Abstract
Using pentad rainfall data we demonstrate the benefits of using accumulated rainfall and fractional accumulated rainfall for the evaluation of the annual cycle of rainfall over various monsoon domains. Our approach circumvents issues related to using threshold-based analysis techniques for investigating the life-cycle of monsoon rainfall. In the Coupled Model Intercomparison Project-5 models we find systematic errors in the phase of the annual cycle of rainfall. The models are delayed in the onset of summer rainfall over India, the Gulf of Guinea, and the South American Monsoon, with early onset prevalent for the Sahel and the North American Monsoon. This, in combination with the rapid fractional accumulation rate, impacts the ability of the models to simulate the fractional accumulation observed during summer. The rapid fractional accumulation rate and the time at which the accumulation begins are metrics that indicate how well the models concentrate the monsoon rainfall over the peak rainfall season, and the extent to which there is a phase error in the annual cycle. The lack of consistency in the phase error across all domains suggests that a “global” approach to the study of monsoons may not be sufficient to rectify the regional differences. Rather, regional process studies are necessary for diagnosing the underlying causes of the regionally-specific systematic model biases over the different monsoon domains. Despite the afore-mentioned biases, most models simulate well the interannual variability in the date of monsoon onset, the exceptions being models with the most pronounced dry biases. Two methods for estimating monsoon duration are presented, one of which includes nonlinear aspects of the fractional accumulation. The summer fractional accumulation of rainfall provides an objective way to estimate the extent of the monsoon domain, even in models with substantial dry biases for which monsoon is not defined using threshold-based techniques.
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Notes
The rapid fractional accumulation refers to the linear growth regime that occurs for fractional accumulations of 0.2–0.8 (0.2–0.6 for the Gulf of Guinea). The linear slope of the rapid fractional accumulation and the time at which the rapid fractional accumulation begins are skill metrics for validating the rainfall accumulation rate and the annual cycle phase during the monsoon. See Sect. 3.2 for more details.
Early onset is also found for the broader Sahel domain (15°W–37.5°E, 12.5°N–17.5°N) used in the model analysis of Rowell et al. (1992).
References
Ananthakrishnan R, Soman MK (1988) The onset of the southwest monsoon over Kerala: 1901–1980. J Climatol 8:283–296
Annamalai H, Mehari M, Sperber KR (2014) A recipe for ENSO-monsoon diagnostics in CMIP5 models. J Clim (in preparation)
Bambardi RJ, Caravalho LMV (2009) IPCC global coupled model simulations of the South America monsoon system. Clim Dyn 33:893–916. doi:10.1007/s00382-008-0488-1
Carvalho LMV, Jones C, Posadas AND, Quiroz R, Bookhagen B, Liebmann B (2012) Precipitation characteristics of the South American monsoon system derived from multiple datasets. J Clim 25:4600–4620. doi:10.1175/JCLI-D-11-00335.1
Coleman RA, Moise AF, Hanson LI (2011) Tropical Australian climate and Australian monsoon as simulated by 23 CMIP3 models. J Geophys Res 116:D10116. doi:10.1029/2010JD015149
Cook KH, Meehl GA, Arblaster JM (2012) Monsoon regimes and processes in CCSM4. Part II: African and American monsoon systems. J Clim 25:2609–2621. doi:10.1175/JCLI-D-11-00185.1
Gleckler PJ, Sperber KR, AchutaRao K (2006) Annual cycle of global ocean heat content: observed and simulated. J Geophys Res 111:C06008. doi:10.1029/2005JC003223
Grimm AM (2003) The El Nino impact on the summer monsoon in Brazil: regional processes versus remote influences. J Clim 16:263–280
Hourdin F, Musat I, Grandpeix J-Y, Polcher J, Guichard F, Favot F, Marquet P, Boone A, Lafore J-P, Redelsperger J-L, Ruti PM, Dell’aquila A, Filiberti M-A, Pham M, Doval TL, Traore AK, Gallee H (2010) AMMA-model intercomparison project. Bull Am Meteorol Soc 91:95–104. doi:10.1175/2009BAMS2791.1
Huffman GJ, Adler RF, Arkin P, Chang A, Ferraro R, Gruber A, Janowiak J, McNab A, Rudolf B, Schneider UJ (1997) The global precipitation climatology project (GPCP) combined precipitation dataset. Bull Am Meteorol Soc 78:5–20
Jones C, Carvahlo LMV (2013) Climate change in the South American monsoon system: present climate and CMIP5 projections. J Clim. doi:10.1175/JCLI-D-12-00412.1
Joseph PV, Eischeid JJ, Pyle RJ (1994) Interannual variability of the onset of the Indian summer monsoon and its association with atmospheric features, El Nino, and sea surface temperature anomalies. J Clim 7:81–105
Kirkyla KI, Hameed S (1989) Harmonic analysis of the seasonal cycle in precipitation over the United States: a comparison between observations and a general circulation model. J Clim 2:1463–1475
Li CF, Yanai M (1996) The onset and interannual variability of the Asian summer monsoon in relation to land sea thermal contrast. J Clim 9:358–375
Liebmann B, Marengo JA (2001) Interannual variability of the rainy season and rainfall in the Brazilian Amazon basin. J Clim 14:4308–4318
Matsumoto J (1997) Seasonal transition of summer rainy season over Indochina and adjacent monsoon regions. Adv Atmos Sci 14:231–245
Nicholson SE (1980) The nature of rainfall fluctuations in subtropical West Africa. Mon Weather Rev 108:473–487
Rowell DP, Folland CK, Maskall K, Owen JA, Ward MN (1992) Modelling the influence of global sea surface temperatures on the variability and predictability of seasonal Sahel rainfall. Geophys Res Lett 19:905–908
Sperber KR, Palmer TN (1996) Interannual tropical rainfall variability in general circulation model simulations associated with the atmospheric model intercomparison project. J Clim 9:2727–2750
Sperber KR, Annamalai H, Kang I-S, Kitoh A, Moise A, Turner A, Wang B, Zhou T (2013) The Asian summer monsoon: an intercomparison of CMIP5 vs. CMIP3 simulations of the late 20th century. Clim Dyn 41:2711–2744. doi:10.1007/s00382-012-1607-6
Taylor KE, Stouffer RJ, Meehl GA (2012) An overview of CMIP5 and the experiment design. Bull Am Meteorol Soc 93:485–498. doi:10.1175/BAMS-D-11-00094.1
Vera C, Higgins W, Amador J, Ambrizzi T, Garreaud R, Gochis D, Gutzler D, Lettenmaier D, Marengo J, Mechoso CR, Nogues-Paegle J, Silva Dias PL, Zhang C (2006) Toward a unified view of the American monsoon systems. J Clim 19:4977–5000
Vizy EK, Cook KH, Cretat J, Neupane N (2013) Projections of a wetter Sahel in the twenty-first century from global and regional models. J Clim 26:4664–4687. doi:10.1175/JCLI-D-12-00533.1
Wang B, Ding Q (2008) Global monsoon: dominant mode of annual variation in the tropics. Dyn Atmos Oceans 44:165–183. doi:10.1016/j.dynatmoce.2007.05.002
Wang B, LinHo (2002) Rainy season of the Asian-Pacific summer monsoon. J Clim 15:386–398
Webster PJ, Magana VO, Palmer TN, Shukla J, Tomas RA, Yanai M, Yasunari T (1998) Monsoons: processes, predictability, and the prospects for prediction. J Geophys Res C7(103):14451–14510
Xie PP, Arkin PA (1997a) Global pentad precipitation analysis based on gauge observations, satellite estimates and model outputs. Extended abstracts, American Geophysical Union 1997 Fall meeting, San Francisco, CA, American Geophysical Union
Xie PP, Arkin PA (1997b) Global precipitation: a 17-year monthly analysis based on gauge observations, satellite estimates, and numerical model outputs. Bull Am Meteorol Soc 78:2539–2558
Xie PP, Janowiak JE, Arkin PA, Adler R, Gruber A, Ferraro R, Huffman GJ, Curtis S (2003) GPCP pentad precipitation analyses: an experimental dataset based on gauge observations and satellite estimates. J Clim 16:2197–2214
Yin L, Fu R, Shevliakova E, Dickinson RE (2012) How well can CMIP5 simulate precipitation and its controlling processes over tropical South America. Clim Dyn. doi:10.1007/s00382-012-1582-y
Acknowledgments
We thank the reviewers for bringing to our attention additional relevant literature, and for suggesting enhancements and clarifications that have improved the paper. We thank Charles Jones for input on the selection of the area-averaged SAM domain. K. R. Sperber was supported by the Office of Science (BER), U.S. Department of Energy through Lawrence Livermore National Laboratory contract DE-AC52-07NA27344. H. Annamalai was supported by the Office of Science (BER) U.S. Department of Energy, Grant DEFG02-07ER6445, and also by three institutional grants (JAMSTEC, NOAA and NASA) of the International Pacific Research Center. We acknowledge the World Climate Research Programme’s Working Group on Coupled Modelling, which is responsible for CMIP, and we thank the climate modeling groups (listed in Table 1 of this paper) for producing and making available their model output. For CMIP the U.S. Department of Energy’s Program for Climate Model Diagnosis and Intercomparison provides coordinating support and led development of software infrastructure in partnership with the Global Organization for Earth System Science Portals.
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Sperber, K.R., Annamalai, H. The use of fractional accumulated precipitation for the evaluation of the annual cycle of monsoons. Clim Dyn 43, 3219–3244 (2014). https://doi.org/10.1007/s00382-014-2099-3
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DOI: https://doi.org/10.1007/s00382-014-2099-3