SGLI Publication list

• Common
• Land
• Atmosphere
• Ocean
• Cryosphere

Atmosphere

2023

• Khatri, P., Yoshida, K., & Hayasaka, T. (2023). Aerosol effects on water cloud properties in different atmospheric regimes. Journal of Geophysical Research: Atmospheres, 128, e2023JD039729.
  DOI: 10.1029/2023JD039729
• Khatri, P.; Hayasaka, T. Comparison of Cloud Properties between SGLI Aboard GCOM-C Satellite and MODIS Aboard Terra Satellite. Remote Sens. 2023, 15, 1075.
  DOI: 10.3390/rs15041075
• Kobayashi, H., H. Irie, M. Momoi, T. Ohno, H. Yamamoto, P. Khatri, I. Sano, H. Okumura, and H. Kobayashi, Development and classification of Japanese-region-specific aerosol models based on 10-year sky radiometer observations, SOLA, 19, 210-216, https://doi.org/10.2151/sola.2023-027, 2023.
  DOI: 10.2151/sola.2023-027
• S. Mukai, S. Hioki and M. Nakata, “Biomass burning plume from simultaneous observations of polarization and radiance at different viewing directions”, Remote Sens., 2023, 15, 5405
  DOI: 10.3390/rs15225405
• S. Mukai, M. Nakata, I. Sano, S. Hioki and T. Fujito, “Significance of Simultaneous Observations of Polarization and Radiance with SGLI”, 2023, Proc. SPIE 12730, Remote Sensing of Clouds and the Atmosphere XXVIII, 127300P
  DOI: 10.1117/12.2679091
• M. Nakata, S. Hioki and S. Mukai, “Verification of reproducibility of biomass burning aerosol distribution by regional modeling”, 2023, Availability of polarization information for the hazy aerosol analysis”, Proc. SPIE 12730, Remote Sensing of Clouds and the Atmosphere XXVIII, 127300P
  DOI: 10.1117/12.2679086
• S. Mukai, M. Nakata and S. Hioki, “Monitoring of atmospheric particles from space and model simulations”, 2023, Proc. ASCC(Asian Symposium on Contamination Control)
• M. Nakata, I. Sano, S. Mukai, B. Holben and AERONET-G, “Factor analysis of cases of elevated aerosol concentrations in mountainous areas of Japan”, 2023, Proc. ASCC(Asian Symposium on Contamination Control)
• Yu Matsumoto, Minrui Wang, Yousuke Sato, Takashi Y. Nakajima, "Regional Dependency of the Cloud Droplet Growth Process in Combined Analysis of Aqua MODIS and CloudSat CPR", Scientific Online Letters on the Atmosphere, 19, 63-69.,
  DOI: 10.2151/sola.2023-009
• Ishii, K., Hayashi, M., Ishimoto, H. et al. Prediction of volcanic ash concentrations in ash clouds from explosive eruptions based on an atmospheric transport model and the Japanese meteorological satellite Himawari-8: a case study for the Kirishima-Shinmoedake eruption on April 4th 2018. Earth Planets Space 75, 37 (2023).
  DOI: 10.1186/s40623-023-01790-y
• Tanada, K., Murakami, H., Hayasaka, T., & Yoshida, M. (2023). Aerosol optical properties of extreme global wildfires and estimated radiative forcing with GCOM-C SGLI. Journal of Geophysical Research: Atmospheres, 128, e2022JD037914.
  DOI: 10.1029/2022JD037914

2022

• Ohno T., H. Irie, M. Momoi, and A. M. da Silva, Quantitative evaluation of mixed biomass burning and anthropogenic aerosols over the Indochina peninsula using MERRA-2 reanalysis products validated by sky radiometer and MAX-DOAS observations, Progress in Earth and Planetary, 9, 61, 2022.
  DOI: 10.1186/s40645-022-00520-4
• Ishimoto, H., Hayashi, M., and Mano, Y.: Ash particle refractive index model for simulating the brightness temperature spectrum of volcanic ash clouds from satellite infrared sounder measurements, Atmos. Meas. Tech., 15, 435–458, 2022.
  DOI: 10.5194/amt-15-435-2022
• Nagao, T. M., & Suzuki, K. (2022). Characterizing vertical stratification of the cloud thermodynamic phase with a combined use of CALIPSO lidar and MODIS SWIR measurements. Journal of Geophysical Research: Atmospheres, 127, e2022JD036826.
  DOI: 10.1029/2022JD036826
• Nakata, M., Sano, I., Mukai, S., & Kokhanovsky, A. (2022). Characterization of wildfire smoke over complex terrain using satellite observations, ground-based observations, and meteorological models. Remote Sensing, 14(10), 2344.
  DOI: 10.3390/rs14102344
• Nakata, M., Sano, I., Mukai, S., & Hioki, S. (2022). A study on the impact of mountainous terrain on transboundary and local pollution. Remote Sensing of Clouds and the Atmosphere XXVII.
  DOI: 10.1117/12.2636089
• Mukai, S., Sano, I., Nakata, M., & Hioki, S. (2022). Availability of polarization information for the hazy aerosol analysis. Remote Sensing of Clouds and the Atmosphere XXVII.
  DOI: 10.1117/12.2636091
• Nakata, M., Mukai, S., & Fujito, T. (2022). Direct detection of severe biomass burning aerosols from satellite data. Atmosphere, 13(11), 1913.
  DOI: 10.3390/atmos13111913
• Khatri, P., Hayasaka, T., Irie, H., Letu, H., Nakajima, T. Y., Ishimoto, H., & Takamura, T. (2022). Quality assessment of second-generation global Imager (sgli)-observed cloud properties using SKYNET surface observation data. Atmospheric Measurement Techniques, 15(6), 1967-1982.
  DOI: 10.5194/amt-15-1967-2022
• Cheng, Y., Dai, T., Cao, J., Chen, L., Goto, D., Yoshida, M., et al. (2022). Improvement of the aerosol forecast and analysis over East Asia with joint assimilation of two geostationary satellite observations. Geophysical Research Letters, 49, e2022GL099908.
  DOI: 10.1029/2022GL099908

2021

• Nagao, T. M., & Suzuki, K. (2021). Temperature-independent cloud phase retrieval from shortwave-infrared measurement of GCOM-C/SGLI with comparison to CALIPSO. Earth and Space Science, 8, e2021EA001912.
  DOI: 10.1029/2021EA001912
• Mukai, S., Sano, I., & Nakata, M. (2021). Improved algorithms for remote sensing-based aerosol retrieval during extreme biomass burning events. Atmosphere, 12(3), 403.
  DOI: 10.3390/atmos12030403
• Nakata, M., Moriyama, T., Sano, I., & Mukai, S. (2021). Analysis of factors affecting PM_2.5 concentration in the mountainous areas of Japan through ground observations and simulations. 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS.
  DOI: 10.1109/igarss47720.2021.9554254
• Mukai, S., Sanob, I., & Nakata, M. (2021). Algorithms for aerosol retrieval from heavy biomass burning with mutual use of radiance and polarization observations by SGLI. 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS.
  DOI: 10.1109/igarss47720.2021.9554587
• Nakata, M., Sano, I., & Mukai, S. (2021). Characteristics of aerosol distribution in mountainous regions obtained from AERONET/Dragon/J-Alps. Remote Sensing of Clouds and the Atmosphere XXVI.
  DOI: 10.1117/12.2597987"
• Cheng, Y.; Dai, T.; Goto, D.; Murakami, H.; Yoshida, M.; Shi, G.; Nakajima, T. Enhanced Simulation of an Asian Dust Storm by Assimilating GCOM-C Observations. Remote Sens. 2021, 13, 3020.
  DOI: 10.3390/rs13153020
• Hioki, S., Riedi, J., and Djellali, M. S.: A study of polarimetric error induced by satellite motion: application to the 3MI and similar sensors, Atmos. Meas. Tech., 14, 1801–1816, 2021.
  DOI: 10.5194/amt-14-1801-2021

2020

• Mukai, S., Nakata, M., Fujito, T., & Sano, I. (2020). Efficient detection of aerosols above clouds utilizing GCOM-C/SGLI data. International Journal of Environmental Monitoring and Analysis, 8(5), 170.
  DOI: 10.11648/j.ijema.20200805.16
• Mukai, S., Sano, I., & Nakata, M. (2020). Effective characterization of aerosols in the severe events using multi-channel measurements including polarization with GCOM-C/SGLI. Remote Sensing of Clouds and the Atmosphere XXV.
  DOI: 10.1117/12.2572560
• Mukai, S., Fujito, T., Nakata, M., & Sano, I. (2020). Detection of aerosols above clouds BASED on GCOM-C/SGLI measurements. IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium.
  DOI: 10.1109/igarss39084.2020.9324664
• Nagao, T. M., & Suzuki, K.. (2020). Identifying particle growth processes in marine low clouds using spatial variances of imager-derived cloud parameters. Geophysical Research Letters, 47, e2020GL087121.
  DOI: 10.1029/2020GL087121
• C. Shi, M. Hashimoto, K. Shiomi and T. Nakajima, "Development of an Algorithm to Retrieve Aerosol Optical Properties Over Water Using an Artificial Neural Network Radiative Transfer Scheme: First Result From GOSAT-2/CAI-2," in IEEE Transactions on Geoscience and Remote Sensing,
  DOI: 10.1109/TGRS.2020.3038892.
• Hoque, H.M.S.; Irie, H.; Damiani, A.; Momoi, M. Primary Evaluation of the GCOM-C Aerosol Products at 380 nm Using Ground-Based Sky Radiometer Observations. Remote Sens. 2020, 12, 2661.
  DOI: 10.3390/rs12162661

2019

• Dubovik, O. et al. Polarimetric remote sensing of atmospheric aerosols: Instruments, methodologies, results, and perspectives. J. Quant. Spectrosc. Radiat. Transf. 224, 474–511 (2019)
  DOI: https://doi.org/10.1016/j.jqsrt.2018.11.024
• Mukai, S., Sano, I., & Nakata, M. (2019). Algorithms for the classification and characterization of aerosols: Utility verification of near-UV satellite observations. Journal of Applied Remote Sensing, 13(01), 1.
  DOI: 10.1117/1.jrs.13.014527
• Mukai, S., Sano, I., & Nakata, M. (2019). Efficient algorithms for aerosol retrieval from GCOM-C/SGLI. IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium.
  DOI: 10.1109/igarss.2019.8898318
• Mukai, S., Sano, I., & Nakata, M. (2019). Inheritance of aerosol retrieval by GCOM-C/Sgli from adeos-2/Gli. Remote Sensing of Clouds and the Atmosphere XXIV.
  DOI: 10.1117/12.2532504
• Irie, H., Hoque, H.M.S., Damiani, A., Okamoto, H., Fatmi, A.M., Khatri, P., Takamura, T., Jarupongsakul, T. (2019) Simultaneous observations by sky radiometer and MAX-DOAS for characterization of biomass burning plumes in central Thailand in January-April 2016, Atmos. Meas. Tech., 12, 599-606.
  DOI: 10.5194/amt-12-599-2019
• Ishimoto, H., Kudo, R., Adachi, K. (2019) A shape model of internally mixed soot particles derived from artificial surface tension. Atmospheric Measurement Techniques, 12, 107-118.
• Khatri, P., H. Iwabuchi, T. Hayasaka, H. Irie, T. Takamura, A. Yamazakai, A. Damiani, H. Letu, and Q. Kai (2019), Retrieval of cloud properties from sky radiometer observed spectral zenith radiances, Atmos. Meas. Tech., 12, 6037-6047.
  DOI: 10.5194/amt-12-6037-2019
• Nakajima, T.Y., Ishida, H., Nagao, T.M., Hori, M., Letu, H., Higuchi, R., Tamaru, N., Imoto、N., Yamazaki、A. (2019): Theoretical basis of the algorithms and early phase results of the GCOM-C (Shikisai) SGLI cloud products, Progress in Earth and Planetary Science 6.
  DOI: 10.1186/s40645-019-0295-9
• Sato, K., Okamoto, H., Ishimoto, H. (2019) Modeling the depolarization of space-borne lidar signals. Optics Express, 27, A117-A132.

2018

• Cloud fractions estimated from shipboard whole-sky camera and ceilometer observations between East Asia and Antarctica, 2018: M. Kuji, A. Murasaki, M. Hori, and M. Shiobara, J. Meteor. Soc. Japan, 96, 201−214,
  DOI: 10.2151/jmsj.2018-025
• Mukai, S., Sano, I., & Nakata, M. (2018). Discrimination and retrieval of aerosol types using multi-channels including near-UV and polarization by GCOM-C/SGLI. Remote Sensing of the Atmosphere, Clouds, and Precipitation VII.
  DOI: 10.1117/12.2324300
• Mukai, S. (2018). Remote sensing of heavy aerosol pollution episodes: Smoke and dust. Remote Sensing of Aerosols, Clouds, and Precipitation, 85-108.
  DOI: 10.1016/b978-0-12-810437-8.00004-9
• Holben, B. N., Kim, J., Sano, I., Mukai, S., Eck, T. F., Giles, D. M., Schafer, J. S., Sinyuk, A., Slutsker, I., Smirnov, A., Sorokin, M., Anderson, B. E., Che, H., Choi, M., Crawford, J. H., Ferrare, R. A., Garay, M. J., Jeong, U., Kim, M., … Xiao, Q. (2018). An overview of mesoscale aerosol processes, comparisons, and validation studies from DRAGON networks. Atmospheric Chemistry and Physics, 18(2), 655-671.
  DOI: 10.5194/acp-18-655-2018
• Nakata, M., Mukai, S., & Yasumoto, M. (2018). Seasonal and regional characteristics of aerosol pollution in east and Southeast Asia. Frontiers in Environmental Science, 6.
  DOI: 10.3389/fenvs.2018.00029
• Baran, A. J., Ishimoto, H., Sourdeval, O., Hesse, E., Harlo, C. (2018): The applicability of physical optics in the millimetre and sub-millimetre spectral region. Part II: Application to a three-component model of ice cloud and its evaluation against the bulk single-scattering properties of various other aggregate models., Journal of Quantitative Spectroscopy & Radiative Transfer, 206, 83-100.
  DOI: 10.1016/j.jqsrt.2017.10.027
• Damiani, A., Irie, H., Horio, T., Takamura, T., Khatri, P., Takenaka, H., Nagao, T., Nakajima, T.Y., Cordero, R.R. (2018) Evaluation of Himawari-8 surface downwelling solar radiation by SKYNET observations, Atmospheric Measurement Techniques, 11, 2501-2521.
  DOI: 10.5194/amt-11-2501-2018
• Hara, Y., Nishizawa, T., Sugimoto, N., Osada, K., Yumimoto, K., Uno, I., Kudo, R., Ishimoto, H. (2018) Retrieval of Aerosol Components Using Multi-Wavelength Mie-Raman Lidar and Comparison with Ground Aerosol Sampling. Remote Sensing, 10, 937.
  DOI: 10.3390/rs10060937
• Hayashi, M, (2018): Introduction to the Computation Method for Cloud Radiative Processes and Its Application for the Advanced Himawari Imager onboard Himawari-8, Meteorological Satellite Center Technical Note, No.63, 1-38, PDF
• Holben, B. N., Kim, J., Sano, I., Mukai, S., et al. (2018) : An overview of meso-scale aerosol processes, comparison and validation studies from DRAGON networks, Atmos. Chem. Phys., 18, 655–671.
  DOI: 10.5194/acp-18-655-2018
• Hoque, H.M.S., Irie, H., Damiani, A. (2018) First MAX-DOAS observations of formaldehyde and glyoxal in Phimai, Thailand, Journal of Geophysical Research, 123, 17.
  DOI: 10.1029/2018JD028480
• Hoque, H.M.S., Irie, H., Damiani, A., Rawat, P., Naja, M. (2018) First simultaneous observations of formaldehyde and glyoxal by MAX-DOAS in the Indo-Gangetic Plain region, Scientific Online Letters on the Atmosphere, 14, 159-164.
  DOI:10.2151/sola.2018-028
• Ishida, H., Oishi, Y., Morita, K., Moriwaki, K., Nakajima T. Y. (2018): Development of a support vector machine based cloud detection method for MODIS with the adjustability to various conditions. Remote Sensing of Environment, Remote Sensing of Environment 205, 390-407.
  DOI: 10.1016/j.rse.2017.11.003
• Ishimoto, H., Adachi, S., Yamaguchi, S., Tanikawa, T., Aoki, T., Masuda, K. (2018): Snow particles extracted from x-ray computed microtomography imagery and their single-scattering properties. Journal of Quantitative Spectroscopy & Radiative Transfer, 209, 113-128.
  DOI: 10.1016/j.jqsrt.2018.01.021
• Iwabuchi, H., Putri, N. S., Saito, M., Tokoro, Y., Sekiguchi, M., Yang, P., Baum, B. A. (2018): Cloud property retrieval from multiband infrared measurements by Himawari-8. J. Meteor. Soc. Japan, 96B.
  DOI: 10.2151/jmsj.2018-001
• Khatri, P., T. Hayasaka, H. Iwabuchi, T. Takamura, H. Irie, T. Y. Nakajima (2018), Validation of MODIS and AHI observed water cloud properties using surface radiation data, J. Meteor. Soc. Japan, 96B, 151-172.
  DOI: 10.2151/jmsj.2018-036
• Kawase, H., Yamazaki, A., Iida, H., Aoki, K., Shimada, W., Sasaki, H., Murata, A., Nosaka, M. (2018): Simulation of extremely small amounts of snowobserved at high elevations over the Japanese NorthernAlps in the 2015/16 winter, SOLA, accepted.
  DOI: 10.2151/sola.2018-007
• Khatri, P., Hayasaka, T., Iwabuchi, H., Takamura, T., Irie, H., Nakajima, T.Y., Takenaka, H. (2018) Validation of MODIS and AHI observed water cloud properties using surface radiation data, Journal of the Meteorological Society of Japan, 96B, 151-172.
  DOI: 10.2151/jmsj.2018-036
• Koshiro, T., Shiotani M., Kawai H., Yukimoto S. (2018): Evaluation of relationships between subtropical marine low stratiform cloudiness and estimated inversion strength in CMIP5 models using the satellite simulator package COSP. SOLA.
  DOI: 10.2151/sola.2018-005
• Kuji, M., Murasaki, A., Hori, M., Shiobara, M. (2018): Cloud fractions estimated from shipboard whole-sky camera and ceilometer observations between East Asia and Antarctica, J. Meteor. Soc. Japan, 96, in press.
  DOI: 10.2151/jmsj.2018-025
• Letu, H., Nagao, T. M., Nakajima, T. Y., Riedi, J., Ishimoto, H., Baran, A. J., Shang, H., Sekiguchi, M., Kikuchi, M. (2018): Ice cloud properties from Himawari-8/AHI next-generation geostationary satellite: Capability of the AHI to monitor the DC cloud generation process. IEEE Transactions on Geoscience and Remote Sensing, accepted.
  DOI: 10.1109/TGRS.2018.2882803
• Maki, T., Furumoto, S., Asahi, Y., Lee, K. C., Watanabe, K., Aoki, K., Murakami, M., Tajir, T., Hasegawa, H., Mashio, A., Iwasaka, Y. (2018): Long-range transported bioaerosols captured in snow cover on Mount Tateyama, Japan: Impacts of Asian-dust events on airborne bacterial dynamics relating to ice-nucleation activities, Atmos. Chem. Phys. Discuss..
  DOI: 10.5194/acp-18-8155-2018, accepted.
• Mok, J., Krotkov, N., Torres, O., Jethva, H., Li, Z., Kim, J., Koo, J.-H., Go, S., Irie, H., Labow, G., Eck, T., Holben, B., Herman, J., Loughman, R., Spinei, E., Lee, S.S., Khatri, P., Campanelli, M. (2018) Comparisons of spectral aerosol absorption in Seoul, South Korea, Atmospheric Measurement Techniques, 11, 2295-2311.
  DOI: 10.5194/amt-11-2295-2018
• Sato, K., Okamoto, H., Ishimoto, H. (2018) Physical model for multiple scattered space-borne lidar returns from clouds. Optics Express, 26, a301-a309. doi: 10.1364/OE.26.00A301
• Sekiguchi, M., Iwabuchi, H., Nagao, T. M., Nakajima, T. (2018): Development of gas absorption tables and an atmospheric radiative transfer package for applications using the Advanced Himawari Imager. J. Meteor. Soc. Japan, 96B.
  DOI: 10.2151/jmsj.2018-007
• Tsuruta, H., Oura, Y., Ebihara, M., Moriguch, Y., Ohara, T., Nakajima, T. (2018): Time-series analysis of atmospheric radiocesium at two SPM monitoring sites near the Fukushima Daiichi Nuclear Power Plant just after the Fukushima accident on March 11, 2011. Geochem. J. 52, 2018.
  DOI: 10.2343/geochemj.2.0520

2017

• Hashimoto, M., Nakajima T. (2017): Development of a remote sensing algorithm to retrieve atmospheric aerosol properties using multi‐wavelength and multipixel information, J. Geophys. Res., Atmospheres, 122(12), 6347–6378.
  DOI: 10.1002/2016JD025698
• Jing, X., Suzuki K., Guo H., Goto D., Ogura T., Koshiro T., J. Mulmenstadt (2017): A multimodel study on warm precipitation biases in global models compared to satellite observations, J. Geophys. Res. Atmos., 122, 11806-11824.
  DOI: 10.1002/2017JD027310
• Konoshonkin, A., A. Borovoi, N. Kustova, Okamoto, H., Ishimoto H., Y. Grynko, J. Forstner (2017): Light scattering by ice crystals of cirrus clouds: From exact numerical methods to physical-optics approximation, Journal of Quantitative Spectroscopy & Radiative Transfer, 195, 132-140.
  DOI: 10.1016/j.jqsrt.2016.12.024
• Kudo, R., Nishizawa, T., Aoyagi, T., Fujiyoshi, Y., Higuchi, Y., Hayashi, M., Shimizu, A., Aoki, K., (2017):[CDATA[ ]]Remote sensing of aerosol optical properties and solar heating rate by the combination of sky radiometer and lidar measurements,AIP Conference Proceedings 1810, 060002 (2017).
  DOI: 10.1063/1.4975518
• Lyu, H., T. Dai, Y. Zheng, G. Shi, and T. Nakajima, 2017: Estimation of the PM2.5 concentrations over Beijing from MODIS AODs using Artificial Neural Network. SOLA, 14, 14-18.
  DOI: 10.2151/sola.2018-003
• Mukai S. (2017) “Chap.4 Remote Sensing of Heavy Aerosol Pollution Episodes” in ”Remote Sensing of Aerosols, clouds and precipitation”, Elsevier Publ.
• Mukai S., Fujito T., Nakata M. and Sano I. (2017) Role of near ultraviolet wavelength measurements in the detection and retrieval of absorbing aerosols from space, Proc. of SPIE 10424, Remote Sensing of Clouds and the Atmosphere XXII, 104240X.
  DOI: 10.1117/12.2277826
• Mukai S., Nakata M., Sano I., Yasumoto M. and Fujito T. (2017) Regional and seasonal effects of biomass burning aerosols, Proc. of IEEE/IGARSS, 978-1-5090-4951-6/17, pp.5958-5961.
• Mukai S., Sano I. and Nakata M. (2017) An outline of the method of successive order of scattering (MSOS), NAIS journal, vol.11, 45-50. PDF
• Mukai S., Sano I., Nakata M. and Fujito T., Detection and characterization of absorbing aerosols based on multi-spectral radiance and polarization measurements with satellite, Frontier Environment Informatics (in press).
• Nakajima, T., S. Misawa, Y. Morino, H. Tsuruta, D. Goto, J. Uchida, T. Takemura, T. Ohara, Y. Oura, M. Ebihara and M. Satoh, 2017: Model depiction of the atmospheric flows of radioactive cesium emitted from the Fukushima Daiichi Nuclear Power Station accident. Progress in Earth and Planetary Science, 4(1), 1-18.
  DOI: 10.1186/s40645-017-0117-x
• Nakata, M., Mukai, S. (2017): Chap.4 An Investigation into Dust Storms Using Satellite Measurements and Model Simulations in Advances in Environmental Research Vol. 60, nova science publishers, ISBN: 978-1-53612-789-8
• Nakata, M., Sano, I., Mukai, S. (2017): Response of the climate system to anthropogenic aerosols, Proc. of IEEE/IGARSS, 978-1-5090-4951-6/17, 5946-5949.
  DOI: 10.1109/IGARSS.2017.8128363
• Nakata, M., Yoshida, A., Sano, I., Mukai, S. (2017) Evaluation of ground-based particulate matter in association with measurements from space, Proc. of SPIE 10424, Remote Sensing of Clouds and the Atmosphere XXII, 104240W.
  DOI: 10.1117/12.2277825
• Noh Y., Müller D., Lee K., Kim K., Lee K., Shimizu A., Kim S.-W., Sano I., and Park C. B. (2017) Depolarization ratios retrieved by AERONET sun–sky radiometer data and comparison to depolarization ratios measured with lidar, Atmos. Chem. Phys., 17, 6271–6290.
  DOI: 10.5194/acp-17-6271-2017
• Okata, M., T. Nakajima, K. Suzuki, T. Inoue, T. Y. Nakajima, and H. Okamoto, 2017: A study on radiative transfer effects in 3D cloudy atmosphere using satellite data. J. Geophys. Res., 122, 443-468.
  DOI: 10.1002/2016JD025441
• Okata, M., T. Nakajima, T. Inoue, T.Y. Nakajima, H. Okamoto, K. Suzuki, 2017: A study of the earth radiation budget in 3-D broken cloudy atmospheres by using satellite data. J. Geophys. Res., Atmospheres, 122(1), 443-468.
• Sano I., Mukai S. and Nakata M. (2017) An effective method for retrieval of three kinds of aerosol properties focusing on a coming GCOM-C1 / SGLI in December of 2017, Proc. of SPIE 10424, Remote Sensing of Clouds and the Atmosphere XXII, 1042403.
  DOI:10.1117/12.2278159
• Sekiguchi, M., H. Iwabuchi, T. M. Nagao, and T. Nakajima, 2018: Development of gas absorption tables and an atmospheric radiative transfer package for applications using the Advanced Himawari Imager. J. Meteor. Soc. Japan, 96B.
  DOI: 10.2151/jmsj.2018-007
• Shi, C., and T. Nakajima, 2017: Estimation of chlorophyll concentration in waters near Hokkaido using the linear combination method. Opt. Express, 25(20), A963-A979.
  DOI: 10.1364/OE.25.00A963
• Shi, C., and T. Nakajima, 2017: Simultaneous determination of aerosol optical thickness and water leaving radiance from multispectral measurements in coastal waters. Atmos. Chem. Phys. Discuss..
  DOI: 10.5194/acp-2017-901
• Takahashi, H., K. Suzuki, and G. Stephens, 2017: Land-ocean differences in the warm rain formation process in satellite observations, ground-based observations, and model simulations. Q. J. Roy. Meteorol. Soc., 143, 1804-1815.
  DOI: 10.1002/qj.3042
• Takahashi, H., M. Lebsock, K. Suzuki, G. Stephens, and M. Wang, 2017: An investigation of microphysics and sub-grid scale variability in warm rain clouds using the A-Train observations and a multi-scale modeling framework. J. Geophys. Res. Atmos., 122.
  DOI:10.1002/2016JD026404
• Trieu T. T. N., D. Goto, H. Yashiro, R. Murata, K. Sudo, H. Tomita, M. Satoh, T. Nakajima, 2017: Evaluation of summertime surface ozone in Kanto area of Japan using a semi-regional model and observation. Atmos. Environ., 153, 163-181.
  DOI: 10.1016/j.atmosenv.2017.03.030
• Turner, J. and T. Nakajima, 2017: Report on IAMAS activity since 2015 and the IAPSO-IAMAS-IAGA Scientific Assembly - Good Hope for Earth Sciences. Adv. Atmos. Sci., 35(4), 371-375.
  DOI: 10.1007/s00376-017-7240-x

2016

• Ishimoto, H., K. Masuda, K. Fukui, T. Shimbori, T. Inazawa, H. Tuchiyama, K. Ishii and T. Sakurai, (2016): Estimation of the refractive index of volcanic ash from satellite infrared sounder data. Remote Sensing of Environment, 174, pp.165-180.
  DOI: 10.1016/j.rse.2015.12.009
• Letu, H., Ishimoto, H., Riedi, J., Nakajima, T. Y., Labonnote, L. C., Baran, A. J., Nagao, T. M., Sekiguchi, M. (2016): Investigation of ice particle habits to be used for ice cloud remote sensing for the GCOM-C satellite mission. Atmos. Chem. Phys, 16(18), 12287-12303.
  DOI: 10.5194/acp-16-12287-2016
• Yin, X., T. Dai, N. A.J. Schutgens, D. Goto, T. Nakajima, Guangyu Shi: Effects of data assimilation on the global aerosol key optical properties simulations. Atmospheric Research, Volumes 178-179, 1, pp.175-186.
  DOI: 10.1016/j.atmosres.2016.03.016

2015

• Adachi, K. and P. R.Buseck, (2015): Changes in shape and composition of sea-salt particles upon aging in an urban atmosphere. Atmospheric Environment, 100, pp.1-9.
  DOI: 10.1016/j.atmosenv.2014.10.036
• Goto, D., T. Nakajima, T. Dai, T. Takemura, M. Kajino, H. Matsui, A. Takami, S. Hatakeyama, N. Sugimoto, A. Shimizu, and T. Ohara, (2015): An evaluation of simulated particulate sulfate over East Asia through global model inter-comparison. Journal of Geophysical Research: Atmospheres, 120, pp.6247-6270.
  DOI: 10.1002/2014JD021693
• Illingworth, A.J., H.W. Barker, A. Beljaars, M. Cecca ldi, H. Chepfer, N. Clerbaux, J. Cole, J. Delanoe, C. Domenech, D. P. Donovan, S. Fukuda, M. Hirakata, R. J. Hogan, A. Huenerbein, P. Kollias, T. Kubota, T. Nakajima, T.Y. Nakajima, T. Nishizawa, Y. Ohno, H. Okamoto, R. Oki, K. Sato, M. Satoh, and M.W. Shephard, A. Velazquez-Blazquez, U. Wandinger, T. Wehr, and G.-J. van Zadelhoff, (2015): THE EARTHCARE SATELLITE: The Next Step Forward in Global Measurements of Clouds, Aerosols, Precipitation, and Radiation. Bulletin of the American Meteorological Society, 96, pp.1311-1332.
  DOI: 10.1175/BAMS-D-12-00227.1
• Irie, H., T. Nakayama, A. Shimizu, A. Yamazaki, T. Nagai, A. A. Uchiyama, Y. Zaizen, S. Kagamitani, and Y. Matsumi, (2015): Evaluation of MAX-DOAS aerosol retrievals by coincident observations using CRDS, lidar, and sky radiometer in Tsukuba, Japan, Atmospheric Measurement Techniques, 8, pp.2775-2788.
  DOI: 10.5194/amt-8-2775-2015
• Jin, Y., K. Kai, K. Kawai, T. Nagai, T. Sakai, A. Yamazaki, A. Uchiyama, D. Batdorjd, N. Sugimoto, and T. Nishizawa, (2015): Ceilometer calibration for retrieval of aerosol optical properties, Journal of Quantitative Spectroscopy and Radiative Transfer, 153, pp.49-56.
  DOI: 10.1016/j.jqsrt.2014.10.009
• Katagiri, S., Tadahiro Hayasaka, and Kyohei Ymada, An algorithm for a whole-sky camera with low color depth and relationships between cloud fractions derived from the sky camera and MODIS observations. Journal of The Remote Sensing Society of Japan, Vol. 35 (2015) pp.89-103.
  DOI: 10.11440/rssj.35.89
• Kawase. H., C.Suzuki, N,N.Ishizaki, F.Uno, H.Iida, K.Aoki (2015), Simulations of Monthly Variation in Snowfall over Complicated Mountainous Areas around Japan's Northern Alps, SOLA, 11, pp.138-143.
  DOI: 10.2151/sola.2015-032
• Kokhanovsky, A.A., A. B. Davis , B. Cairns, O. Dubovik, O. Hasekamp, I. Sano, S. Mukai, V. Rozanov, P. Litvinov, T. Lapyonok, I. S. Kolomiets, Y. A. Oberemok, S. Savenkov, A. di Noia, F. Xu , M. Duan , D. Diner, R. Munro, (2015): Space-Based Remote Sensing of Atmospheric Aerosols: The Multi-Angle Spectro-Polarimetric Frontier, Earth Science Reviews, 145, pp.85-116.
  DOI: 10.1016/j.earscirev.2015.01.012
• Liu, Y., Y. Sato, R. Jia, Y. Xie, J. Huang, T. Nakajima, (2015): Modeling study on the transport of summer dust and anthropogenic aerosols over the Tibetan Plateau. Atmospheric Chemistry and Physics, 15, pp.12581-12594.
  DOI: 10.5194/acp-15-12581-2015
• Mukai, S., M. Nakata, M. Yasumoto, I. Sano, and A. Kokhanovsky (2015): A study of aerosol pollution episode due to agriculture biomass burning in the east-central China using satellite data, Frontiers in Environmental Science, 28 August 2015.
  DOI: 10.3389/fenvs.2015.00057
• Nakata, M, I. Sano and S. Mukai, (2015): Air Pollutants in Osaka, Frontiers in Environmental Science, 3:18.
  DOI: 10.3389/fenvs.2015.00018
• Ohyama, H., S. Kawakami, T. Tanaka, I. Morino, O. Uchino, M. Inoue, T. Sakai, T. Nagai, A. Yamazaki, A. Uchiyama, T. Fukamachi, M. Sakashita, T. Kawasaki, T. Akaho, K. Arai, and H. Okumura, (2015): Observations of XCO2 and XCH4 with ground-based high-resolution FTS at Saga, Japan and comparisons with GOSAT products, Atmospheric Measurement Techniques, 8, pp.5263-5276, 2015.
  DOI: 10.5194/amt-8-5263-2015
• OISHI, Y., NAGAO, T., ISHIDA, H., NAKAJIMA, T., MATSUNAGA, T., (2015): Preliminary Study of a Method Using the GOSAT-2 CAI-2 Cloud Discrimination for Screening of Cloud-contaminated FTS-2 Data. Journal of The Remote Sensing Society of Japan, 35, 299-306.
  DOI: 10.11440/rssj.35.299
• Shi, C. and T. Nakajima., (2015): The Eddington approximation calculation of radiation flux in the atmosphere-ocean system. Journal of Quantitative Spectroscopy and Radiative Transfer, 157, pp.34-41.
  DOI: 10.1016/j.jqsrt.2015.02.007
• Shi, C., P. C. Wang, T. Nakajima, Y. Ota, S.-C. Tan, and G.-Y. Shi, (2015): Effects of ocean particles on the upwelling radiance and polarized radiance in the atmosphere-ocean system. Advances in Atmospheric Sciences, 32(9), pp.1186-1196.
  DOI: 10.1007/s00376-015-4222-8
• Sugimoto N., A. Shimizu, T. Nishizawa, I. Matsui, Y. Jin, P. Khatri, H. Irie, T. Takamura, K. Aoki, B. Thana (2015), Aerosol characteristics in Phimai, Thailand determined by continuous observation with a polarization sensitive Mie-Raman lidar and a sky radiometer, Environmental Research Letters, 10:065003.
  DOI: 10.1088/1748-9326/10/6/065003

2014

• Adachi, K., Y. Zaizen, M. Kajino and Y. Igarashi, (2014): Mixing state of regionally transported soot particles and the coating effect on their size and shape at a mountain site in Japan. Journal of Geophysical Research: Atmospheres, 119, pp.5386-5396.
  DOI: 10.1002/2013JD020880
• Campanelli, M., T. Nakajima, P. Khatri, T. Takamura, A. Uchiyama, V. Estelles, G.L. Liberti, and V. Malvestuto, (2014): Retrieval of characteristic parameters for water vapour transmittance in the development of ground based Sun-Sky radiometeric measurements of columnar water vapour. Atmospheric Measurement Techniques, 7, pp.1075-1087.
  DOI: 10.5194/amt-7-1075-2014
• Dai, T., D. Goto, N.A.J. Schutgens, X. Dong, G. Shi, and T. Nakajima, (2014): Simulated aerosol key optical properties over global scale using an aerosol transport model coupled with a new type of dynamic core. Atmospheric Environment, 82, pp.71-82.
  DOI: 10.1016/j.atmosenv.2013.10.018
• Dai, T., N.A.J. Schutgens, D. Goto, G.-Y. Shi, and T. Nakajima, (2014b): Improvement of aerosol optical properties modeling over Eastern Asia with MODIS AOD assimilation in a global non-hydrostatic icosahedral aerosol transport model. Environmental Pollution, 195, pp.319-329.
  DOI: 10.1016/j.envpol.2014.06.021
• Fukuda, S., T. Nakajima, H. Takenaka, A. Higurashi, N. Kikuchi, T. Y. Nakajima, and H. Ishida, 2014: New approaches to removing cloud shadows and evaluating the 380-nm surface reflectance for improved aerosol optical thickness retrievals from the GOSAT/TANSO-Cloud and Aerosol Imager. Journal of Geophysical Research: Atmospheres, 118, pp.13520-13531.
  DOI: 10.1002/2013JD020090
• Goto, D., T. Dai, M. Satoh, H. Tomita, J. Uchida, S. Misawa, T. Inoue, H. Tsuruta, K. Ueda, C. F. S. Ng, A. Takami, N. Sugimoto, A. Shimizu, T. Ohara, and T. Nakajima, (2014): Application of a global nonhydrostatic model with a stretched-grid system to regional aerosol simulations around Japan, Geoscientific Model Development, 8, pp.235-259.
  DOI: 10.5194/gmd-8-235-2015
• Ishida, H., K. Miura, T. Matsuda, K. Ogawara, A. Goto, K. Matsuura, Y. Sato, and T. Y. Nakajima, (2014): Scheme for detection of low clouds from geostationary weather satellite imagery. Atmospheric Research, 143, pp.250-264.
  DOI: 10.1016/j.atmosres.2014.02.015
• Ishimoto, H., K. Okamoto, H. Okamoto, and K. Sato, (2014): One-dimensional variational (1D-Var) retrieval of middle to upper tropospheric humidity using AIRS radiance data. Journal of Geophysical Research: Atmospheres, 119, pp.7633-7654.
  DOI: 10.1002/2014JD021706
• Khatri, P., T. Takamura, A. Yamazaki, and A. Uchiyama, (2014): Use of 315nm Channel Data of the Sky Radiometer to Estimate the Columnar Ozone Concentration: A Preliminary Study, Journal of the Meteorological Society of Japan, 92A pp.185-194.
• Letu, H., T. M. Nagao, T. Y. Nakajima, and Y. Matsumae, (2014): Method for validating cloud mask obtained from satellite measurements using ground-based sky camera. Applied Optics, 53, pp.7523-7533.
  DOI: 10.1364/AO.53.007523
• Letu, H., T. Nakajima, and F. Nishio, (2014): Estimation of electric power and power plant CO2 emissions using DMSP/OLS nighttime satellite data. Environmental Science & Technology Letters, 1, pp.259-265.
  DOI: 10.1021/ez500093s
• Mukai, S., M. Yasumoto and M. Nakata, 2014: Estimation of biomass burning influence on air pollution around Beijing from an aerosol retrieval model. The Scientific World Journal, Vol. 2014, Article ID 649648.
  DOI: 10.1155/2014/649648
• Nagao, T. M., T. Y. Nakajima, H. Letu, and H. Okamoto, (2014): Cloud microphysical properties as seen from spaceborne passive multi-spectral imagers: interpretation in terms of vertical and horizontal inhomogeneity by using modeling and other spaceborne instruments. Transactions of the Japan Society for Aeronautical and Space Sciences, Space Technology Japan, 12, Tn_1-Tn_6, 2014.
  DOI: 10.2322/tastj.12.Tn_1
• Nakajima, T. Y., T. M. Nagao, H. Letu, and H. Okamoto, (2014): Synergistic use of spaceborne active sensors and passive multispectral imagers for investigating cloud evolution processes. Transactions of the Japan Society for Aeronautical and Space Sciences, Aerospace Technology Japan, 12, Tn_19-Tn_24, 2014.
  DOI: 10.2322/tastj.12.Tn_19
• Osada, K., S. Ura, M. Kagawa, M. Mikami, T. Y. Tanaka, S. Matoba, K. Aoki, M. Shinoda, Y. Kurosaki, M. Hayashi, A. Shimizu, and M. Uematsu (2014): Wet and dry deposition of mineral dust particles in Japan: factors related to temporal variation and spatial distribution, Atmospheric Chemistry and Physics, 14, pp.1107-1121.
  DOI: 10.5194/acp-14-1107-2014
• Seiki, T., M. Satoh, H. Tomita, and T. Nakajima, (2014): Simultaneous evaluation of ice cloud microphysics and nonsphericity of the cloud optical properties using hydrometeor video sonde and radiometer sonde in situ observations. Journal of Geophysical Research: Atmospheres, 119, pp.6681-6701.
  DOI: 10.1002/2013JD021086
• Uchiyama, A., A. Yamazaki, R. Kudo, E. Kobayash, H. Togawa, and D. Uesawa, (2014): Continuous Ground-Based Observation of Aerosol Optical Properties at Tsukuba, Japan (Trend and Climatology), Journal of the Meteorological Society of Japan, 92A, pp.93-108.
  DOI: 10.2151/jmsj.2014-A06
• Yasunari., T., K. M. Lau, S. P. Mahanama, P. R. Colarco, A. M. Silva, T. Aoki, K. Aoki, N. Murao, S. Yamagata, and Y. Kodama, (2014): The GOddard SnoW Impurity Module (GOSWIM) for the NASA GEOS-5 Earth System Model: Preliminary comparisons with observation in Sapporo, Japan, SOLA, 10, pp.57-61.
  DOI: 10.2151/sola.2014-011

2013

• Adachi, K., P. R. Buseck, (2013): Changes of ns-soot mixing states and shapes in an urban area during CalNex, Journal of Geophysical Research: Atmospheres, 118, pp.3723-3730, DOI:10.1002/jgrd.50321
• Campbell, J. R., J. S. Reid, D. L. Westphal, J. Zhang, J. L. Tackett, B. N. Chew, E. J. Welton, A. Shimizu, N. Sugimoto, K. Aoki and D. M. Winker (2013): Characterizing the vertical profile of aerosol particle extinction and linear depolarization over Southeast Asia and the Maritime Continent: The 2007-2009 view from CALIOP, Atmospheric Research, 122, pp.520-543.
  DOI: 10.1016/j.atmosres.2012.05.007
• Choi, I.-J., T. Iguchi, S.-W. Kim, T. Nakajima, and S.-C. Yoon, (2013): The Effect of Aerosol Representation on Cloud Microphysical Properties in Northeast Asia. Meteorology and Atmospheric Physics, 123, pp.181-194.
  DOI: 10.1007/s00703-013-0288-y
• Dim, J., T. Nakajima, and T. Takamura, (2013): Performance of the GCOM-C/SGLI satellite prelaunch phase cloud properties' algorithm. Journal of Applied Remote Sensing, 0001;7(1), 073693-073693.
  DOI: 10.1117/1.JRS.7.073693
• Dim, J., T. Takamura, A. Higurashi, P. Kathri, N. Kikuchi, and T. Y. Nakajima, (2013): Validation of two MODIS Aerosols algorithms with SKYNET and Prospects for Future Satellites such as the GCOM-C/SGLI. Advances in Meteorology, 2013.
  DOI: 10.1155/2013/508064
• Nagao, T. M., K. Suzuki, and T. Y. Nakajima, (2013): Interpretation of multiwavelength-retrieved droplet effective radii for warm water clouds in terms of in-cloud vertical inhomogeneity by using spectral bin microphysics cloud model. Journal of the Atmospheric Sciences, 70, pp.2376-2392.
  DOI: 10.1175/JAS-D-12-0225.1
• Nakajima, T., H. Takenaka, D. Goto, S. Misawa, J. Uchida, and T.Y. Nakajima, (2013): Measurements and modeling of the solar radiation budget. Simulation, 32, pp.199-207.
• Oikawa, E., T. Nakajima, T. Inoue, and D. Winker, (2013): A study of the shortwave direct aerosol forcing using ESSP/CALIPSO observation and GCM simulation. Journal of Geophysical Research: Atmospheres, 118, pp.3687-3708, 2012.
  DOI: 10.1002/jgrd.50227
• Schutgens, N. A. J., M. Nakata, and T. Nakajima, (2013): Validation and empirical correction of MODIS AOT and AE over ocean. Atmospheric Measurement Techniques, 6, pp.2455-2475.
  DOI: 10.5194/amt-6-2455-2013
• Seiki, T. and T. Nakajima, (2013): Aerosol Effects of the Condensation Process on a Convective Cloud Simulation. Journal of the Atmospheric Sciences, 71, pp.833-853.
  DOI: 10.1175/JAS-D-12-0195.1
• Yoshida, M., J.M. Haywood, B.T. Johnson, H. Murakami, and T. Nakajima, (2013): Spatial distribution of dust's optical properties over the Sahara and Asia inferred from Moderate Resolution Imaging Spectroradiometer. Atmospheric Chemistry and Physics, 13, pp.10827-10845.
  DOI: 10.5194/acp-13-10827-2013
• Zhang, H., Y. Qing, T. Nakajima, M.M. Nakata, L. Peng and HE. Jihnai, 2013: Influence of changes in solar radiation on changes of surface temperature in China. Acta Meteorologica Sinica, 27, pp.87-97.
  DOI: 10.1007/s13351-013-0109-8

2012

• Letu, H., Nakajima, T. Y., Matsui, T. N. (2012): Development of an ice crystal scattering database for the global change observation mission/second generation global imager satellite mission: Investigating the refractive index grid system and potential retrieval error. Appl. Opt., 51, 6172-6178.
  DOI: 10.1364/AO.51.006172