Comparison of three types of laser optical disdrometers under natural rainfall conditions.

Autor: Johannsen LL; Department of Water, Atmosphere and Environment, University of Natural Resources and Life Sciences, Vienna, Austria., Zambon N; Department of Water, Atmosphere and Environment, University of Natural Resources and Life Sciences, Vienna, Austria., Strauss P; Institute of Land and Water Management Research, Petzenkirchen, Austria., Dostal T; Faculty of Civil Engineering, Czech Technical University in Prague, Prague, Czech Republic., Neumann M; Faculty of Civil Engineering, Czech Technical University in Prague, Prague, Czech Republic., Zumr D; Faculty of Civil Engineering, Czech Technical University in Prague, Prague, Czech Republic., Cochrane TA; Department of Civil and Natural Resources Engineering, University of Canterbury, Christchurch, New Zealand., Blöschl G; Institute of Hydraulic Engineering and Water Resources Management, Vienna University of Technology, Vienna, Austria., Klik A; Department of Water, Atmosphere and Environment, University of Natural Resources and Life Sciences, Vienna, Austria.
Jazyk: angličtina
Zdroj: Hydrological sciences journal = Journal des sciences hydrologiques [Hydrol Sci J] 2020 Jan 21; Vol. 65 (4), pp. 524-535. Date of Electronic Publication: 2020 Jan 21 (Print Publication: 2020).
DOI: 10.1080/02626667.2019.1709641
Abstrakt: Optical disdrometers can be used to estimate rainfall erosivity; however, the relative accuracy of different disdrometers is unclear. This study compared three types of optical laser-based disdrometers to quantify differences in measured rainfall characteristics and to develop correction factors for kinetic energy (KE). Two identical PWS100 (Campbell Scientific), one Laser Precipitation Monitor (Thies Clima) and a first-generation Parsivel (OTT) were collocated with a weighing rain gauge (OTT Pluvio 2 ) at a site in Austria. All disdrometers underestimated total rainfall compared to the rain gauge with relative biases from 2% to 29%. Differences in drop size distribution and velocity resulted in different KE estimates. By applying a linear regression to the KE-intensity relationship of each disdrometer, a correction factor for KE between the disdrometers was developed. This factor ranged from 1.15 to 1.36 and allowed comparison of KE between different disdrometer types despite differences in measured drop size and velocity.
(© 2020 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.)
Databáze: MEDLINE
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