SNUEI

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

위성 원격탐사

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)

연도과제부처사업수행기관NTIS 분류(1순위)
2023지구환경과학 교육연구단교육부4단계두뇌한국21사업서울대학–

인접 그래프

노드 hover = 이웃 강조 · 1회 클릭 = 고정 · 고정된 노드 다시 클릭 = 페이지 이동

이 문서와 연결된 페이지

교수 1

김상우

연구주제 1

Arctic and Antarctic ice dynamics

키워드 2

북극 해빙 · 해빙 두께

방법 1

위성 원격탐사