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like Paul's cookiecutter but also works for longitudes in the range of [0:360]
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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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sparcs / Software / SPARCDataKit
GNU Lesser General Public License v2.1 onlyA collection of tools for loading, preprocesing, and transforming SPARC LTO station data.
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Paul Gierz / fesom-mesh-interpolation
GNU General Public License v3.0 or laterUpdated -
Build apps for web, Android and iOS. Supports identification keys, observation forms, maps, taxonomy and more
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Paul Gierz / change-fesom-mesh-binder
GNU General Public License v3.0 or laterUpdated -
Paul Gierz / fesom-restart-as-input
GNU General Public License v3.0 or laterUpdated -
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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.
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Code and data to perform validation of CryoTEMPO sea ice product with NASA Operation IceBridge Data
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Ice-sheet model SICOPOLIS / SICOPOLIS
GNU General Public License v3.0 onlySICOPOLIS is a dynamic/thermodynamic, large-scale, 3D ice sheet model. Main features: shallow-ice/shallow-shelf approximations, polythermal ice, coded in Fortran, finite differences.
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Paul Gierz / jira_cli
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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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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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