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A python package for setting up and running ocean model simulations, with a particular focus on marine carbon dioxide removal applications.
lang: Python
stars: 20
last activity:
A Python package for analyzing general circulation model output data.
lang: Python
stars: 253
last activity:
Create a canvas visualization layer for direction and intensity of arbitrary velocities (e.g. wind, ocean current).
lang: JavaScript
stars: 667
last activity:
Calculates the energy consumption of Python scripts by sampling usage statistics from your hardware components.
lang: Python
stars: 92
last activity:
A spatial, large-scale analytical model for simulating forest harvest and it's potential influence on other forest values (e.g., wildlife habitat).
lang: PLpgSQL
stars: 20
last activity:
A philanthropically funded system to help people manage their local marine ecosystems in the face of increasing Ocean temperatures.
lang: TypeScript
stars: 48
last activity:
A lightweight Python-based tool that calculates the optimal time to run a compute job to minimise its carbon intensity enabling environmentally-conscious scheduling.
lang: Python
stars: 77
last activity:
R tools to access open data from Eurostat, the statistical office of the European Union.
lang: R
stars: 254
last activity:
Gives you access to real-time and historical surface-based weather and environmental observations for thousands of stations.
lang: Python
stars: 73
last activity:
An R binding package for calling Google Earth Engine API from within R.
lang: R
stars: 775
last activity:
A Python package which is used to make short term forecasts for the energy sector.
lang: Python
stars: 157
last activity:
A neural network that forecasts precipitation up to 8 hours into the future at the high spatial resolution of 1 km² and at the temporal resolution of 2 minutes with a latency in the order of second.
lang: Python
stars: 302
last activity:
An R Package for NASA's Global Ecosystem Dynamics Investigation (GEDI) Data Visualization and Processing.
lang: R
stars: 184
last activity:
Developed collaboratively and mostly reusing existing open-source components, VEDA consolidates GIS delivery mechanisms, processing platforms, analysis services, and visualization tools and provides an ecosystem of open tools for addressing Earth science research and application needs through the public-facing VEDA Dashboard.
lang: TypeScript
stars: 43
last activity:
Makes it easier to use hydrological models without having intimate knowledge about how to install and run the models.
lang: Python
stars: 39
last activity: