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Set of tools to calculate degradation responses and degradation related parameters for PV.
lang: Jupyter Notebook
stars: 42
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Data Analysis and Visualization in Python for Ecologists.
lang: Jupyter Notebook
stars: 168
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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: 27
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Converts battery testing data from native formats to a standardized HDF5 file.
lang: Jupyter Notebook
stars: 52
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A spectral dynamical core for global atmospheric modeling written in JAX.
lang: Jupyter Notebook
stars: 306
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Aspires to identify key research gaps and opportunities at the intersection of agricultural modelling and machine learning research and support enhanced collaboration and engagement between experts in these disciplines.
lang: Jupyter Notebook
stars: 36
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Hyperspectral and Thermal Remote Sensing for Environmental Justice" program. Participants will gain hands-on experience with hyperspectral and thermal imaging remote sensing technology and its applications for environmental justice issues.
lang: Jupyter Notebook
stars: 5
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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: 138
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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: 115
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Allows you to run any large weather model with a consumer grade GPU.
lang: Jupyter Notebook
stars: 231
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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: 191
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Datasets, code and virtual workspace for the Climate Change ATLAS.
lang: Jupyter Notebook
stars: 99
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Help us build the most accessible and accurate climate tech resource on the planet.
lang: Jupyter Notebook
stars: 84
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A Python package that provides a simple way to use nighttime lights data from NASA's Black Marble project that provides a product suite of daily, monthly and yearly global nighttime lights.
lang: Jupyter Notebook
stars: 50
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This Cookbook is learning-oriented to support scientific researchers using NASA Earthdata from Distributed Active Archive Centers as they migrate their workflows to the cloud.
lang: Jupyter Notebook
stars: 100
last activity: