Introduction
ERA5 (ECMWF Reanalysis 5th Generation) reanalysis data is the most recent, global weather dataset covering the time-period from 1950 until today. The data is obtained by combining a numerical weather prediction model with empirical observations (4DVar data assimilation in CY41R2 of ECMWFs IFS). It contains estimates of atmospheric variables, such as air temperature, pressure, and wind, as well as surface variables such as rainfall and soil moisture. The meteorological variables are available with hourly temporal resolution on a global data grid with approximate horizontal resolution of 31km and 137 vertical model levels.
For more information, please see the ECMWFs documentation of ERA5: https://confluence.ecmwf.int/display/CKB/ERA5%3A+data+documentation
Met.3D is a recently developed software for visual analysis of meteorological simulation data. The visualization tool is specifically adapted for exploiting the computational power of GPUs for allowing interactive 3-dimensional visual exploration of large, gridded meteorological simulation data. Met.3D can be used for interactive visual exploration of meteorological phenomena in ERA5. Available methods for visual data exploration include: (i) sliding of horizontal and vertical cross-sections through data-cubes, (ii) computation of 3-D isosurfaces with interactive variation of isovalues, (iii) direct volume rendering of clouds using raycasting, (iv) flow visualization via wind barbs and trajectories. Different to widely-used visualization software packages, Met.3D allows visual data exploration at interactive frame-rates, enabling you to quickly discover interesting features and explore system dependencies.
For more information, please see: https://met3d.wavestoweather.de/documentation.html