Atmospheric and Hydrospheric Sciences (A) | ||
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Session Sub-category | Atmospheric Sciences, Meteorology & Atmospheric Environment(AS) | |
Session ID | A-AS01 | |
Title | High performance computing for next generation weather, climate, and environmental sc iences | |
Short Title | HPC for meteorological sciences | |
Main Convener | Name | Hiromu Seko |
Affiliation | Meteorological Research Institute | |
Co-Convener 1 | Name | Takemasa Miyoshi |
Affiliation | RIKEN | |
Co-Convener 2 | Name | Chihiro Kodama |
Affiliation | Japan Agency for Marine-Earth Science and Technology | |
Co-Convener 3 | Name | Masayuki Takigawa |
Affiliation | Japan Agency for Marine-Earth Science and Technology | |
Session Language | E | |
Scope | A lot of advanced simulation studies are being conducted by high performance supercomputers, such as K computer and Earth Simulator, in various fields including meteorology. The high performance supercomputers enable us to conduct numerical simulations and data assimilation of observation big-data (huge high-density and high-frequency data) with an order of magnitude higher resolutions and ensemble numbers than those with the previous supercomputers. In addition, the post-K computer will be available as a successor of K, and studies for the post-K computer are in progress. At this session, we comprehensively pick up the topics in the Atmospheric and Hydrospheric Sciences Sessions of the 2019 Union Meeting that comprise the atmospheric, oceanic and land sciences. This session aims to promote recent studies related to the issues on high performance computing in weather, climate, and environmental studies using the K computer and other supercomputers, and to enhance discussions on future directions of numerical simulations in meteorology. | |
Presentation Format | Oral and Poster presentation | |
Invited Authors | Yousuke Yamashita (Japan Agency for Marine-Earth Science and Technology) Shunji Kotsuki (RIKEN Advanced Institute for Computational Science) Eigo Tochimoto (Atmosphere and Ocean Research Institute, The University of Tokyo) Masaki Satoh (Atmosphere and Ocean Research Institute, The University of Tokyo) |
Time | Presentation No | Title | Presenter | Abstract |
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Oral Presentation May 29 AM1 | ||||
09:00 - 09:15 | AAS01-01 | Data Assimilation Studies using Big Observation Data in the Projects of Post K and BDA | Hiromu Seko | |
09:15 - 09:30 | AAS01-02 | High-resolution Numerical Weather Simulation with a Large Domain for Extreme Heavy Rainfall Events | Tsutao OIZUMI | |
09:30 - 09:45 | AAS01-03 | A Numerical Case Study on a Tornado that Formed in a Quasi Linear Convective System | Eigo Tochimoto | |
09:45 - 10:00 | AAS01-04 | Improving the observation operator for Phased Array Weather Radar in the SCALE-LETKF system | Arata Amemiya | |
10:00 - 10:15 | AAS01-05 | Data assimilation and forecast experiments for the record-breaking rainfall event in Japan in July 2018 with NICAM-LETKF at 112-km and 28-km resolution | Koji Terasaki | |
10:15 - 10:30 | AAS01-06 | Model Parameter Estimation with Data Assimilation Using NICAM-LETKF | Shunji Kotsuki | |
Oral Presentation May 29 AM2 | ||||
10:45 - 11:00 | AAS01-07 | 3D debris flow simulations by using smoothed particle hydrodynamics (SPH) method | Shoji Ueta | |
11:00 - 11:15 | AAS01-08 | Regional atmospheric data assimilation coupled with an ocean mixed layer model: a case of typhoon Soudelor (2015) | Kohei Takatama | |
11:15 - 11:30 | AAS01-09 | Effective Radiative Forcing and Climate Response to Short-Lived Climate Pollutants Under Different Scenarios | Bing Xie | |
11:30 - 11:45 | AAS01-10 | The NICAM–SPRINTARS simulation of the long-range transport of black carbon using the K computer | Yousuke Yamashita | |
11:45 - 12:00 | AAS01-11 | High-resolution, ensemble simulations of intense tropical cyclones and their stochasticity during the El Niños of 1997 and 2015 | Yohei Yamada | |
12:00 - 12:15 | AAS01-12 | NICAM results of the project DYAMOND for global storm-resolving model intercomparison | Masaki Satoh | |
Presentation No | Title | Presenter | Abstract |
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Poster Presentation May 29 PM2 | |||
AAS01-P01 | Categorized correction forecast for accumulative precipitation of heavy rainfall processes based on optimal probability (OPPF) in medium-extended-range forecast time | Ruoyun Niu | |
AAS01-P02 | Characteristics of temporal and spatial distribution of regional rainstorm processes to the east of 95ºE in China during 1981-2015 | Ruoyun Niu | |
AAS01-P03 | Near-real-time SCALE-LETKF forecasts of the record breaking rainfall in Japan in July 2018 | Takumi Honda | |
AAS01-P04 | An objective Frontal Analysis Techniques and Application in Model Verification | couhua liu | |
AAS01-P05 | Assimilating every 30-second phased array weather radar data in a torrential rainfall event on July 6, 2018 around Kobe city | Yasumitsu Maejima | |
AAS01-P06 | The impact of range sidelobes from phased array weather radar observations to short-range convective forecasts | James David Taylor | |
AAS01-P07 | Development of Hydro-debris 2D model for larger area | Yosuke Alexandre Yamashiki | |
AAS01-P08 | Research on the application of an improved terrain-following vertical coordinates on GRAPES modelchao li | | |
AAS01-P09 | Development of a parallel spherical harmonic transform library: design and performance | Fuyuki SAITO | |
AAS01-P10 | Global data assimilation of multi-species satellite measurements for atmospheric chemistry analysis | Takashi Sekiya | |
AAS01-P11 | The sensitivity to WRF shortwave radiation parameterizations in prediction of global horizontal irradiance for investigating interactions of atmosphere with croplands | Ankur Srivastava | |
AAS01-P12 | The development of an atmospheric aerosol/chemistry–climate model, BCC_AGCM_CUACE2.0, and simulated effective radiative forcing of nitrate aerosols | QI AN | |
AAS01-P13 | Impacts of different types and intensities of El Niño events on winter aerosols over China | Xiaochao Yu | |
AAS01-P14 | High Cloud Annual Variation and Its Responses to Global Warming in the NICAM AMIP Experiment | Ying-Wen Chen | |
AAS01-P15 | Improvements in Simulating the Relationship between ENSO and East Asian Summer Rainfall in the CMIP5 Models | Yuanhai FU |