On the enhancement of the Indian summermonsoon drying by Pacific multidecadal variability during the latter half of the twentieth century

Journal of Geophysical Research

Volumn 120, Issue 18, 2015, Pages 9103-9118

  Salzmann, M ^a   Cherian, R ^a  

^a UNIVERSITY OF LEIPZIG   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

AEROSOL; ANTHROPOGENIC SOURCE; CLIMATE MODELING; DRY SEASON; MONSOON; PACIFIC DECADAL OSCILLATION; PRECIPITATION (CLIMATOLOGY); SPATIOTEMPORAL ANALYSIS; SUMMER; TREND ANALYSIS; TWENTIETH CENTURY;

CHINA; INDIA; SOUTH CHINA BLOCK; SOUTHEAST ASIA;

EID: 84945485039     PISSN: 01480227     EISSN: 21562202     Source Type: Journal    
DOI: 10.1002/2015JD023313     Document Type: Article

References (38)

1. Alessandri, A., P. G. Fogli, M. Vichi, and N. Zeng (2012), Strengthening of the hydrological cycle in future scenarios: Atmospheric energy and water balance perspective, Earth Syst. Dyn., 3(2), 199-212, doi:10.5194/esd-3-199-2012.
2. Arora, V. K., J. F. Scinocca, G. J. Boer, J. R. Christian, K. L. Denman, G. M. Flato, V. V. Kharin, W. G. Lee, and W. J. Merryfield (2011), Carbon emission limits required to satisfy future representative concentration pathways of greenhouse gases, Geophys. Res. Lett., 38, L05805, doi:10.1029/2010GL046270.
3. Bentsen, M., et al. (2013), The Norwegian Earth System Model, NorESM1-M-Part 1: Description and basic evaluation of the physical climate, Geosci. Model Dev., 6(3), 687-720, doi:10.5194/gmd-6-687-2013.
4. Bi, D., et al. (2013), The ACCESS coupled model: Description, control climate and evaluation, Aust. Meteorol. Oceanogr. J., 63, 41-64.
5. Bollasina, M. A., Y. Ming, and V. Ramaswamy (2011), Anthropogenic aerosols and the weakening of the South Asian summer monsoon, Science, 334, 502-505, doi:10.1126/science.1204994.
6. Dong, B., and A. Dai (2015), The influence of the Interdecadal Pacific Oscillation on temperature and precipitation over the globe, Clim. Dyn., doi:10.1007/s00382-015-2500-x.
7. Donner, L. J., et al. (2011), The dynamical core, physical parameterizations, and basic simulation characteristics of the atmospheric component AM3 of the GFDL global coupled model CM3, J. Clim., 24(13), 3484-3519, doi:10.1175/2011JCLI3955.1.
8. Dufresne, J.-L., et al. (2013), Climate change projections using the IPSL-CM5 Earth System Model: From CMIP3 to CMIP5, Clim. Dyn., 40, 2123-2165, doi:10.1007/s00382-012-1636-1.
9. Dunne, J. P., et al. (2012), GFDL’s ESM2 global coupled climate-carbon Earth System Models. Part I: Physical formulation and baseline simulation characteristics, J. Clim., 25(19), 6646-6665, doi:10.1175/JCLI-D-11-00560.1.
10. Gent, P. R., et al. (2011), The Community Climate System Model version 4, J. Clim., 24(19), 4973-4991, doi:10.1175/2011JCLI4083.1.
11. Giorgetta, M. A., et al. (2013), Climate and carbon cycle changes from 1850 to 2100 in MPI-ESM simulations for the Coupled Model Intercomparison Project phase 5, J. Adv. Model. Earth Syst., 5(3), 572-597, doi:10.1002/jame.20038.
12. Gordon, C., C. Cooper, C. Senior, H. Banks, J. M. G. T. C. Johns, J. F. B. Mitchell, and R. A. Wood (2000), The simulation of SST, sea ice extents and ocean heat transports in a version of the Hadley Centre coupled model without flux adjustments, Clim. Dyn., 16(2-3), 147-168, doi:10.1007/s003820050010.
13. Ji, D., et al. (2014), Description and basic evaluation of Beijing Normal University Earth System Model (BNU-ESM) version 1, Geosci. Model Dev., 7(5), 2039-2064, doi:10.5194/gmd-7-2039-2014.
14. Kim, H.-M., P. J. Webster, and J. A. Curry (2012), Evaluation of short-term climate change prediction in multi-model CMIP5 decadal hindcasts, Geophys. Res. Lett., 39, L10701, doi:10.1029/2012GL051644.
15. Knutson, T. R., S. Manabe, and D. F. Gu (1997), Simulated ENSO in a global coupled ocean-atmosphere model: Multidecadal amplitude modulation and CO2 sensitivity, J. Clim., 10(1), 138-161.
16. Krishnamurthy, L., and V. Krishnamurthy (2014a), Decadal scale oscillations and trend in the Indian monsoon rainfall, Clim. Dyn., 43(1-2), 319-331, doi:10.1007/s00382-013-1870-1.
17. Krishnamurthy, L., and V. Krishnamurthy (2014b), Influence of PDO on South Asian summer monsoon and monsoon-ENSO relation, Clim. Dyn., 42(9-10), 2397-2410, doi:10.1007/s00382-013-1856-z.
18. Krishnamurthy, V., and B. N. Goswami (2000), Indian monsoon-ENSO relationship on interdecadal timescale, J. Clim., 13(3), 579-595.
19. Krishnan, R., and M. Sugi (2003), Pacific decadal oscillation and variability of the Indian summer monsoon rainfall, Clim. Dyn., 21(3-4), 233-242, doi:10.1007/s00382-003-0330-8.
20. Kucharski, F., F. Molteni, and J. H. Hoo (2006), SST forcing of decadal Indian Monsoon rainfall variability, Geophys. Res. Lett., 33, L03709, doi:10.1029/2005GL025371.
21. Kucharski, F., et al. (2009), The CLIVAR C20C project: Skill of simulating Indian monsoon rainfall on interannual to decadal timescales. Does GHG forcing play a role?, Clim. Dyn., 33(5), 615-627, doi:10.1007/s00382-008-0462-y.
22. Legates, D. R., and C. J. Willmott (1990), Mean seasonal and spatial variability in gauge-corrected, global precipitation, Int. J. Climatol., 10(2), 111-127, doi:10.1002/joc.3370100202.
23. Li, L., et al. (2013), The Flexible Global Ocean-Atmosphere-Land System model, grid-point version 2: FGOALS-g2, Adv. Atmos. Sci., 30(3), 543-560, doi:10.1007/s00376-012-2140-6.
24. Martin, G. M., et al. (2011), The HadGEM2 family of Met Office Unified Model climate configurations, Geosci. Model Dev., 4(3), 723-757, doi:10.5194/gmd-4-723-2011.
25. Mitchell, T. D., and P. D. Jones (2005), An improved method of constructing a database of monthly climate observations and associated high-resolution grids, Int. J. Climatol., 25(6), 693-712, doi:10.1002/joc.1181.
26. Parker, D., C. Folland, A. Scaife, J. Knight, A. Colman, P. Baines, and B. Dong (2007), Decadal to multidecadal variability and the climate change background, J. Geophys. Res., 112, D18115, doi:10.1029/2007JD008411.
27. Rayner, N. A., D. E. Parker, E. B. Horton, C. K. Folland, L. V. Alexander, D. P. Rowell, E. C. Kent, and A. Kaplan (2003), Global analyses of sea surface temperature, sea ice, and night marine air temperature since the late nineteenth century, J. Geophys. Res., 108(D14), 4407, doi:10.1029/2002JD002670.
28. Rotstayn, L. D., S. J. Jeffrey, M. A. Collier, S. M. Dravitzki, A. C. Hirst, J. I. Syktus, and K. K. Wong (2012), Aerosol- and greenhouse gas-induced changes in summer rainfall and circulation in the Australasian region: A study using single-forcing climate simulations, Atmos. Chem. Phys., 12(14), 6377-6404, doi:10.5194/acp-12-6377-2012.
29. Saha, A., S. Ghosh, A. Sahana, and E. Rao (2014), Failure of CMIP5 climate models in simulating post-1950 decreasing trend of Indian monsoon, Geophys. Res. Lett., 41(20), 7323-7330, doi:10.1002/2014GL061573.
30. Salzmann, M., H. Weser, and R. Cherian (2014), Robust response of Asian summer monsoon to anthropogenic aerosols in CMIP5 models, J. Geophys. Res. Atmos., 119, 11,321-11,337, doi:10.1002/2014JD021783.
31. Schmidt, G. A., et al. (2014), Configuration and assessment of the GISS ModelE2 contributions to the CMIP5 archive, J. Adv. Model. Earth Syst., 6, 141-184, doi:10.1002/2013MS000265.
32. Scoccimarro, E., S. Gualdi, A. Bellucci, A. Sanna, P. G. Fogli, E. Manzini, M. Vichi, P. Oddo, and A. Navarra (2011), Effects of tropical cyclones on ocean heat transport in a high-resolution coupled general. circulation model, 24, 4368-4384, doi:10.1175/2011JCLI4104.1.
33. Srivastava, A. K., and T. DelSole (2014), Robust forced response in South Asian summer monsoon in a future climate, J. Clim., 27(20), 7849-7860, doi:10.1175/JCLI-D-13-00599.1.
34. Taylor, K. E., R. J. Stouffer, and G. A. Meehl (2012), An overview of CMIP5 and the experiment design, Bull. Am. Meteorol. Soc., 93(4), 485-498, doi:10.1175/BAMS-D-11-00094.1.
35. Voldoire, A., et al. (2013), The CNRM-CM5.1 global climate model: Description and basic evaluation, Clim. Dyn., 40(9-10), 2091-2121, doi:10.1007/s00382-011-1259-y.
36. Watanabe, M., et al. (2010), Improved climate simulation by MIROC5: Mean states, variability, and climate sensitivity, 23, 6312-6335, doi:10.1175/2010JCLI3679.1.
37. Watanabe, S., et al. (2011), MIROC-ESM 2010: Model description and basic results of CMIP5-20c3m experiments, Geosci. Model Dev., 4(4), 845-872, doi:10.5194/gmd-4-845-2011.
38. Zhang, R., and T. L. Delworth (2006), Impact of Atlantic multidecadal oscillations on India/Sahel rainfall and Atlantic hurricanes, Geophys. Res. Lett., 33, L17712, doi:10.1029/2006GL026267.