Sang-Moo Lee

Assistant Professor

Seoul National University

South Korea

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Dr. Sang-Moo Lee is an Assistant Professor at Seoul National University in South Korea. His research focuses on remote sensing of Arctic sea ice, ocean surface emissivity, and snow depth estimation using satellite data. Recent articles highlight his contributions to understanding global light rain systems and advanced methodologies for satellite-derived measurements in polar regions.

Articles (15)

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2025

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2025

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2025

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2025

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2024

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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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2021

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2021

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2021

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2021

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2020

Collaborators (2)

Rasmus Tage Tonboe

Technical University of Denmark

DENMARK

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ALBIN GASIEWSKI

University of Colorado Boulder

UNITED STATES

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Sang-Moo Lee

Research Interests

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Articles (15)

Characteristics of Global Light Rain System From GPM/DPR Measurements

A Bias Correction Method for AMSR2 Brightness Temperature Over Global Ocean and Its Impact on Ocean Surface Roughness Estimation

Advanced Algorithm for Continuous Melt Onset Detection on Arctic Sea Ice

Data Assimilation of Satellite-Derived Arctic Sea-Ice Thickness During Boreal Summer

A Simple and Robust CryoSat‐2 Radar Freeboard Correction Method Dedicated to TFMRA50 for the Arctic Winter Snow Depth and Sea Ice Thickness Retrieval

Estimation of Arctic Winter Snow Depth, Sea Ice Thickness and Bulk Density, and Ice Freeboard by Combining CryoSat-2, AVHRR, and AMSR Measurements

A Physically Based Two-Scale Ocean Surface Emissivity Model Tuned to WindSat and SSM/I Polarimetric Brightness Temperatures

Influences of Two-Scale Roughness Parameters on the Ocean Surface Emissivity From Satellite Passive Microwave Measurements

Passive microwave algorithms for refractive index of Arctic sea ice: a comparison of two approaches and interpretations

Winter Snow Depth on Arctic Sea Ice From Satellite Radiometer Measurements (2003–2020): Regional Patterns and Trends

Estimation of Arctic Basin-Scale Sea Ice Thickness From Satellite Passive Microwave Measurements

A New Description of Small-Scale and Large-Scale Roughness in the Fast Ocean Surface Emissivity Model

A New Description of Small-Scale and Large-Scale Roughness in the Fast Ocean Surface Emissivity Model

Influences of Two-Scale Roughness Parameters on the Ocean Surface Emissivity From Satellite Passive Microwave Measurements

Differences Between ICESat and CryoSat‐2 Sea Ice Thicknesses Over the Arctic: Consequences for Analyzing the Ice Volume Trend

Collaborators (2)

Rasmus Tage Tonboe

ALBIN GASIEWSKI

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