Rufang Ti

About

Rufang Ti is a leading researcher in atmospheric aerosol science and satellite remote sensing, with a focus on characterizing aerosol properties and advancing retrieval algorithms. Her work is pivotal for understanding aerosol distributions and their impact on climate and air quality. Ti’s most cited paper, “The primary aerosol models and distribution characteristics over China based on the AERONET data” (2021, 17 citations), establishes foundational aerosol models for China using ground-based observations, providing critical inputs for radiative transfer calculations and atmospheric studies. She further innovates in satellite-based aerosol retrieval with her 2023 study, “Aerosol Retrieval Study from a Particulate Observing Scanning Polarimeter Onboard Gao-Fen 5B without Prior Surface Knowledge, Based on the Optimal Estimation Method” (6 citations). This work develops a novel inversion algorithm leveraging multi-band intensity and polarization data from the Gao-Fen 5B satellite, enabling accurate aerosol detection without prior surface knowledge—a significant advancement for single-angle polarimeters. Ti’s contributions enhance our ability to monitor aerosols globally, supporting climate modeling and environmental policy. Her research, though early in citation impact, demonstrates high potential for shaping future remote sensing technologies and aerosol science applications.

Research Focus

Key Achievements

Top Papers

1. 1
   The primary aerosol models and distribution characteristics over China based on the AERONET data

   17 citations · 2021
2. 2
   Aerosol Retrieval Study from a Particulate Observing Scanning Polarimeter Onboard Gao-Fen 5B without Prior Surface Knowledge, Based on the Optimal Estimation Method

   6 citations · 2023

Key Collaborators

Contact & Links