Climate Change Research ›› 2020, Vol. 16 ›› Issue (6): 657-666.doi: 10.12006/j.issn.1673-1719.2019.226

• Changes in Climate System •     Next Articles

Evaluation of multi-RegCM4 dynamical downscaling simulations on cluster high temperature events in China

CHENG Yang1,3(), ZHOU Bo-Tao2,3(), HAN Zhen-Yu4, XU Ying4   

  1. 1 School of Atmospheric Sciences, Chengdu University of Information Technology, Chengdu 610225, China
    2 Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters/Key Laboratory of Meteorological Disaster, Ministry of Education/Joint International Research Laboratory of Climate and Environment Change, Nanjing University of Information Science and Technology, Nanjing 210044, China
    3 School of Atmospheric Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, China
    4 National Climate Center, China Meteorological Administration, Beijing 100081, China
  • Received:2019-09-25 Revised:2019-12-03 Online:2020-11-30 Published:2020-12-03
  • Contact: ZHOU Bo-Tao;


Based on the high-resolution grid observation dataset CN05.1 and the regional climate model RegCM4 dynamical downscaling simulations (i.e., CdR, EdR, HdR, and MdR), the cluster high temperature events (CHTE) occurring in China during 1981-2005 were identified using a simplified objective method. Then, the performance of the RegCM4 dynamical downscaling simulations on the CHTE in China was evaluated through the comparison with the observation. The results indicate that the four RegCM4 simulations and their ensemble mean (MME) can reproduce the observed climatological distribution of the frequency, duration and cumulative intensity of the CHTE in China. However, the frequency of the CHTE in Xinjiang is slightly underestimated by the HdR simulation while that in southeastern China is slightly overestimated by the CdR, EdR and MdR simulations. The characteristics of the probability in duration, extreme intensity, cumulative intensity, maximum influential area, average influential area, and comprehensive intensity for the CHTE can also be reasonably captured by the MME and its ensemble members. In addition, the MME simulates an upward trend, which is consistent with the observation, in the comprehensive intensity index and the individual indices of the CHTE in China. The individual simulations can also reproduce the upward trend for most of the indices. However, some deficits are also found. For instance, the EdR simulation produces a downward trend for the comprehensive intensity of the CHTE, and the MdR simulation shows a weak downward trend for the frequency and extreme intensity of the CHTE.

Key words: Cluster high temperature event (CHTE), Regional climate model, Dynamical downscaling, Model evaluation

Copyright © Climate Change Research, All Rights Reserved.
Tel: (010)58995171 E-mail:
Powered by Beijing Magtech Co. Ltd