Abstract
While large-scale circulation fields from atmospheric reanalyses have been widely used to study the tropical intraseasonal variability, rainfall variations from the reanalyses are less focused. Because of the sparseness of in situ observations available in the tropics and strong coupling between convection and large-scale circulation, the accuracy of tropical rainfall from the reanalyses not only measures the quality of reanalysis rainfall but is also to some extent indicative of the accuracy of the circulations fields. This study analyzes tropical intraseasonal rainfall variability in the recently completed NCEP Climate Forecast System Reanalysis (CFSR) and its comparison with the widely used NCEP/NCAR reanalysis (R1) and NCEP/DOE reanalysis (R2). The R1 produces too weak rainfall variability while the R2 generates too strong westward propagation. Compared with the R1 and R2, the CFSR produces greatly improved tropical intraseasonal rainfall variability with the dominance of eastward propagation and more realistic amplitude. An analysis of the relationship between rainfall and large-scale fields using composites based on Madden-Julian Oscillation (MJO) events shows that, in all three NCEP reanalyses, the moisture convergence leading the rainfall maximum is near the surface in the western Pacific but is above 925 hPa in the eastern Indian Ocean. However, the CFSR produces the strongest large-scale convergence and the rainfall from CFSR lags the column integrated precipitable water by 1 or 2 days while R1 and R2 rainfall tends to lead the respective precipitable water. Diabatic heating related to the MJO variability in the CFSR is analyzed and compared with that derived from large-scale fields. It is found that the amplitude of CFSR-produced total heating anomalies is smaller than that of the derived. Rainfall variability from the other two recently produced reanalyses, the ECMWF Re-Analysis Interim (ERAI), and the Modern Era Retrospective-analysis for Research and Applications (MERRA), is also analyzed. It is shown that both the ERAI and MERRA generate stronger rainfall spectra than the R1 and more realistic dominance of eastward propagating variance than R2. The intraseasonal variability in the MERRA is stronger than that in the ERAI but weaker than that in the CFSR and CMORPH.
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References
Agudelo PA, Curry JA, Hoyos CD, Webster PJ (2006) Transition between suppressed and active phases of intraseasonal oscillations in the Indo-Pacific warm pool. J Clim 19:5519–5530
Benedict JJ, Randall DA (2007) Observed characteristics of the MJO relative to maximum rainfall. J Atmos Sci 64:2332–2354. doi:10.1175/JAS3968.1
Chang CP, Lim H (1988) Kelvin wave-CISK: a possible mechanism for the 30–50-day oscillations. J Atmos Sci 45:1709–1720
CLIVAR Madden–Julian Oscillation Working Group (2009) MJO simulation diagnostics. J Clim 22:3006–3030. doi:10.1175/2008JCLI2731.1
Fu X, Wang B (2009) Critical role of stratiform rainfall in sustaining the Madden-Julian Oscillation: GCM experiments. J Clim 22:3939–3959. doi:10.1175/2009JCLI2610.1
Fu X, Wang B, Bao Q, Liu P, Lee JY (2009) Impacts of initial conditions on monsoon intraseasonal forecasting. Geophys Res Lett 36:L08801. doi:10.1029/2009GL037166
Fu X, Wang B, Lee JY, Wang W, Gao L (2010) Better initial conditions significantly improve intraseasonal prediction. Mon Weather Rev (submitted)
Hendon HH, Liebmann B, Newmann M, Glick JD, Schemm JE (2000) Medium-range forecast errors associated with active episodes of the Madden-Julian Oscillation. Mon Weather Rev 128:69–86
Hong SY, Pan HL (1998) Convective trigger function for a mass-flux cumulus parameterization scheme. Mon Weather Rev 126:2599–2620
Inness PM, Slingo JM, Woolnough SJ, Neale RB, Pope VD (2001) Organization of tropical convection in a GCM with varying verticalresolution: implications for the simulation of the Madden–Julian oscillation. Clim Dyn 17:777–793
Janowiak JE, Bauer P, Wang W, Arkin PA, Gottschalck J (2010) An evaluation of precipitation forecasts from operational models and reanalyses including precipitation variations associated with MJO activity. Mon Weather Rev 138:4542–4560
Jiang X, Waliser DE, Olson WS, Tao WK, L’Ecuyer TS, Li JL, Tian BJ, Yung YL, Tompkins AM, Lang SE, Grecu M (2009) Vertical heating structures associated with the MJO as characterized by TRMM estimates, ECMWF reanalyses and forecasts: a case study during 1998–99 winter. J Clim 22:6001–6020. doi:10.1175/2009JCLI3048.1
Johnson RH, Rickenbach TM, Rutledge SA, Ciesielski PE, Schubert WH (1999) Trimodal characteristics of tropical convection. J Clim 12:2397–2418
Jones C, Carvalho LMV, Higgins RW, Waliser DE, Schemm JKE (2004) A statistical forecast model of tropical intraseasonal convective anomalies. J Clim 17:2078–2095. doi:10.1175/1520-0442(2004)017
Joyce RJ, Janowiak JE, Arkin PA, Xie P (2004) CMORPH: a method that produces global precipitation estimates from passive microwave and infrared data at high spatial and temporal resolution. J Hydrometeoro 5:487–503
Kalnay E, et al (1996) The NCEP/NCAR 40-Year Reanalysis Project. Bull Am Meteor Soc 77:437–471
Kanamitsu M, Ebisuzaki W, Woolen J, Yang SK, Hnilo J, Fiorino M, Potter GL (2002) NCEP–DOE AMIP-II Reanalysis (R-2). Bull Am Meteor Soc 83:1631–1643
Kang IS, Kim HM (2010) Assessment of MJO predictability for boreal winter with various statistical and dynamical models. J Clim 23:2368–2378. doi:10.1175/2010JCLI3288.1
Kemball-Cook S, Weare BC (2001) The onset of convection in the Madden-Julian Oscillation. J Clim 14:780–793
Kim D, Sperber K, Stern W, Waliser D, Kang I, Maloney E, Wang W, Weickmann K, Benedict J, Khairoutdinov M (2009) Application of MJO simulation diagnostics to climate models. J Clim 22:6413–6436. doi:10.1175/2009JCLI3063.1
Lau KM, Peng L (1987) Origin of low-frequency (intraseasonal) oscillations in the tropical atmosphere. Part I: Basic theory. J Atmos Sci 44:950–972
Li C, Jia X, Ling J, Zhou W, Zhang C (2009) Sensitivity of MJO simulations to convective heating profiles. Clim Dyn 32:167–187
Liebmann B, Smith CA (1996) Dscription of a complete (interpolated) outgoing longwave radiation dataset. Bull Am Meteor Soc 77:1275–1277
Lin JL, Mapes BE, Zhang MH, Newman M (2004) Stratiform precipitation, vertical heating profiles, and the Madden–Julian oscillation. J Atmos Sci 61:296–309
Lin JL, Kiladis GN, Mapes BE, Weickmann KM, Sperber KR, Lin WY, Wheeler M, Schubert SD, Genio AD, Donner LJ, Emori S, Gueremy JF, Hourdin F, Rasch PJ, Roeckner E, Scinocca JF (2006) Tropical intraseasonal variability in 14 IPCC AR4 climate models. Part I: Convective signals. J Clim 19:2665–2690
Lin JL, Lee MI, Kim D, Kang IS, Frierson D (2008) The impacts of convective parameterization and moisture triggering on AGCM-simulated convectively coupled equatorial waves. J Clim 21:883–909. doi:10.1175/2007JCLI1790.1
Ling J, Zhang C (2011) Structural evolution in heating profiles of the MJO in global reanalyses and TRMM retrievals. J Clim 24:825–842. doi:10.1175/2010JCLI3826.1
Maloney E, Hartmann D (1998) Frictional moisture convergence in a composite life cycle of the Madden–Julian oscillation. J Clim 11:2387–2403
Pegion K, Kirtman B (2008) The impact of Air–Sea interactions on the predictability of the tropical intraseasonal oscillation. J Clim 21:5870–5886
Saha S et al (2006) The NCEP climate forecast system. J Clim 19:3483–3517
Saha S et al (2010) The NCEP climate forecast system reanalysis. Bull Am Meteor Soc 8:1015–1058. doi:10.1175/2010BAMS3001.1
Seo KH, Kim KY (2003) Propagation and initiation mechanisms of the Madden-Julian oscillation. J Geophys Res 108:4384–4405
Seo KH, Wang W (2010) The Madden-Julian oscillation simulated in the NCEP climate forecast system model: the importance of stratiform heating. J Clim 23:4770–4793. doi:10.1175/2010JCLI2983.1
Seo KH, Wang W, Gottschalck J, Zhang Q, Schemm JKE, Higgins WR, Kumar A (2009) Evaluation of MJO forecast skill from several statistical and dynamical forecast models. J Clim 22:2372–2388. doi:10.1175/2008JCLI2421.1
Shinoda T, Hendon HH, Glick J (1999) Intraseasonal surface fluxes in the tropical western Pacific and Indian Oceans from NCEP reanalysis. Mon Weather Rev 127:678–693
Tokioka T, Yamazaki K, Kitoh A, Ose T (1988) The equatorial 30–60-day oscillation and the Arakawa-Schubert penetrative cumulus parameterization. J Meteor Soc Jpn 66:883–901
van den Dool H, Saha S (2004) Analysis of propagating modes in the tropics in short AMIP runs. In: Proceedings of the WCRP/WGNE workshop on the second phase of the atmospheric model intercomparison project (AMIP2), Meteo-France, Toulouse, France 11.14 November, 2002, pp 87–91. (Edited by P. Gleckler August 16, 2004, UCRL-PROC-209115)
Waliser DE, Lau KM, Stern W, Jones C (2003) Potential predictability of the Madden–Julian oscillation. Bull Am Meteor Soc 84:33–50
Wang W, Schlesinger ME (1999) The dependence on convection parameterization of the tropical intraseasonal oscillation simulated by the UIUC 11-layer atmospheric GCM. J Clim 12:1423–1457
Wang W, Xie P, Yoo SH, Xue Y, Kumar A, Wu X (2010) An assessment of the surface climate in the NCEP climate forecast system reanalysis. Clim Dyn, doi:10.1007/s00382-010-0935-7
Weaver SJ, Wang W, Chen M, Kumar A (2011) Representation of MJO variability in the NCEP climate forecast system. J Clim (submitted)
Wu R, Kirtman BP, Pegion K (2008) Local rainfall-SST relationship on subseasonal time scales in satellite observations and CFS. Geophys Res Lett 35:L22706. doi:10.1029/2008GL035883
Yanai M, Esbensen S, Chu JH (1973) Determination of bulk properties of tropical cloud clusters from large-scale heat and moisture budgets. J Atmos Sci 30:611–627
Zhang C (2005) Madden-Julian Oscillation. Rev Geophys 43:1–36, RG2003. doi:10.1029/2004RG000158
Zhang C, Dong M, Gualdi S, Hendon HH, Maloney ED, Marshall A, Sperber KR, Wang W (2006) Simulations of the Madden-Julian oscillation in four pairs of coupled and uncoupled global models. Clim Dyn 27:573–592
Zhang C, Ling J, Hagos S, Tao WK, Lang S, Takayabu YN, Shinge S, Katsumata M, Olson WS, L’Ecuyer T (2010) MJO signals in latent heating: results from TRMM retrievals. J Atom Sci 67:3488–3508. doi:10.1175/2010JAS3398.1
Acknowledgments
Leigh Zhang helped offload and prepare MERRA data. We greatly appreciate the constructive internal reviews by Huug van den Dool and FangLin Yang. XH Fu is supported by JAMSTEC, NOAA, and NASA through the IPRC, whose contribution is as IPRC No. 780 and SOEST No. 8143. KH Seo was funded by the Korea Meteorological Administration Research and Development Program under Grant CATER 2007-4208.
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Wang, J., Wang, W., Fu, X. et al. Tropical intraseasonal rainfall variability in the CFSR. Clim Dyn 38, 2191–2207 (2012). https://doi.org/10.1007/s00382-011-1087-0
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DOI: https://doi.org/10.1007/s00382-011-1087-0