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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

scripts for pre- and postprocessing

Atmospheric correction of EnMAP hyperspectral data for water surfaces

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.

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!

The OGC Web Processing Service (WPS) Web Processing Service interface standard provides rules for standardizing how inputs and outputs (requests and responses) for invoking geospatial processing services as a web service.

Parsing and quality control of data files from Ferra Dynamics EM-Birds

python toolbox to process sea ice thickness data measured with a Geophex GEM-2 (requires sitem1d)

python implementation of 1D transformation of EM data to sea-ice thickness

Build apps for web, Android and iOS. Supports identification keys, observation forms, maps, taxonomy and more