Atmospheric and Hydrospheric Sciences (A)
Session Sub-category Atmospheric Sciences, Meteorology & Atmospheric Environment(AS)
Session ID A-AS05
Title Weather, Climate, and Environmental Science Studies using High-Performance Computing
Short Title Weather/Climate Studies using HPC
Main Convener Name Hisashi Yashiro
Affiliation National Institute for Environmental Studies
Co-Convener 1 Name Masuo Nakano
Affiliation Japan Agency for Marine-Earth Science and Technology
Co-Convener 2 Name Miyakawa Tomoki
Affiliation Atmosphere and Ocean Research Institute, The University of Tokyo
Co-Convener 3 Name Takuya Kawabata
Affiliation Meteorological Research Institute
Session Language
E
Scope
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.
Presentation Format Oral and Poster presentation
Invited Authors Marta Alerany Sole (Barcelona Supercomputing Center)
Shao-Yu Tseng (National Taiwan University)
Chihiro Kodama (Japan Agency for Marine-Earth Science and Technology)
Bertrand Rouet-Leduc (Kyoto University)
Ya Ling Li (National Defense University)
Jiah Jang
Time Presentation No Title Presenter
Oral Presentation May 28 PM1
13:45 - 14:00 AAS05-01 Earth system model replicability - Statistical validation of a model's climate under a change of computing environment Kai Keller
14:00 - 14:15 AAS05-02 Scalar metrics for evaluating the scientific skill of Earth System Models Marta Alerany Sole
14:15 - 14:30 AAS05-03 Projecting future snow changes at kilometer scale for adaptation using machine learning and a CMIP6 multi-model ensemble Alessandro Damiani
14:30 - 14:45 AAS05-04 The Dependence of Tropical Cyclone Seed Genesis on Convection Aggregation Stages Shao-Yu Tseng
14:45 - 15:00 AAS05-05 Thermodynamics-Convection Coupling and Precipitation Characteristics In Global Km-scale Simulations Daisuke Takasuka
15:00 - 15:15 AAS05-06 Local Clustering of Inertial Cloud Droplets in Non-Equilibrium Turbulence Taketo Tominaga
Oral Presentation May 28 PM2
15:30 - 15:45 AAS05-07 Efforts in the Field of Weather and Climate towards Next-Generation Supercomputing Infrastructures around 2030 Chihiro Kodama
15:45 - 16:00 AAS05-08 Evaluating FourCastNet with High-Resolution Data, Varied Internal Resolutions, and Data Conversion Aihisa KAMIJO
16:00 - 16:15 AAS05-09 Tropical cyclone seasonal hindcast by a Neural-Physics hybrid AGCM Masuo Nakano
16:15 - 16:30 AAS05-10 Detection of methane emissions in satellite data at large scale using deep learning Bertrand Rouet-Leduc
16:30 - 16:45 AAS05-11 Modelling and Analysis of heat stress over an Urban city in India Abhinav Utpal
Presentation No Title Presenter
Poster Presentation May 28 PM3
AAS05-P01 Dynamically computed characteristic adjustment time scale for Zhang-McFarlane convective parameterization scheme Minghao Wang
AAS05-P02 The Effects of Increasing the Coupling Frequency and Considering the Sublayer Temperature on the Simulation by CAS-ESM2 Xiao Dong
AAS05-P03 Asymmetrical Responses of the ITCZ to Symmetrical Thermal Forcings at Different Latitudes Shuyun Zhao
AAS05-P04 Downstream and upstream effects of urban chains on precipitation in Beijing Jingjing Dou
AAS05-P05 Case Study on the Characteristics of the Atmospheric Boundary Layer in Taipei and Yilan of Northern Taiwan during Winter PEI-DI JENG
AAS05-P06 Wind and Wave Forecasting in the Taiwan Strait: Assessing UFS and GFS Models Through the 2022 Kinmen Shipwreck Case Ya Ling Li
AAS05-P07 Case Simulation Study and Adaptation Methods for the Spread of Dengue Fever in Taiwan JOU PING HOU
AAS05-P08 Preliminary Study on Constructing Grid-Based Meteorological Data for Taiwan Using Machine Learning Models Yu-Chi Wang
AAS05-P09 Enhancement of Precipitation Mapping Accuracy in the Korean Peninsula using AI and Multi-source Dataset Hyoju Park
AAS05-P10 Spatial Analysis and Modeling of Methane Emissions from Rice Paddies Using Machine Learning Based on Satellite Data and Ground Observation Jiah Jang
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 Maejima
AAS05-P12 The spatial distribution of the influence of the vertical structure of aerosol climatology in ICON model in cloudless conditions. Aleksei Poliukhov
AAS05-P13 Estimates of Dynamical Processes Contributions to Interhemispheric CO2 Transport Guangyu LIU
AAS05-P14 Analyzing Trends in Carbon Monoxide and Tropospheric Formaldehyde Over the Ib River Catchment Using Sentinel-5P LEELAMBAR SINGH