Particle tracking and Lagrangian statistics related to: "Significant interannual variability and potential predictability of Arctic surface drift pathways"

• Main Authors: Wilson, Chris, Aksenov, Yevgeny, Rynders, Stefanie, Kelly, Stephen, Krumpen, Thomas, Coward, Andrew C.
• Format: Dataset
• Language: English
• Published: Zenodo 2020
• Subjects: Arctic; ice; ocean; surface; drift; particle; Lagrangian; flow; coherent; structure; predictability; dispersion; pollution; polar; NEMO; ARIANE; IceTrack; MOSAiC; APEAR; CAO; Archer; Arctic Ocean; Sea ice
• Online Access: https://dx.doi.org/10.5281/zenodo.1118998; https://zenodo.org/record/1118998

These files are related to a study of surface drift in the Arctic ocean. See the accompanying journal paper for more info or contact Chris Wilson ([e-mail]). More details are given in README.txt. : Acknowledgements This work resulted from the Advective Pathways of nutrients and key Ecological substances in the Arctic (APEAR) project (NE/R012865/1, NE/R012865/2), part of the Changing Arctic Ocean programme, jointly funded by the UKRI Natural Environment Research Council (NERC) and the German Federal Ministry of Education and Research (BMBF). This work also used the ARCHER UK National Supercomputing Service and JASMIN, the UK collaborative data analysis facility. Satellite-based sea ice tracking was carried out as part of the Russian-German Research Cooperation QUARCCS funded by the German Ministry for Education and Research (BMBF) under grant 03F0777A. This study was carried out as part of the international Multidisciplinary drifting Observatory for the Study of the Arctic Climate (MOSAiC) with the tag MOSAiC20192020 (AWI_PS122_1 and AF-MOSAiC-1_00).