论文信息 - The Venus Climate Database

The Venus Climate Database

Abstract The Venus Climate Database (VCD) is based on the outputs of our state-of-the-art Venus Global Climate Model (GCM) [1-3]. This tool, in the footsteps and spirit of its Martian equivalent, the Mars Climate Database (MCD) [4], is intended to be useful for engineers and scientists wanting to compare with their models, analyze observations or plan future missions. This project is funded by the European Space Agency, in the frame of preliminary studies for the EnVision mission to Venus. Overview of the Venus Climate Database The VCD provides mean values and statistics of the main meteorological variables (atmospheric temperature, density, pressure and winds) as well as atmospheric composition and related physical fields. It extends from the surface up to and including the thermosphere (~250km). The database contains high resolution temporal outputs (using 24 hourly bins) enabling a good representation of the diurnal evolution of quantities over a climatological Venusian day. <img src="data:image/png;base64, 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