Lobelia has added flexible gif and mp4 time series generation downloads to the CMEMS ocean page linked to by a 'social media' icon next to 'add layers' that also allows iframe embedding (not supported here), tinyUrls and static pngs.
Uniq has already posted excellent examples on the main and test forums. Lobelia-CMEMS is a very important new resource for the Arctic Ocean but over the last six weeks only 2-3 of the 1795 site registrants have used it. As is said about the lottery, you can't win if you don't play.
Below, grayscale palette gif output from Lobelia has been run through ImageJ, Gimp and CloudConvert to add some graphic refinements, notably for freedom to change palette to an arbitrary LUT, move the date to a better place, recolor ocean blue, crop, rotate to Greenland down, overlay the Polarstern drift path and so on.
The mp4 shows 84 days of ice thickness as modeled by nextSim from Sept 15th out to a predicted Dec 7th. The scale has been set to range over 0-3m which has the effect of not displaying thinner ice optimally; that would require a scale setting of 0-0.5m which would not display the main ice pack at all.
It's not completely clear what the 'floes' and 'leads' actually represent down on the ice as these features are below the resolution of any of the satellite tools used by nextSim. Whatever, they do seem to allow an accurate depiction of ice movement, notably the pick-up in Fram export in mid-November.
The second mp4 shows the full range of 111 weeks contained in the archive. It is a little jumpy but the daily scale would make for quite a large file and the hourly would be way out of bounds.
The third mp4 shows ice thickness for the full year of the Mosaic expedition restricted to the Svalbard area to emphasize the vigorous TransPolar Drift and Fram export compared to the virtual lack so far this season. The file size is still quite small meaning 2x the dimensions would be about 8 MB.
These mp4 were initially made as gifs where resolution is better (because mp4 involves lossy compression). After loading and study of most effective frame rate in ImageJ, 'hourly' can easily be changed to 'six hourly' or daily' can to 'every other day' etc. This avoids choice limitations in the Lobelia panel. However, ordering more frames slows down product delivery which is a lot slower now than Nasa's WorldView.
"The Arctic Sea Ice Analysis and Forecast system uses the neXtSIM stand-alone sea ice model running the Maxwell-Elasto-Brittle sea ice rheology on an adaptive triangular mesh of 10 km average cell length. The model is available
back to 01 Nov 2018.
neXtSIM uses surface atmosphere forcings from the ECMWF (European Centre for Medium-Range Weather Forecasts) and ocean forcings from TOPAZ4, the ARC MFC PHY NRT system (002_001a). neXtSIM runs daily, assimilating OSI-SAF sea ice concentrations (both SSMI and AMSR2) from the SI TAC and providing 7-day forecasts.
The output variables are the ice concentrations, ice thickness, ice drift velocity and snow depths, provided at hourly frequency. The adaptive Lagrangian mesh is interpolated for convenience on a 3 km resolution regular grid in a Polar Stereographic projection. The projection is identical to other ARC MFC products."
https://tinyurl.com/yxfwhpkbA Maxwell elasto-brittle rheology for sea ice modelling
V Dansereau et al 01 Jul 2016
https://tc.copernicus.org/articles/10/1339/2016/tc-10-1339-2016.pdf free full text
https://en.wikipedia.org/wiki/Dashpot Maxwell 1867 key feature of viscoelastic model
A new rheological model is developed that builds on an elasto-brittle (EB) framework used for sea ice and rock mechanics, with the intent of representing both the small elastic deformations associated with fracturing processes and the larger deformations occurring along the faults/leads once the material is highly damaged and fragmented. A viscous-like relaxation term is added to the linear-elastic constitutive law together with an effective viscosity that evolves according to the local level of damage of the material, like its elastic modulus.
The coupling between the level of damage and both mechanical parameters is such that within an undamaged ice cover the viscosity is infinitely large and deformations are strictly elastic, while along highly damaged zones the elastic modulus vanishes and most of the stress is dissipated through permanent deformations. A healing mechanism is also introduced, counterbalancing the effects of damaging over large timescales.
In this new model, named Maxwell-EB after the Maxwell rheology, the irreversible and reversible deformations are solved for simultaneously; hence drift velocities are defined naturally. First idealized simulations without advection show that the model reproduces the main characteristics of sea ice mechanics and deformation: strain localization, anisotropy, intermittency and associated scaling laws.
The availability of ice buoy and satellite data has allowed three all-important characteristics of the deformation of sea ice to be revealed: its strong localization in space (heterogeneity), its localization in time (intermittency) and its anisotropy.
The anisotropic nature of sea ice deformation is made evident by the analysis of satellite-imagery derived ice motion products which shows that high strain rates concentrate along oriented, linear-like faults, or leads, often termed “linear kinematic features” (Kwok, 2001). The signature of the strong heterogeneity and intermittency of sea ice deformation is the emergence of spatial and temporal scalings in the deformation fields over a wide range of scales.