Presentations

Presentation in Meetings/Conferences

Upcoming Meetings/Conferences

• Schuster, G. L., et al., The Table of Aerosol Optics (TAO), European Geosciences Union General Assembly 2024, Vienna, Austria (April 2024) TBD.

• Saito, M., Ming the gap: Revisiting the capabilities of the satellite remote sensing of cloud properties, Japan Geoscience Union Meeting 2024, Makuhari, Japan, (May 2024) Invited (Online).

• Saito, M., Toward the microphysical properties retrievals in mixed-phase clouds from radar-lidar observations, International Radiation Symposium 2024, Hangzhou, China, (June 2024) TBD.

2024

• Saito, M., Revisiting remote sensing of cloud microphysical properties: A physics perspective, CSU Atmospheric Science Colloquium, Fort Collins, USA, (January 2024) Invited.

2023

• Saito, M., and Ping Yang, The backscattering properties of atmospheric particles for the lidar-based remote sensing applications, AGU Fall Meeting 2023, San Francisco, USA, (December 2023) Oral.

• Saito, M., Toward lidar-based remote sensing of ice clouds with a physics-based method, Seminar at RIAM, Ohnojo, Japan, (December 2023) Oral.

• Schuster, G. L., R. Moore, S. Stamnes, E. Chemyakin, H. Moosmuller, B. Van Diedenhoven, E. Andrews, J. Schwarz, M. Saito, P. Yang, A. Da Silva, M. Chin, R. Espinosa, G. Regmi, N. Moteki, Y. Derimian, F. Ducos, P. Lesueur, and B. Johnson, The Tables of Aerosol Optics (TAO) Project, AGU Fall Meeting 2023, San Francisco, USA, (December 2023) Poster.    

• Li, D., M. Saito, Ping Yang, Understanding the scattering angle dependence of the spectral consistency of ice cloud optical thickness retrievals, AGU Fall Meeting 2023, San Francisco, USA, (December 2023) Oral.

• Li, D., M. Saito, Ping Yang, Exploring the impact of mixed-phase cloud and sub-view geometry on the ice cloud optical thickness retrievals based on geostationary satellite observations, AGU Fall Meeting 2023, San Francisco, USA, (December 2023) Poster.

• Zhang, Y., M. Saito, Ping Yang, Spectral sensitivity analysis of effects of dust aerosol mineralogical and microphysical properties on lidar observations, AGU Fall Meeting 2023, San Francisco, USA, (December 2023) Poster.

• Saito, M., An ice optical property model toward lidar-based ice cloud remote sensing applications, Atmospheric Environmental Remote Sensing Symposium 2023, Wuhan, China, (September 2023) Invited.

• Schuster, G., et al., The Tables of Aerosol Optics (TAO) project, AOGS 2023, Singapore, (July 2023) Poster.

• Saito, M., and P. Yang, Revisiting particle size distributions of nonspherical particles, The 20th Electromagnetic and Light Scattering Conference 2023, Granada, Spain, (May 2023) Oral.

• Saito, M. and P. Yang, Ice optical properties in the far-infrared, PREFIER Science Team Meeting 2023, (Pasadena, CA, Jan. 2023) Oral.

• Saito, M., and P. Yang, Semi-physical coherent backscattering correction for a randomly oriented ice crystal in geometric optics regime, American Meteorological Society 103rd Annual Meeting 2023, (Denver, USA, Jan. 2023) Oral.

• Li, D., M. Saito, and P. Yang, The potential time-dependent systematic bias in ice cloud retrievals based on GOES-17 observations, American Meteorological Society 103rd Annual Meeting 2023, (Denver, USA, Jan. 2023) Virtual Poster.

2022

• Saito, M., and P. Yang, On the optical quasi-equivalence of atmospheric nonspherical particles: Implications for remote sensing, AGU Fall Meeting 2022, Chicago, USA, Dec. 2022) Virtual Poster.

• Schuster, G., et al., The Tables of Aerosol Optics (TAO) project, AGU Fall Meeting 2022, Chicago, USA, Dec. 2022) Poster.

• Lopatin, A., et al., Accounting for Aerosol Particle Non-sphericity in Passive and Active Remote Sensing of Desert Dust Using GRASP Algorithm, AGU Fall Meeting 2022, Chicago, USA, Dec. 2022) Poster.

• Coy, J., M. Saito, J. Ding, and P. Yang, A Broad Spectrum Two-Habit Model Optical Property Database for the Improvement of Active-Passive Retrieval Consistency of Downstream Remote Sensing Applications, AGU Fall Meeting 2022, Chicago, USA, Dec. 2022) Oral.

• Regmi, G., W. R. Espinosa, J. V. Martins, A. Puthukkudy, O. Kemppinen, M. Saito, O. Dubovik, A comparative study of hexahedral and spheroidal aerosols' imapct on polarimeter observations as simulated by the generalized retrieval of aerosol and surface properties (GRASP), AGU Fall Meeting 2022, Chicago, USA, Dec. 2022) Poster.

• Saito, M., and P. Yang, Utilizing geostationary satellite observations to develop a next generation ice cloud optical property model in support of JCSDA Community Radiative Transfer Model (CRTM) and JPSS CAL/VAL, NOAA/NASA ROSES A.33 Science Revew Meeting 2022, (College Park, MD, Oct. 2022) Oral.

• Saito, M., and P. Yang,Global distribution of mineral dust load and microphysical properties revealed from synergistic CALIPSO and state-of-the-science light-scattering simulations, CALIPSO & CloudSat Science Team Meeting 2022, (Fort Collins, CO, Sep. 2022) Oral.

• Chen, X., J. Wang, J. Gomes, O. Dubovik, P. Yang, and M. Saito, Analytical prediction of scattering properties of spheroidal dust particles with machine learning, 3rd APOLO-2022, (Washington DC, Aug. 2022) Poster.

• Schuster, L. G., O. Cambaliza, M. Chin, O. Dubovik, S. W. Kim, M. Saito, C. Trepte, and P. Yang, Models, In situ, and Remote sensing of Aerosols (MIRA) and the Table of Aerosol Optics (TAO), 3rd APOLO-2022, (Washington DC, Aug. 2022) Oral.

• Coy, J., M. Saito, J. Ding, and P. Yang, A New Ice Particle Optical Property Database with Improved Shortwave Backscattering for Downstream Active Remote Sensing Applications, 3rd APOLO-2022, (Washington DC, Aug. 2022) Oral.

• Saito, M., and P. Yang,Critical impacts of the small-scale surface roughness of ice crystals on lidar backscattering signals, The 16th Conference on Atmospheric Radiation, (Madison, WI, Aug. 2022) Oral.

• Saito, M., and P. Yang, Rigorous treatment of nonspherical particle size distributions for observationally constrained ice crystal ensemble model development, The 16th Conference on Atmospheric Radiation, (Madison, WI, Aug. 2022) Poster.

• Li, D., M. Saito, and P. Yang, On the potential time-dependent systematic cloud optical thickness bias based on GOES-16 observations, The 16th Conference on Atmospheric Radiation, (Madison, WI, Aug. 2022) Poster.

• Yang, P., J. Ding, M. Saito, T. Ren, J. Coy, and Y. Zhang, Advanced capabilities for modeling the optical properties of nonspherical and inhomogeneous particles: applications to the solutions to light scattering by ice crystals and dust aerosol particles, The 16th Conference on Atmospheric Radiation, (Madison, WI, Aug. 2022) Oral.

• Saito, M., and P. Yang, Toward dust microphycal property retrievals from lidar observations,  International Radiation Symposium 2022, (Thessaloniki, Greece, Jul. 2022) Oral.

• Lopatin A., O. Dubovik, W. Lin, L. Bi, M. Saito, G. Schuster, S. Zhai, M. Haarig, A. Ansmann, P. Lytvinov, C. Li, C. Chen, C. Matar, D. Fuertes, and Y. Karol, Accounting for aerosol particle nonsphericity in active and passive remote sensing of desert dust using GRASP algorithm,  International Radiation Symposium 2022, (Thessaloniki, Greece, Jul. 2022) Oral.

• Saito, M., D. Li, and P. Yang, Global ice grain Ensemble model (Gig’em) for various radiative transfer simulations: Temperature dependence of ice refractive index and crystal shapes, American Meteorological Society 102nd Annual Meeting 2022, (Online, Jan. 2022) Poster. 

• Li, D., M. Saito, and P. Yang, A sensitivity study of GOES-16 Advanced Baseline Imager cloud retrievals comparing two down-scaling methods, American Meteorological Society 102nd Annual Meeting 2022, (Online, Jan. 2022) Poster. 

2021

• Saito, M., and P. Yang, Critical impacts of small-scale surface roughness irregularities of ice crystals: Implications for lidar backscattering, AGU Fall Meeting 2021, (New Orleans, USA, Dec. 2021) Poster. 

• Li, D., M. Saito, and P. Yang, Impact of pixel down-scaling methods on GOES-16 ABI cloud retrievals for different types of clouds, AGU Fall Meeting 2021, (New Orleans, USA, Dec. 2021) Poster. 

• Coy, J., M. Saito, J. Ding, and P. Yang, A single-scattering optical property database for the improvement of downstream lidar calculations, AGU Fall Meeting 2021, (New Orleans, LA, USA, Dec. 2021) Poster.

• Saito, M., and P. Yang, Optimal bulk optical model linking the backscattering properties and microphysical properties of dust plumes, AGU Fall Meeting 2021, (New Orleans, USA, Dec. 2021) Oral. 


• Saito, M., and P. Yang, A new scattering property database of nonspherical mineral dust aerosol particles: Introduction and applications, Hyperspectral Imaging and Sounding of the Environment 2021, (Online, Jul. 2021) Oral. 

• Saito, M., and P. Yang, TAMUdust2020: A comprehensive database of the single-scattering properties of irregular dust aerosols the 19th Electromagnetic and Light Scattering Conference 2021, (Online, Jul. 2021) Oral. 


• Coy, J., M. Saito, J. Ding, and P. Yang, Improved ice particle backscattering computations from a newly developed single-scattering database, The 19th Electromagnetic and Light Scattering Conference 2021, (Online, Jul. 2021) Poster.

• Li, D., M. Saito, and P. Yang, Impact of pixel down-scaling on GOES-16 ABI ice cloud retrievals, the 19th Electromagnetic and Light Scattering Conference 2021, (Online, Jul. 2021) Oral.

• 齊藤 雅典, 非球形大気微粒子の光学特性の包括的なデータベース, 日本気象学会2021年度春季大会, 2021年5月, オンライン, 口頭.

• Saito, M., and P. Yang, A comprehensive database of the optical properties of mineral dust aerosol particles for spaceborne remote sensing applications, EGU Annual Meeting 2021, (Online, 2021.04) Oral.

• Saito, M., A new scattering property database of irregular aerosol particles for lidar backscattering property simulations, CALIPSO Version 5 Aerosol Lidar Ratio Workshop, (Online, 2021.03) Invited.

• Saito, M., P. Yang, J. Ding, and X. Liu, A comprehensive database of the optical properties of irregular aerosol particles for radiative transfer simulations, CALIPSO Lidar Science Working Group (LSWG) meeting, (Online, 2021.02) Invited.

• Saito, M., P. Yang, and X. Liu, Lidar simulations of ice clouds and dust plumes using novel single-scattering property databases, AMS 101st Annual Meeting 2021, (Online, 2021.01) Oral.

• Coy, J., M. Saito, J. Ding, and P. Yang, A new database for the optical properties of ice crystals, American Meteorological Society 101st Annual Meeting 2021, (Online, Jan. 2021) Oral.

2020

• Saito, M., P. Yang, and X. Huang, Exploiting ABI/GOES multiband observations for ice cloud property retrievals, AGU Fall Meeting 2020, (Online, 2020.12) Poster.

• Coy, J., M. Saito, J. Ding, and P. Yang, Improvemnts to the Two-Habit model single-scattering database: Irregular hexagonal column ensemble, new size characterizationm and improved backscattering, AGU Fall Meeting 2020, (Online, 2020.12) Oral.

• Saito, M., P. Yang, and X. Liu, A novel single-scattering property database of irregular aerosol particles for satellite-based aerosol remote sensing, 38th AAAR Annual Conference 2020, (Online, 2020.10) Oral.

• Coy, J., M. Saito, and P. Yang, Update on a two habit model for the optical properties of ice clouds, 34th CERES-II Science Team Meeting, (Online, 2020.09) Oral.

• Coy, J., J. Ding, M. Saito, and P. Yang, Progress in simulating the optical properties of ice clouds and graupel/snow in support of CERES Science Team, 33rd CERES-II Science Team Meeting, (Online, 2020.04) Oral. 

• Saito, M., P. Yang, A. K. Heidinger, and Y. Li, An improved beta method for ice cloud retrievals using spaceborne thermal infrared observations, AMS 100th Annual Meeting 2020, (Boston, MA, USA, 2020.01) Oral.

• Yang, P., J. Ding, and M. Saito, Enhancing CRTM in absorption, single-scattering properties, and multiple scattering calculation with polarization, AMS 100th Annual Meeting 2020, (Boston, MA, USA, 2020.01) Oral.

2019

• Saito, M., and P. Yang, Feasibility of retrieving ice cloud properties based on spaceborne mid-to-far-infrared measurements, PIERS conference 2019, (Xiamen, China, 2019.12) Oral.

• Yang, P., J. Ding, M. Saito, and X. Liu, Advanced modeling capabilities for simulating single and multiple scattering in the atmosphere with inclusion of polarization, PIERS conference 2019, (Xiamen, China, 2019.12) Oral.

• Yang, P., M. Saito, X. Huang, and B. Kahn, Sensitivity study of ice cloud radiative property for future spaceborne far-infrared remote sensing applications, AGU Fall Meeting 2019, (San Francisco, CA, USA, 2019.12) Poster.

• Saito, M., and P. Yang, Vertically inhomogeneous marine water cloud propeorties obtained from MODIS–CloudSat observations: Microphysics to climatology, MODIS/VIIRS Science Team Meeting 2019, (College Park, MD, 2019.11) Poster.

• Saito, M., and P. Yang, Observational constraint on particle shapes in optically thin ice clouds using CALIOP–IIR measurements, 2nd APOLO conference 2019, (Lille, France, 2019.11) Poster.

• Yang, P., J. Ding, and M. Saito, "Advances in single- and multiple-scattering simulation capabilities in support of polarimetric remote sensing of the atmospher and oceans", 2nd APOLO conference 2019, (Lille, France, 2019.11) Oral.

• Yang, P., J. Coy, M. Saito, Y. Wang, and J. Ding, "Improvements in an ice cloud optical property model", 32nd CERES-II Science Team Meeting, (Online, 2019.10) Oral.

• Saito, M., and P. Yang, Horizontally oriented crystals in ice clouds: Scattering properties and remote sensing, PIERS conference 2019, (Rome, Italy, 2019.06) Oral.

• Yang, P., J. Ding, M. Saito, P. G. Stegmann, B. A. Baum, and X. Huang, Single- and multiple-scattering modeling capabilities in support of remote sensing implementations, PIERS conference 2019, (Rome, Italy, 2019.06) Oral.

• Saito, M., and P. Yang, Optical properties of oriented ice crystals and applications in lidar remote sensing and optical phenomenon simulations, ELS conference 2019, (Hangzhou, China, 2019.06) Oral.

• Saito, M., and P. Yang, Far-infrared measurements benefit nighttime ice cloud property retrievals, ELS conference 2019, (Hangzhou, China, 2019.06) Oral.

• Saito, M., Remote sensing of clouds using combined spaceborne active–passive sensor measurements, CRL Seminar in NASA GSFC, (Greenbelt, MD, USA, 2019.05) Oral (invited).

• Yang, P., and M. Saito, Applications of a two-layer snow model to shortwave surface energy budget calculations, 31st CERES-II Science Team Meeting, (Hampton, VA, USA, 2019.05) Oral.

• Saito, M., and P. Yang, Phase matrices of horizontally oriented ice crystals and their applications in atmospheric sciences, Texas Section APS meeting 2019, (Nacogdoches, TX, USA, 2019.03) Poster.

• Yang, P., M. Saito, J. Ding, P. Stegmann, C. Hostetler, X. Liu, and C. Trepte, Dust Aerosol Optical Properties for Applications to Lidar and Polarimetric Retrievals, AMS 99th Annual Meeting 2019, (Phoenix, AZ, USA, 2019.01), Oral

2018

• Saito, M., P. Yang, Y. Hu, X. Liu, N. Loeb, W. L. Smith Jr., and P. Minnis, An efficient method for microphysical property retrievals in vertically inhomogeneous marine water clouds using MODIS–CloudSat measurements, AGU Fall Meeting 2018, (Washington DC, USA, 2018.12), Oral.

• Yang, P., J. Ding, M. Saito, G. W. Kattawar, K. N. Liou, and M. I. Mishchenko, Recent progress in simulating light scattering by non spherical ice particles, AGU Fall Meeting 2018, (Washington DC, USA, 2018.12), Oral.

• Saito, M., and P. Yang, On the ice cloud property retrieval from far-infrared measurements, The 1st FORUM workshop (Florence, Italy, 2018.10), Poster. 

• Yang, P.,  M. Saito, J. Ding, S. Hioki, and C-.P. Kuo, Advanced radiative transfer capabilities in support of far-infrared based remote sensing of ice clouds, aerosols, and snow, The 1st FORUM workshop (Florence, Italy, 2018.10), Oral. 

• Yang, P., and M. Saito, An update on a two-habit ice cloud model and a two-layer surface snow model for optical property simulations, 30th CERES-II Science Team Meeting, (Boulder, CO, USA, 2018.09) Oral.

• Saito, M., P. Yang, and B. Sun, Scattering property database of oriented hexagonal plate and its application to lidar measurements, PIERS conference 2018, (Toyama, Japan, 2018.08) Oral.

• Saito, M., G. Tang, and P. Yang, Development of a two-layer snow albedo model: Preliminary results and future perspectives, 29th CERES-II Science Team Meeting, (Hampton, VA, USA, 2018.05) Oral.

• Saito, M., and P. Yang, Retrieval of optical thickness and droplet effective radius over vertically inhomogeneous water clouds, ESL–LIP Joint conference 2018, (College Station, TX, USA, 2018.03) Poster.

2017

• Khatri, P., H. Iwabuchi, and M. Saito, Parameterization of cirrus cloud vertical profiles and geometrical thickness using CALIPSO and CloudSat data, AGU Fall Meeting 2017, (New Orleans, LA, 2017.12) Poster.

• Saito, M., H. Iwabuchi, P. Yang, G. Tang, M. D. King and M. Sekiguchi, Ice particle morphology and microphysical properties of transparent cirrus clouds inferred from CALIOP--IIR measurements, JpGU-AGU Joint Meeting 2017, (Makuhari, Japan, 2017.05) Oral.

• 齊藤 雅典, 岩渕 弘信, P. Yang, G. Tang, M. D. King, 関口 美保, CALIPSO 衛星観測から巻雲の光学・微物理特性と氷粒子形状を推定する手法の開発と検証, 日本気象学会2017年度春季大会, 2017年5月, 東京, 口頭.

• 齊藤 雅典, 岩渕 弘信, P. Yang, CALIOP–IIR 複合観測から得られた巻雲の氷粒子形状及びライダー比の地域・温度依存性, 日本気象学会2017年度春季大会, 2017年5月, 東京, 口頭.  

2016

• Saito, M., H. Iwabuchi, P. Yang, G. Tang, M. D. King and M. Sekiguchi, Microphysical properties and ice particle morphology of cirrus clouds inferred from combined CALIOP--IIR measurements, AGU fall meeting 2016, (San Francisco, USA, 2016.12) Poster

• 岩渕 弘信, 所 悠香, 齊藤 雅典, Putri, N. S., 片桐 秀一郎, 関口 美保, ひまわり８号の高頻度観測データを用いた雲の解析, 日本気象学会2016年度春季大会, 2016年5月, 東京, 口頭.

• 齊藤 雅典, 松本 恵子, 柳田 泰宏, 久利 美和, An algorithm for detecting the onset of volcanic eruption from digital images, ２０１６年度日本地球科学連合大会, 2016年5月, 幕張, ポスター.

• 岩渕 弘信，所 悠香，齊藤 雅典，Putri, N. S., ひまわり８号の高頻度観測データを用いた氷雲のライフサイクルの解析, 日本気象学会2016年度秋季大会, 2016年10月, 名古屋, 口頭.

2015

• Saito, M., H. Iwabuchi, and I. Murata, Cloud discrimination and spectral radiance estimation from digital sky images, AGU fall meeting 2015, (San Francisco, USA, 2015.12) Poster.

• Saito, M., H. Iwabuchi, and I. Murata, Development of sky spectral radiance estimation with a digital camera, Meteorological Society of Japan 2015 Spring Meeting, (Tsukuba, Japan, 2015.05) Poster.

• 齊藤 雅典, 岩渕 弘信, 村田 功, デジタルカメラを用いた天空光のスペクトルを推定する手法の開発, 日本気象学会2015年度春季大会, 2015年5月, つくば, ポスター.

• 岩渕 弘信, 所 悠香, 齊藤 雅典, Putri, N. S., 片桐 秀一郎, 関口 美保, ひまわり８号のデータを用いた氷晶雲の解析，日本気象学会2015年度春季大会, 2015年5月, つくば, ポスター.

• 所 悠香, 岩渕 弘信, 齊藤 雅典, Putri, N. S., 片桐 秀一郎, 関口 美保, ひまわり８号のデータを用いた氷晶雲の解析（２），日本気象学会2015年度秋季大会, 2015年10月, 京都, ポスター.

• 齊藤 雅典, 岩渕 弘信, デジタルカメラを用いた雲検知アルゴリズムの開発と検証, 日本気象学会2015年度秋季大会, 2015年10月, 京都, ポスター. 

2014

• Saito, M., and H. Iwabuchi, Aerosol retrieval from twilight photographs taken by a digital camera, AGU fall meeting 2014, (San Francisco, USA, 2014.12) Poster.

• Saito, M., and H. Iwabuchi, Algorithm development for aerosol retrievals from twilight photographs, International Conference for Clouds and Aerosol 2014, (Nanjing China, 2014.6) Poster.

• 齊藤 雅典, 岩渕 弘信, 薄明の空の写真からエアロゾル光学特性を推定するアルゴリズムの開発, 日本気象学会2014年度秋季大会, 2014年10月, 福岡, 口頭.

2013 

• Saito, M., and H. Iwabuchi, Tropospheric Aerosol Effects on Twilight Sky Color Based on Photographic Observations and Simulations, the 3rd International Symposium on Atmospheric Light Scattering and Remote Sensing (ISALSaRS'13), (Nagoya Japan, 2013.7) Poster.

• 齊藤 雅典, 岩渕 弘信, 早坂 忠裕, 薄明の空に対するエアロゾル光学特性の影響, 日本気象学会2013年度秋季大会, 2013年11月, 仙台, ポスター. 

2012

• Saito, M., H. Iwabuchi, and T. Hayasaka, How Does Tropospheric Aerosol Affect on Twilight Colors?, International Radiation Symposium 2012 (IRS 2012), (Berlin Germany, 2012.8) Poster.

• Saito, M., H. Iwabuchi, and T. Hayasaka, How Does Tropospheric Aerosol Affect on Twilight Sky Colors?, Grobal-COE Symposium 2012, (Sendai Japan, 2012.9) Poster.

• 齊藤 雅典, 岩渕 弘信, 早坂 忠裕, 薄明の空の色と対流圏エアロゾルの関係, 日本気象学会2012年度春季大会, 2012年5月, つくば, ポスター.

• 齊藤 雅典, 岩渕 弘信, 早坂 忠裕, 対流圏エアロゾルの影響を受けた薄明の空の放射伝達過程, 日本気象学会2012年度秋季大会, 2012年10月, 札幌, ポスター.

Workshops

2017

• Saito, M., Sky Image Synthesis, RCP Group Workshop, (Tohoku University, 2017.05).

2015

• Saito, M., Fortran Programming (Basic), RCP Group Workshop, (Tohoku University, 2015.11).

2014

• Ymada, K., and M. Saito, How to use Igor Pro, RCP Group Workshop, (Tohoku University, 2014.11).

• Iwabuchi, H., and M. Saito, Sky Image Synthesis, RCP Group Workshop, (Tohoku University, 2014.12).