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The peak structure and future changes of the relationships between extreme precipitation and temperature

Author

Listed:
  • Guiling Wang

    (University of Connecticut)

  • Dagang Wang

    (University of Connecticut
    School of Geography and Planning, Sun Yat-sen University)

  • Kevin E. Trenberth

    (National Center for Atmospheric Research)

  • Amir Erfanian

    (University of Connecticut)

  • Miao Yu

    (University of Connecticut
    Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology)

  • Michael G. Bosilovich

    (Global Modeling and Assimilation Office, NASA GSFC)

  • Dana T. Parr

    (University of Connecticut)

Abstract

Extreme rainfall increases with temperature and this is predicted to continue in a future warmer climate. Whilst a downturn in rainfall scaling is observed at high temperatures in the present day, this does not imply an upper limit on rainfall extremes in the future.

Suggested Citation

  • Guiling Wang & Dagang Wang & Kevin E. Trenberth & Amir Erfanian & Miao Yu & Michael G. Bosilovich & Dana T. Parr, 2017. "The peak structure and future changes of the relationships between extreme precipitation and temperature," Nature Climate Change, Nature, vol. 7(4), pages 268-274, April.
    • Handle: RePEc:nat:natcli:v:7:y:2017:i:4:d:10.1038_nclimate3239
    DOI: 10.1038/nclimate3239
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    Cited by:

    1. Yunsong Cui & Qiuhua Liang & Yan Xiong & Gang Wang & Tianwen Wang & Huili Chen, 2023. "Assessment of Object-Level Flood Impact in an Urbanized Area Considering Operation of Hydraulic Structures," Sustainability, MDPI, vol. 15(5), pages 1-25, March.
    2. Dominik Traxl & Niklas Boers & Aljoscha Rheinwalt & Bodo Bookhagen, 2021. "The role of cyclonic activity in tropical temperature-rainfall scaling," Nature Communications, Nature, vol. 12(1), pages 1-9, December.
    3. Ming Zhong & Hongrui Zhang & Tao Jiang & Jun Guo & Jinxin Zhu & Dagang Wang & Xiaohong Chen, 2023. "A Hybrid Model Combining the Cama-Flood Model and Deep Learning Methods for Streamflow Prediction," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(12), pages 4841-4859, September.
    4. Yang, Meijian & Wang, Guiling, 2023. "Heat stress to jeopardize crop production in the US Corn Belt based on downscaled CMIP5 projections," Agricultural Systems, Elsevier, vol. 211(C).
    5. Wei Zhang & Gabriele Villarini & Michael Wehner, 2019. "Contrasting the responses of extreme precipitation to changes in surface air and dew point temperatures," Climatic Change, Springer, vol. 154(1), pages 257-271, May.
    6. Ulysse Pasquier & Yi He & Simon Hooton & Marisa Goulden & Kevin M. Hiscock, 2019. "An integrated 1D–2D hydraulic modelling approach to assess the sensitivity of a coastal region to compound flooding hazard under climate change," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 98(3), pages 915-937, September.
    7. Getachew Tegegne & Assefa M. Melesse, 2020. "Multimodel Ensemble Projection of Hydro-climatic Extremes for Climate Change Impact Assessment on Water Resources," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(9), pages 3019-3035, July.
    8. Zigeng Niu & Lan Feng & Xinxin Chen & Xiuping Yi, 2021. "Evaluation and Future Projection of Extreme Climate Events in the Yellow River Basin and Yangtze River Basin in China Using Ensembled CMIP5 Models Data," IJERPH, MDPI, vol. 18(11), pages 1-26, June.
    9. Lei Gu & Jiabo Yin & Pierre Gentine & Hui-Min Wang & Louise J. Slater & Sylvia C. Sullivan & Jie Chen & Jakob Zscheischler & Shenglian Guo, 2023. "Large anomalies in future extreme precipitation sensitivity driven by atmospheric dynamics," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    10. Syed Abu Shoaib & Mohammad Zaved Kaiser Khan & Nahid Sultana & Taufique H. Mahmood, 2021. "Quantifying Uncertainty in Food Security Modeling," Agriculture, MDPI, vol. 11(1), pages 1-16, January.
    11. M. A. Ben Alaya & F. W. Zwiers & X. Zhang, 2020. "Probable maximum precipitation in a warming climate over North America in CanRCM4 and CRCM5," Climatic Change, Springer, vol. 158(3), pages 611-629, February.

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