Li Dayang, Shen Ye, Ye Xianyi, Fu Xiaohua, Yang Yang, Ou Tinghai, Chen Deliang, Tian Fuqiang, Yang Long
School of Geography and Ocean Science, Nanjing University, Nanjing, China.
College of Civil Engineering, Yancheng Institute of Technology, Yancheng, China.
Sci Data. 2025 Feb 25;12(1):335. doi: 10.1038/s41597-025-04654-0.
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.
青藏高原(TP)上强烈的次日降水会引发一系列自然灾害(山洪、泥石流等),造成重大环境影响。目前针对青藏高原的降水产品往往缺乏足够的空间或时间分辨率,阻碍了对与降水相关灾害的准确表征和缓解。在此,我们基于天气研究和预报(WRF)模型对青藏高原进行了为期10年(2012 - 2021年,6月至9月)的对流允许模型模拟。我们采用了四个单向嵌套区域,最内层区域在青藏高原东南部提供1公里的每小时分辨率。通过谱 nudging 方案提高了模型性能。我们将模拟的降水数据与青藏高原东南部的现场雨量计观测数据以及最先进的网格化降水产品(即HAR v2、ERA5 - Land和IMERG)进行了比较。与其他三种产品相比,我们的降水数据集在平均绝对误差、均方根误差和偏差方面表现出更高的准确性。它有效地捕捉了青藏高原东南部日降水周期的关键特征以及降水对复杂地形的非单调依赖性。