Recipes for reproducing Analysis-Ready & Cloud Optimized (ARCO) ERA5 datasets.

atlite: A Lightweight Python Package for Calculating Renewable Power Potentials and Time Series

Functions and Python scripts to ingest ERA5 data into Google Earth Engine

A large compression model for weather and climate data, which compresses a 400+ TB ERA5 dataset into a new 0.8 TB CRA5 dataset.

Python-based Atmospheric Phase Screen

Visualization and postprocessing of the WRF and ERA5 data

TopoPyScale: a Python library to perform simplistic climate downscaling at the hillslope scale

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

Benchmarking tools for applying AI/ML to data assimilation

Download, and create ERA5 data forcing for ROMS

Open source software for predicting solar high altitude balloon (SHAB) trajectories

Download any data from https://cds.climate.copernicus.eu/datasets faster using parallel processing. Climate Data Store/ Copernicus website/ Climate change service dataset. This article introduces a parallelized Python workflow that allows you to download ERA5 data significantly faster and HPC-compatible.

This Python script automates the retrieval and visualization of tropospheric NO2 data from Sentinel-5P satellite's TROPOMI instrument, enabling efficient monitoring of atmospheric pollution patterns through automated data processing and visualization.

An ERA5-based hourly global pressure, temperature, and relative humidity model

Global positioning by atmospheric pressure

Concurrent CDS API downloader with a textual TUI, script mode, and Python library interface.

Student project - Soil Moisture Dynamics Forecasting Supported with Neural Networsks

DPhil project: Extreme value theory and GANs to generate compound coastal hazards (wind speed + sea level pressure) from ERA5 reanalysis data over the Bay of Bengal. In development...

Canada Wildfire Prediction Using Deep Learning

Lake surface water evaporation modeling using remote-sensed water quality parameters (CHL, CDOM, TSM, temperature) and Bayesian-optimized LSTM/GRU hybrids validated against Penman-FAO.

Main repo tracking/including early CANARI-ML work

Deep Learning for land, oceanic and atmospheric climate variable forecasts

ViViT based model for short-term wind prediction using ERA5 reanalysis data.

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.

Automatic Lidar and Ceilometer Processing Framework (ALCF)

RL-HAB is an open-source high altitude balloon (HAB) reinforcement learning simulation environment for training autonomous HAB agents.

WRF model initializer with Shiny

Repository to download, process, and visualize local climate data from ERA5

ERA5 provides hourly estimates of a large number of atmospheric, land and oceanic climate variables. The data cover the Earth on a 30km grid and resolve the atmosphere using 137 levels from the surface up to a height of 80km. ERA5 includes information about uncertainties for all variables at reduced spatial and temporal resolutions.