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<p>Intense sub-daily precipitation on the Tibetan Plateau (TP) can trigger a cascade of natural hazards (flash floods, debris flows, etc.), causing significant environmental impacts. Current precipitation products for the TP often lack sufficient spatial or temporal resolution, hindering accurate characterization and mitigation of precipitation-related hazards. Here, we carry out 10-year (2012–2021, June to September) convection-permitting model simulations based on the Weather Research and Forecasting (WRF) model over the TP. We adopt four one-way nested domains, with the innermost domain providing a 1-km, hourly resolution over the southeastern TP. Model performance is enhanced using a spectral nudging scheme. Our simulated precipitation data are compared against <Emphasis Type="BoldItalic">in-situ</Emphasis> rain gauge observations and state-of-the-art gridded precipitation products (i.e., HAR v2, ERA5-Land, and IMERG) over the &#xa0;southeastern&#xa0;TP. Our precipitation dataset demonstrates superior accuracy in mean absolute error, root mean square error, and bias, compared to the other three products. It effectively captures the key feature of the diurnal precipitation cycle and the non-monotonic dependence of precipitation on complex topography over the southeastern&#xa0;TP.</p>

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A ten-year (2012–2021) fine-resolution (1 km, hourly) precipitation dataset over southeastern Tibetan Plateau

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年2月25日

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  • Dayang Li,
  • Ye Shen,
  • Xianyi Ye,
  • Xiaohua Fu,
  • Yang Yang,
  • Tinghai Ou,
  • Deliang Chen,
  • Fuqiang Tian,
  • Long Yang

摘要

Intense sub-daily precipitation on the Tibetan Plateau (TP) can trigger a cascade of natural hazards (flash floods, debris flows, etc.), causing significant environmental impacts. Current precipitation products for the TP often lack sufficient spatial or temporal resolution, hindering accurate characterization and mitigation of precipitation-related hazards. Here, we carry out 10-year (2012–2021, June to September) convection-permitting model simulations based on the Weather Research and Forecasting (WRF) model over the TP. We adopt four one-way nested domains, with the innermost domain providing a 1-km, hourly resolution over the southeastern TP. Model performance is enhanced using a spectral nudging scheme. Our simulated precipitation data are compared against in-situ rain gauge observations and state-of-the-art gridded precipitation products (i.e., HAR v2, ERA5-Land, and IMERG) over the  southeastern TP. Our precipitation dataset demonstrates superior accuracy in mean absolute error, root mean square error, and bias, compared to the other three products. It effectively captures the key feature of the diurnal precipitation cycle and the non-monotonic dependence of precipitation on complex topography over the southeastern TP.