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An ncview-like GUI with psyplot

The psyplot plugin for visualizations on a map

Graphical User Interface for the psyplot package

Presentations / Talks about the Helmholtz-AAI

Modular System for Shelves and Coasts

A template for a django app on top of the django-academic-community portal (DJAC)

An end-to-end encryption framework for Django

Documentation

Sphinx extension for the model data explorer

Central entrypoint for the documentation of the model data explorer and it's workflows.

https://model-data-explorer.readthedocs.io

Extpar interface to create external data set for a COSMO-CLM simulation area.

Documentation | CLM-Community Portal

Prototype development of the Model Data Explorer

https://model-data-explorer.readthedocs.io/projects/prototype

Python package for interactive data visualization

Viable North Sea (ViNoS) is an Agent-based Model (ABM) of the German Small-scale Fisheries. As a Social-Ecological Systems (SES) model it focusses on the adaptive behaviour of fishers facing regulatory, economic, and resource changes. Small-scale fisheries are an important part both of the cultural perception of the German North Sea coast and of its fishing industry. These fisheries are typically family-run operations that use smaller boats and traditional fishing methods to catch a variety of bottom-dwelling species, including plaice, sole, and brown shrimp.

Fishers in the North Sea face area competition with other uses of the sea---long practiced ones like shipping, gas exploration and sand extractions, and currently increasing ones like marine protection and offshore wind farming (OWF). German authorities have just released a new maritime spatial plan implementing the need for 30% of protection areas demanded by the United Nations High Seas Treaty and aiming at up to 70 GW of offshore wind power generation by 2045. Fisheries in the North Sea also have to adjust to the northward migration of their established resources following the climate heating of the water. And they have to re-evaluate their economic balance by figuring in the foreseeable rise in oil price and the need for re-investing into their aged fleet.