Latest Update:2024/05/21 09:51:16

YASHIRO Hisashi

YASHIRO Hisashi
Researcher Name
YASHIRO Hisashi
Div (Section) name/title
Earth System Division(Satellite Remote Sensing Research Section)/Senior Researcher
Research Subject
Weather/Climate/Atmospheric-Environment modeling with high-performance computing
Degree(s)
Ph.D(Sci.)
Professional Qualification(s)
Science,Information Science
Environmental Speciality Field
atmospheric chemistry,material cycle,earth observation satellite
Keyword(s)
computational science,numerical simulation,parallel computing,data assimilation,climate modeling
Career
Oct. 2023 - Present: Acting Chief, Research Information Office, NIES
Jul. 2019 - Present: Senior Researcher, NIES
Oct. 2011 - Jun. 2019: Postdoctoral Researcher, RIKEN Advanced Institute for Computational Science(AICS)→Center for Computational Science(R-CCS)
Nov. 2008 - Sep. 2011: Postdoctoral Researcher, Frontier Research Center for Global Change, Japan Agency for Marine-Earth Science and Technology(JAMSTEC)
Apr. 2007 - Oct. 2008: Postdoctoral Researcher, Center for Atmospheric and Oceanic Studies(CAOS), Tohoku University
URL
https://researchmap.jp/hisashiyashiro
https://orcid.org/0000-0002-2678-526X
https://www.researchgate.net/profile/Hisashi-Yashiro
Membership of Academic Society
Meteorological Society of Japan,The Japan Society of Amospheric Chemistry,Japan Geoscience Union,Information Processing Society of Japan (IPSJ),American Geophysical Union,Association for Computing Machinery
Research Subject
  • Fiscal Year: 2023
    • 26400 : Climate Change and Air Quality Research Program
    • 26409 : Quantitative evaluation of natural and anthropogenic sinks and sources of greenhouse gases at global scale
    • 26450 : Earth System Domain: Foresight and Advanced Basic Research
    • 26459 : Satellite Observation Project
    • 26493 : Quantitative assessment of climate change by short-lived climate forcers using a high-resolution climate model
    • 26626 : Development of a modeling infrastructure for GHG-SLCF integrated analyses
    • 26668 : Innovative Methods for Scientific Computing in the Exascale Era by Integrations of (Simulation + Data + Learning)
    • 26670 : Generation of Millennium Atmospheric Reanalysis Product Research Project
    • 26671 : Research and Study on Next Generation Computing Infrastructure
  • Fiscal Year: 2022
    • 25964 : Climate Change and Air Quality Research Program
    • 25965 : Quantitative evaluation of natural and anthropogenic sinks and sources of greenhouse gases at global scale
    • 25966 : Quantitative evaluation of anthropogenic sources of SLCFs and greenhouse gases at region, country and city scale
    • 26006 : Earth System Domain: Foresight and Advanced Basic Research
    • 26023 : Satellite Observation Project
    • 26037 : Quantitative assessment of climate change by short-lived climate forcers using a high-resolution climate model
    • 26038 : Development of a methodology to forecast global air pollution by assimilating high-resolved spatiotemporal measurements
    • 26150 : Development of high-resolution biosphere model and mitigation scenario
    • 26351 : Large Ensemble Atmospheric and Environmental Prediction for Disaster Prevention and Mitigation
    • 26352 : Innovative Methods for Scientific Computing in the Exascale Era by Integrations of (Simulation + Data + Learning)
    • 26353 : The innovation of high-resolution long-term climate simulation using the parallel-in-time method and the coupling library
    • 26354 : Generation of Millennium Atmospheric Reanalysis Product Research Project
    • 26393 : Research and Study on Next Generation Computing Infrastructure
  • Fiscal Year: 2021
    • 25498 : Climate Change and Air Quality Research Program
    • 25506 : Quantitative evaluation of natural and anthropogenic sinks and sources of greenhouse gases at global scale
    • 25507 : Quantitative evaluation of anthropogenic sources of SLCFs and greenhouse gases at region, country and city scale
    • 25556 : Satellite Observation Project
    • 25606 : Development of a methodology to forecast global air pollution by assimilating high-resolved spatiotemporal measurements
    • 25607 : Quantitative assessment of climate change by short-lived climate forcers using a high-resolution climate model
    • 25655 : Earth System Domain: Foresight and Advanced Basic Research
    • 25829 : Development of high-resolution biosphere model and mitigation scenario
    • 25851 : The innovation of high-resolution long-term climate simulation using the parallel-in-time method and the coupling library
    • 25852 : Innovative Methods for Scientific Computing in the Exascale Era by Integrations of (Simulation + Data + Learning)
    • 25855 : Large Ensemble Atmospheric and Environmental Prediction for Disaster Prevention and Mitigation
  • Fiscal Year: 2020
    • 25122 : Satellite Observation Research Project
    • 25128 : Study on Multi-scale Evaluation System for GHG Variation and Mitigation
    • 25232 : Development of a methodology to forecast global air pollution by assimilating high-resolved spatiotemporal measurements
    • 25453 : The innovation of high-resolution long-term climate simulation using the parallel-in-time method and the coupling library
    • 25454 : Innovative Methods for Scientific Computing in the Exascale Era by Integrations of (Simulation + Data + Learning)
    • 25455 : Large Ensemble Atmospheric and Environmental Prediction for Disaster Prevention and Mitigation
  • Fiscal Year: 2019
    • 25083 : The innovation of high-resolution long-term climate simulation using the parallel-in-time method and the coupling library
    • 25084 : Innovative Methods for Scientific Computing in the Exascale Era by Integrations of (Simulation + Data + Learning)
Research Result (Publication)
  • all
  • Original Paper
  • Book
  • Other Publications
  • Chapter 25 - Enhancing data assimilation of GPM observations
    Presenter : Miyoshi T., Terasaki K., Kotsuki S., Otsuka S., Chen Y.-W., Kanemaru K., Okamoto K., Kondo K., Lien G.-Y., Yashiro H., Tomita H., Satoh M., Kalnay E.
    Title : , Precipitation Science (2021)
  • Precipitation Ensemble Data Assimilation in NWP Models
    Presenter : Miyoshi T., Kotsuki S., Terasaki K., Otsuka S., Lien G.-Y., Yashiro H., Tomita H., Satoh M., Kalnay E.
    Title : , Satellite Precipitation Measurement: Volume 2 (2020)
Research Result (Presentation)
  • all
  • Research Presentation
  • Research Lecture