永尾　隆　／　NAGAO Takashi

事項 詳細
所属・職名 気象観測研究部・第二研究室・研究官
連絡先 hinagaotakashin
個人ページ
専門分野 雲のリモートセンシング、大気放射学
学位 博士（工学）
受賞歴、委員等
発表論文
  • Nagao, T. M., Suzuki, K., & Kuji, M. (2025). Retrieving cloud base height and geometric thickness using the oxygen A-band channel of GCOM-C/SGLI. Atmospheric Measurement Techniques, 18(3), 773–792. https://doi.org/10.5194/amt-18-773-2025
  • Suzuki, K., Nagao, T. M., & Murai, A. (2024). Satellite-Based Diagnostics of Precipitation Process in Mixed-Phase Clouds: Extension From Warm Rain Process Statistics. Geophysical Research Letters, 51(23). https://doi.org/10.1029/2024gl110573
  • Yamauchi, A., Suzuki, K., Oikawa, E., Sekiguchi, M., Nagao, T. M., & Ishida, H. (2024). Description and validation of the Japanese algorithm for radiative flux and heating rate products with all four EarthCARE instruments: pre-launch test with A-Train. Atmospheric Measurement Techniques, 17(22), 6751–6767. https://doi.org/10.5194/amt-17-6751-2024
  • Seiki, T., & Nagao, T. M. (2024). Evaluation of the Aggregation Efficiency Modeling at Colder Atmospheric Temperatures in Comparison to Satellite Observations. Journal of the Atmospheric Sciences, 81(10), 1689–1710. https://doi.org/10.1175/jas-d-23-0208.1
  • 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(21). https://doi.org/10.1029/2022jd036826
  • 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(11). https://doi.org/10.1029/2021ea001912
  • Yoshida, M., Yumimoto, K., Nagao, T. M., Tanaka, T. Y., Kikuchi, M., & Murakami, H. (2021). Satellite retrieval of aerosol combined with assimilated forecast. Atmospheric Chemistry and Physics, 21(3), 1797–1813. https://doi.org/10.5194/acp-21-1797-2021
  • Goto, D., Sato, Y., Yashiro, H., Suzuki, K., Oikawa, E., Kudo, R., Nagao, T. M., & Nakajima, T. (2020). Global aerosol simulations using NICAM.16 on a 14 km grid spacing for a climate study: improved and remaining issues relative to a lower-resolution model. Geoscientific Model Development, 13(8), 3731–3768. https://doi.org/10.5194/gmd-13-3731-2020
  • 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(6), 4763–11. https://doi.org/10.1029/2020gl087121
  • Letu, H., Nagao, T. M., Nakajima, T. Y., Riedi, J., Ishimoto, H., Baran, A. J., Shang, H., Sekiguchi, M., & Kikuchi, M. (2019). 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, 57(6), 3229–3239. https://doi.org/10.1109/tgrs.2018.2882803
  • 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(1), 1–25. https://doi.org/10.1186/s40645-019-0295-9
  • Kikuchi, M., Murakami, H., Suzuki, K., Nagao, T. M., & Higurashi, A. (2018). Improved Hourly Estimates of Aerosol Optical Thickness Using Spatiotemporal Variability Derived From Himawari-8 Geostationary Satellite. IEEE Transactions on Geoscience and Remote Sensing, 56(6), 3442–3455. https://doi.org/10.1109/tgrs.2018.2800060
  • 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. Journal of the Meteorological Society of Japan. Ser. II, 96B(0), 2018-007–089. https://doi.org/10.2151/jmsj.2018-007
  • Yoshida, M., Kikuchi, M., Nagao, T. M., Murakami, H., Nomaki, T., & Higurashi, A. (2018). Common Retrieval of Aerosol Properties for Imaging Satellite Sensors. Journal of the Meteorological Society of Japan. Ser. II, 96B(0), 2018-039–209. https://doi.org/10.2151/jmsj.2018-039
  • Yumimoto, K., Tanaka, T. Y., Yoshida, M., Kikuchi, M., Nagao, T. M., Murakami, H., & Maki, T. (2018). Assimilation and Forecasting Experiment for Heavy Siberian Wildfire Smoke in May 2016 with Himawari-8 Aerosol Optical Thickness. Journal of the Meteorological Society of Japan. Ser. II, 96B(0), 2018-035–149. https://doi.org/10.2151/jmsj.2018-035
  • Letu, H., Ishimoto, H., Riedi, J., Nakajima, T. Y., Labonnote, L. C., Baran, A. J., Nagao, T. M., et al. (2016). Investigation of ice particle habits to be used for ice cloud remote sensing for the GCOM-C satellite mission. Atmospheric Chemistry and Physics, 16(18), 12287–12303. https://doi.org/10.5194/acp-16-12287-2016
  • Sekiyama, T. T., Yumimoto, K., Tanaka, T. Y., Nagao, T. M., Kikuchi, M., & Murakami, H. (2016). Data Assimilation of Himawari-8 Aerosol Observations: Asian Dust Forecast in June 2015. SOLA, 12(0), 86–90. https://doi.org/10.2151/sola.2016-020
  • Yumimoto, K., Nagao, T. M., Kikuchi, M., Sekiyama, T. T., Murakami, H., Tanaka, T. Y., et al. (2016). Aerosol data assimilation using data from Himawari-8, a next-generation geostationary meteorological satellite. Geophysical Research Letters, 43(11), 5886–5894. https://doi.org/10.1002/2016gl069298
  • Letu, H., Nagao, T. M., Nakajima, T. Y., & Matsumae, Y. (2014). Method for validating cloud mask obtained from satellite measurements using ground-based sky camera. Applied Optics, 53(31), 7523–7533. https://doi.org/10.1364/ao.53.007523
  • Nagao, T. M., Suzuki, K., & Nakajima, T. Y. (2013). Interpretation of Multiwavelength-Retrieved Droplet Effective Radii for Warm Water Clouds in Terms of In-Cloud Vertical Inhomogeneity by Using a Spectral Bin Microphysics Cloud Model. Journal of the Atmospheric Sciences, 70, 2376–2392. https://doi.org/10.1175/jas-d-12-0225.1
担当課題リスト