Latest Update:2024/11/15 18:36:03

GOTO Daisuke

Researcher Name
GOTO Daisuke
Div (Section) name/title
Regional Environment Conservation Division(Regional Atmospheric Modeling Section)/Chief Senior Researcher
Research Subject
Numerical simulations using atmospheric air pollution transport models in global and regional scales
Degree(s)
Ph.D
Professional Qualification(s)
Chemistry,Physics
Environmental Speciality Field
air pollution,aerosol
Keyword(s)
modeling of air pollution,global climate modeling
URL
https://www.nies.go.jp/chiiki/en/goto_daisuke_en.html
Research Subject
  • Fiscal Year: 2024
    • 26799 : Climate Change and Air Quality Research Program
    • 26818 : Improving the simulation of climate and air quality using the latest emissions of GHG and SLCF
    • 26864 : Regional Environment Conservation Domain: Foresight and Advanced Basic Research
    • 26887 : Quantitative assessment of climate change by short-lived climate forcers using a high-resolution climate model
    • 26888 : Research on air pollution prediction by assimilating aerosol products retrieved from satellites
    • 27027 : Development of a modeling infrastructure for GHG-SLCF integrated analyses
    • 27071 : Development of an observation-based early estimation system for surface fluxes of GHG and other related species
  • Fiscal Year: 2023
    • 26400 : Climate Change and Air Quality Research Program
    • 26411 : Improving the simulation of climate and air quality using the latest emissions of GHG and SLCF
    • 26453 : Regional Environment Conservation Domain: Foresight and Advanced Basic Research
    • 26492 : Assessment on climate impacts of short-lived climate forcers by composition and region with hierarchical numerical models
    • 26493 : Quantitative assessment of climate change by short-lived climate forcers using a high-resolution climate model
    • 26494 : Research on air pollution prediction by assimilating aerosol products retrieved from satellites
    • 26626 : Development of a modeling infrastructure for GHG-SLCF integrated analyses
    • 26635 : Dissemination of information and support for numerical simulations to local governments related to air pollution forecasting
  • Fiscal Year: 2022
    • 25964 : Climate Change and Air Quality Research Program
    • 25966 : Quantitative evaluation of anthropogenic sources of SLCFs and greenhouse gases at region, country and city scale
    • 25967 : Improving the simulation of climate and air quality using the latest emissions of GHG and SLCF
    • 26010 : Regional Environment Conservation Domain: Foresight and Advanced Basic Research
    • 26036 : Assessment on climate impacts of short-lived climate forcers by composition and region with hierarchical numerical models
    • 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
    • 26039 : Research on air pollution prediction by assimilating aerosol products retrieved from satellites
    • 26169 : Dissemination of information and support for numerical simulations to local governments related to air pollution forecasting
    • 26351 : Large Ensemble Atmospheric and Environmental Prediction for Disaster Prevention and Mitigation
  • Fiscal Year: 2021
    • 25498 : Climate Change and Air Quality Research Program
    • 25507 : Quantitative evaluation of anthropogenic sources of SLCFs and greenhouse gases at region, country and city scale
    • 25508 : Improving the simulation of climate and air quality using the latest emissions of GHG and SLCF
    • 25604 : Development of air pollution forecasting system by using aerosol data assimilation of satellites including SGLI
    • 25605 : Assessment on climate impacts of short-lived climate forcers by composition and region with hierarchical numerical models
    • 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
    • 25663 : Dissemination of information and support for numerical simulations to local governments related to air pollution forecasting
    • 25713 : Regional Environment Conservation Domain: Foresight and Advanced Basic Research
    • 25855 : Large Ensemble Atmospheric and Environmental Prediction for Disaster Prevention and Mitigation
  • Fiscal Year: 2020
    • 25099 : Research Program on Health and Environmental Safety
    • 25127 : Center for Climate Change Adaptation (CCCA)
    • 25146 : A study of Air Pollution Including PM2.5 and its Health and Toxic Effects
    • 25176 : Improvement of assessment methods for atmospheric behavior of hazardous materials by comprehensively analyzing nuclear accident data
    • 25177 : Assessment on climate impacts of short-lived climate forcers by composition and region with hierarchical numerical models
    • 25178 : Development of air pollution forecasting system by using aerosol data assimilation of satellites including SGLI
    • 25232 : Development of a methodology to forecast global air pollution by assimilating high-resolved spatiotemporal measurements
    • 25455 : Large Ensemble Atmospheric and Environmental Prediction for Disaster Prevention and Mitigation
  • Fiscal Year: 2019
    • 24696 : Research Program on Health and Environmental Safety
    • 24726 : A study of Air Pollution Including PM2.5 and its Health and Toxic Effects
    • 24757 : Center for Climate Change Adaptation (CCCA)
    • 24776 : Refinement of secondary components of PM2.5 by spatially seamless air pollutant transport model
    • 24777 : Improvement of assessment methods for atmospheric behavior of hazardous materials by comprehensively analyzing nuclear accident data
    • 24778 : Development of air pollution forecasting system by using aerosol data assimilation of satellites including SGLI
    • 25063 : Assessment on climate impacts of short-lived climate forcers by composition and region with hierarchical numerical models
  • Fiscal Year: 2018
    • 24309 : A study of air pollution including PM2.5 and its health and toxic effects
    • 24340 : Climate Change Strategy Collaboration Office
    • 24355 : Research program on health and environmental safety
    • 24370 : Development of prototype for next generation air pollution forecasting system
    • 24371 : Refinement of secondary components of PM2.5 by spatially seamless air pollutant transport model
    • 24372 : Improvement of Assessment Methods for Atmospheric Behavior of Hazardous Materials by Comprehensively Analyzing Nuclear Accident Data
  • Fiscal Year: 2017
    • 23819 : A study of air pollution including PM2.5 and its health and toxic effects
    • 23847 : Research program on health and environmental safety
    • 23861 : Climate Change Strategy Collaboration Office
    • 23886 : Refinement of secondary components of PM2.5 by spatially seamless air pollutant transport model
    • 23887 : Interdisciplinary Study on Inhalation Exposure and Risk Assessment focusing on Suspended Particles derived from the Nuclear Accident (Subtheme 5) Development of integrated model of atmospheric diffusion model and exposure model
    • 24164 : Development of evaluation system for multiscale air quality change and analysis of change events
  • Fiscal Year: 2016
    • 23414 : Research program on health and environmental safety
    • 23420 : A study of air pollution including PM2.5 and its health and toxic effects
    • 23464 : Development of evaluation system for multiscale air quality change and analysis of change events
    • 23465 : Interdisciplinary Study on Inhalation Exposure and Risk Assessment focusing on Suspended Particles derived from the Nuclear Accident (Subtheme 5) Development of integrated model of atmospheric diffusion model and exposure model
    • 23611 : Improvement of PM2.5 simulation with a new atmospheric transport model covering from global to regional hybrid scales
    • 23709 : Improvement of a simulation model and emission data and evaluation of the aerosol volatilization characteristic for the improvement of the accuracy of PM2.5 forecast
  • Fiscal Year: 2015
    • 23004 : Evaluation of multi-scale air pollution by integration of observation and model
    • 23068 : Improvement of PM2.5 simulation with a new atmospheric transport model covering from global to regional hybrid scales
    • 23115 : Development of the PM2.5 warning method with the combination of observations and numerical forecasts
    • 23184 : Improvement of a simulation model and emission data and evaluation of the aerosol volatilization characteristic for the improvement of the accuracy of PM2.5 forecast
    • 23320 : Development of evaluation system for multiscale air quality change and analysis of change events
    • 23321 : Interdisciplinary Study on Inhalation Exposure and Risk Assessment focusing on Suspended Particles derived from the Nuclear Accident (Subthema 5) Development of integrated model of atmospheric diffusion model and exposure model
  • Fiscal Year: 2014
    • 22592 : Evaluation of multi-scale air pollution by integration of observation and model
    • 22838 : A study of air pollutions with high resolution using a global cloud-resolving model
    • 22840 : Improvement of PM2.5 simulation with a new atmospheric transport model covering from global to regional hybrid scales
    • 22856 : Development of the PM2.5 warning method with the combination of observations and numerical forecasts
    • 22865 : Improvement of a simulation model and emission data and evaluation of the aerosol volatilization characteristic for the improvement of the accuracy of PM2.5 forecast
    • 22950 : Development of evaluation system for multiscale air quality change and analysis of change events
  • Fiscal Year: 2013
    • 22176 : Evaluation of multi-scale air pollution by integration of observation and model
    • 22452 : Development of Seamless Chemical AssimiLation System and its Application for Atmospheric Environmental Materials (Project SALSA) (2) Development of assimilation and inversion system for air pollutants and dust
    • 22464 : Development of the PM2.5 warning method with the combination of observations and numerical forecasts
  • Fiscal Year: 2012
    • 21747 : Evaluation of multi-scale air pollution by integration of observation and model
    • 21908 : Development of Seamless Chemical AssimiLation System and its Application for Atmospheric Environmental Materials (Project SALSA) (2) Development of assimilation and inversion system for air pollutants and dust
    • 21920 : Intercomparison of chemical transport models using integrated measurements over Asia
Research Result (Publication)
  • all
  • Original Paper
  • Book
  • Atmospheric Radionuclides Concentrations Just After the Fukushima Accident
    Presenter : Tsuruta H., Oura Y., Ebihara M., Goto D.
    Title : , Environmental Contamination from the Fukushima Nuclear Disaster: Dispersion, Monitoring, Mitigation and Lessons Learned (2019)
  • Multi-scale Simulations of Atmospheric Pollutants Using a Non-hydrostatic Icosahedral Atmospheric Model
    Presenter : Goto D., Nakajima T., Dai T., Yashiro H., Sato Y., Suzuki K., Uchida J., Misawa S., Yonemoto R., Trieu T.T.N., Tomita H., Satoh M.
    Title : , Land-Atmospheric Research Applications in South and Southeast Asia (2018)
Research Result (Presentation)
  • all
  • Research Presentation
  • Research Lecture
  • Seamless global-to-regional simulation of aerosols with O(10km) grid spacing
    Presenter : Goto D.
    Name of Society : 2nd International Workshop on SLCPs in Asia: Chemistry-climate modeling and its applications (2016)
    Name of Proceedings : -