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    A new Python tool, ASAP, automates atmospheric remote sensing measurements. It enables flexible scheduling based on time, solar/lunar angles, and weather, improving data collection for Fourier transform interferometers.

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    Area of Science:

    • Atmospheric remote sensing
    • Geophysics
    • Environmental monitoring

    Background:

    • Atmospheric remote sensing instruments like spectrometers and interferometers often require complex scheduling based on external factors such as time and solar zenith angle.
    • Existing software, such as Bruker's OPUS, lacks the flexibility for automated, repeated atmospheric measurements.
    • There is a need for a more adaptable solution to manage data acquisition for remote sensing networks.

    Purpose of the Study:

    • To introduce ASAP, a novel Python tool designed for automated atmospheric remote sensing.
    • To provide a flexible and user-friendly solution for scheduling measurements from Fourier transform interferometers.
    • To enhance the efficiency and reliability of atmospheric data collection in remote locations.

    Main Methods:

    • Development of ASAP, a Python-based software tool with a graphical user interface.
    • Implementation of automated scheduling capabilities based on time, lunar zenith angle, and solar zenith angle.
    • Integration of external parameter considerations, such as weather conditions, into the measurement scheduling.

    Main Results:

    • ASAP successfully enables automated, time- and angle-dependent scheduling of atmospheric measurements.
    • The tool supports a network of Fourier transform interferometers in New Zealand and Antarctica.
    • ASAP offers a range of functions within an accessible graphical user interface.

    Conclusions:

    • ASAP provides a flexible and automated solution for atmospheric remote sensing, overcoming limitations of existing software.
    • The tool enhances the capability for continuous and condition-aware data collection from interferometric instruments.
    • ASAP is available on request, offering a valuable resource for researchers in atmospheric science and related fields.