Explore projects
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Python module of Uwe Zenker (WERUM Software & Systems AG) to connect to and query AWI Datapool (Hadoop system) on behalf of the AWI Data Centre. Access near realtime data, DSHIP data and PANGAEA data warehouse in one go!
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MESH / meshtools-creator
MIT LicenseUpdated -
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)
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Work Package 1.2 Phase Space Experiments focusing on MIS 3.
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Paul Gierz / change-fesom-mesh-binder
GNU General Public License v3.0 or laterUpdated -
ESM-tools (Legacy) / ESM Runscripts Legacy
GNU General Public License v2.0 or laterLegacy version of ESM-Runscripts (v2.0)
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Python implementation of a live data read from the Velodyne-HDL-32E LiDAR sensor. The program is capable to read from pcap files and translate to txt files, and point cloud format. Furthermore it provides a live data read out in XYZ coordinates.
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Sea Ice Thickness from Earth Observation data / ESA CryoTEMPO / Waveform zero-padding interpolation
MIT LicenseExample notebook testing waveform interpolation in the frequency domain with zero-padding and comparing the results to the current TFMRA implementation in pysiral.
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Paul Gierz / fesom-mesh-interpolation
GNU General Public License v3.0 or laterUpdated -
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
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Brian Groenke / WeatherGen
MIT LicenseUpdated -
Investigation of trend sensitivity in SPARC (and other) borehole sites via numerical modeling.
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SMOS-derived Antarctic thin sea-ice thickness from 2010 to 2020: data description and validation in the Weddell Sea
Code and data for figures and statistics used in the ESSD paper with the same title.
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