ECMWF real-time forecasts

Tutorials

• A collection of Jupyter Notebooks that make use of the ecmwf-opendata package. This package simplifies the download of ECMWF open data. by ECMWF
  

Tools & Applications

• A package to simplify the download of ECMWF open data. It implements a request-based interface to the dataset using ECMWF's MARS language to select meteorological fields, similar to the existing ecmwf-api-client Python package. by ECMWF
  
• Herbie: A Python package to retrieve NWP data. by Brian Blaylock
  

Publications

• ECMWF makes wide range of data openly available by ECMWF
  

Met Office Global Ensemble Prediction System (MOGREPS-G) on a 30-day rolling archive

Tutorials

• Numerical weather prediction models by Met Office
  
• The Met Office Unified Model by Met Office
  
• What is an ensemble forecast? by Met Office
  

Tools & Applications

• Iris by Iris Contributors
  

Met Office Global and Regional Ensemble Prediction System - UK (MOGREPS-UK) on a 30-day rolling archive

Tutorials

• Numerical weather prediction models by Met Office
  
• The Met Office Unified Model by Met Office
  
• What is an ensemble forecast? by Met Office
  

Tools & Applications

• Iris by Iris Contributors
  

Met Office Global Deterministic 10km on a 2-year rolling archive

Tutorials

• Numerical weather prediction models by Met Office
  
• The Met Office Unified Model by Met Office
  

Tools & Applications

• Iris by Iris Contributors
  

Met Office UK Deterministic (UKV)2km on a 2-year rolling archive

Tutorials

• Numerical weather prediction models by Met Office
  
• The Met Office Unified Model by Met Office
  

Tools & Applications

• Iris by Iris Contributors
  

NASA Earth Exchange Global Daily Downscaled Projections (NEX-GDDP-CMIP6)

Tools & Applications

• NEX-GDDP-CMIP6 Dashboard by NASA
  

Publications

• NASA and ASDI announce no-cost access to important climate dataset on the AWS Cloud by Dr. Manil Maskey and Ana Pinheiro Privette
  
• NASA Global Daily Downscaled Projections, CMIP6 by Thrasher, B., Wang, W., Michaelis, A., Melton, F., Lee, T. and Nemani, R.
  

Danish Meteorological Institute (DMI) Open Data Forecasts

Tutorials

• Guide to processing forecast data with Python by Danish Meteorological Institute
  
  Amazon S3