Articles | Volume 14, issue 10
https://doi.org/10.5194/gmd-14-6113-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-14-6113-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Effect of horizontal resolution on the simulation of tropical cyclones in the Chinese Academy of Sciences FGOALS-f3 climate system model
Jinxiao Li
State Key Laboratory of Numerical Modeling for Atmospheric Sciences
and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese
Academy of Sciences, Beijing 100029, China
Qing Bao
CORRESPONDING AUTHOR
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
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18 citations as recorded by crossref.
- Tropical cyclone strength, precipitation, and environment in variable resolution CAM-MPAS simulations over Western North Pacific Y. Liang et al. 10.1007/s00382-023-06677-y
- Influence of Dynamic and Thermal Effects of Asian Topography on Tropical Cyclone Activity as Simulated in a Global Climate Model J. Li 10.3390/atmos14050905
- Historical Evolution and Future Trends of Precipitation Based on Integrated Datasets and Model Simulations of Arid Central Asia B. Xie et al. 10.3390/rs15235460
- Sensitivities of simulated global aerosol optical depth and aerosol-radiation interactions to different horizontal resolutions in CAS-FGOALS-f3 M. Zhao et al. 10.1016/j.atmosenv.2021.118920
- Assessing South Indian Ocean tropical cyclone characteristics in HighResMIP simulations P. Pall et al. 10.1002/joc.8609
- Regional climate simulation of tropical cyclone at gray-zone resolution over western North Pacific: with/without cumulus parameterization G. Bian et al. 10.1007/s00382-023-06740-8
- Comprehensive evaluation of typical planetary boundary layer (PBL) parameterization schemes in China – Part 2: Influence of uncertainty factors W. Jia et al. 10.5194/gmd-16-6833-2023
- Using high resolution climate models to explore future changes in post-tropical cyclone precipitation E. Bower & K. Reed 10.1088/1748-9326/ad2163
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- Monthly prediction of tropical cyclone activity over the South China Sea using the FGOALS-f2 ensemble prediction system S. Li et al. 10.1016/j.aosl.2021.100116
- Bias Analysis in the Simulation of the Western North Pacific Tropical Cyclone Characteristics by Two High-Resolution Global Atmospheric Models Q. Liu et al. 10.1007/s00376-022-2159-2
- Improving the Forecasting of Winter Wheat Yields in Northern China with Machine Learning–Dynamical Hybrid Subseasonal-to-Seasonal Ensemble Prediction J. Cao et al. 10.3390/rs14071707
- Tropical instability waves in a high-resolution oceanic and coupled GCM T. Li et al. 10.1016/j.ocemod.2023.102169
- Role of assimilation of microwave humidity sounder (MHS) satellite radiance in forecast of structure and intensity of VSCS Vardah 2016 A. Thankachan & K. Satya Singh 10.1016/j.asr.2024.06.068
- Hurricane season complexity: The case of North-Atlantic tropical cyclones E. Roca-Flores et al. 10.1142/S0129183123501516
- Tropical Cyclone Detection from the Thermal Infrared Sensor IASI Data Using the Deep Learning Model YOLOv3 L. Lam et al. 10.3390/atmos14020215
- High‐Resolution CCAM Simulations Over New Zealand and the South Pacific for the Detection and Attribution of Weather Extremes P. Gibson et al. 10.1029/2023JD038530
- CAS FGOALS-f3-H Dataset for the High-Resolution Model Intercomparison Project (HighResMIP) Tier 2 B. An et al. 10.1007/s00376-022-2030-5
1 citations as recorded by crossref.
Latest update: 13 Dec 2024
Short summary
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...