

    Article  Google Scholar 

  44. Wong S, Fetzer EJ, Tian B, Lambrigtsen B (2011) The apparent water vapor sinks and heat sources associated with the intraseasonal oscillation of the Indian summer monsoon. J Clim 24:4466–4479

    Article  Google Scholar 

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

    Article  Google Scholar 

  46. Yang B, Fu X, Wang B (2008) Atmosphere-ocean conditions jointly guide convection of the boreal summer intraseasonal oscillation: satellite observations. J Geophys Res 113:D11105. https://doi.org/10.1029/2007JD009276

    Article  Google Scholar 

  47. Yasunari T (1979) Cloudiness fluctuation associated with the Northern Hemisphere summer monsoon. J Meterol Soc Jpn 57:227–242

    Article  Google Scholar 

  48. Zhang CD (2005) Madden–Julian Oscillation. Rev Geophys 43:RG2003. https://doi.org/10.1029/2004RG000158

    Article  Google Scholar 

  49. Zhao Q, Carr FH (1997) A prognostic cloud scheme for operational NWP models. Mon Weather Rev 125:1931–1953

    Article  Google Scholar 

Download references

Acknowledgements

IITM, Pune is fully funded by the Ministry of Earth Sciences (MoES), Government of India, New Delhi. Authors are grateful to the anonymous reviewers and editor for their constructive comments which have helped to improve the manuscript. We would like to thank NASA for providing TRMM data sets. All model runs are carried out on MoES “Aditya” High Performance Computing (HPC) system at IITM, Pune, India. The model simulation is archived at “Aditya” HPC and available on request from the corresponding author.

Author information

Affiliations

Authors

Corresponding author

Correspondence to P. Mukhopadhyay.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Ganai, M., Mukhopadhyay, P., Krishna, R.P.M. et al. Revised cloud and convective parameterization in CFSv2 improve the underlying processes for northward propagation of Intraseasonal oscillations as proposed by the observation-based study. Clim Dyn 53, 2793–2805 (2019). https://doi.org/10.1007/s00382-019-04657-9

Download citation