Map of Arctic and Antarctic Polynyas 2013–2022 Using Sea Ice Concentration
Year: 2025
Type: article
Abstract: Polynyas play a crucial role in polar ecosystems, influencing biodiversity, climate regulation, and oceanic processes. This study employs Synthetic Aperture Radar (SAR) data to determine the optimal sea ice concentration threshold for polynya identification, which is established at 75%. We present a dataset of daily polynya distribution in the Arctic and Antarctic from 2013 to 2022, analyzing their spatial patterns, interannual variability, and seasonal dynamics. Our results indicate that coastal polynyas, primarily located near landmasses, dominate both polar regions. The total polynya area in the Antarctic remained relatively stable, averaging approximately 1.86 × 108 km2 per year, with an interannual fluctuation of −3.1 × 105 km2 per year. In the Arctic, the average polynya area is around 1.59 × 108 km2 per year, with an interannual fluctuation of −7.1 × 105 km2 per year. Both regions exhibit distinct seasonal cycles: Arctic polynyas peak in May and reach their minimum in September, whereas Antarctic polynyas expand in November and contract to their smallest extent in February. The polynya formation and development result from a complex interplay of multiple factors, with no single variable fully explaining variations in polynyas’ extent. Additionally, the polynya area in the NOW, and Weddell Sea polynyas, exhibit consistent trends with chlorophyll-a concentration, highlighting their role as critical habitats for primary productivity in polar regions. These findings provide key insights into polynya dynamics and their broader implications for climate and ecological processes in polar regions.
Source: Remote Sensing
DOI: 10.3390/rs17071213
Authors: Kun Yang, Jin Wu, Haiyan Li, Fan Xu, Menghao Zhang
Language: English
Subfield: Atmospheric Science
Field: Earth and Planetary Sciences
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $3,258
Awards: G1892020516, G6029211041, G6184622749
OpenAlex ID: W4408990365
