Abstract
Abstract. Commercial microwave links (CMLs) in telecommunication networks can provide relevant information for remote sensing of precipitation and other environmental variables, such as path-averaged drop size distribution, evaporation, or humidity. The CoMMon field experiment (COmmercial Microwave links for urban rainfall MONitoring) mainly focused on the rainfall observations by monitoring a 38 GHz dual-polarized CML of 1.85 km path length at a high temporal resolution (4 s), as well as a co-located array of five disdrometers and three rain gauges over 1 year. The dataset is complemented with observations from five nearby weather stations. Raw and pre-processed data, which can be explored with a custom static HTML viewer, are available at https://doi.org/10.5281/zenodo.4923125 (Špačková et al., 2021). The data quality is generally satisfactory for further analysis, and potentially problematic measurements are flagged to help the analyst identify relevant periods for specific study purposes. Finally, we encourage potential applications and discuss open issues regarding future remote sensing with CMLs.
Highlights
Accurate information about precipitation is important for many applications from agriculture to pluvial flooding (Chwala and Kunstmann, 2019)
Datasets of Commercial microwave links (CMLs) attenuation and observations of precipitation microphysics with a high temporal resolution lack the ability to fully tap into this potential and identify current knowledge gaps
The goal of this paper is to publish the unique dataset and documentation of the “CoMMon” (Commercial Microwave links for rainfall MONitoring) experiment, consisting of a 1year-long field campaign in Dübendorf (CH) during which attenuation data from a 38 GHz dual-polarized CML were collected, together with precipitation observations from rain gauges and disdrometers deployed along the CML path in high temporal resolution (Fig. 1a)
Summary
Accurate information about precipitation is important for many applications from agriculture to pluvial flooding (Chwala and Kunstmann, 2019). Commercial microwave links (CMLs) from telecommunication networks represent a promising source of information (Graf et al, 2020; Overeem et al, 2016) as their signals are affected by both liquid and solid precipitation. Datasets of CML attenuation and observations of precipitation microphysics with a high temporal resolution lack the ability to fully tap into this potential and identify current knowledge gaps (see below). The goal of this paper is to publish the unique dataset and documentation of the “CoMMon” (Commercial Microwave links for rainfall MONitoring) experiment, consisting of a 1year-long field campaign in Dübendorf (CH) during which attenuation data from a 38 GHz dual-polarized CML were collected, together with precipitation observations from rain gauges and disdrometers deployed along the CML path in high temporal resolution (Fig. 1a). The fourth section discusses potential future applications of the CoMMon dataset
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