Honglian Huang

About

Honglian Huang is a leading figure in atmospheric remote sensing, with a research focus on aerosol properties, water vapor retrieval, and satellite-based atmospheric correction. Her work is foundational to understanding aerosol distribution and its climatic impacts, particularly over China. Huang’s most-cited paper, “The primary aerosol models and distribution characteristics over China based on the AERONET data” (2021, 17 citations), established critical aerosol models that serve as essential inputs for radiative transfer calculations, influencing numerous Earth atmosphere applications. She further advanced satellite remote sensing by developing a method for columnar water vapor retrieval using data from the Polarized Scanning Atmospheric Corrector onboard China’s HJ-2 A/B satellites (2022, 14 citations), enhancing environmental monitoring capabilities. Most recently, Huang pioneered an aerosol retrieval algorithm for the Particulate Observing Scanning Polarimeter on Gao-Fen 5B, achieving accurate aerosol detection without prior surface knowledge through optimal estimation theory (2023, 6 citations). Her contributions are vital for improving atmospheric correction and climate modeling, making her work indispensable for researchers in Earth observation and environmental science.

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
   Columnar Water Vapor Retrieval by Using Data from the Polarized Scanning Atmospheric Corrector (PSAC) Onboard HJ-2 A/B Satellites

   14 citations · 2022
3. 3
   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