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

Shuo Chen; Weihang Liu; Tao Ye

doi:10.1016/j.dib.2020.105733

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

Data Brief. 2020 May 21:31:105733. doi: 10.1016/j.dib.2020.105733. eCollection 2020 Aug.

Authors

Shuo Chen^{1

2

3

4}, Weihang Liu^{1

3

4}, Tao Ye^{1

3

4}

Affiliations

¹ Key Laboratory of Environmental Change and Natural Disaster, Ministry of Education, Faculty of Geographical Science, Beijing Normal University, Beijing, 100875, China.
² School of Geographical Sciences, Guangzhou University, Guangzhou, 510006, China.
³ State Key Laboratory of Earth Surface Processes and Resource Ecology, Ministry of Education, Faculty of Geographical Science, Beijing Normal University, Beijing, 100875, China.
⁴ Academy of Disaster Reduction and Emergency Management, Ministry of Emergency Management & Ministry of Education, Beijing, 100875, China.

Abstract

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.

Keywords: CMIP5; NEX-GDDP; Qinghai-Tibet Plateau; bias correction.