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The aim of the project is to build an open source PV forecast that is free and easy to use.
lang: Jupyter Notebook
stars: 36
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Ocean and sea-ice model analysis tools and examples.
lang: Jupyter Notebook
stars: 43
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Stands for CLIMate ADAptation and is a probabilistic natural catastrophe impact model, that also calculates averted damage (benefit) thanks to adaptation measures of any kind (from grey to green infrastructure, behavioural, etc.).
lang: Jupyter Notebook
stars: 291
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A tool to identify disadvantaged communities due to environmental, socioeconomic and health burdens.
lang: Jupyter Notebook
stars: 118
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A collection of scripted tools developed to inform risk analytics for the World Bank's Country Climate and Development Report risk screening activities.
lang: Jupyter Notebook
stars: 11
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A versatile, dynamic systems-optimization modeling framework developed by the IIASA Energy, Climate, and Environment (ECE) Program since the 1980s.
lang: Jupyter Notebook
stars: 107
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A collection of Python libraries for simulating the irradiation of any point on earth by the sun. It includes code for extremely precise ephemeris calculations.
lang: Jupyter Notebook
stars: 371
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Datasets, code and virtual workspace for the Climate Change ATLAS.
lang: Jupyter Notebook
stars: 80
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Set of tools to calculate degradation responses and degradation related parameters for PV.
lang: Jupyter Notebook
stars: 23
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A library for satellite image processing providing all of the functionality necessary for retrieving, and storing EUMETSAT data.
lang: Jupyter Notebook
stars: 37
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A set of scripts and notebooks that compute and validate tropical cyclone (TC) potential intensity (PI) calculations in Python.
lang: Jupyter Notebook
stars: 64
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Automatic tree crown delineation based on the Detectron2 implementation of Mask R-CNN.
lang: Jupyter Notebook
stars: 134
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nci / Scores
A Python package of mathematical functions for the verification, evaluation and optimisation of forecasts, predictions or models, primarily supporting the meteorological, climatological and geoscientific communities.
lang: Jupyter Notebook
stars: 17
last activity:
Deep learning tools that accelerate the review of motion-triggered wildlife camera images.
lang: Jupyter Notebook
stars: 712
last activity: