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This is the latest branch of the MATLAB code to process data from the ROV system BEAST. It is specifically adapted to the processing of MOSAiC data.

Processing library for airborne laser scanner sensor data specialised on sea ice applicrations. Based on IDL and a fork of als_level1b with a tailored workflow for sea ice applications and a command-line interface (no GUI).

Code for Parallel Coupling Infrastructure

Utilities that may be useful for technically diagnosing the model (model crashes, resetting after common errors)

Investigation of trend sensitivity in SPARC (and other) borehole sites via numerical modeling.

Experiments designed to determine the influence of processor partitioning on AWI-ESM 2.1 (Variant Beta) Climate

like Paul's cookiecutter but also works for longitudes in the range of [0:360]

SICOPOLIS is a dynamic/thermodynamic, large-scale, 3D ice sheet model. Main features: shallow-ice/shallow-shelf approximations, polythermal ice, coded in Fortran, finite differences.

core2 mesh for FESOM2.

EU project OCEAN:ICE Deliverable: D1.4 Gridded European circumpolar sea ice production fluxes

This deliverable is a new dataset of sea ice production (SIP) in Antarctic coastal polynyas, critical regions for sea ice formation and dense water formation. Using Earth Observation data and atmospheric reanalysis, we use a heat budget method to estimate the SIP. We use sea ice concentration (SIC) from passive microwave sensors and ECMWF ERA5 reanalysis for near-surface wind speed and surface air temperature. Comparison against previous literature shows broad consistency in spatial patterns and magnitude of ice production, with notable variations across larger polynyas. Despite simplifications and thereby increased uncertainties in the absolute ice production values, the data set provides valuable insights into the dynamics and variability of Antarctic polynya SIP for the period 1992-2023.

Citation: Kaleschke, L. (2024). EU project OCEAN:ICE Deliverable: D1.4 Gridded European circumpolar sea ice production fluxes [Data set]. Zenodo. https://doi.org/10.5281/zenodo.11652686