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Current and future precipitation extremes over Mississippi and Yangtze River basins as simulated in CMIP5 models

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Abstract

Both central-eastern U.S. and China are prone to increasing flooding from Mississippi River and Yangtze River basins respectively. This paper contrasts historical and projected spatialtemporal distribution of extreme precipitation in these two large river basins using 31 CMIP5 (coupled model intercomparison project phase 5) models’ historical and RCP8.5 (representative concentration pathway) experiments. Results show that (1) over both river basins, the heaviest rainfall events have increased in recent decades while the lightest precipitation reduced in frequency. Over Mississippi River Basin, both the lightest precipitation (<2.5 mm/day) and heaviest (>50 mm/day) would decrease in frequency notably after mid-2020s while intermediate events occur more frequently in future; whereas over the Yangtze River Basin, all categories of precipitation are projected to increase in frequency over the coming decades. (2) Although the consensus of CMIP5 models was able to reproduce well domain-time mean and even time-averaged spatial distribution of precipitation, they failed to simulate precipitation trends both in spatial distribution and time means. In a similar fashion, models captured well statistics of precipitation but they had difficulty in representing temporal variations of different precipitation intensity categories. (3) The well-documented 2nd half of the 20th century surface summer cooling over the two river basins showed different associations with precipitation trends with higher anti-correlation between them over the U.S. region, implying different processes contributing to the cooling mechanisms of the two river basins.

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References

  • Alexander, L. V., Zhang, X., Peterson, T. C., et al., 2006. Global Observed Changes in Daily Climate Extremes of Temperature and Precipitation. Journal of Geophysical Research, 111: D05109

    Article  Google Scholar 

  • Arora, V. K., Scinocca, J. F., Boer, G. J., et al., 2011. Carbon Emission Limits Required to Satisfy Future Representative Concentration Pathways of Greenhouse Gases. Geophysical Research Letters, 38: L05805. doi:10.1029/2010GL046270

    Article  Google Scholar 

  • Bai, A., Zhai, P. M., Liu, X. D., 2007. Climatology and Trends of Wet Spells in China. Theoretical and Applied Climatology, 88(3): 139–148

    Article  Google Scholar 

  • Bengtsson, L., 2001. Uncertainties of Global Climate Prediction. In: Schulze, E.-D., ed., Global Biogeochemical Cycles in the Climate System. Academic Press, London. 15–29

    Chapter  Google Scholar 

  • Chen, C. T., Knutson, T., 2008. On the Verification and Comparison of Extreme Rainfall Indices from Climate Models. Journal of Climate, 21(7): 1605–1621

    Article  Google Scholar 

  • Chen, H. P., 2013. Projected Change in Extreme Rainfall Events in China by the End of the 21st Century Using CMIP5 Models. Chinese Science Bulletin, 58(12): 1462–1472

    Article  Google Scholar 

  • Chou, C., Neelin, J. D., Chen, C. A., et al., 2009. Evaluating the “Rich-Get-Richer” Mechanism in Tropical Precipitation Change under Global Warming. Journal of Climate, 22(8): 1982–2005. doi:10.1175/2008jcli2471.1

    Article  Google Scholar 

  • Collins, M., Tett, S. F. B., Cooper, C., 2001. The Internal Climate Variability of HADCM3, a Version of the Hadley Centre Coupled Model without Flux Adjustments. Climate Dynamics, 17(1): 61–81. doi:10.1007/s003820000094

    Article  Google Scholar 

  • Criss, R. E., 2009. Increased Flooding of Large and Small Watersheds of the Central USA and for the Consequences for Flood Frequency Predictions. In: Criss, R. E., Kusky, T. M., eds., Finding the Balance between Floods, Flood Protection, and River Navigation. Center for Environmental Sciences at Saint Louis University, Saint Louis. 16–21

    Google Scholar 

  • Criss, R. E., 2016. Statistics of Evolving Populations and Their Relevance to Flood. Journal of Earth Science, 27(1): 2–8. doi:10.1007/s12583-015-0641-9

    Article  Google Scholar 

  • Dai, A. G., Fung, I. Y., Genio, A. D. D., 1997. Surface Observed Global Land Precipitation Variations during 1900–88. Journal of Climate, 10(11): 2943–2962. doi:10.1175/1520-0442(1997)010<2943:soglpv>2.0.co;2

    Article  Google Scholar 

  • Deng, H. Q., Luo, Y., Yao, Y., et al., 2013. Spring and Summer Precipitation Changes from 1880 to 2011 and the Future Projections from CMIP5 Models in the Yangtze River Basin, China. Quaternary International, 304: 95–106. doi:10.1016/j.quaint.2013.03.036

    Article  Google Scholar 

  • Ding, Y. H., Wang, Z. Y., Sun, Y., 2008. Inter-Decadal Variation of the Summer Precipitation in East China and Its Association with Decreasing Asian Summer Monsoon. Part I: Observed Evidences. International Journal of Climatology, 28(9): 1139–1161. doi:10.1002/joc.1615

    Google Scholar 

  • Donner, L. J., Wyman, B. L., Hemler, R. S., et al., 2011. The Dynamical Core, Physical Parameterizations, and Basic Simulation Characteristics of the Atmospheric Component AM3 of the GFDL Global Coupled Model CM3. Journal of Climate, 24(13): 3484–3519. doi:10.1175/2011jcli3955.1

    Article  Google Scholar 

  • Dunne, J. P., John, J. G., Adcroft, A. J., et al., 2012. GFDL’s ESM2 Global Coupled Climate-Carbon Earth System Models. Part I: Physical Formulation and Baseline Simulation Characteristics. Journal of Climate, 25(19): 6646–6665. doi:10.1175/jcli-d-11-00560.1

    Article  Google Scholar 

  • Emori, S., Brown, J., 2005. Dynamic and Thermodynamic Changes in Mean and Extreme Precipitation under Changed Climate. Geophysical Research Letters, 32(17): L17706. doi:10.1029/2005gl023272

    Article  Google Scholar 

  • Feng, L., Zhou, T. J., Wu, B., et al., 2011. Projection of Future Precipitation Change over China with a High-Resolution Global Atmospheric Model. Advances in Atmospheric Sciences, 28(2): 464–476. doi:10.1007/s00376-010-0016-1

    Article  Google Scholar 

  • Frich, P., Alexander, L. V., Della-Marta, P., et al., 2002. Observed Coherent Changes in Climatic Extremes during the Second Half of the Twentieth Century. Climate Research, 19: 193–212. doi:10.3354/cr019193

    Article  Google Scholar 

  • Gent, P. R., Danabasoglu, G., Donner, L. J., et al., 2011. The Community Climate System Model Version 4. Journal of Climate, 24(19): 4973–4991. doi:10.1175/2011JCLI4083.1

    Article  Google Scholar 

  • Giorgetta, M. A., Jungclaus, J., Reick, C. H., et al., 2013. Climate and Carbon Cycle Changes from 1850 to 2100 in MPI-ESM Simulations for the Coupled Model Intercomparison Project Phase 5. Journal of Advances in Modeling Earth Systems, 5(3): 572–597. doi:10.1002/jame.20038

    Article  Google Scholar 

  • Gong, D., Wang, S., 2000. Severe Summer Rainfall in China Associated with Enhanced Global Warming. Climate Research, 16: 51–59. doi:10.3354/cr016051

    Article  Google Scholar 

  • Groisman, P. Y., Karl, T. R., Easterling, D. R., et al., 1999. Changes in the Probability of Heavy Precipitation: Important Indicators of Climatic Change. Weather and Climate Extremes, 81: 243–283. doi:10.1007/978-94-015-9265-9_15

    Article  Google Scholar 

  • Groisman, P. Y., Knight, R. W., Easterling, D. R., et al., 2005. Trends in Intense Precipitation in the Climate Record. Journal of Climate, 18(9): 1326–1350. doi:10.1175/jcli3339.1

    Article  Google Scholar 

  • Guo, Y., Dong, W. J., Ren, F. M., et al., 2013. Surface Air Temperature Simulations over China with CMIP5 and CMIP3. Advances in Climate Change Research, 4(3): 145–152. doi:10.3724/sp.j.1248.2013.145

    Article  Google Scholar 

  • Gutowski, W. J. Jr., Willis, S. S., Patton, J. C., et al., 2008. Changes in Extreme, Cold-Season Synoptic Precipitation Events under Global Warming. Geophysical Research Letters, 35: L20710. doi:10.1029/2008GL035516.1

    Article  Google Scholar 

  • Held, I. M., Soden, B. J., 2006. Robust Responses of the Hydrological Cycle to Global Warming. Journal of Climate, 19(21): 5686–5699. doi:10.1175/jcli3990.1

    Article  Google Scholar 

  • Hourdin, F., Musat, I., Bony, S., et al., 2006. The LMDZ4 General Circulation Model: Climate Performance and Sensitivity to Parametrized Physics with Emphasis on Tropical Convection. Climate Dynamics, 27(7/8): 787–813. doi:10.1007/s00382-006-0158-0

    Article  Google Scholar 

  • IPCC, 2013. Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge, United Kingdom and New York. 1535

  • Jha, M., Pan, Z. T., Takle, E. S., et al., 2004. Impacts of Climate Change on Streamflow in the Upper Mississippi River Basin: A Regional Climate Model Perspective. Journal of Geophysical Research, 109(D9): D09105. doi:10.1029/2003jd003686

    Article  Google Scholar 

  • Ji, D., Wang, L., Feng, J., et al., 2014. Description and Basic Evaluation of BNU-ESM Version 1. Geoscientific Model Development Discussions, 7(2): 1601–1647. doi:10.5194/gmdd-7-1601-2014

    Article  Google Scholar 

  • Jiang, Z. H., Song, J., Li, L., et al., 2011. Extreme Climate Events in China: IPCC-AR4 Model Evaluation and Projection. Climatic Change, 110(1/2): 385–401. doi:10.1007/s10584-011-0090-0

    Google Scholar 

  • Jiang, T., Su, B. D., Hartmann, H., 2007. Temporal and Spatial Trends of Precipitation and River Flow in the Yangtze River Basin, 1961–2000. Geomorphology, 85(3/4): 143–154. doi:10.1016/j.geomorph.2006.03.015

    Article  Google Scholar 

  • Jones, G. S., Stott, P. A., Christidis, N., 2013. Attribution of Observed Historical Near-Surface Temperature Variations to Anthropogenic and Natural Causes Using CMIP5 Simulations. Journal of Geophysical Research: Atmospheres, 118(10): 4001–4024. doi:10.1002/jgrd.50239

    Google Scholar 

  • Karl, T. R., Knight, R. W., Plummer, N., 1995. Trends in High-Frequency Climate Variability in the Twentieth Century. Nature, 377(6546): 217–220. doi:10.1038/377217a0

    Article  Google Scholar 

  • Karl, T. R., Knight, R. W., 1998. Secular Trends of Precipitation Amount, Frequency, and Intensity in the United States. Bulletin of the American Meteorological Society, 79(2): 231–241. doi:10.1175/1520-0477(1998)079<0231:stopaf>2.0.co;2

    Article  Google Scholar 

  • Kharin, V. V., Zwiers, F. W., Zhang, X. B., et al., 2007. Changes in Temperature and Precipitation Extremes in the IPCC Ensemble of Global Coupled Model Simulations. Journal of Climate, 20(8): 1419–1444. doi:10.1175/jcli4066.1

    Article  Google Scholar 

  • Kueppers, L. M., Snyder, M. A., Sloan, L. C., et al., 2008. Seasonal Temperature Responses to Land-Use Change in the Western United States. Global and Planetary Change, 60(3/4): 250–264. doi:10.1016/j.gloplacha.2007.03.005

    Article  Google Scholar 

  • Kumar, S., Kinter, J., Dirmeyer, P. A., et al., 2013. Multidecadal Climate Variability and the “Warming Hole” in North America: Results from CMIP5 Twentieth-and Twenty-First-Century Climate Simulations. Journal of Climate, 26(11): 3511–3527. doi:10.1175/jcli-d-12-00535.1

    Article  Google Scholar 

  • Kunkel, K. E., Andsager, K., Easterling, D. R., 1999. Long-Term Trends in Extreme Precipitation Events over the Conterminous United States and Canada. Journal of Climate, 12(8): 2515–2527. doi:10.1175/1520-0442(1999)012<2515:lttiep>2.0.co;2

    Article  Google Scholar 

  • Kunkel, K. E., Liang, X. Z., Zhu, J. H., et al., 2006. Can CGCMs Simulate the Twentieth-Century “Warming Hole” in the Central United States? Journal of Climate, 19(17): 4137–4153. doi:10.1175/jcli3848.1

    Article  Google Scholar 

  • Knutti, R., Sedlácek, J., 2013. Robustness and Uncertainties in the New CMIP5 Climate Model Projections. Nature Climate Change, 3(4): 369–373. doi:10.1038/nclimate1716

    Article  Google Scholar 

  • Li, Q. X., Dong, W. J., Li, W., et al., 2010. Assessment of the Uncertainties in Temperature Change in China during the Last Century. Chinese Science Bulletin, 55(19): 1974–1982. doi:10.1007/s11434-010-3209-1

    Article  Google Scholar 

  • Li, Q., Zhang, H., Chen, J., et al., 2009. A Mainland China Homogenized Historical Temperature Dataset of 1951–2004. Bulletin of the American Meteorological Society, 90(8): 1062–1065

    Article  Google Scholar 

  • Liang, X. Z., Pan, J. P., Zhu, J. H., et al., 2006. Regional Climate Model Downscaling of the U.S. Summer Climate and Future Change. Journal of Geophysical Research, 111(D10): D10108. doi:10.1029/2005jd006685

    Article  Google Scholar 

  • Maloney, E. D., Camargo, S. J., Chang, E., et al., 2014. North American Climate in CMIP5 Experiments: Part III: Assessment of Twenty-First-Century Projections. Journal of Climate, 27(6): 2230–2270. doi:10.1175/jcli-d-13-00273.1

    Article  Google Scholar 

  • Markakis, K., Valari, M., Colette, A., et al., 2014. Air Quality in the Mid-21st Century for the City of Paris under Two Climate Scenarios: From the Regional to Local Scale. Atmospheric Chemistry and Physics, 14(14): 7323–7340. doi:10.5194/acp-14-7323-2014

    Article  Google Scholar 

  • Meehl, G. A., Arblaster, J. M., Branstator, G., 2012. Mechanisms Contributing to the Warming Hole and the Consequent U.S. East-West Differential of Heat Extremes. Journal of Climate, 25(18): 6394–6408. doi:10.1175/jclid-11-00655.1

    Article  Google Scholar 

  • Miller, A., Cayan, D., Barnett, T., et al., 1994. The 1976–77 Climate Shift of the Pacific Ocean. Oceanography, 7: 21–26

    Article  Google Scholar 

  • Moss, R. H., Edmonds, J. A., Hibbard, K. A., et al., 2010. The Next Generation of Scenarios for Climate Change Research and Assessment. Nature, 463(7282): 747–756. doi:10.1038/nature08823

    Article  Google Scholar 

  • New, M., Hulme, M., Jones, P., 2000. Representing Twentieth-Century Space-Time Climate Variability. Part II: Development of 1901-96 Monthly Grids of Terrestrial Surface Climate. Journal of Climate, 13(13): 2217–2238. doi:10.1175/1520-0442(2000)013<2217:rtcstc>2.0.co;2

    Article  Google Scholar 

  • Nigam, S., Zhao, Y., Ruiz-Barradas, A., et al., 2013. The South-Flood North-Drought Pattern over Eastern China and the Drying of the Gangetic Plain: Observations, Simulations, and Origin. In: Ghil, M., Latif, M., Wallace, M., et al., eds., Climate Change: Multidecadal and Beyond. World Scientific Series on Asia-Pacific Weather and Climate. World Scientific Publishing Company, Singapur. 410

    Google Scholar 

  • O’Gorman, P. A., Schneider, T., 2009a. The Physical Basis for Increases in Precipitation Extremes in Simulations of 21st-Century Climate Change. Proceedings of the National Academy of Sciences, 106(35): 14773–14777. doi:10.1073/pnas.0907610106

    Article  Google Scholar 

  • O’Gorman, P. A., Schneider, T., 2009b. Scaling of Precipitation Extremes over a Wide Range of Climates Simulated with an Idealized GCM. Journal of Climate, 22(21): 5676–5685. doi:10.1175/2009jcli2701.1

    Article  Google Scholar 

  • Ou, T. H., Chen, D. L., Linderholm, H. W., et al., 2013. Evaluation of Global Climate Models in Simulating Extreme Precipitation in China. Tellus, 65: 19799. doi:10.3402/tellusa.v65i0.19799

    Article  Google Scholar 

  • Pan, Z. T., Arritt, R. W., Takle, E. S., et al., 2004. Altered Hydrologic Feedback in a Warming Climate Introduces a “Warming Hole”. Geophysical Research Letters, 31: L17109. doi:10.1029/2004GL02528

    Article  Google Scholar 

  • Pan, Z. T., Segal, M., Li, X. Z., et al., 2009. Global Climate Change Impact on the Midwestern U.S.—A Summer Cooling Trend. In: Pryor, S., ed., Regional Climate Variability, Predictability, and Change in Midwestern USA. Indiana University Press, Bloomington

    Google Scholar 

  • Pan, Z. T., Pryor, S., 2009. Overview: Hydrological regime. In: Pryor, S., ed., Regional Climate Variability, Predictability, and Change in Midwestern USA. Indiana University Press, Bloomington

    Google Scholar 

  • Pan, Z. T., Liu, X. D., Kumar, S., et al., 2013. Intermodel Variability and Mechanism Attribution of Central and Southeastern U.S. Anomalous Cooling in the Twentieth Century as Simulated by CMIP5 Models. Journal of Climate, 26(17): 6215–6237. doi:10.1175/jcli-d-12-00559.1

    Article  Google Scholar 

  • Portmann, R. W., Solomon, S., Hegerl, G. C., 2009. Spatial and Seasonal Patterns in Climate Change, Temperatures, and Precipitation across the United States. Proceedings of the National Academy of Sciences, 106(18): 7324–7329. doi:10.1073/pnas.0808533106

    Article  Google Scholar 

  • Riahi, K., Rao, S., Krey, V., et al., 2011. RCP8.5—A Scenario of Comparatively High Greenhouse Gas Emissions. Climatic Change, 109(1): 33–57

    Article  Google Scholar 

  • Robinson, W. A., Reudy, R., Hansen, J. E., 2002. General Circulation Model Simulations of Recent Cooling in the East-Central United States. Journal of Geophysical Research, 107(D24): 4748. doi:10.1029/2001jd001577

    Article  Google Scholar 

  • Rotstayn, L. D., Collier, M. A., Dix, M. R., et al., 2009. Improved Simulation of Australian Climate and ENSORelated Rainfall Variability in a Global Climate Model with an Interactive Aerosol Treatment. International Journal of Climatology, 30: 1067–1088. doi:10.1002/joc.1952

    Google Scholar 

  • Schmidt, G. A., Ruedy, R., Hansen, J. E., et al., 2006. Present-Day Atmospheric Simulations Using GISS Model E: Comparison to in situ, Satellite, and Reanalysis Data. Journal of Climate, 19(2): 153–192. doi:10.1175/jcli3612.1

    Article  Google Scholar 

  • Su, B., Jiang, T., Ren, G., et al., 2006. Observed Trends of Precipitation Extremes in the Yangtze River Basin during 1960 to 2004. Advances in Climate Change Research, 2(1): 9–14

    Google Scholar 

  • Sun, J. Q., Ao, J., 2012. Changes in Precipitation and Extreme Precipitation in a Warming Environment in China. Chinese Science Bulletin, 58(12): 1395–1401. doi:10.1007/s11434-012-5542-z

    Article  Google Scholar 

  • Tang, G. L., Ding, Y. H., Wang, S. W., et al., 2010. Comparative Analysis of China Surface Air Temperature Series for the Past 100 Years. Advances in Climate Change Research, 1(1): 11–19. doi:10.3724/sp.j.1248.2010.00011

    Article  Google Scholar 

  • Taylor, K. E., 2001. Summarizing Multiple Aspects of Model Performance in a Single Diagram. Journal of Geophysical Research, 106(D7): 7183–7192. doi:10.1029/2000jd900719

    Article  Google Scholar 

  • Taylor, K. E., Stouffer, R. J., Meehl, G. A., 2012. An Overview of CMIP5 and the Experiment Design. Bulletin of the American Meteorological Society, 93(4): 485–498. doi:10.1175/bams-d-11-00094.1

    Article  Google Scholar 

  • Trenberth, K. E., 1999. Conceptual Framework for Changes of Extremes of the Hydrological Cycle with Climate Change. Climatic Change, 42: 327–339. doi:10.1007/978-94-015-9265-918

    Article  Google Scholar 

  • Trenberth, K. E., 2011. Changes in Precipitation with Climate Change. Climate Research, 47(1): 123–138. doi:10.3354/cr00953

    Article  Google Scholar 

  • Trenberth, K. E., Shea, D. J., 2005. Relationships between Precipitation and Surface Temperature. Geophysical Research Letters, 32(14): L14703. doi:10.1029/2005gl022760

    Article  Google Scholar 

  • Vose, R. S., Easterling, D. R., Gleason, B., 2005. Maximum and Minimum Temperature Trends for the Globe: An Update through 2004. Geophysical Research Letters, 32(23): L23822. doi:10.1029/2005gl024379

    Article  Google Scholar 

  • Voldoire, A., Sanchez-Gomez, E., Salas y Mélia, D., et al., 2013. The CNRM-CM5.1 Global Climate Model: Description and Basic Evaluation. Climate Dynamics, 40(9): 2091–2121. doi:10.1007/s00382-011-1259-y

    Article  Google Scholar 

  • Volodin, E. M., Dianskii, N. A., Gusev, A. V., 2010. Simulating Present-Day Climate with the INMCM4.0 Coupled Model of the Atmospheric and Oceanic General Circulations. Izvestiya, Atmospheric and Oceanic Physics, 46(4): 414–431. doi:10.1134/s000143381004002x

    Article  Google Scholar 

  • Wang, X., Piao, S., Ciais, P., et al., 2011. Spring Temperature Change and Its Implication in the Change of Vegetation Growth in North America from 1982 to 2006. Proceedings of the National Academy of Sciences, 108(4): 1240–1245. doi:10.1073/pnas.1014425108

    Article  Google Scholar 

  • Wang, H. L., Schubert, S., Suarez, M., et al., 2009. Attribution of the Seasonality and Regionality in Climate Trends over the United States during 1950–2000. Journal of Climate, 22(10): 2571–2590. doi:10.1175/2008jcli2359.1

    Article  Google Scholar 

  • Wang, Y. Q., Zhou, L., 2005. Observed Trends in Extreme Precipitation Events in China during 1961–2001 and the Associated Changes in Large-Scale Circulation. Geophysical Research Letters, 32(9): L09707. doi:10.1029/2005gl022574

    Article  Google Scholar 

  • Watanabe, M., Suzuki, T., O’ishi, R., et al., 2010. Improved Climate Simulation by MIROC5: Mean States, Variability, and Climate Sensitivity. Journal of Climate, 23(23): 6312–6335. doi:10.1175/2010jcli3679.1

    Article  Google Scholar 

  • Williams, C. N., Vose, R. S., Easterling, D. R., et al., 2004. United States Historical Climatology Network Daily Temperature, Precipitation, and Snow Data. ORNL/CDIAC-118, NDP-070. Carbon Dioxide Information Analysis Center, Oak Ridge National Laboratory, Oak Ridge, Tennessee

    Google Scholar 

  • Wilks, D., 2006. Statistical Methods in the Atmospheric Sciences. 2nd Ed. International Geophysics Series, Vol. 91. Academic Press, London. 627

    Google Scholar 

  • World Bank, 2005. Natural Disaster Hotspots a Global Risk Analysis [2011-8-5]. http://www.preventionweb.net/files/1100_Hotspots.pdf

  • Wu, F. T., Fu, C. B., 2013. Change of Precipitation Intensity Spectra at Different Spatial Scales under Warming Conditions. Chinese Science Bulletin, 58(12): 1385–1394. doi:10.1007/s11434-013-5699-0

    Article  Google Scholar 

  • Wu, T. W., Yu, R. C., Zhang, F., et al., 2008. The Beijing Climate Center Atmospheric General Circulation Model: Description and Its Performance for the Present-Day Climate. Climate Dynamics, 34(1): 123–147. doi:10.1007/s00382-008-0487-2

    Article  Google Scholar 

  • Wuebbles, D., Meehl, G., Hayhoe, K., et al., 2014. CMIP5 Climate Model Analyses: Climate Extremes in the United States. Bulletin of the American Meteorological Society, 95(4): 571–583. doi:10.1175/bams-d-12-00172.1

    Article  Google Scholar 

  • Yukimoto, S., Yoshimura, H., Hosaka, M., et al., 2011. Meteorological Research Institute-Earth System Model Version 1 (MRI-ESM1)—Model Description. Technical Report of the Meteorological Research Institute, 64, Tsukuba. 83

    Google Scholar 

  • Zhai, P., Sun, A., Liu, X., et al., 1999. Changes in Climate Extremes in China. Climatic Change, 42: 203–218

    Article  Google Scholar 

  • Zhang, X., Alexander, L., Hegerl, G. C., et al., 2011. Indices for Monitoring Changes in Extremes Based on Daily Temperature and Precipitation Data, WIREs. Climatic Change, 2: 851–870

    Google Scholar 

  • Zhang, H., Fraedrich, K., Blender, R., et al., 2013. Precipitation Extremes in CMIP5 Simulations on Different Time Scales. Journal of Hydrometeorology, 14(3): 923–928. doi:10.1175/jhm-d-12-0181.1

    Article  Google Scholar 

  • Zhang, Q., Liu, C. L., Xu, C. Y., et al., 2006. Observed Trends of Annual Maximum Water Level and Streamflow during Past 130 Years in the Yangtze River Basin, China. Journal of Hydrology, 324(1–4): 255–265. doi:10.1016/j.jhydrol.2005.09.023

    Article  Google Scholar 

  • Zhou, T. J., Wang, Z. Z., Yu, R. C., et al., 2005. The Climate System Model FGOALSs Using LASG/IAP Spectral AGCM SAMIL as Its Atmospheric Component. Acta Meteorologica Sinica, 63(5): 702–715 (in Chinese with English Abstract)

    Google Scholar 

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Pan, Z., Zhang, Y., Liu, X. et al. Current and future precipitation extremes over Mississippi and Yangtze River basins as simulated in CMIP5 models. J. Earth Sci. 27, 22–36 (2016). https://doi.org/10.1007/s12583-016-0627-2

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