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Ocean and sea-ice model analysis tools and examples.
lang: Jupyter Notebook
stars: 42
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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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A tool to identify disadvantaged communities due to environmental, socioeconomic and health burdens.
lang: Jupyter Notebook
stars: 118
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A WUDAPT-to-WRF python tool that injects World Urban Database and Access Portal Tools (WUDAPT)'s Local Climate Zone information into WRF.
lang: Jupyter Notebook
stars: 35
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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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Automatic tree crown delineation based on the Detectron2 implementation of Mask R-CNN.
lang: Jupyter Notebook
stars: 134
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Deep learning tools that accelerate the review of motion-triggered wildlife camera images.
lang: Jupyter Notebook
stars: 668
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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 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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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: 362
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Enables users to obtain time-series of shoreline position at any coastline worldwide from 30+ years of publicly available satellite imagery.
lang: Jupyter Notebook
stars: 621
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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: 36
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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: 267
last activity: