The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/1e7de7ad-c98c-49aa-94cf-62448a70f20a

van Soest, Marleen; de Roode, Stephan; Remco Verzijbergh; Vossepoel, Femke; Jonker, Harm (2024): ASPIRE output files for 30 stratocumulus days in 2023. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/1e7de7ad-c98c-49aa-94cf-62448a70f20a.v1

Dataset

• Renewable Energy
• Atmospheric Sciences
• Atmosphere and Weather
• Earth Sciences
• Energy
• Environment

Data assimilation, Large-eddy simulation (LES), Stratocumulus clouds

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30 days in 2023

CC0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Marleen van Soest , Stephan de Roode , Remco Verzijbergh , Femke Vossepoel , Harm Jonker

Output files of the large eddy simulation (LES) model ASPIRE for 30 stratocumulus days in 2023, with application of the ensemble Kalman filter using various sets of observations for the initial condition, to assess the benefit of data assimilation in LES for forecasting solar radiation during stratocumulus conditions. The domain is 6.4 km x 6.4 km x 6.4 km, the horizontal resolution is 100 m, the vertical grid size increases from 25 m at the surface to 100 m at the top of the domain, with a total of 128 vertical levels. File description can be found in the readme.txt file.

• 2024-10-07 first online, published, posted

4TU.ResearchData

NetCDF

• Renewable Energy Forecasts from Observations and high-Resolution Modeling project (REFORM) (grant code 18657) Dutch Research Council NWO

TU Delft, Faculty of Civil Engineering and Geosciences, Department of Geoscience and Remote Sensing;
Whiffle, Delft