Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/138479
Title: Data formats and standards for opportunistic rainfall sensors
Authors: Fencl, Martin
Nebuloni, Roberto
Andersson, Jafet C. M.
Bares, Vojtech
Blettner, Nico
Cazzaniga, Greta
Chwala, Christian
Colli, Matteo
de Vos, Lotte
El Hachem, Abbas
Galdies, Charles
Giannetti, Filippo
Graf, Maximilian
Jacoby, Dror
Habi, Hai Victor
Musil, Petr
Ostrometzky, Jonatan
Roversi, Giacomo
Sapienza, Fabiola
Seidel, Jochen
Spackova, Anna
van de Beek, Remco
Walraven, Bas
Wilgan, Karina
Zheng, Xin
Keywords: Rain and rainfall -- Measurement -- Remote sensing
Rain and rainfall -- Measurement
Satellite meteorology
Artificial satellites in remote sensing
Hydrology -- Remote sensing
Issue Date: 2024
Publisher: COST Action OpenSense
Citation: Fencl, M., Nebuloni, R., Andersson, J. C., Bares, V., Blettner, N., Cazzaniga, G., ... & Zheng, X. (2024). Data formats and standards for opportunistic rainfall sensors. Open Research Europe, 3, 169.
Abstract: Opportunistic sensors are increasingly used for rainfall measurement. However, their raw data are collected by a variety of systems that are often not primarily intended for rainfall monitoring, resulting in a plethora of different data formats and a lack of common standards. This hinders the sharing of opportunistic sensing (OS) data, their automated processing, and, at the end, their practical usage and integration into standard observation systems. This paper summarises the experiences of the more than 100 members of the OpenSense Cost Action involved in the OS of rainfall. We review the current practice of collecting and storing precipitation OS data and corresponding metadata, and propose new common guidelines describing the requirements on data and metadata collection, harmonising naming conventions, and defining human-readable and machine readable file formats for data and metadata storage. We focus on three sensors identified by the OpenSense community as prominent representatives of the OS of precipitation: Commercial microwave links (CML): fixed point-to-point radio links mainly used as backhauling connections in telecommunication networks Satellite microwave links (SML): radio links between geostationary Earth orbit (GEO) satellites and ground user terminals. Personal weather stations (PWS): non-professional meteorological sensors owned by citizens. The conventions presented in this paper are primarily designed for storing, handling, and sharing historical time series and do not consider specific requirements for using OS data in real time for operational purposes. The conventions are already now accepted by the ever growing OpenSense community and represent an important step towards automated processing of OS raw data and community development of joint OS software packages.
URI: https://www.um.edu.mt/library/oar/handle/123456789/138479
Appears in Collections:Scholarly Works - InsESEMP

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