Published July 15, 2021 | Version v1
Dataset Open

A Hybrid Approach to Atmospheric Modeling that Combines Machine Learning with a Physics-Based Numerical Model

Authors/Creators

  • 1. Texas A&M University

Description

Data used to generate the figures in "A Hybrid Approach to Atmospheric Modeling that Combines Machine Learning with a Physics-Based Numerical Model" 2021. The zip files contains the hybrid forecasts and regridded ERA5 data used to verify the forecasts as well as the SPEEDY-LLR and ML-only runs. 

Files

Files (31.6 GB)

Name Size Download all
md5:1ced413a8e9fb196e19c19db72d3046e
9.2 GB Download
md5:c6d19a81b2263cf0cb8fe1db1a2c14ce
17.9 GB Download
md5:bb3d92417a446af8bf1798da1adb2233
4.5 GB Download