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

🎏 🚀 wind-layer | a openlayers && maptalks && amap && bmap && leaflet && mapbox-gl && maplibre-gl extension like windy.com for weather visualization

Example notebooks showing how to work with ECMWF services and data

🚁extend functionality of Windy.com. Develop your plugin in less than 5 minutes.

Python package for downloading ECMWF reanalysis data and converting it into a time series format.

Agro-meteorological Forecasting INDices

Python package to fetch, process and store numercial weather predictions from different providers.

A flask app which provides the GEOGloWS REST data services

Remote Sensing data - Earth observation data

GRIB interface for R using ECMWF ecCodes

Implemented RNN with LSTM to predict queries for retrieving weather data from the ECMWF. The study investigated data pre-processing, hyperparameter tuning, model, architecture and training. The model achieved 91% accuracy. The work will significantly reduce large data fetching latency from tape systems which are slow unlike disk drives

Interactive GUI (developed in Python) for calibration and conditional verification of numerical weather prediction model outputs.

Download ERA5 data from ECMWF's CDS (climate data store). ERA5 is the fifth generation ECMWF reanalysis for the global climate and weather for the past 8 decades. Data is available from 1940 onwards.

Plotting layouts for ECMWF Magics

This is the source code belonging to the Machine Learning and Artificial Intelligence challenge #25 of the ECMWF Summer of Weather Code 2020 programme. Goal of the challenge is to build an easy to use Conversational Virtual Assistant for ECMWF and C3S's users.

Runs streamflow forecasts using ECMWF predicted runoff and RAPID (Forked from: https://github.com/CI-WATER/erfp_data_process_ubuntu_aws).

Web app for displaying streamflow predictions using a GIS based interface (Forked from: https://github.com/CI-WATER/tethysapp-erfp_tool).

Easy access to the European PostProcessing Benchmark data sets in R.

A simple bias correction of temperature, dew point, and 10m wind speeds for the GFS, HRRR, and ECMWF models for two US locations.

ECMWF Summer of Weather Code 2020 challenges