Sea ice satellite and model data between October 2014 and December 2015

• Main Author: Duarte, Pedro
• Format: Dataset
• Language: English
• Published: Zenodo 2021
• Subjects: Sea ice concentration, sea ice thickness, snow thickness, Sea ice modeling; Arctic; Arctic Ocean; Svalbard; North Atlantic; Sea ice
• Online Access: https://dx.doi.org/10.5281/zenodo.5800110; https://zenodo.org/record/5800110

These images contain monthly averages for Arctic sea ice concentration and thickness between October 2010 and December 2015 from two simulations, one with the TOPAZ4 ocean-sea ice data assimilation system (Sakov et al., 2012 and https://resources.marine.copernicus.eu/?option=com_csw&view=details&product_id=ARCTIC_REANALYSIS_PHYS_002_003) and another with the S4K Arctic regional model. Image names are self-explanatory. Images with S4K results include a rectangle delimiting S4K domain, inserted in the larger TOPAZ4 domain. This was done to emphasize the transition between the two models, where the latter provides the boundary conditions to the former. : {"references": ["Sakov, P., Counillon, F., Bertino, L., Lisaeter, K. A., Oke, P. R., and Korablev, A.: TOPAZ4: an ocean-sea ice data assimilation system for the North Atlantic and Arctic, Ocean Sci, 8, 633-656, doi:10.5194/os-8-633-2012, 2012.", "Dinessen, F., Hackett, B.; Product user manual for regional high resolution sea ice charts Svalbard region SEAICE_ARC_SEAICE_L4_NRT_OBSERVATIONS_011_002 (version 2.3). Copernicus. https://cmems-resources.cls.fr/documents/PUM/CMEMS-OSI-PUM-011-002.pdf, 2016.", "Hendricks, S. and Ricker, R.: Product User Guide & Algorithm Specification: AWI CryoSat-2 Sea Ice Thickness (version 2.3), https://epic.awi.de/id/eprint/53331/, 2020.", "Ricker, R., Hendricks, S., Kaleschke, L., Tian-Kunze, X., King, J., and Haas, C.: A weekly Arctic sea-ice thickness data record from merged CryoSat-2 and SMOS satellite data, The Cryosphere, 11, 1607-1623, https://doi.org/10.5194/tc-11-1607-2017, 2017."]}