Masanori Saito

Assistant Professor

University of Wyoming

United States

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Masanori Saito is an Assistant Professor at the University of Wyoming, USA. His research focuses on the optical properties and microphysical characteristics of atmospheric aerosols, particularly dust and ice clouds, as well as remote sensing applications. Recent articles authored by Professor Saito explore various aspects of lidar measurements, scattering properties, and the effects of mineralogical content on aerosol behavior.

Articles (13)

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2025

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2024

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2024

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2023

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2023

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2023

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2023

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2022

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2022

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2021

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2021

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2020

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2020

Collaborators (5)

Helen Brindley

Imperial College London

UNITED KINGDOM

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Jasper Kok

professor

University of California, Los Angeles

UNITED STATES

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Ping Yang

Professor (2008-present)/Associate Professor (2005-2008)/Assistant Professor (2001-2005)

Texas A&M University

UNITED STATES

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Dongchen Li

Texas A&M University

UNITED STATES

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William Smith

Texas A&M University

UNITED STATES

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Masanori Saito

Research Interests

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About

Articles (13)

Retrieval of microphysical properties of dust aerosols from extinction, backscattering and depolarization lidar measurements using various particle scattering models

Sensitivities of Spectral Optical Properties of Dust Aerosols to Their Mineralogical and Microphysical Properties

A Robust Ice Cloud Optical Property Model for Lidar-Based Remote Sensing Applications

Single-scattering properties of ellipsoidal dust aerosols constrained by measured dust shape distributions

Time-Dependent Systematic Biases in Inferring Ice Cloud Properties from Geostationary Satellite Observations

On the Scattering-Angle Dependence of the Spectral Consistency of Ice Cloud Optical Thickness Retrievals Based on Geostationary Satellite Observations

Quantifying the Impact of the Surface Roughness of Hexagonal Ice Crystals on Backscattering Properties for Lidar‐Based Remote Sensing Applications

Generalization of Atmospheric Nonspherical Particle Size: Interconversions of Size Distributions and Optical Equivalence

Analytical Prediction of Scattering Properties of Spheroidal Dust Particles With Machine Learning

Advanced Bulk Optical Models Linking the Backscattering and Microphysical Properties of Mineral Dust Aerosol

A comprehensive database of the optical properties of irregular aerosol particles for radiative transfer simulations

Spaceborne Middle‐ and Far‐Infrared Observations Improving Nighttime Ice Cloud Property Retrievals

An Improved Beta Method for Ice Cloud Property Retrievals: Theory

Collaborators (5)

Helen Brindley

Jasper Kok

Ping Yang

Dongchen Li

William Smith

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