Abstract
A major sub-seasonal variability of the tropics and sub-tropics, the quasi-biweekly mode (QBM), is known to have significant influence on the seasonal mean of the south Asian monsoon rainfall. A coupled Atmosphere–Ocean General Circulation Model (AOGCM) being essential for seasonal prediction, the ability of the AOGCMs in simulating the space–time characteristics with fidelity is critical for successful seasonal prediction of the south Asian monsoon in particular and seasonal prediction in the tropics in general. However, strength and weaknesses in simulating the QBM by AOGCMs have remained poorly investigated so far. Here, we examine the simulation of the QBM in AOGCM and show that improvement of parameterizations of both convection and microphysics is required to improve the simulation of the QBM. While the standard version of the model overestimates the variance of QBM and simulates a smaller scale Rossby waves (n = 1), the modified version of the model where the simple Arakawa–Schubert (SAS) convection parameterization is combined with a new improved microphysics parameterization (MCMv.1) proposed by us, simulates a more realistic space–time characteristics of the QBM. In yet another version of the model, we combine the new SAS with the new improved microphysics parameterization. Interestingly, this version of the model also simulates the space–time structure poorly with poor westward propagation and fragmented organization, but it simulates a reasonable variance. These results indicate that a synergy among the convective parameterization and microphysics parameterizations is critical in simulating the QBM in particular and equatorial waves in general. We show that most the biases in simulating the QBM may be related to the biases of the model in simulating the stratiform fraction of precipitation. While the simulation of the space–time characteristics of QBM is better simulated in the MCMv.1, the convective coupling is still too strong as compared to observations, an area for future improvement of the model.
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References
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
Adler RF, Huffman GJ, Chang A, Ferraro R, Xie PP, Janowiak J, Nelkin E et al (2003) The version 2 global precipitation climatology project (GPCP) monthly precipitation analysis (1979–present). J Hydrometeorol 4:1147–1167
Ahmed F, Schumacher C (2015) Convective and stratiform components of the precipitation–moisture relationship. Geophys Res Lett 42:10453–10462. https://doi.org/10.1002/2015GL066957
Betts AK, Miller MJ (1986) A new convective adjustment scheme. Part II: single column tests using GATE wave, BOMEX, ATEX and Arctic air-mass data sets. Q J R Meteorol Soc 112:693–709
Bombardi R, Tawfik A, Manganello J, Marx L, Shin C-S, Halder S, Schneider E, Dirmeyer P, Kinter J (2016) The heated condensation framework as a convective trigger in the NCEP Climate Forecast System version 2. J Adv Model Earth Syst. https://doi.org/10.1002/2016MS000668
Chatterjee P, Goswami BN (2004) Structure, genesis and scale selection of the tropical quasi-biweekly mode. Q J R Meteorol Soc 130:1171–1194
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
Chaudhari HS, Hazra A, Pokhrel S, Saha SK, Taluri SS (2018) Simulation of extreme Indian summer monsoon years in Coupled Model Intercomparison Project Phase 5 models: role of cloud processes. Int J Climatol. https://doi.org/10.1002/joc.5851
Chen T-C, Chen J-M (1993) The 10–20 day mode of the 1979 Indian monsoon: its relation with time variation of monsoon rainfall. Mon Weather Rev 121:2465–2482
Chen G, Sui C-H (2010) Characteristics and origin of quasi bi-weekly oscillation over the western North Pacific during boreal summer. J Geophys Res 115:D14113. https://doi.org/10.1029/2009JD013389
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 Transf 91:233–244
Dai A (2006) Precipitation characteristics in eighteen coupled climate models. J Clim 19:4605–4629
Duchon CE (1979) Lanczos filtering in one and two dimensions. J Appl Meteorol 18:1016–1022
Ek MB, 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 1089(D22):8851. https://doi.org/10.1029/2002JD003296
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
Goswami BN (2012) South Asian monsoon.In W. K.-M. Lau & D. E. Waliser (Eds.), South Asian monsoon (pp. 21–72). Berlin: Springer
Goswami B, Khouider B, Phani MK, Mukhopadhyay P, Majda AJ (2017) Implementation and calibration of a stochastic multicloud convective parameterization in the NCEP Climate Forecast System (CFSv2). J Adv Model Earth Syst. https://doi.org/10.1002/2017MS001014
Griffies SM, Harrison MJ, Pacanowski RC, Rosati A (2004) A technical guide to MOM4, GFDL ocean group technical report 5, GFDL, p 337
Han J, Pan H-L (2011) Revision of convection and vertical diffusion schemes in the NCEP global forecast system. Weather Forecast 26:520–533
Hayashi Y (1982) Space-time spectral analysis and its applications to the atmospheric waves. J Meteorol Soc Jpn 60:156–171
Hazra A, Chaudhari HS, Rao SA, Goswami BN, Dhakate A, Pokhrel S, Saha SK (2015) Impact of revised cloud microphysical scheme in CFSv2 on the simulation of the Indian summer monsoon. Int J Climatol 35:4738–4755
Hazra A, Chaudhari HS, Pokhrel S, Saha SK (2016) Indian summer monsoon precipitating clouds: role of microphysical process rates. Clim Dyn 46:2551–2571
Hazra A, Chaudhari HS, Saha SK, Pokhrel S (2017a) Effect of cloud microphysics on Indian summer monsoon precipitating clouds: a coupled climate modeling study. J Geophys Res Atmos 122:3786–3805. https://doi.org/10.1002/2016JD026106
Hazra A, Chaudhari HS, Saha SK, Pokhrel S, Goswami BN (2017b) Progress towards achieving the challenge of Indian summer monsoon climate simulation in a coupled ocean-atmosphere model. J Adv Model Earth Syst 9:2268–2290. https://doi.org/10.1002/2017MS000966
Hong SY, Pan HL (1998) Convective trigger function for a mass flux cumulus parameterization scheme. Mon Weather Rev 126:2599–2620
Hu W-T, Li T (2017) Local intraseasonal air–sea relationship over the North Indian Ocean and western North Pacific during the spring-to-summer transition. Atmos Ocean Sci Lett 10:65–72. https://doi.org/10.1080/16742834.2017.1235463
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
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 105:14873–14890
Kikuchi K, Wang B (2009) Global perspective of the quasibiweekly oscillation. J Clim 22:1340–1359. https://doi.org/10.1175/2008JCLI2368.1
Kiladis G, Wheeler M (1995) Horizontal and vertical structure of observed tropospheric equatorial Rossby waves. J Geophys Res 100(D11):22981–22997
Kim YJ, Arakawa A (1995) Improvement of orographic gravity wave parameterization using a meso-scale gravity wave model. J Atmos Sci 52:1875–1902
Krishnamurti TN, Ardanuy P (1980) The 10 to 20-day westward propagating mode and “Breaks in the Monsoons”. Tellus 32(1):15–26. https://doi.org/10.3402/tellusa.v32i1.10476
Krishnamurti TN, Bhalme HN (1976) Oscillations of a monsoon system, part I: observational aspects. J Atmos Sci 33:1937–1954
Kumar S, Arora A, Chattopadhyay R, Hazra A, Rao AS, Goswami BN (2017) Seminal role of stratiform clouds in large-scale aggregation of tropical rain in boreal summer monsoon intraseasonal oscillations. Clim Dyn 48:999–1015
Lott F, Miller MJ (1997) A new subgrid-scale orographic drag parametrization: its formulation and testing. Q J R Meteorol Soc 123:101–127
Murakami T (1975) Cloudiness fluctuations during summer monsoon. J Meteorol Soc Jpn 54:175–181
Numaguti A (1995) Characteristics of 4- to 20-day period disturbances observed in the equatorial Pacific during the TOGA COARE IOP. J Meteorol Soc Jpn 73:353–377
Pathak R, Sahany S, Mishra SK, Dash SK (2019) Precipitation biases in CMIP5 models over the south Asian region. Sci Rep 9:9589. https://doi.org/10.1038/s41598-019-45907-4
Pokhrel S, Hazra A, Chaudhari HS, Saha SK, Paulose F, Sujith K, Phani MK, Rao SA (2018) Hindcast skill improvement in Climate Forecast System (CFSv2) using modified cloud scheme. Int J Climatol. https://doi.org/10.1002/joc.5478
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. https://doi.org/10.1002/jgrd.50403
Sabeerali CT, Rao SA, Dhakate AR et al (2015) Why ensemble mean projection of south Asian monsoon rainfall by CMIP5 models is not reliable? Clim Dyn 45:161. https://doi.org/10.1007/s00382-014-2269-3
Saha S, Moorthi S, Pan H-L, Wu X, Wang J, Nadiga S, Goldberg M et al (2010) The NCEP climate forecast system reanalysis. Bull Amer Meteorol Soc 91:1015–1057
Saha S, Moorthi S, Wu X, Wang J, Nadiga S, Tripp P, Becker E et al (2014a) The NCEP climate forecast system version 2. J Climate 27:2185–2208
Saha SK, Pokhrel S, Chaudhari HS, Dhakate A, Shewale S, Sabeerali CT, Rao SA et al (2014b) Improved simulation of Indian summer monsoon in latest NCEP climate forecast system free run. Int J Climatol 34:1628–1641
Saha SK, Sujith K, Pokhrel S, Chaudhari HS, Hazra A (2017) Effects of multilayer snow scheme on the simulation of snow: offline Noah and coupled with NCEP CFSv2. J Adv Model Earth Syst 9:1–20. https://doi.org/10.1002/2016MS000845
Saha SK, Hazra A, Pokhrel S, Chaudhari HS, Sujith K, Rai A, Rahaman H, Goswami BN (2019) Unraveling the mystery of Indian summer monsoon prediction: improved estimate of predictability limit. J Geophys Res. https://doi.org/10.1029/2018JD030082
Schumacher C, Houze RA Jr, Kraucunas I (2004) The tropical dynamical response to latent heating estimates derived from the TRMM Precipitation Radar. J Atmos Sci 61:1341–1358
Sengupta D, Senan R, Murty VSN, Fernando V (2004) A biweekly mode in the equatorial Indian Ocean. J Geophys Res 109:C10003. https://doi.org/10.1029/2004JC002329
Sundqvist H (1988) Parameterization of condensation and associated clouds in models for weather prediction and general circulation simulation. In: Schlesinger ME (ed) Physically-based modelling and simulation of climate and climatic change: part I. Kluwer Acad., Springer, Amsterdam, pp 433–461
Sundqvist H, Berge E, Kristjansson JE (1989) Condensation and cloud studies with mesoscale numerical weather prediction model. Mon Weather Rev 117:1641–1757
Teng H, Wang B (2003) Interannual variations of the Boreal summer intraseasonal oscillation in the Asian-Pacific region. J Clim 16:3572–3584
Wang B, Ding Q, Fu X, Kang I-S, Jin K, Shukla J, Doblas-Reyes F (2005) Fundamental challenge in simulation and prediction of summer monsoon rainfall. Geophys Res Lett 32:L15711. https://doi.org/10.1029/2005GL022734
Webster PJ, Magafia VO, Palmer TN, Shukla J, Tomas RA, Yanai M, Yasunari T (1998) Monsoons: processes, predictability and the prospectus for prediction. J Geophys Res 103:14451–14510
Wheeler M, Kiladis G (1999) Convectively coupled equatorial waves: analysis of clouds and temperature in the wavenumber–frequency domain. J Atmos Sci 56:374–399
Wu X, Moorthi KS, Okomoto K, Pan HL (2005) Sea ice impacts on GFS forecasts at high latitudes. In: Eighth conference on polar meteorology and oceanography. American Meteorological Society, San Diego, 7.4
Yanai M, Esbensen S, Chu J (1973) Determination of the bulk properties of tropical cloud clusters from large heat and moisture budgets. J Atmos Sci 30:611–627
Ye K, Wu R (2015) Contrast of local air–sea relationships between 10–20-day and 30–60-day intraseasonal oscillations during May–September over the South China Sea and Western North Pacific. Clim Dyn 45:3441–3459. https://doi.org/10.1007/s00382-015-2549-6
Yin L, Fu R, Shevliakova E, Dickinson RE (2013) How well can CMIP5 simulate precipitation and its controlling processes over tropical South America? Clim Dyn 41:3127–3143. https://doi.org/10.1007/s00382-012-1582-y
Zhao QY, Carr FH (1997) A prognostic cloud scheme for operational NWP models. Mon Weather Rev 125:1931–1953
Acknowledgements
Indian Institute of Tropical Meteorology (IITM), Pune, is fully funded by the Ministry of Earth Sciences (MoES), Government of India, New Delhi. We thank MoES and Director IITM, HPCS for all the support to carry out this work. We also thank NCEP for providing initial conditions and modeling support. BNG is grateful to the Science and Engineering Research Board (SERB), Govt. India for a Fellowship. The model simulation is also archived at ‘Aaditya’ HPC system at IITM and available on request from the corresponding author. The authors have no conflicts of interest to declare. Authors are grateful to reviewers for their insightful comments, which help to improve the manuscript.
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Hazra, A., Chaudhari, H.S., Saha, S.K. et al. Role of cloud microphysics in improved simulation of the Asian monsoon quasi-biweekly mode (QBM). Clim Dyn 54, 599–614 (2020). https://doi.org/10.1007/s00382-019-05015-5
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Keywords
- Indian summer monsoon
- Quasi-biweekly mode (QBM)
- CFSv2
- Modified convective microphysics