Latest Update:2024/03/11 13:27:48

JIN Yoshitaka

Researcher Name
JIN Yoshitaka
Div (Section) name/title
Earth System Division(Atmospheric Remote Sensing Section)/Senior Researcher
Research Subject
  • 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
  • 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)
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  • Original Paper
  • Other Publications
Research Result (Presentation)
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  • Research Presentation
  • Research Lecture