English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

. In the Arctic, multi-year sea ice is being rapidly replaced by seasonal sea ice. Baffin Bay, situated between Greenland and Canada, is part of theseasonal ice zone. In this study, we present a long-term multi-mission assessment (2003–2020) of spring sea ice thickness in Baffin Bay fromsatellite altimetry and sea ice charts. Sea ice thickness within Baffin Bay is calculated from Envisat, ICESat, CryoSat-2, and ICESat-2 freeboardestimates, alongside a proxy from the ice chart stage of development that closely matches the altimetry data. We study the sensitivity of sea icethickness results estimated from an array of different snow depth and snow density products and methods for redistributing low-resolution snow dataonto along-track altimetry freeboards. The snow depth products that are applied include a reference estimated from the Warren climatology, a passivemicrowave snow depth product, and the dynamic snow scheme SnowModel-LG. We find that applying snow depth redistribution to represent small-scalesnow variability has a considerable impact on ice thickness calculations from laser freeboards but was unnecessary for radar freeboards. Decisionson which snow loading product to use and whether to apply snow redistribution can lead to different conclusions on trends and physicalmechanisms. For instance, we find an uncertainty envelope around the March mean sea ice thickness of 13 % for different snow depth/densityproducts and redistribution methods. Consequently, trends in March sea ice thickness from 2003–2020 range from −23 to 17 cm per decade,depending on which snow depth/density product and redistribution method is applied. Over a longer timescale, since 1996, the proxy ice chartthickness product has demonstrated statistically significant thinning within Baffin Bay of 7 cm per decade. Our study provides further evidencefor long-term asymmetrical trends in Baffin Bay sea ice thickness (with −17.6 cm per decade thinning in the west and10.8 cm per decade thickening in the east of the bay) since 2003. This asymmetrical thinning is consistent for all combinations of snowproduct and processing method, but it is unclear what may have driven these changes.

Impacts of snow data and processing methods on the interpretation of long-term changes in Baffin Bay early spring sea ice thickness