Atlite: A Lightweight Python Package for Calculating Renewable Power Potentials and Time Series
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Updated
Sep 10, 2024 - Python
Atlite: A Lightweight Python Package for Calculating Renewable Power Potentials and Time Series
Recipes for reproducing Analysis-Ready & Cloud Optimized (ARCO) ERA5 datasets.
Functions and Python scripts to ingest ERA5 data into Google Earth Engine
Python package for downloading ECMWF reanalysis data and converting it into a time series format.
A super lightweight Lagrangian model for calculating millions of trajectories using ERA5 data
TopoPyScale: a Python library to perform simplistic climate downscaling at the hillslope scale
Global empirical models for tropopause height determination
This repository contains Python module to calculate backtrajectories using a Lagrangian method based on ERA5 reanalysis data.
Remote Sensing data - Earth observation data
initial release of the superBT - V04 - beta version 0.4
A collection of notebooks demonstrating how to work with ASCAT and ERA5 data.
JSON API to compute mismatch of pressure timeseries with ERA-5 on Google Earth Engine.
This repository is the reproducible code of the paper Data Assimilation using ERA5, ASOS, and the U-STN model for Weather Forecasting over the UK. This paper has been accepted in the NeurIPS 2023 Workshop: Tackling Climate Change with Machine Learning.
A project focused on climate data and tooling for Rio Grande do Sul in Brazil.
Collection of tools to perform timeseries analysis on climate data (Observation and Downscaled)
Gallary of Python programs used to look at stratospheric winds both modeled and observed by Radiosonde observations
A large compression model for weather and climate data, which compresses a 400+ TB ERA5 dataset into a new 0.8 TB CRA5 dataset.
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