Data for: Dataset of trend-preserving bias-corrected daily temperature, precipitation and wind from NEX-GDDP and CMIP5 over the Qinghai-Tibet Plateau

A bias-corrected dataset containing daily meteorological data over the Qinghai-Tibet Plateau has been generated using a trend-preserving bias correction, the Inter-Sectoral Impact Model Intercomparison Project (ISI-MIP) approach, with a high-quality gridded meteorological dataset based on ground observations (CN05.1). The dataset contains daily bias-corrected values of maximum/minimum near-surface air temperature, precipitation and mean near-surface wind speed from 15 models from the Fifth Phase of the Coupled Model Intercomparison Project (CMIP5) and a downscaled high-resolution dataset (NEX-GDDP), based on CMIP5 models, over the Qinghai-Tibet Plateau (QTP) during 1986–2095. This dataset provides an important reference for the study of future climate change and its impacts in the Qinghai-Tibet Plateau region.

一项基于地面观测数据（CN05.1）构建的高质量网格化气象数据集，通过趋势保持偏差校正和跨部门影响模型互比项目（ISI-MIP）方法，已生成一个针对青藏高原（QTP）的偏差校正日气象数据集。该数据集包含了来自第五阶段耦合模型互比项目（CMIP5）的15个模型以及基于CMIP5模型的降尺度高分辨率数据集（NEX-GDDP）在1986至2095年期间青藏高原的日偏差校正的最大/最小近地表气温、降水量和平均近地表风速值。该数据集为研究未来气候变化及其对青藏高原地区的影响提供了重要的参考依据。