JIN Yoshitaka

Researcher Name
JIN Yoshitaka
Div (Section) name/title
Earth System Division(Atmospheric Remote Sensing Section)/Senior Researcher

Research Subject

  • Fiscal Year: 2025

    • 27188 : Climate Change and Air Quality Research Program
    • 27204 : Quantitative evaluation of anthropogenic sources of SLCFs and greenhouse gases at region, country and city scale
    • 27244 : Earth System Domain: Foresight and Advanced Basic Research
    • 27253 : Satellite Observation Project
    • 27527 : Development of the identification method based on monitoring data and evaluation of economic impact of Asian dust
    • 27528 : Maintenance and quality assurance of AD-Net lidar network for Asian dust monitoring
    • 27529 : Study on the concept of a future greenhouse gas observation satellite mission
    • 27543 : Study on simulation of simultaneous assimilation of multiple elements of atmospheric aerosols
    • 27544 : Development of aerosol and cloud retrieval algorithms using the EarthCARE satellite-borne lidar and imager and its ground-based validation
  • Fiscal Year: 2024

    • 26799 : Climate Change and Air Quality Research Program
    • 26816 : Quantitative evaluation of anthropogenic sources of SLCFs and greenhouse gases at region, country and city scale
    • 26859 : Earth System Domain: Foresight and Advanced Basic Research
    • 26874 : Satellite Observation Project
    • 26967 : Study on the concept of a future greenhouse gas observation satellite mission
    • 27066 : Quantitative analysis of aerosol influence on mixed-phase clouds with active sensors
    • 27126 : Development of aerosol and cloud retrieval algorithms using the EarthCARE satellite-borne lidar and imager and its ground-based validation
    • 27127 : Study on simulation of simultaneous assimilation of multiple elements of atmospheric aerosols
    • 27128 : Cloud and aerosol interaction studies using next-generation active sensors
    • 27161 : Maintenance and quality assurance of AD-Net lidar network for Asian dust monitoring
  • Fiscal Year: 2023

    • 26400 : Climate Change and Air Quality Research Program
    • 26410 : Quantitative evaluation of anthropogenic sources of SLCFs and greenhouse gases at region, country and city scale
    • 26450 : Earth System Domain: Foresight and Advanced Basic Research
    • 26459 : Satellite Observation Project
    • 26677 : Quantitative analysis of aerosol influence on mixed-phase clouds with active sensors
    • 26678 : Meteorological research on Asian dust hotspot - Application of Himawari-8 dust RGB images and lidar observation network data
    • 26679 : Grasp of the movement of aerosols and atmospheric trace gases using SAVER-Net observation network in South America.
    • 26700 : Development of aerosol and cloud retrieval algorithms using the EarthCARE satellite-borne lidar and imager and its ground-based validation
    • 26764 : Maintenance and quality assurance of AD-Net lidar network for Asian dust monitoring
    • 26779 : Study on simulation of simultaneous assimilation of multiple elements of atmospheric aerosols
  • 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
    • 26006 : Earth System Domain: Foresight and Advanced Basic Research
    • 26023 : Satellite Observation Project
    • 26038 : Development of a methodology to forecast global air pollution by assimilating high-resolved spatiotemporal measurements
    • 26124 : Grasp of the movement of aerosols and atmospheric trace gases using SAVER-Net observation network in South America.
    • 26160 : Prediction and Detection of Variability in Asian Dust Emission and Transport Affected by Climate Change
    • 26177 : Development of aerosol and cloud retrieval algorithms using the EarthCARE satellite-borne lidar and imager and its ground-based validation
    • 26216 : Study on simulation of simultaneous assimilation of multiple elements of atmospheric aerosols
    • 26280 : Development of low-cost high-spectral-resolution lidar for air quality monitoring network
    • 26282 : Meteorological research on Asian dust hotspot - Application of Himawari-8 dust RGB images and lidar observation network data
    • 26289 : Quantitative analysis of aerosol influence on mixed-phase clouds with active sensors
  • 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
    • 25556 : Satellite Observation Project
    • 25606 : Development of a methodology to forecast global air pollution by assimilating high-resolved spatiotemporal measurements
    • 25626 : Research on cloud microphysics and vertical flow by synergy analysis of satellite measurements with next-generation active remote sensors
    • 25627 : Development of cloud and aerosol retrieval algorithms using EarthCARE satellite-borne lidar and imager
    • 25628 : Grasp of the movement of aerosols and atmospheric trace gases using SAVER-Net observation network in South America.
    • 25655 : Earth System Domain: Foresight and Advanced Basic Research
    • 25692 : Prediction and Detection of Variability in Asian Dust Emission and Transport Affected by Climate Change
    • 25754 : Development of low-cost high-spectral-resolution lidar for air quality monitoring network
    • 25755 : Meteorological research on Asian dust hotspot - Application of Himawari-8 dust RGB images and lidar observation network data
  • Fiscal Year: 2020

    • 25204 : Prediction and Detection of Variability in Asian Dust Emission and Transport Affected by Climate Change
    • 25226 : Research on cloud microphysics and vertical flow by synergy analysis of satellite measurements with next-generation active remote sensors
    • 25227 : Grasp of the movement of aerosols and atmospheric trace gases using SAVER-Net observation network in South America.
    • 25228 : Development of cloud and aerosol retrieval algorithms using EarthCARE satellite-borne lidar and imager
    • 25232 : Development of a methodology to forecast global air pollution by assimilating high-resolved spatiotemporal measurements
    • 25285 : Development of low-cost high-spectral-resolution lidar for air quality monitoring network
  • Fiscal Year: 2019

    • 24764 : Grasp of the movement of aerosols and atmospheric trace gases using SAVER-Net observation network in South America.
    • 24766 : Research on cloud microphysics and vertical flow by synergy analysis of satellite measurements with next-generation active remote sensors
    • 24768 : Development of cloud and aerosol retrieval algorithms using EarthCARE satellite-borne lidar and imager
  • Fiscal Year: 2017

    • 24169 : Study on construction of monitoring, forecasting, and warning system for tropospheric aerosol events
  • Fiscal Year: 2016

    • 23466 : Study on construction of monitoring, forecasting, and warning system for tropospheric aerosol events
  • Fiscal Year: 2015

    • 23287 : Study on construction of monitoring, forecasting, and warning system for tropospheric aerosol events
  • Fiscal Year: 2014

    • 22912 : Study on validation of ATLID products and ATLID-CPR and ATLID-MSI synergy products using ground-based lidar and radiometer networks

Research Result (Publication)

Research Result (Presentation)