Estimation of Arctic Winter Snow Depth, Sea Ice Thickness and Bulk Density, and Ice Freeboard by Combining CryoSat-2, AVHRR, and AMSR Measurements
2023 · IEEE Transactions on Geoscience and Remote Sensing
저자
Hoyeon Shi, Sang‐Moo Lee, Byung‐Ju Sohn, Albin J. Gasiewski, Walter N. Meier, Gorm Dybkjær, 김상우 (Sang‐Woo Kim)
연구주제
Arctic and Antarctic ice dynamics
NTIS 과학기술표준분류
에너지/자원만에너지·환경·원자력 확장
지원 과제·AI 키워드로 잡을 근거가 없어 분류하지 않았다.
AI 연구 키워드·방법
북극 해빙 해빙 두께 snow depth on sea ice
키워드 (OpenAlex)
sea ice thickness snow depth on sea ice CryoSat-2 multi-year ice Arctic winter AVHRR AMSR hydrostatic equilibrium
초록
Information on snow depth on sea ice and bulk sea ice density is required to convert CryoSat-2 radar freeboard (hf) into sea ice thickness (SIT). It is difficult to obtain their information on an Arctic basin scale; therefore, most CryoSat-2 SIT products largely rely on the distributions of snow depth and bulk sea ice density derived from parameterizations, which are based on sea ice type and climatological values. Several observational studies have found that the distributions of parameterized variables are inaccurate compared to the actual distributions. This study aims to develop a new type of retrieval algorithm for snow depth, SIT and bulk density, and ice freeboard in the Arctic winter by synergizing active CryoSat-2 with passive microwave and infrared measurements. Two parameterizations for the snow-ice thickness ratio and bulk sea ice density were combined with the hydrostatic ba…
이 논문을 지원한 국가R&D 과제 (NTIS 성과)
| 연도 | 과제 | 부처 | 사업 | 수행기관 | NTIS 분류(1순위) |
|---|---|---|---|---|---|
| 2023 | 지구환경과학 교육연구단 | 교육부 | 4단계두뇌한국21사업 | 서울대학 | – |
인접 그래프
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교수 1
연구주제 1
Arctic and Antarctic ice dynamics