Latest Update:2022/08/01 11:03:53

YASHIRO Hisashi

Researcher Name
YASHIRO Hisashi
Div (Section) name/title
Earth System Division(Satellite Remote Sensing Research Section)/Senior Researcher
Research Subject
  • 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
  • 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
  • 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)
  • Presenter : Yashiro H., Terasaki K., Kawai Y., Kudo S., Miyoshi T., Imamura T., Minami K., Inoue H., Nishiki T., Saji T., Satoh M., Tomita H.
    Title : , A 1024-Member Ensemble Data Assimilation with 3.5-Km Mesh Global Weather Simulations. In Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis. Atlanta, Georgia: IEEE Press.  (2020)
Research Result (Presentation)
  • all
  • Research Presentation
  • Research Lecture