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A (Atmospheric and Hydrospheric Sciences ) » A-AS Atmospheric Sciences, Meteorology & Atmospheric Environment

[A-AS05] Weather, Climate, and Environmental Science Studies using High-Performance Computing

Wed. May 28, 2025 5:15 PM - 7:15 PM Poster Hall (Exhibition Hall 7&8, Makuhari Messe)

convener:Hisashi Yashiro(National Institute for Environmental Studies), Masuo Nakano(Japan Agency for Marine-Earth Science and Technology), Miyakawa Tomoki(Atmosphere and Ocean Research Institute, The University of Tokyo), Takuya Kawabata(Meteorological Research Institute)

High-performance computing (HPC) is one of the important research infrastructures supporting Today's weather, climate, and environmental science studies. The computational performance of supercomputers such as the Earth Simulator, the K computer, and Fugaku makes it possible to achieve higher resolution, a wider computational domain, more ensemble calculations, and the use of more sophisticated physical processes. On the other hand, due to changes in computer trends, large-scale computations of weather and climate require closer collaboration with the computational science field. From FY2025, the design and development of Japan's next flagship machine following Fugaku have begun, and it is becoming increasingly essential to utilize computational accelerators such as GPUs. HPC is also showing its power in data science, and research on data assimilation methods using high-frequency/high-density observational big data and the combined use of AI technology has made remarkable progress in recent years. Furthermore, the 'digital twin' concept supported by these computational results is attracting attention as a large-scale system that includes data infrastructure development and social implementation. Co-hosted with the Meteorological Society of Japan, this session calls for research topics in weather, climate, and environmental science that focus on "computation," including numerical modeling, big data analysis, data assimilation, and AI technology. The participants can share future perspectives on atmospheric science research using HPC and the challenges to be addressed.

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5:15 PM - 7:15 PM

[AAS05-P01] Dynamically computed characteristic adjustment time scale for Zhang-McFarlane convective parameterization scheme

*Minghao Wang¹, Lanning Wang² (1.Beijing Climate Centre, 2.Beijing Normal University)

5:15 PM - 7:15 PM

[AAS05-P02] The Effects of Increasing the Coupling Frequency and Considering the Sublayer Temperature on the Simulation by CAS-ESM2

*Xiao Dong¹ (1.institute of atmospheric physics)

5:15 PM - 7:15 PM

[AAS05-P03] Asymmetrical Responses of the ITCZ to Symmetrical Thermal Forcings at Different Latitudes

Xinyu Ma¹, *Shuyun Zhao^1,2, Weichong Huang¹, Hua Zhang^1,2,3, Wuke Wang¹, Lunche Wang⁴ (1.Department of Atmospheric Sciences, School of Environmental Studies, China University of Geosciences, Wuhan, China, 2.Key Laboratory of Meteorological Disaster, Ministry of Education/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, NUIST, 3.State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, China Meteorological Administration, Beijing, China, 4.Department of Geography, School of Geography and Information Engineering, China University of Geosciences, Wuhan, China)

5:15 PM - 7:15 PM

[AAS05-P04] Downstream and upstream effects of urban chains on precipitation in Beijing

*Jingjing Dou^1,2, Jianning Sun³, Robert Bornstein⁴, Shiguang Miao^1,2, Jie Wang^1,2 (1.Institute of Urban Meteorology, China Meteorological Administartion, 2.Key Laboratory of Urban Meteorology, China Meteorological Administration, Beijing, China, 3.School of Atmospheric Sciences and Institute for Climate and Global Change Research, Nanjing University, Nanjing, China, 4.Department of Meteorology and Climatology, San Jose State University, San Jose, CA, USA)

5:15 PM - 7:15 PM

[AAS05-P05] Case Study on the Characteristics of the Atmospheric Boundary Layer in Taipei and Yilan of Northern Taiwan during Winter

*PEI-DI JENG¹, Jou-Ping Hou¹ (1.Chung Cheng Institute of Technology, National Defense University Environmental Information and Engineering Dept)

5:15 PM - 7:15 PM

[AAS05-P06] Wind and Wave Forecasting in the Taiwan Strait: Assessing UFS and GFS Models Through the 2022 Kinmen Shipwreck Case

★Invited Papers

*Ya Ling Li¹, Shih Chiao Tsai¹, Chih Ying Chen², Cheng Hsien Wu¹, Yu Chen Weng¹ (1.National Defense University, 2.RCEC, Academia Sinica)

5:15 PM - 7:15 PM

[AAS05-P07] Case Simulation Study and Adaptation Methods for the Spread of Dengue Fever in Taiwan

*JOU PING HOU¹, Chia-Wei Chang¹, Tzu-Ling Chen¹ (1.Chung Cheng Institute of Technology, National Defense University)

5:15 PM - 7:15 PM

[AAS05-P08] Preliminary Study on Constructing Grid-Based Meteorological Data for Taiwan Using Machine Learning Models

*Yu-Chi Wang¹, Mei-Ling Tang¹, Yi-Sheng Wang¹, Jay Chen², Ming-Long Lee¹ (1.National Center for High-performance Computing, National Applied Research Laboratories. , 2.NVIDIA)

5:15 PM - 7:15 PM

[AAS05-P09] Enhancement of Precipitation Mapping Accuracy in the Korean Peninsula using AI and Multi-source Dataset

*Hyoju Park¹, Riwon Kim¹, Yangwon Lee¹ (1.Pukyong National Univ.)

5:15 PM - 7:15 PM

[AAS05-P10] Spatial Analysis and Modeling of Methane Emissions from Rice Paddies Using Machine Learning Based on Satellite Data and Ground Observation

★Invited Papers

*Jiah Jang¹, Yangwon Lee¹ (1.Pukyong Univ.)

5:15 PM - 7:15 PM

[AAS05-P11] Toward investigation of the potential impact of the single Phased Array Weather Radar observation on a forecast for the July 2020 rainfall event

*Yasumitsu Maejima¹ (1.Graduate School of Maritime Sciences, Kobe University)

5:15 PM - 7:15 PM

[AAS05-P12] The spatial distribution of the influence of the vertical structure of aerosol climatology in ICON model in cloudless conditions.

*Aleksei Poliukhov^1,2, Anna Gvozdeva ¹, Daria Piskunova ^1,2 (1.Lomonosov Moscow State University, 2.Hydrometeorological Research Center of Russian Federation)

5:15 PM - 7:15 PM

[AAS05-P13] Estimates of Dynamical Processes Contributions to Interhemispheric CO₂Transport

*Guangyu LIU¹, Hisashi Yashiro¹, Yosuke Niwa¹ (1.National Institute for Environmental Studies)

5:15 PM - 7:15 PM

[AAS05-P14] Analyzing Trends in Carbon Monoxide and Tropospheric Formaldehyde Over the Ib River Catchment Using Sentinel-5P

*LEELAMBAR SINGH¹, ANKITA SINGH¹ (1.Malaviya National Institute of Technology, Jaipur, India)

Session information

[A-AS05] Weather, Climate, and Environmental Science Studies using High-Performance Computing

[AAS05-P01] Dynamically computed characteristic adjustment time scale for Zhang-McFarlane convective parameterization scheme

[AAS05-P02] The Effects of Increasing the Coupling Frequency and Considering the Sublayer Temperature on the Simulation by CAS-ESM2

[AAS05-P03] Asymmetrical Responses of the ITCZ to Symmetrical Thermal Forcings at Different Latitudes

[AAS05-P04] Downstream and upstream effects of urban chains on precipitation in Beijing

[AAS05-P05] Case Study on the Characteristics of the Atmospheric Boundary Layer in Taipei and Yilan of Northern Taiwan during Winter

[AAS05-P06] Wind and Wave Forecasting in the Taiwan Strait: Assessing UFS and GFS Models Through the 2022 Kinmen Shipwreck Case

★Invited Papers

[AAS05-P07] Case Simulation Study and Adaptation Methods for the Spread of Dengue Fever in Taiwan

[AAS05-P08] Preliminary Study on Constructing Grid-Based Meteorological Data for Taiwan Using Machine Learning Models

[AAS05-P09] Enhancement of Precipitation Mapping Accuracy in the Korean Peninsula using AI and Multi-source Dataset

[AAS05-P10] Spatial Analysis and Modeling of Methane Emissions from Rice Paddies Using Machine Learning Based on Satellite Data and Ground Observation

★Invited Papers

[AAS05-P11] Toward investigation of the potential impact of the single Phased Array Weather Radar observation on a forecast for the July 2020 rainfall event

[AAS05-P12] The spatial distribution of the influence of the vertical structure of aerosol climatology in ICON model in cloudless conditions.

[AAS05-P13] Estimates of Dynamical Processes Contributions to Interhemispheric CO₂Transport

[AAS05-P14] Analyzing Trends in Carbon Monoxide and Tropospheric Formaldehyde Over the Ib River Catchment Using Sentinel-5P

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