atlite: A Lightweight Python Package for Calculating Renewable Power Potentials and Time Series
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Updated
Nov 1, 2025 - Python
atlite: A Lightweight Python Package for Calculating Renewable Power Potentials and Time Series
The Super-Resolution for Renewable Resource Data (sup3r) software uses generative adversarial networks to create synthetic high-resolution wind and solar spatiotemporal data from coarse low-resolution inputs.
Functions and Python scripts to ingest ERA5 data into Google Earth Engine
A collection of bias correction techniques written in Python - for climate sciences.
Python utilities for downloading NASA MERRA2 data in NetCDF
A streamlined workflow for processing daily ensemble mean SWE from the HMA-SR dataset, focused on catchment-scale analysis.
[Insight Data Engineering project] A climate data warehouse that enables the immediate analysis of large climate datasets without data preparation.
Python library to download, stack, and manipulated atmospheric reanalyses.
Utilities to preprocess ERA5 forecast data into clean, consistent formats for modeling, machine learning, or climate analysis.
Python application for downloading meteorological reanalysis data
Scripts to calculate global 3D aerosol optical properties from MERRA-2 concentrations. Used for example as climate model forcing fields. Generated data repository cf link below.
Inheritance tax as a proxy for all taxation? Ideology and tax rates post WW2?
Experimental Design : ReAnalysis of Enos and Fowler's Stratified Randomized Experiment
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