Year
Month
(Peer-Reviewed) Projection of climate extremes in China, an incremental exercise from CMIP5 to CMIP6
Huanhuan Zhu 朱欢欢 ¹ ², Zhihong Jiang 江志红 ² ³, Laurent Li 李肇新 ⁴
¹ Joint International Research Laboratory of Climate and Environment Change, Nanjing University of Information Science and Technology, Nanjing 210044, China 南京信息工程大学 气候与环境变化国际合作联合实验室
² Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disaster, Nanjing University of Information Science and Technology, Nanjing 210044, China 南京信息工程大学 气象灾害预报预警与评估协同创新中心
³ Key Laboratory of Meteorological Disaster of Ministry of Education, Nanjing University of Information Science and Technology, Nanjing 210044, China 南京信息工程大学 气象灾害教育部重点实验室
⁴ Laboratoire de Météorologie Dynamique, CNRS, Sorbonne Université, Ecole Normale Supérieure, Ecole Polytechnique, Paris 75005, France
Science Bulletin, 2021-07-21
Abstract

This paper presents projections of climate extremes over China under global warming of 1.5, 2, and 3 °C above pre-industrial (1861-1900), based on the latest Coupled Model Intercomparison Project phase 6 (CMIP6) simulations. Results are compared with what produced by the precedent phase of the project, CMIP5. Model evaluation for the reference period (1985-2005) indicates that CMIP6 models outperform their predecessors in CMIP5, especially in simulating precipitation extremes.

Areal averages for changes of most indices are found larger in CMIP6 than in CMIP5. The emblematic annual mean temperature, when averaged over the whole of China in CMIP6, increases by 1.49, 2.21, and 3.53 °C (relative to 1985-2005) for 1.5, 2, and 3 °C above-preindustrial global warming levels, while the counterpart in CMIP5 is 1.20, 1.93 and 3.39 °C respectively. Similarly, total precipitation increases by 5.3%, 8.6%, and 16.3% in CMIP6 and by 4.4%, 7.0% and 12.8% in CMIP5, respectively.

The spatial distribution of changes for extreme indices is generally consistent in both CMIP5 and CMIP6, but with significantly higher increases in CMIP6 over northeast and northwest China for the hottest day temperature, and south China for the coldest night temperature.

In the south bank of the Yangtze River, and most regions around 40°N, CMIP6 shows higher increases for both total precipitation and heavy precipitation. The projected difference between CMIP6 and CMIP5 is mainly attributable to the physical upgrading of climate models and largely independent from their emission scenarios.
Projection of climate extremes in China, an incremental exercise from CMIP5 to CMIP6_1
Projection of climate extremes in China, an incremental exercise from CMIP5 to CMIP6_2
Projection of climate extremes in China, an incremental exercise from CMIP5 to CMIP6_3
Projection of climate extremes in China, an incremental exercise from CMIP5 to CMIP6_4
  • Robust measurement of orbital angular momentum of a partially coherent vortex beam under amplitude and phase perturbations
  • Zhao Zhang, Gaoyuan Li, Yonglei Liu, Haiyun Wang, Bernhard J. Hoenders, Chunhao Liang, Yangjian Cai, Jun Zeng
  • Opto-Electronic Science
  • 2024-01-31
  • Deblurring, artifact-free optical coherence tomography with deconvolution-random phase modulation
  • Xin Ge, Si Chen, Kan Lin, Guangming Ni, En Bo, Lulu Wang, Linbo Liu
  • Opto-Electronic Science
  • 2024-01-31
  • Dynamic interactive bitwise meta-holography with ultra-high computational and display frame rates
  • Yuncheng Liu, Ke Xu, Xuhao Fan, Xinger Wang, Xuan Yu, Wei Xiong, Hui Gao
  • Opto-Electronic Advances
  • 2024-01-25
  • Multi-dimensional multiplexing optical secret sharing framework with cascaded liquid crystal holograms
  • Keyao Li, Yiming Wang, Dapu Pi, Baoli Li, Haitao Luan, Xinyuan Fang, Peng Chen, Yanqing Lu, Min Gu
  • Opto-Electronic Advances
  • 2024-01-25
  • Physics-informed deep learning for fringe pattern analysis
  • Wei Yin, Yuxuan Che, Xinsheng Li, Mingyu Li, Yan Hu, Shijie Feng, Edmund Y. Lam, Qian Chen, Chao Zuo
  • Opto-Electronic Advances
  • 2024-01-25
  • Advancing computer-generated holographic display thanks to diffraction model-driven deep nets
  • Vittorio Bianco, Pietro Ferraro
  • Opto-Electronic Advances
  • 2024-01-16
  • Inverse design for material anisotropy and its application for a compact X-cut TFLN on-chip wavelength demultiplexer
  • Jiangbo Lyu, Tao Zhu, Yan Zhou, Zhenmin Chen, Yazhi Pi, Zhengtong Liu, Xiaochuan Xu, Ke Xu, Xu Ma, Lei Wang, Zizheng Cao, Shaohua Yu
  • Opto-Electronic Science
  • 2024-01-09
  • Improved spatiotemporal resolution of anti-scattering super-resolution label-free microscopy via synthetic wave 3D metalens imaging
  • Yuting Xiao, Lianwei Chen, Mingbo Pu, Mingfeng Xu, Qi Zhang, Yinghui Guo, Tianqu Chen, Xiangang Luo
  • Opto-Electronic Science
  • 2024-01-05
  • Wide-spectrum optical synthetic aperture imaging via spatial intensity interferometry
  • Chunyan Chu, Zhentao Liu, Mingliang Chen, Xuehui Shao, Guohai Situ, Yuejin Zhao, Shensheng Han
  • Opto-Electronic Advances
  • 2023-3-10
  • Flat soliton microcomb source
  • Xinyu Wang, Xuke Qiu, Mulong Liu, Feng Liu, Mengmeng Li, Linpei Xue, Bohan Chen, Mingran Zhang, Peng Xie
  • Opto-Electronic Science
  • 2023-12-29
  • Smart palm-size optofluidic hematology analyzer for automated imaging-based leukocyte concentration detection
  • Deer Su, Xiangyu Li, Weida Gao, Qiuhua Wei, Haoyu Li, Changliang Guo, Weisong Zhao
  • Opto-Electronic Science
  • 2023-12-28



  • A new finding on the prevalence of rapid water warming during lake ice melting on the Tibetan Plateau                                Variability of Antarctic sea ice extent over the past 200 years
    About
    |
    Contact
    |
    Copyright © PubCard