[E] ポスター発表

セッション記号 A (大気水圏科学) » A-AS 大気科学・気象学・大気環境

[A-AS05] 高性能計算が拓く気象・気候・環境科学

2025年5月28日(水) 17:15 〜 19:15 ポスター会場 (幕張メッセ国際展示場 7・8ホール)

コンビーナ:八代尚(国立研究開発法人国立環境研究所)、中野満寿男(海洋研究開発機構)、宮川知己(東京大学大気海洋研究所)、川畑拓矢(気象研究所)

スーパーコンピュータの高い計算性能は、より高い解像度、より広い計算領域、より多くのアンサンブル数、より精緻な物理過程の利用など、実現可能なモデルシミュレーションの幅の拡大に貢献してきた。一方で計算機トレンドの変化により、気象・気候の大規模計算は計算科学分野とのより密接な連携を必要としている。2025年度から「富岳」に続く日本の次期フラッグシップマシンの設計開発が本格化し、いよいよGPUに代表される計算アクセラレータを活用することが必須となりつつある。高性能計算はデータサイエンスの分野においても威力を発揮し、高頻度高密度の観測ビッグデータを用いたデータ同化手法の研究や、AI技術の複合利用などが近年目覚ましい発展を遂げている。さらにそれらの計算結果に支えられた「デジタルツイン」は、データ基盤整備や社会実装を内包するシステムとして開発研究が活発化している。日本気象学会との共催となる本セッションでは、数値モデリング、ビッグデータ解析、データ同化、AI技術の活用などを含む、「計算」に注目した関する気象・気候・環境科学の研究成果を幅広く募集し、それらの研究の展開と可能性を参加者と共有する。

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17:15 〜 19:15

[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)

17:15 〜 19:15

[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)

17:15 〜 19:15

[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)

17:15 〜 19:15

[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)

17:15 〜 19:15

[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)

17:15 〜 19:15

[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)

17:15 〜 19:15

[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)

17:15 〜 19:15

[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)

17:15 〜 19:15

[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.)

17:15 〜 19:15

[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.)

17:15 〜 19:15

[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

*前島康光¹ (1.神戸大学海事科学研究科)

17:15 〜 19:15

[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)

17:15 〜 19:15

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

*劉光宇¹、八代尚¹、丹羽洋介¹ (1.国立環境研究所)

17:15 〜 19:15

[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)

セッション情報

[A-AS05] 高性能計算が拓く気象・気候・環境科学

[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

認証