首页|期刊导航|气候变化研究进展（英文版）|Projected heat wave increasing trends over China based on combined dynamical and multiple statistical downscaling methods

Projected heat wave increasing trends over China based on combined dynamical and multiple statistical downscaling methods

Ming ZHANG Zhong-Yang GUO Guang-Tao DONG Jian-Guo TAN

气候变化研究进展（英文版）Issue(5)：758-767,10.

气候变化研究进展（英文版）Issue(5)：758-767,10.DOI:10.1016/j.accre.2023.09.001

Projected heat wave increasing trends over China based on combined dynamical and multiple statistical downscaling methods

Ming ZHANG ¹Zhong-Yang GUO ²Guang-Tao DONG ³Jian-Guo TAN⁴

作者信息

1. Key Laboratory of Geographic Information Science(Ministry of Education),East China Normal University,Shanghai 200241,China||School of Geographic Sciences,East China Normal University,Shanghai 200241,China||Key Laboratory of Spatial-Temporal Big Data Analysis and Application of Natural Resources in Megacities,Ministry of Natural Resources of China,Shanghai 200241,China
2. Key Laboratory of Geographic Information Science(Ministry of Education),East China Normal University,Shanghai 200241,China||School of Geographic Sciences,East China Normal University,Shanghai 200241,China
3. Shanghai Climate Center Shanghai 200030,China||Key Laboratory of Cities'Mitigation and Adaptation to Climate Change in Shanghai,China Meteorological Administration,Shanghai 200030,China
4. School of Geographic Sciences,East China Normal University,Shanghai 200241,China||Shanghai Meteorological IT Support Center,Shanghai 200030,China||China Meteorological Administration Urban Meteorology Key Laboratory,Beijing 100089,China
折叠

摘要

关键词

Dynamical downscaling/Statistical downscaling/Heat waves/Climate change

Key words

Dynamical downscaling/Statistical downscaling/Heat waves/Climate change

引用本文复制引用

Ming ZHANG,Zhong-Yang GUO,Guang-Tao DONG,Jian-Guo TAN..Projected heat wave increasing trends over China based on combined dynamical and multiple statistical downscaling methods[J].气候变化研究进展（英文版）,2023,(5):758-767,10.

基金项目

This work was supported by the National Key Research and Development Program of China(2018YFA0606204)and the Key Innovation Team of China Meteorological Administration(CMA2022ZD09).We appreciate Dr.Jia Wu and Dr.Xuejie Gao for providing the CN05.1 gridded data set for validating the performance of dynamic and multiple statistical down-scaling methods.We would like to thank the UK Met Office Hadley Centre for providing the HadGEM2-ES model output for driving PRECIS.The authors also gratefully acknowledged the support of Met Office Hadley Centre for providing the regional climate model PRECIS. （2018YFA0606204）

气候变化研究进展（英文版）

OACSCD

ISSN：1674-9278

访问量0

下载量0

段落导航