Future precipitation-observing systems must deliver observed data within a short duration, called observation data latency, to detect potential hazards such as floods. This study performs a tradespace analysis to study the effect of ground station network selection on data latency for precipitation-observing missions using the GEOS-5 Nature Run data set as a convective storm environmental model. We develop a methodology that simulates storm observation and downlink opportunities between a constellation of satellites and a ground station network. An application case considers a Walker-delta satellite constellation with ground station locations based on a commercial network. The model computes the 95th percentile data latency of observed storms as a key performance metric. Results show that adding a ground station in New Zealand reduces the data latency distribution to a real-time level for all storms. Sensitivity analysis shows that orbital parameters such as inclination and altitude have a more substantial influence on the data latency than the sensor field of regard or the number of satellites.


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    Titel :

    Analysis of Ground Network Selection for Data Latency in Precipitation-observing Space Missions


    Beteiligte:
    Tapia, Josue I. (Autor:in) / Grogan, Paul T. (Autor:in)


    Erscheinungsdatum :

    2023-03-04


    Format / Umfang :

    734893 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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