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September 27, 2023AtmosphereOpen Access

Assessment of NEX-GDDP-CMIP6 Downscale Data in Simulating Extreme Precipitation over the Huai River Basin

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Authors

FJFushuang JiangSWShanshan WenMGMiaoni Gao

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Overview

Climate model evaluation reveals high accuracy of downscaled CMIP6 datasets in capturing extreme rainfall patterns, highlighting key tools for regional climate risk planning.

Key Points

  • To assess the performance of 35 high-resolution downscaled climate models from the NEX-GDDP-CMIP6 dataset in simulating extreme precipitation events across the Huai River Basin.
  • Evaluated 35 global climate models downscaled to a 25 km spatial resolution and daily temporal resolution.
  • Quantified simulation capabilities across historical observations using eight extreme precipitation indices, including total precipitation (PRCPTOT).
  • All models showed high accuracy in capturing climatological means, achieving a spatial correlation coefficient exceeding 0.8 for PRCPTOT against observed records.
  • UKESM1-0-LL ranked best overall for trend capture, while NorESM2-MM and MRI-ESM2-0 accurately captured extreme precipitation frequency and intensity, respectively.
  • Six models (UKESM1-0-LL, CESM2, MIROC6, MRI-ESM2-0, CMCC-CM2-SR5, and MPI-ESM-2-LR) exhibited superior performance in modeling both trends and climatology.

Cite This Study

Jiang et al. (2023) studied this question.

synapsesocial.com/papers/6a7cdd034fd5c1e90ea1e3d9https://doi.org/10.3390/atmos14101497
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