State Key Laboratory of Numerical Modeling for Atmospheric Sciences
and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese
Academy of Sciences, Beijing 100029, China
State Key Laboratory of Numerical Modeling for Atmospheric Sciences
and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese
Academy of Sciences, Beijing 100029, China
Yimin Liu
State Key Laboratory of Numerical Modeling for Atmospheric Sciences
and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese
Academy of Sciences, Beijing 100029, China
Lei Wang
State Key Laboratory of Numerical Modeling for Atmospheric Sciences
and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese
Academy of Sciences, Beijing 100029, China
College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
Jing Yang
State Key Laboratory of Earth Surface Processes and Resource Ecology,
Faculty of Geographical Science, Beijing Normal University, Beijing 100875,
China
Southern Marine Science and Engineering Guangdong Laboratory,
Guangzhou 511458, China
Guoxiong Wu
State Key Laboratory of Numerical Modeling for Atmospheric Sciences
and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese
Academy of Sciences, Beijing 100029, China
Xiaofei Wu
School of Atmospheric Sciences/Plateau Atmosphere and Environment Key
Laboratory of Sichuan Province, Chengdu University of Information
Technology, Chengdu 610225, China
Bian He
State Key Laboratory of Numerical Modeling for Atmospheric Sciences
and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese
Academy of Sciences, Beijing 100029, China
Xiaocong Wang
State Key Laboratory of Numerical Modeling for Atmospheric Sciences
and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese
Academy of Sciences, Beijing 100029, China
Xiaoqi Zhang
School of Atmospheric Sciences, Nanjing University of Information
Science and Technology, Nanjing 210044, China
State Key Laboratory of Numerical Modeling for Atmospheric Sciences
and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese
Academy of Sciences, Beijing 100029, China
Yaoxian Yang
State Key Laboratory of Numerical Modeling for Atmospheric Sciences
and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese
Academy of Sciences, Beijing 100029, China
Zili Shen
Collaborative Innovation Center on Forecast and Evaluation of
Meteorological Disasters, Nanjing University of Information Science and
Technology, Nanjing 210044, China
State Key Laboratory of Numerical Modeling for Atmospheric Sciences
and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese
Academy of Sciences, Beijing 100029, China
Viewed
Total article views: 4,646 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
3,157
1,376
113
4,646
94
165
HTML: 3,157
PDF: 1,376
XML: 113
Total: 4,646
BibTeX: 94
EndNote: 165
Views and downloads (calculated since 15 Mar 2021)
Cumulative views and downloads
(calculated since 15 Mar 2021)
Total article views: 3,548 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
2,624
825
99
3,548
90
156
HTML: 2,624
PDF: 825
XML: 99
Total: 3,548
BibTeX: 90
EndNote: 156
Views and downloads (calculated since 12 Oct 2021)
Cumulative views and downloads
(calculated since 12 Oct 2021)
Total article views: 1,098 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
533
551
14
1,098
4
9
HTML: 533
PDF: 551
XML: 14
Total: 1,098
BibTeX: 4
EndNote: 9
Views and downloads (calculated since 15 Mar 2021)
Cumulative views and downloads
(calculated since 15 Mar 2021)
Viewed (geographical distribution)
Total article views: 4,646 (including HTML, PDF, and XML)
Thereof 4,423 with geography defined
and 223 with unknown origin.
Total article views: 3,548 (including HTML, PDF, and XML)
Thereof 3,434 with geography defined
and 114 with unknown origin.
Total article views: 1,098 (including HTML, PDF, and XML)
Thereof 989 with geography defined
and 109 with unknown origin.
The configuration and simulated performance of tropical cyclones (TCs) in FGOALS-f3-L/H will be introduced firstly. The results indicate that the simulated performance of TC activities is improved globally with the increased horizontal resolution especially in TC counts, seasonal cycle, interannual variabilities and intensity aspects. It is worth establishing a high-resolution coupled dynamic prediction system based on FGOALS-f3-H (~ 25 km) to improve the prediction skill of TCs.
The configuration and simulated performance of tropical cyclones (TCs) in FGOALS-f3-L/H will be...
