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DOI10.5194/hess-23-4737-2019
Effect of disdrometer type on rain drop size distribution characterisation: A new dataset for south-eastern Australia
Guyot A.; Pudashine J.; Protat A.; Uijlenhoet R.; Pauwels V.R.N.; Seed A.; Walker J.P.
发表日期2019
ISSN1027-5606
起始页码4737
结束页码4761
卷号23期号:11
英文摘要Knowledge of the full rainfall drop size distribution (DSD) is critical for characterising liquid water precipitation for applications such as rainfall retrievals using electromagnetic signals and atmospheric model parameterisation. Southern Hemisphere temperate latitudes have a lack of DSD observations and their integrated variables. Laserbased disdrometers rely on the attenuation of a beam by falling particles and are currently the most commonly used type of instrument to observe the DSD. However, there remain questions on the accuracy and variability in the DSDs measured by co-located instruments, whether identical models, different models or from different manufacturers. In this study, raw and processed DSD observations obtained from two of the most commonly deployed laser disdrometers, namely the Parsivel1 from OTT and the Laser Precipitation Monitor (LPM) from Thies Clima, are analysed and compared. Four co-located instruments of each type were deployed over 3 years from 2014 to 2017 in the proximity of Melbourne, a region prone to coastal rainfall in south-eastern Australia. This dataset includes a total of approximately 1.5 million recorded minutes, including over 40 000 min of quality rainfall data common to all instruments, equivalent to a cumulative amount of rainfall ranging from 1093 to 1244mm (depending on the instrument records) for a total of 318 rainfall events. Most of the events lasted between 20 and 40 min for rainfall amounts of 0.12 to 26.0 mm. The colocated LPM sensors show very similar observations, while the co-located Parsivel1 systems show significantly different results. The LPM recorded 1 to 2 orders of magnitude more smaller droplets for drop diameters below 0.6mm compared to the Parsivel1, with differences increasing at higher rainfall rates. The LPM integrated variables showed systematically lower values compared to the Parsivel1. Radar reflectivity- rainfall rate (ZH-R) relationships and resulting potential errors are also presented. Specific ZH-R relations for drizzle and convective rainfall are also derived based on DSD collected for each instrument type. Variability of the DSD as observed by co-located instruments of the same manufacturer had little impact on the estimated ZH-R relationships for stratiform rainfall, but differs when considering convective rainfall relations or ZH-R relations fitted to all available data. Conversely, disdrometer-derived ZH-R relations as compared to the Marshall-Palmer relation ZH D 200R1:6 led to a bias in rainfall rates for reflectivities of 50 dBZ of up to 21.6mmh1. This study provides an open-source high-resolution dataset of co-located DSD to further explore sampling effects at the micro scale, along with rainfall microstructure. © 2019 Copernicus GmbH. All rights reserved.
语种英语
scopus关键词Drops; Manufacture; Reflection; Size distribution; Atmospheric model; Cumulative amount; Drop size distribution; Electromagnetic signals; Orders of magnitude; Radar reflectivities; South-eastern Australia; Southern Hemisphere; Rain; accuracy assessment; atmospheric modeling; data set; equipment; parameterization; precipitation (climatology); raindrop; size distribution; Southern Hemisphere; Australia; Melbourne; Victoria [Australia]
来源期刊Hydrology and Earth System Sciences
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/159562
作者单位Guyot, A., Department of Civil Engineering, Monash University, Melbourne, VIC, Australia; Pudashine, J., Department of Civil Engineering, Monash University, Melbourne, VIC, Australia; Protat, A., Bureau of Meteorology, Melbourne, VIC, Australia; Uijlenhoet, R., Wageningen University, Hydrology and Quantitative Water Management Group, Wageningen, Netherlands; Pauwels, V.R.N., Department of Civil Engineering, Monash University, Melbourne, VIC, Australia; Seed, A., Bureau of Meteorology, Melbourne, VIC, Australia; Walker, J.P., Department of Civil Engineering, Monash University, Melbourne, VIC, Australia
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Guyot A.,Pudashine J.,Protat A.,et al. Effect of disdrometer type on rain drop size distribution characterisation: A new dataset for south-eastern Australia[J],2019,23(11).
APA Guyot A..,Pudashine J..,Protat A..,Uijlenhoet R..,Pauwels V.R.N..,...&Walker J.P..(2019).Effect of disdrometer type on rain drop size distribution characterisation: A new dataset for south-eastern Australia.Hydrology and Earth System Sciences,23(11).
MLA Guyot A.,et al."Effect of disdrometer type on rain drop size distribution characterisation: A new dataset for south-eastern Australia".Hydrology and Earth System Sciences 23.11(2019).
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