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ASPIRE data and code for machine learned ecRad surrogate models

4TU.ResearchDatavia 4TU.ResearchData (via DataCite) · bijgewerkt 20 oktober 2026

Wat erin zit

Datasets and python code for the training and testing of ecRad surrogate models. The input data is output of the mesoscale atmospheric model ASPIRE and embedded ecRad scheme for 180 scenes in 60 days in 2024. The domain is 240 m x 240 km x 20 km, the horizontal resolution is 2 km x 2 km, and the vertical grid size increases from 50 m at the surface to 100 m at the top of the domain, with a total of 128 vertical levels. A detailed description can be found in the readme.txt file.

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