Eyring, V., Bony, S., Meehl, G. A., Senior, C. A., Stevens, B., Stouffer, R. J., and Taylor, K. E.: Overview of the Coupled Model Intercomparison Project Phase 6 (CMIP6) experimental design and organization, Geosci. Model Dev., 9, 1937–1958, https://doi.org/10.5194/gmd-9-1937-2016, 2016.
Freychet, N., Hsu, H. H., Chou, C., and Wu, C. H.: Asian summer monsoon in CMIP5 projections: A link between the change in extreme precipitation and monsoon dynamics, J. Climate, 28, 1477–1493, https://doi.org/10.1175/JCLI-D-14-00449.1, 2015.
Gao, Y., Leung, L. R., Salathé Jr., E. P., Dominguez, F., Nijssen, B., and Lettenmaier, D. P.: Moisture flux convergence in regional and global climate models: Implications for droughts in the southwestern United States under climate change, Geophys. Res. Lett., 39, L09711, https://doi.org/10.1029/2012GL051560, 2012.
Ha, K.-J., Moon, S., Timmermann, A., and Kim, D.: Future changes of summer monsoon characteristics and evaporative demand over Asia in CMIP6 simulations, Geophys. Res. Lett., 47, e2020GL087492, https://doi.org/10.1029/2020GL087492, 2020.
Haarsma, R. J., Roberts, M. J., Vidale, P. L., Senior, C. A., Bellucci, A., Bao, Q., Chang, P., Corti, S., Fučkar, N. S., Guemas, V., von Hardenberg, J., Hazeleger, W., Kodama, C., Koenigk, T., Leung, L. R., Lu, J., Luo, J.-J., Mao, J., Mizielinski, M. S., Mizuta, R., Nobre, P., Satoh, M., Scoccimarro, E., Semmler, T., Small, J., and von Storch, J.-S.: High Resolution Model Intercomparison Project (HighResMIP v1.0) for CMIP6, Geosci. Model Dev., 9, 4185–4208, https://doi.org/10.5194/gmd-9-4185-2016, 2016.
Hawkins, E. and Sutton, R.: The potential to narrow uncertainty in regional climate predictions, B. Am. Meteorol. Soc., 90, 1095–1108, https://doi.org/10.1175/2009BAMS2607.1, 2009.
Hawkins, E. and Sutton, R.: The potential to narrow uncertainty in projections of regional precipitation change, Clim. Dynam., 37, 407–418, https://doi.org/10.1007/s00382-010-0810-6, 2011.
He, C. and Zhou, T.: Responses of the western North Pacific subtropical high to global warming under RCP4.5 and RCP8.5 scenarios projected by 33 CMIP5 models: The dominance of tropical Indian ocean–tropical western Pacific SST gradient, J. Climate, 28, 365–380, https://doi.org/10.1175/jcli-d-13-00494.1, 2015.
Hoegh-Guldberg, O., Jacob, D., Taylor, M., Bindi, M., Brown, S., Camilloni, I., Diedhiou, A., Djalante, R., Ebi, K. L., Engelbrecht, F., Guiot, J., Hijioka, Y., Mehrotra, S., Payne, A., Seneviratne, S. I., Thomas, A., Warren, R., and Zhou, G.: Impacts of 1.5 °C global warming on natural and human systems, in: Global Warming of 1.5 °C. An IPCC Special Report on the impacts of global warming of 1.5 °C above pre-industrial levels and related global greenhouse gas emission pathways, in the context of strengthening the global response to the threat of climate change, sustainable development, and efforts to eradicate poverty, edited by: Masson-Delmotte, V., Zhai, P., Pörtner, H.-O., Roberts, D., Skea, J., Shukla, P. R., Pirani, A., Moufouma-Okia, W., Péan, C., Pidcock, R., Connors, S., Matthews, J. B. R., Chen, Y., Zhou, X., Gomis, M. I., Lonnoy, E., Maycock, T., Tignor, M., and Waterfield, T., Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, 175–311, ISBN 978-1-009-15795-7, 2018.
Huang, D., Liu, A., Zheng, Y., and Zhu, J.: Inter-model spread of the simulated East Asian summer monsoon rainfall and the associated atmospheric circulations from the CMIP6 models, J. Geophys. Res.-Atmos, 127, e2022JD037371, https://doi.org/10.1029/2022JD037371, 2022.
IPCC: Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, edited by: Stocker, T. F., Qin, D., Plattner, G.-K., Tignor, M., Allen, S. K., Boschung, J., Nauels, A., Xia, Y., Bex, V., and Midgley, P. M., Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, 1535 pp., ISBN 978-1-107-05799-1, 2013.
Jiang, C., Hu, D., Tian, Z., and Lang, Z.: Differences between CMIP6 and CMIP6 models in simulating climate over China and the East Asian monsoon, Adv. Atmos. Sci., 37, 1102–1118, https://doi.org/10.1007/s00376-020-2034-y, 2020.
Kim, Y.-H., Min, S.-K., Zhang, X., Sillmann, J., and Sandstad, M.: Evaluation of the CMIP6 multi-model ensemble for climate extreme indices, Weather. Clim. Extremes, 29, 100269, https://doi.org/10.1016/j.wace.2020.100269, 2020.
Kitoh, A., Endo, H., Kumar, K. K., Cavalcanti, I. F. A., Goswami, P., and Zhou, T.: Monsoons in a changing world: a regional perspective in a global context, J. Geophys. Res.-Atmos., 118, 3053–3065, https://doi.org/10.1002/jgrd.50258, 2013.
Kusunoki, S. and Arakawa, O.: Are CMIP5 models better than CMIP3 models in simulating precipitation over East Asia?, J. Climate, 28, 5601–5621, https://doi.org/10.1175/JCLI-D-14-00585.1, 2015.
Lee, D., Min, S.-K., Jin, J., Lee, J.-W., Cha, D.-H., Suh, M.-S., Ahn, J.-B., Hong, S.-Y., Kang, H.-S., and Joh, M.: Thermodynamic and dynamic contributions to future changes in summer precipitation over Northeast Asia and Korea: A multi-RCM study, Clim. Dynam., 49, 4121–4139, https://doi.org/10.1007/s00382-017-3566-4, 2017.
Lee, D., Min, S.-K., Fischer, E., Shiogama, H., Bethke, I., Lierhammer, L., and Scinocca, J.: Impacts of half a degree additional warming on the Asian summer monsoon rainfall characteristics, Environ. Res. Lett., 13, 044033, https://doi.org/10.1088/1748-9326/aab55d, 2018.
Lehner, F., Deser, C., Maher, N., Marotzke, J., Fischer, E. M., Brunner, L., Knutti, R., and Hawkins, E.: Partitioning climate projection uncertainty with multiple large ensembles and CMIP5/6, Earth Syst. Dynam., 11, 491–508, https://doi.org/10.5194/esd-11-491-2020, 2020.
Li, X., Ting, M., Li, C., and Henderson, N.: Mechanisms of Asian summer monsoon changes in response to anthropogenic forcing in CMIP5 models, J. Climate, 28, 4107–4125, https://doi.org/10.1175/JCLI-D-14-00559.1, 2015.
Marotzke, J., Jakob, C., Bony, S., Dirmeyer, P. A., O'Gorman, P. A., Hawkins, E., Perkins-Kirkpatrick, S., Le Quéré, C., Nowicki, S., Paulavets, K., Seneviratne, S. I., Stevens, B., and Tuma, M.: Climate research must sharpen its view, Nat. Clim. Chang., 7, 89–91, https://doi.org/10.1038/nclimate3206, 2017.
Moon, S. and Ha, K.-J.: Future changes in monsoon duration and precipitation using CMIP6, npj Clim. Atmos. Sci., 3, 45, https://doi.org/10.1038/s41612-020-00151-w, 2020.
O'Neill, B. C., Tebaldi, C., van Vuuren, D. P., Eyring, V., Friedlingstein, P., Hurtt, G., Knutti, R., Kriegler, E., Lamarque, J.-F., Lowe, J., Meehl, G. A., Moss, R., Riahi, K., and Sanderson, B. M.: The Scenario Model Intercomparison Project (ScenarioMIP) for CMIP6, Geosci. Model Dev., 9, 3461–3482, https://doi.org/10.5194/gmd-9-3461-2016, 2016.
Paik, S., Min, S.-K., Zhang, X., Donat, M. G., King, A. D., and Sun, Q.: Determining the anthropogenic greenhouse gas contribution to the observed intensification of extreme precipitation, Geophys. Res. Lett., 47, e2019GL086875, https://doi.org/10.1029/2019GL086875, 2020.
Park, C. and Min, S.-K.: Multi-RCM near-term projections of summer climate extremes over East Asia, Clim. Dynam., 52, 4937–4952, https://doi.org/10.1007/s00382-018-4425-7, 2019.
Seager, R. and Naik, N.: A mechanisms-based approach to detecting recent anthropogenic hydro climate change, J. Climate, 25, 236–261, https://doi.org/10.1175/JCLI-D-11-00056.1, 2012.
Taylor, K. E., Stouffer, R. J., and Meehl, G. A.: An overview of CMIP5 and the experiment design, B. Am. Meteorol. Soc., 93, 485–498, https://doi.org/10.1175/BAMS-D-11-00094.1, 2012.
Wang, B., Biasutti, M., Byrne, M. P., Castro, C., Chang, C.-P., Cook, K., Fu, R., Grimm, A. M., Ha, K.-J., Hendon, H., Kitoh, A., Krishnan, R., Lee, J.-Y., Li, J., Liu, J., Moise, A., Pascale, S., Roxy, M. K., Seth, A., Sui, C.-H., Turner, A., Yang, S., Yun, K.-S., Zhang, L., and Zhou, T.: Monsoons climate change assessment, B. Am. Meteorol. Soc., 102, E1–E19, https://doi.org/10.1175/BAMS-D-19-0335.1, 2021.
Wehner, M., Lee, J., Risser, M., Ullrich, P., Gleckler, P., and Collins, W. D.: Evaluation of extreme sub-daily precipitation in high-resolution global climate model simulations, Philos. T. Roy. Soc. A, 379, 20190545, https://doi.org/10.1098/rsta.2019.0545, 2021.
Xie, P. and Arkin, P.: Global precipitation: A 17-year monthly analysis based on gauge observations, satellite estimates, and numerical model outputs, B. Am. Meteorol. Soc., 78, 2539–2558, https://doi.org/10.1175/1520-0477(1997)078<2539:GPAYMA>2.0.CO;2, 1997.
Xin, X., Wu, T., Zhang, J., Yao, J., and Fang, Y.: Comparison of CMIP6 and CMIP5 simulations of precipitation in China and the East Asian summer monsoon, Int. J. Climatol., 40, 6423–6440, https://doi.org/10.1002/joc.6590, 2020.
Xin, X., Wu, T., Jie, W., and Zhang. J.: Impact of Higher Resolution on Precipitation over China in CMIP6 HighResMIP Models, Atmosphere, 12, 762, https://doi.org/10.3390/atmos12060762, 2021.
Zhang, Q. Y., Tao, S. Y., and Chen, L. T.: The interannual variability of East Asian summer monsoon indices and its association with the pattern of general circulation over East Asia, Acta Meteorol. Sin., 61, 559–568, 2003 (in Chinese).
Zhou, S., Huang, G., and Huang, P.: changes in the East Asian summer monsoon rainfall under global warming: Moisture budget decompositions and the sources of uncertainty, Clim. Dynam., 51, 1363–1373, 2018.
Zhou, S., Huang, G., and Huang, P.: A bias-corrected projection for the changes in East Asian summer monsoon rainfall under global warming, Clim. Dynam., 54, 1–16, 2019a.
Zhou, S., Huang, P., Huang, G., and Hu, K.: Leading source and constraint on the systematic spread of the changes in East Asian and western North Pacific summer monsoon, Environ. Res. Lett., 14, 124059, https://doi.org/10.1088/1748-9326/ab547c, 2019b.
Zhou, S., Huang, G., and Huang, P.: Inter-model spread of the changes in the East Asian summer monsoon system in CMIP5/6 models, J. Geophys. Res.-Atmos, 125, e2020JD033016, https://doi.org/10.1029/2020JD033016, 2020a.
Zhou, T., Lu, J., Zhang, W., and Chen, Z.: The sources of uncertainty in the projection of global land monsoon precipitation, Geophys. Res. Lett., 47, e2020GL088415, https://doi.org/10.1029/2020GL088415, 2020b.
