Yi Zhou

Evaluating the Potential of Multisource Snow Depth for Improving ICESat-2 Arctic Sea Ice Thickness Retrieval

The accuracy of pan-Arctic sea ice thickness (SIT) derived from the Ice, Cloud, and land Elevation Satellite-2 (ICESat-2) primarily depends on the representation of snow depth during the conversion from ICESat-2 laser freeboard to SIT. Here, we systematically assess ICESat-2 Arctic SIT retrievals by combining multiple...

A long-term wintertime snow depth dataset on Arctic sea ice (1978-2025) derived from multisource passive microwave radiometer data

Enhanced Retrieval of Spring Snow Depth Over Pan‐Arctic Sea Ice From AMSR2 Observations for 2013–2023 Using Multi‐Model Machine Learning

A multi‐model machine learning (ML) framework for retrieving spring snow depth over Arctic sea ice from Advanced Microwave Scanning Radiometer 2 (AMSR2) is developed and a daily snow depth record for March–April from 2013 to 2023 is generated.