Articles | Volume 16, issue 17
Research article
14 Sep 2023
Research article |  | 14 Sep 2023

Adjustment of 1 min rain gauge time series using co-located drop size distribution and wind speed measurements

Arianna Cauteruccio, Mattia Stagnaro, Luca G. Lanza, and Pak-Wai Chan

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Cited articles

Caracciolo, C., Porcù, F., and Prodi, F.: Precipitation classification at mid-latitudes in terms of drop size distribution parameters, Adv. Geosci., 16, 11–17,, 2008. 
Cauteruccio, A. and Lanza, L. G.: Parameterization of the collection efficiency of a cylindrical catching-type rain gauge based on rainfall intensity, Water, 12, 3431,, 2020. 
Cauteruccio, A., Brambilla, E., Stagnaro, M., Lanza, L. G., and Rocchi, D.: Wind tunnel validation of a particle tracking model to evaluate the wind-induced bias of precipitation measurements, Water Resour. Res., 57, e2020WR028766,, 2021a. 
Cauteruccio, A., Brambilla, E., Stagnaro, M., Lanza, L. G., and Rocchi, D.: Experimental evidence of the wind-induced bias of precipitation gauges using Particle Image Velocimetry and particle tracking in the wind tunnel. J. of Hydrol., 600, 126690., 2021b. 
Cauteruccio, A., Chinchella, E., Stagnaro, M., and Lanza, L. G.: Snow particle collection efficiency and adjustment curves for the hotplate precipitation gauge, J. Hydrometeor., 22, 941–954,, 2021c. 
Short summary
Adjustments for the wind-induced bias of traditional rainfall gauges are applied to data from the Hong Kong Observatory using numerical simulation results. An optical disdrometer allows us to infer the collection efficiency of the rainfall gauge. Due to the local climatology, adjustments are limited but result in a significant amount of available freshwater resources that would be missing from the calculated hydrological budget of the region should the adjustments be neglected.