A high-resolution dataset for lower atmospheric process studies over the Tibetan Plateau from 1981 to 2020  

作　　者：Fei Li Shupo Ma Jinhuan Zhu Han Zou Peng Li Libo Zhou 

机构地区：[1]Department of Lower Atmospheric Observation Research,Institute of Atmospheric Physics,Chinese Academy of Sciences,Beijing,China [2]State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry,Institute of Atmospheric Physics,Chinese Academy of Sciences,Beijing,China

出　　处：《Big Earth Data》2024年第3期540-565,共26页地球大数据（英文）

基　　金：supported by the Second Tibetan Plateau Scientific Expedition and Research(STEP)program(Grant No.2019QZKK0105);the National key Research and Development Program(2022YFC2807203,2022YFC3702001-03);Natural Science Foundation of China(Grant No.41830968);Key Project of the Institute of Atmospheric Physics,Chinese Academy of Sciences.

摘　　要：ABSTRACT A high-resolution meteorological dataset(≤10 km)over the Tibetan Plateau(TP)is the foundation for investigating and predicting the weather and climate over Asia.The TP Subregional Dynamical Downscaling(TPSDD)dataset is a newly developed high-spatial-temporal resolution gridded dataset for land‒air exchange pro-cesses and lower atmospheric structure studies over the whole TP region,taking the climate characteristics of each TP subregion into consideration.The dataset spans from 1981 to 2020,covering the TP with a temporal resolution of 2 hr and spatial resolution of 10 km.Meteorological elements of the dataset include near-surface land-air exchange parameters,such as downward/upward long-wave/shortwave radiation flux,sensible heat flux,latent heat flux,etc.In addition,the vertical distributions of 3-dimensional wind,temperature,humidity,and pressure from the surface to the lower stratosphere are also included.Independent evaluations were con-ducted to verify the performance of the TPSDD dataset by compar-ing TPSDD/reanalysis with surface and vertical observations through the calculation of statistical parameters.The results demonstrate the accuracy and superiority of this dataset against reanalysis data,which provides great potential for future climate change research.

关 键 词：Tibetan Plateau WRF model dynamical downscaling land‒air interaction the lower atmosphere 

分 类 号：P43[天文地球—大气科学及气象学]