Improved method for retrieving Arctic summer sea ice velocity based on FY-3D/MWRI brightness temperatures

Rapid decline in Arctic summer sea ice cover has brought new opportunities for shipping and resource exploitation in the Arctic, and accurate determination of summer sea ice conditions has become increasingly important. Knowledge of sea ice velocity (SIV) is crucial for ice engineering and navigation in the Arctic. This study retrieved SIV in summer based on the polarization difference (PD) of brightness temperatures (TBs) at 36 GHz derived from the recalibrated FY-3D satellite microwave radiometer data FY-3D/MWRI. Compared with swath TB data, swath PD data can better suppress the noise associated with atmospheric wetness (cloud liquid water and water vapor). Moreover, different from the arbitrary template selection scheme used in current algorithms, we propose an optimized template selection scheme based on the image texture, which considers the frequent deformation processes of sea ice in summer. Determination of SIV using templates with irregular distribution presents lower uncertainty and higher computational efficiency compared with templates with regular distribution. Based on the improved algorithm, this study obtained either swath irregular SIV fields with nominal spatial resolution of 30 km or daily gridded SIV fields with 50-km spatial resolution in summer 2019 using 36-GHz PDs.

Authors

Institutions

Publication Details

Journal
International Journal of Digital Earth
Published
2024-10-28
DOI
https://doi.org/10.1080/17538947.2024.2420411
Citations
1
Primary Topic
Arctic and Antarctic ice dynamics
Type
article
Field-Weighted Citation Impact
0.38

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Improved method for retrieving Arctic summer sea ice velocity based on FY-3D/MWRI brightness temperatures

Fei Shi, Matti Leppäranta, Qian Shi, Rui Xu et al.
1 citations
International Journal of Digital Earth
Arctic and Antarctic ice dynamics
0.38
article

Improved method for retrieving Arctic summer sea ice velocity based on FY-3D/MWRI brightness temperatures

Fei Shi, Matti Leppäranta, Qian Shi, Rui Xu, Xiaochun Zhai, Qinghua Yang, Jiping Liu
article en
1 citations

Abstract

Rapid decline in Arctic summer sea ice cover has brought new opportunities for shipping and resource exploitation in the Arctic, and accurate determination of summer sea ice conditions has become increasingly important. Knowledge of sea ice velocity (SIV) is crucial for ice engineering and navigation in the Arctic. This study retrieved SIV in summer based on the polarization difference (PD) of brightness temperatures (TBs) at 36 GHz derived from the recalibrated FY-3D satellite microwave radiometer data FY-3D/MWRI. Compared with swath TB data, swath PD data can better suppress the noise associated with atmospheric wetness (cloud liquid water and water vapor). Moreover, different from the arbitrary template selection scheme used in current algorithms, we propose an optimized template selection scheme based on the image texture, which considers the frequent deformation processes of sea ice in summer. Determination of SIV using templates with irregular distribution presents lower uncertainty and higher computational efficiency compared with templates with regular distribution. Based on the improved algorithm, this study obtained either swath irregular SIV fields with nominal spatial resolution of 30 km or daily gridded SIV fields with 50-km spatial resolution in summer 2019 using 36-GHz PDs.

International Journal of Digital EarthVol. 17(1)
Dalian Ocean University (CN), University of Helsinki (FI), China Meteorological Administration (CN), Sun Yat-sen University (CN), Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou) (CN), Beijing Meteorological Bureau (CN), Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai) (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China
Life below water
Openalex Percentile: Top 39%
Arctic and Antarctic ice dynamics
0.38
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.