Recipes for reproducing Analysis-Ready & Cloud Optimized (ARCO) ERA5 datasets.
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Updated
Sep 5, 2024 - Python
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
TopoPyScale: a Python library to perform simplistic climate downscaling at the hillslope scale
A super lightweight Lagrangian model for calculating millions of trajectories using ERA5 data
Python package for downloading ECMWF reanalysis data and converting it into a time series format.
A large compression model for weather and climate data, which compresses a 400+ TB ERA5 dataset into a new 0.8 TB CRA5 dataset.
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.
This repository contains Python module to calculate backtrajectories using a Lagrangian method based on ERA5 reanalysis data.
JSON API to compute mismatch of pressure timeseries with ERA-5 on Google Earth Engine.
ERA5 data integration to PyTorch implementation of Ryan Keisler's 2022 "Forecasting Global Weather with Graph Neural Networks" paper (https://arxiv.org/abs/2202.07575)
Global empirical models for tropopause height determination
Collection of tools to perform timeseries analysis on climate data (Observation and Downscaled)
In development: Extreme value theory and GANs to generate compound coastal hazards (wind speed + sea level pressure) from ERA5 reanalysis data over the Bay of Bengal.
Remote Sensing data - Earth observation data
A collection of notebooks demonstrating how to work with ASCAT and ERA5 data.
initial release of the superBT - V04 - beta version 0.4
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