Datasets for "A holistic framework to estimate the origins of atmospheric moisture and heat using a Lagrangian model"

This repository contains the post-processed model outputs from HAMSTER as used in the publication "A holistic framework to estimate the origins of atmospheric moisture and heat using a Lagrangian model" by Jessica Keune, Dominik L. Schumacher, and Diego G. Miralles. The data set contains (1) global validation statistics for the three fluxes (evaporation, precipitation, sensible heat), and (2) the climatological source regions of precipitation and heat for Denver, Beijing and Windhoek. The former are found in the directory 'validation/global', and the latter are found in the directories '1001' (Denver), '3001' (Beijing) and '5002' (Windhoek). Multiple experiments were performed to assess the uncertainty of the source regions. Thus, multiple files exist, that show the same variables but for multiple experiments (indicated by the names "ALLPBL", "RH-10-20", "SOD08-SCH19", "SCH20", "FAS19" in the file name). For the source regions, the uncertainty of the attribution methodology was assessed; these are indicated by the different folders, i.e. 'linear', 'linear_upscaled', 'random' and 'random_upscaled'. For each city and each experiment, the climatologically averaged source regions ('_mean.nc') and the climatologically averaged individual backward day contributions ('_bwmean.nc') are provided. Data sets are in the netCDF format and contain metadata following the CF convention