Explore projects

Scripts and configuration files to process ALS data from MOSAiC both with als_level1b_seaice (IDL Level-1b processor) and awi-als-toolbox (python code for high level data products)

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

Code for Parallel Coupling Infrastructure

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

Various snippets that may come in handy

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).

core2 mesh for FESOM2.

Proportional Analysis of Surface Types in Arctic Sea Ice Images

Legacy version of esm-master (v. 2.0)

Legacy version of ESM Environment (v2.0)

Legacy version of ESM-Runscripts (v2.0)

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.

This project contains the necessary code to perform the FESOM benchmark tasks for HLRE5.