launch vehicles. The Profile Envision and Splicing Tool (PRESTO) was developed by the
Marshall Space Flight Center (MSFC) Natural Environments Branch (EV44) to generate
vertically complete atmospheric profiles from various data sources at NASA’s Kennedy
Space Center, co-located on the United States Air Force Eastern Range at the Cape
Canaveral Air Force Station, for NASA’s Space Launch System (SLS) day-of-launch
loads and trajectory analysis. PRESTO was designed solely to generate a vertically
complete atmospheric profile; however, EV44 has also been tasked to provide a quality
assessment of meteorological data. Thus, EV44 developed Weather Analysis Display
(WAND) to visualize data from all available observation systems in conjunction with
climatological databases. WAND can display data from various sources in multiple ways
including Skew-T Log-P plots, time-height cross sections, and time series. WAND was
developed in Python taking advantage of NumPy for data handling, matplotlib and MetPy
for data visualization, and Tkinter for the execution of the graphical user interface. This
paper describes in full detail WAND’s various data visualizations and their Python coding.
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