Articles | Volume 16, issue 17
https://doi.org/10.5194/amt-16-4155-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-16-4155-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Adjustment of 1 min rain gauge time series using co-located drop size distribution and wind speed measurements
Arianna Cauteruccio
CORRESPONDING AUTHOR
Department of Civil, Chemical and Environmental Engineering, University of Genoa, Genoa, 16145, Italy
WMO Measurement Lead Centre “B. Castelli” on Precipitation Intensity, Genoa, 16145, Italy
Mattia Stagnaro
Department of Civil, Chemical and Environmental Engineering, University of Genoa, Genoa, 16145, Italy
Luca G. Lanza
Department of Civil, Chemical and Environmental Engineering, University of Genoa, Genoa, 16145, Italy
WMO Measurement Lead Centre “B. Castelli” on Precipitation Intensity, Genoa, 16145, Italy
Pak-Wai Chan
Hong Kong Observatory, Hong Kong, Hong Kong SAR, China
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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.
Adjustments for the wind-induced bias of traditional rainfall gauges are applied to data from...