期刊
GEOPHYSICAL RESEARCH LETTERS
卷 44, 期 24, 页码 12262-12270出版社
AMER GEOPHYSICAL UNION
DOI: 10.1002/2017GL075547
关键词
sea ice; melt ponds; microwave backscatter; Sentinel-1; seasonal forecast
资金
- Natural Sciences and Engineering Research Council (NSERC) Discovery Grant (DG)
- Marine Environmental Observation, Prediction, and Response Network (MEOPAR)
- Changing Earth Science Network, part of the European Space Agency's Support To Science Element (STSE)
Spring melt pond fraction (f(p)) has been shown to influence September sea ice extent and, with a growing need to improve melt pond physics in climate and forecast models, observations at large spatial scales are needed. We present a novel technique for estimating f(p) on sea ice at high spatial resolution from the Sentinel-1 satellite during the winter period leading up to spring melt. A strong correlation (r = -0.85) is found between winter radar backscatter and f(p) from first-year and multiyear sea ice data collected in the Canadian Arctic Archipelago (CAA) in 2015. Observations made in the CAA in 2016 are used to validate a f(p) retrieval algorithm, and a f(p) prediction for the CAA in 2017 is made. The method is effective using the horizontal transmit and receive polarization channel only and shows promise for providing seasonal, pan-Arctic, f(p) maps for improved understanding of melt pond distributions and forecast model skill.
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