Latest Update:2024/03/11 13:27:16

NISHIZAWA Tomoaki

Researcher Name
NISHIZAWA Tomoaki
Div (Section) name/title
Earth System Division(Atmospheric Remote Sensing Section)/Head
Research Subject
Observational studies on temporal and spatial variation of aerosol optical properties using Lidar
Degree(s)
Doctor of Science
Professional Qualification(s)
Science,Physics
Environmental Speciality Field
Atmospheric environment,climate change
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
    • 26679 : Grasp of the movement of aerosols and atmospheric trace gases using SAVER-Net observation network in South America.
    • 26699 : Clarification of half-century changes in East Asian aerosols and the effects of COVID-19 by ground and satellite observation networks
    • 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
    • 26174 : Clarification of half-century changes in East Asian aerosols and the effects of COVID-19 by ground and satellite observation networks
    • 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
  • 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
    • 25947 : Clarification of half-century changes in East Asian aerosols and the effects of COVID-19 by ground and satellite observation networks
  • Fiscal Year: 2020
    • 25122 : Satellite Observation Research Project
    • 25204 : Prediction and Detection of Variability in Asian Dust Emission and Transport Affected by Climate Change
    • 25225 : Observational study on impact of atmospheric aerosol particles originated from forest fire in Indonesia on climate
    • 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
  • Fiscal Year: 2019
    • 24754 : Satellite Observation Research Project
    • 24764 : Grasp of the movement of aerosols and atmospheric trace gases using SAVER-Net observation network in South America.
    • 24765 : Observational study on impact of atmospheric aerosol particles originated from forest fire in Indonesia on climate
    • 24766 : Research on cloud microphysics and vertical flow by synergy analysis of satellite measurements with next-generation active remote sensors
    • 24767 : Advancement of climate change prediction by aerosol ground-based remote-sensing network
    • 24768 : Development of cloud and aerosol retrieval algorithms using EarthCARE satellite-borne lidar and imager
  • Fiscal Year: 2018
    • 24337 : Satellite Observation Research Project
    • 24475 : Advancement of climate change prediction by aerosol ground-based remote-sensing network
    • 24476 : Observational study on impact of atmospheric aerosol particles originated from forest fire in Indonesia on climate
    • 24477 : Research on cloud microphysics and vertical flow by synergy analysis of satellite measurements with next-generation active remote sensors
  • Fiscal Year: 2017
    • 23858 : Satellite Observation Research Project
    • 24037 : Development of an Advisory and Assessment System for the Environmental Impacts of Aeolian Dust
    • 24104 : Study on five-dimensional assimilation of multi-wavelength lidar data and a chemical transport model (tentative title)
    • 24106 : Advancement of climate change prediction by aerosol ground-based remote-sensing network
    • 24108 : Global aerosol analysis using data measured with space-borne active and passive sensors
    • 24114 : Observational study on impact of atmospheric aerosol particles originated from forest fire in Indonesia on climate
    • 24169 : Study on construction of monitoring, forecasting, and warning system for tropospheric aerosol events
    • 24174 : Research on cloud microphysics and vertical flow by synergy analysis of satellite measurements with next-generation active remote sensors
  • Fiscal Year: 2016
    • 23440 : Satellite Observation Research Project
    • 23466 : Study on construction of monitoring, forecasting, and warning system for tropospheric aerosol events
    • 23467 : Study on five-dimensional assimilation of multi-wavelength lidar data and a chemical transport model (tentative title)
    • 23571 : Development of an Advisory and Assessment System for the Environmental Impacts of Aeolian Dust
    • 23646 : Development of combined observation system of multiple scattering lidar and cloud profiling radar and data analysis of global cloud microphysical properties
    • 23647 : Development of aerosol and cloud retrieval algorithms using ATLID and MSI data of EarthCARE
    • 23648 : Global aerosol analysis using data measured with space-borne active and passive sensors
    • 23650 : Advancement of climate change prediction by aerosol ground-based remote-sensing network
  • Fiscal Year: 2015
    • 23025 : Study on the development of advanced spectroscopic remote sensing techniques
    • 23206 : Study of data quality control technique for Mie scattering lidar
    • 23229 : Development of an Advisory and Assessment System for the Environmental Impacts of Aeolian Dust
    • 23287 : Study on construction of monitoring, forecasting, and warning system for tropospheric aerosol events
    • 23288 : Study on five-dimensional assimilation of multi-wavelength lidar data and a chemical transport model (tentative title)
    • 23327 : Development of combined observation system of multiple scattering lidar and cloud profiling radar and data analysis of global cloud microphysocal properties
    • 23328 : Development of aerosol and cloud retrieval algorithms using ATLID and MSI data of EarthCARE
    • 23329 : Global aerosol analysis using data measured with space-borne active and passive sensors
  • Fiscal Year: 2014
    • 22613 : Study on the development of advanced spectroscopic remote sensing techniques
    • 22735 : Development of aerosol and cloud retrieval algorithms using ATLID and MSI data of EarthCARE
    • 22736 : Study on aerosol effect on planetary boundary layer from active and passive remote sensing observations and numerical model simulation
    • 22737 : Development of combined observation system of multiple scattering lidar and cloud profiling radar and data analysis of global cloud microphysocal properties
    • 22738 : Analytical study on temporal and spatial distributions of aerosols using ground-based network lidar data
    • 22889 : Study of data quality control technique for Mie scattering lidar
    • 22909 : Integrated observational and modeling study on kosa impacts throughout Japan for the Japanese PM2.5 regulations
    • 22910 : Study on construction of monitoring, forecasting, and warning system for tropospheric aerosol events
    • 22911 : Study on five-dimensional assimilation of multi-wavelength lidar data and a chemical transport model (tentative title)
    • 22912 : Study on validation of ATLID products and ATLID-CPR and ATLID-MSI synergy products using ground-based lidar and radiometer networks
  • Fiscal Year: 2013
    • 22197 : Study on the development of advanced spectroscopic remote sensing techniques
    • 22290 : Integrated observational and modeling study on kosa impacts throughout Japan for the Japanese PM2.5 regulations
    • 22291 : Study on construction of monitoring, forecasting, and warning system for tropospheric aerosol events
    • 22380 : Study of data quality control technique for Mie scattering lidar
    • 22466 : Development of aerosol and cloud retrieval algorithms using ATLID and MSI data of EarthCARE
    • 22467 : Study on aerosol effect on planetary boundary layer from active and passive remote sensing observations and numerical model simulation
    • 22468 : Analytical study on temporal and spatial distributions of aerosols using ground-based network lidar data
    • 22471 : Development of combined observation system of multiple scattering lidar and cloud profiling radar and data analysis of global cloud microphysocal properties
    • 22547 : Study on validation of ATLID products and ATLID-CPR and ATLID-MSI synergy products using ground-based lidar and radiometer networks
  • Fiscal Year: 2012
    • 21768 : Study on the development of advanced spectroscopic remote sensing techniques
    • 21885 : Integrated observational and modeling study on kosa impacts throughout Japan for the Japanese PM2.5 regulations
    • 21942 : Development of aerosol and cloud retrieval algorithms using ATLID and MSI data of EarthCARE
    • 21945 : Study on distribution and movement of aerosols in East Asia using lidars and ground-based observation network
    • 21946 : Study of data quality control technique for Mie scattering lidar
    • 21948 : Study on aerosol effect on planetary boundary layer from active and passive remote sensing observations and numerical model simulation
    • 21963 : Analytical study on temporal and spatial distributions of aerosols using ground-based network lidar data
  • Fiscal Year: 2011
    • 21326 : Study on the development of advanced spectroscopic remote sensing techniques
    • 21428 : Improvement of kosa forecasting model assimilated with the LIDAR monitoring network data and environmental effective research by its attached bio-aerosol
    • 21440 : Study of data quality control technique for Mie scattering lidar
    • 21442 : Study on distribution and movement of aerosols in East Asia using lidars and ground-based observation network
    • 21443 : Study on development of aerosol and cloud mask scheme using lidar data
  • Fiscal Year: 2010
    • 20892 : Study on distribution and movement of aerosols in East Asia using lidars and ground-based observation network
    • 20923 : Improvement of kosa forecasting model assimilated with the LIDAR monitoring network data and environmental effective research by its attached bio-aerosol
    • 21037 : Development of multi-wavelength high-spectral-resolution lidar for the next-generation atmospheric monitoring network
    • 21044 : Study on development of aerosol and cloud mask scheme using lidar data
    • 21153 : Study of data quality control technique for Mie scattering lidar
  • Fiscal Year: 2009
    • 20436 : Study on temporal and spatial distribution of aerosols over ocean retrieved from data measured with a dual-wavelength polarization Mie-scattering lidar.
    • 20437 : Development of multi-wavelength high-spectral-resolution lidar for the next-generation atmospheric monitoring network
    • 20615 : Improvement of kosa forecasting model assimilated with the LIDAR monitoring network data and environmental effective research by its attached bio-aerosol
    • 20646 : Study on lidar technology for improving the NIES lidar network
    • 20647 : Study of effect of detector characteristics sensitivity for Mie scattering lidar
    • 20648 : Study on measurements of clouds and aerosols using space-borne lidar and radar
    • 20649 : Study on distribution and movement of aerosols in East Asia using lidars and ground-based observation network
  • Fiscal Year: 2008
    • 20064 : Development of an aerosol retrieval algorithm from dual wavelength polarization lidar with simultaneous use of the spectral and polarization properties
    • 20065 : Study on temporal and spatial distribution of aerosols over ocean retrieved from data measured with a dual-wavelength polarization Mie-scattering lidar.
    • 20128 : Study on lidar technology for improving the NIES lidar network
    • 20129 : Study on measurements of clouds and aerosols using space-borne lidar and radar
    • 20130 : Study of effect of detector characteristics sensitivity for Mie scattering lidar
    • 20352 : Development of multi-wavelength high-spectral-resolution lidar for the next-generation atmospheric monitoring network
    • 20370 : Study on distribution and movement of aerosols in East Asia using lidars and ground-based observation network
  • Fiscal Year: 2007
    • 10671 : Development of an aerosol retrieval algorithm from dual wavelength polarization lidar with simultaneous use of the spectral and polarization properties
    • 10698 : Study on lidar technology for improving the NIES lidar network
    • 10699 : Study on measurements of clouds and aerosols using space-borne lidar and radar
    • 10700 : Study on temporal and spatial distribution of aerosols over ocean retrieved from data measured with a dual-wavelength polarization Mie-scattering lidar.
    • 10703 : Study of effect of detector characteristics sensitivity for Mie scattering lidar
Research Result (Publication)
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Research Result (Presentation)
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