The global climate is primarily modulated by complex radiative interactions with clouds and aerosols at various spatial scales in the atmosphere. Saito’s central goal is to investigate the role of clouds and aerosols in atmospheric radiative and microphysical processes by fully leveraging observational capabilities, with an emphasis on remote sensing techniques. Airborne remote sensing observations can characterize cloud and aerosol properties on a local scale, while satellite remote sensing observations can estimate global distributions of cloud and aerosol properties. The common essence in both remote sensing observation types is how to interpret radiometric signals and derive cloud and aerosol properties based on physical principles. His overall research interests are focused on two study areas.
Developing sophisticated airborne/spaceborne remote sensing methods for better cloud and aerosol properties characterization
Deepening the understanding of the roles of clouds and aerosols in the radiation field from physical and microphysical perspectives, from both theoretical and observational perspectives
Remote sensing techniques are indispensable for measuring cloud and aerosol properties from any observational platform. Saito aspires to conduct observation-driven atmospheric science research by exploring airborne and spaceborne observations.
Methods
Use a variety of light-scattering computational capabilities and paper-and-pencil type approaches to investigate the scattering mechanisms and properties of various atmospheric particles.
Develop/improve airborne remote sensing techniques for Wyoming Cloud Radar (WCR) and Lidar (WCL) aboard NSF/UW King Air (UWKA-2) for the characterization of aerosol and cloud profiles.
Current Projects
Dust aerosol is one of the most dominant aerosol species by mass and is ubiquitous globally due to the intercontinental transport of its plume. Airborne dust plumes affect the radiation fields directly through scattering, absorption, and emission of radiation. The optical properties of dust aerosols vary substantially with their particle sizes, shapes, and mineralogical compositions, as suggested by rigorous electromagnetic theory and confirmed by laboratory measurements. These variations in dust optical properties lead to significant uncertainty in the estimation of the dust direct radiative effect (DDRE).
In this project, we will use the EMIT mineralogical dataset and spaceborne lidar remote sensing to quantify DDRE over Saharan desert regions, by taking into account mineral dust particle sizes, shapes, and mineralogical compositions.
Orographic wave clouds are terrain-induced mixed-phase clouds (MPC) that can occur in mountain regions. A critical yet poorly understood key process in MPCs is the cloud glaciation process, which transforms MPCs into ice clouds. As the orographic wave clouds often exhibit a liquid-ice layered structure at fine scales under a relatively simple dynamics condition, these clouds can be an optimal testbed to investigate the cloud glaciation process.
The Aerial Tracking of Temporal Evolution of Mixed-Phase Cloud in Mountain Terrain 2026 (ATTEMPT-26) field campaign is a UW startup-sponsored field campaign and will measure the fine-scale structures of the microphysical and dynamic properties of orographic wave clouds to address the overarching hypothesis of “Fine-scale spatial heterogeneity of MPCs microphysical properties critically determines the effectiveness of the WBF process and therefore cloud glaciation.” The ATTEMPT field campaign is scheduled for February 2026.