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

Data in Brief

Weihang Liu¹  Tao Ye²  Shuo Chen³ 

[1] School of Geographical Sciences, Guangzhou University, Guangzhou, 510006, China;State Key Laboratory of Earth Surface Processes and Resource Ecology, Ministry of Education, Faculty of Geographical Science, Beijing Normal University, Beijing, 100875, China;Key Laboratory of Environmental Change and Natural Disaster, Ministry of Education, Faculty of Geographical Science, Beijing Normal University, Beijing, 100875, China;

关键词: NEX-GDDP;    CMIP5;    Bias correction;    Qinghai-Tibet Plateau;   

DOI  :  

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown