This workflow focuses on enhancing spatial interpolation of meteorological variables by incorporating altitude. The process involves importing geolocated meteorological data from shapefiles, downloading a Digital Elevation Model (DEM) for elevation data, and utilizing 3D Kriging for interpolation. This method improves the accuracy of meteorological data interpolation across various elevations, providing comprehensive spatial coverage. Key components include precise data import, effective DEM integration, and accurate 3D Kriging, addressing scientific questions about data import precision, DEM integration, Kriging accuracy, and spatial coverage enhancement. Background Interpolating geolocated meteorological variables is crucial for obtaining comprehensive insights into environmental conditions. This workflow, comprising three components, focuses on importing shapefile data containing geolocated meteorological variables. The primary objective is to perform a 3D interpolation, considering altitude as a significant factor. To achieve this, the workflow downloads a Digital Elevation Model (DEM) to incorporate elevation information and utilizes 3D Kriging for interpolation. Introduction Interpolating meteorological variables in geospatial datasets is essential for understanding environmental conditions. This workflow aims to enhance the accuracy of such interpolations by importing shapefile data, obtaining elevation data from a DEM, and performing a 3D interpolation using Kriging. The resulting dataset provides interpolated meteorological values for locations not covered by the original sampling. Aims The primary aim of this workflow is to achieve accurate 3D interpolation of meteorological variables, considering altitude, to enhance spatial coverage. The workflow includes the following key components: ∙Shapefile Data Import: Imports geolocated meteorological variables from a shapefile, preparing the data for 3D interpolation. ∙Digital Elevation Model (DEM) Download: Downloads a Digital Elevation Model (DEM) to obtain elevation information for the interpolation process. ∙3D Kriging Interpolation: Utilizes 3D Kriging to interpolate meteorological variables, incorporating altitude information for enhanced accuracy. Scientific questions ∙Data Import Precision: How precise is the workflow in importing geolocated meteorological variables from the shapefile data? ∙DEM Download and Integration: How effectively does the workflow download the DEM and integrate elevation information into the interpolation process? ∙3D Kriging Accuracy: How accurate is the 3D Kriging interpolation in providing reliable meteorological values, considering altitude as a key factor? ∙Enhancement of Spatial Coverage: To what extent does the 3D interpolation process enhance spatial coverage, providing interpolated values for locations not originally sampled?