### Overview The SUNWELL Modelling Environment is a combination of data and code that models electricity production from satellite-derived irradiance data and other spatial data sets for all of Switzerland. This ensemble accompanies the publication "The bright side of PV production in snow-covered mountains", published in the Proceedings of the National Academy of Science and reproduces all results and figures of. Code and resources are in their original form (with documentation). A new version with a more generalized application to PV modelling and with more flexibility in terms of input and output formats will be released in the coming months. ### Format All code is written and has to be executed in Matlab. The input and output data sets are also in the Matlab-specific .mat format. Whenever publicly available, the original data is provided as geotif, .xlsx or other common format. This is the case for: - Digital Elevation Model (InputsFromMatlab/MSG/OriginalData/ASTERDEM), - Landsurface cover type (InputsFromMatlab/MSG/OriginalData/CORINE), - Population Density (InputsFromMatlab/MSG/OriginalData/popdensRaster, - Electricity production from three of our validation sites (/Validation/WSL), - Measured irradiance for two validation sites (/Validation/ASRB) The ‘Metadata’ documents in the respective folders provide further information about the data sources and processing. Figures are produced either in .pdf or .png format. ### Structure The central level of the SUNWELL environment holds the 5 Mains, which run the different modelling aspects of the paper; each code is documented separately. Additional code is located in the __‘DataProcessing’__ and the __‘functions’__ folder. Functions are called in the different Mains. __‘InputsFromMatlab’__ contains the radiation and albedo input data sets in separate subfolders (SIS/SISDIR/ALB). The original data is not publicly available, but can be requested for research purposes free of charge. We provide a processed subset of the data set that was used to run the SUNWELL simulations. The MSG subfolder contains additional spatial input data sets. __‘Outputs’__ contains the output files from the different mains (matching names, Main_CHallpixels.m  Prod_CHallpixels) __‘Publication_figures’__ contains all individual figures from the PNAS publication, as well as the generating code (/code_plot) and the power point figures (/ppts) that provide the combined final figures. __‘Validation’__ contains the data sets used in the model validation: - Electricity production from three of our validation sites (/WSL), - Measured irradiance for two validation sites (/ASRB) __Electricity__ production from a validation site at Lac des Toules in Wallis (/LDT), this data set was provided under an NDA and cannot be made publicly available. __Paper Citation:__ > _Annelen Kahl; Jérôme Dujardin; Michael Lehning (2018). Dataset on PV Production in Snow Covered Mountains. PNAS - Proceedings of the National Academy of Sciences. (in press)_