The Cryosphere
The Cryosphere
TC
Articles | Volume 15, issue 1
Articles | Volume 15, issue 1
https://doi.org/10.5194/tc-15-169-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-15-169-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 15, issue 1
Research article
 | 
11 Jan 2021
Research article |  | 11 Jan 2021

Ensemble-based estimation of sea-ice volume variations in the Baffin Bay

Chao Min, Qinghua Yang, Longjiang Mu, Frank Kauker, and Robert Ricker

Data sets

The Arctic sea ice drift simulation from October 2010 to Decem- ber 2016 L. Mu, M. Losch, Q. Yang, R. Ricker, S. Losa, and L. Nerger https://doi.org/10.1594/PANGAEA.906973

The Arctic combined model and satellite sea ice thickness (CMST) dataset L. Mu, M. Losch, Q. Yang, R. Ricker, S. Losa, and L. Nerger https://doi.org/10.1594/PANGAEA.891475

Polar Pathfinder Daily 25km EASE-Grid Sea Ice Motion Vectors, Version 4 M. Tschudi, W. N. Meier, J. S. Stewart, C. Fowler, and J. Maslanik https://doi.org/10.5067/INAWUWO7QH7B

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Short summary
An ensemble of four estimates of the sea-ice volume (SIV) variations in Baffin Bay from 2011 to 2016 is generated from the locally merged satellite observations, three modeled sea ice thickness sources (CMST, NAOSIM, and PIOMAS) and NSIDC ice drift data (V4). Results show that the net increase of the ensemble mean SIV occurs from October to April with the largest SIV increase in December, and the reduction occurs from May to September with the largest SIV decline in July.
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