Wind-Induced Error of Raindrop Size Distribution Measurement Using a Two-Dimensional Video Disdrometer

Nespor, V.; Krajewski, Witold F.; Kruger, Anton

doi:10.1175/1520-0426(2000)017<1483:wieors>2.0.co;2

Cited by 104 publications

(78 citation statements)

References 10 publications

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“…Two motion cameras record images of drops which have been used to accurately measure drop velocity, diameter, and shape (including oblateness, Figure 6). Measurement errors arising from drop drift caused by the tall unit design have led to design modifications, including the development of an indoor model [129], and one specifically designed for outdoor use [127]. Liu et al [130] developed a video system capable of accurate drop shape and velocity measurement ( Figure 7).…”

Section: Optical Disdrometersmentioning

confidence: 99%

Rain Drop Measurement Techniques: A Review

Kathiravelu

Lucke

Nichols

2016

Water

121

108

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For over a century there have been many studies that describe the use of rain drop measurement techniques. Initial manual measurement methods evolved due to improved technology to include photographic and, more recently, automated disdrometer and laser measurement techniques. Despite these numerous studies, there have been few comparative reviews of the range of methodologies, and their relative performance. This review explores the raindrop measurement techniques available, and summarizes and classifies the techniques according to the method or principle involved. The requirements of a robust raindrop measurement technique are suggested, and these are reviewed against existing rain drop measurement techniques to provide a comparative guide to the use of the range of techniques available for any research study. This review revealed that while advances in technology have allowed many of the deficiencies of early techniques to be eliminated, challenges remain in relation to the precision of the measurement of the size, shape, and velocity of rain drops.

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Section: Optical Disdrometersmentioning

confidence: 99%

Rain Drop Measurement Techniques: A Review

Kathiravelu

Lucke

Nichols

2016

Water

121

108

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“…Cuando ambos sensores registran precipitación la subestimación del disdrómetro es de un 30%. La subestimación de la precipitación por efecto del viento es conocida (Tapiador et al, 2012;Nespor et al, 2000), y por ese motivo resulta necesaria la utilización de protectores de viento.…”

Section: Discussionunclassified

“…Los disdrómetros no están exentos de errores asociados a su medición, siendo el viento uno de los principales factores que influyen en la precisión de la medición (Nespor et al, 2000). La influencia del viento es también conocida en otros dispositivos como los pluviómetros de balancín o de pesada, resultando generalmente en una subestimación de la precipitación, en especial en eventos de nieve (Tapiador et al, 2012;New et al;.…”

Section: Introductionunclassified

Monitorización de la intensidad de precipitación en montaña mediante disdrómetro óptico

Angulo‐Martínez¹,

Serrano‐Notivoli²,

Collado³

et al. 2016

Clima, Sociedad, Riesgos Y Ordenación Del Territorio

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“…This software was not used in the present study, because it does not apply for solid-phase precipitation. Nešpor et al (2000) showed that horizontal wind components which exist in the direct vicinity of the 2-DVD housing can influence the measurement of drop-size distributions significantly, especially for smaller hydrometeors. For this reason the measurements presented in the following were conducted under calm wind conditions with wind velocities below 5.0 m s −1 .…”

Section: Principle Of Operationmentioning

confidence: 99%

On the consistency of 2-D video disdrometers in measuring microphysical parameters of solid precipitation

Bernauer¹,

Hürkamp²,

Rühm³

et al. 2015

Atmos. Meas. Tech.

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Abstract. Detailed characterization and classification of precipitation is an important task in atmospheric research. Line scanning 2-D video disdrometer devices are well established for rain observations. The two orthogonal views taken of each hydrometeor passing the sensitive area of the instrument qualify these devices especially for detailed characterization of nonsymmetric solid hydrometeors. However, in case of solid precipitation, problems related to the matching algorithm have to be considered and the user must be aware of the limited spatial resolution when size and shape descriptors are analyzed. Clarifying the potential of 2-D video disdrometers in deriving size, velocity and shape parameters from single recorded pictures is the aim of this work. The need of implementing a matching algorithm suitable for mixed-and solidphase precipitation is highlighted as an essential step in data evaluation. For this purpose simple reproducible experiments with solid steel spheres and irregularly shaped Styrofoam particles are conducted. Self-consistency of shape parameter measurements is tested in 38 cases of real snowfall. As a result, it was found that reliable size and shape characterization with a relative standard deviation of less than 5 % is only possible for particles larger than 1 mm. For particles between 0.5 and 1.0 mm the relative standard deviation can grow up to 22 % for the volume, 17 % for size parameters and 14 % for shape descriptors. Testing the adapted matching algorithm with a reproducible experiment with Styrofoam particles, a mismatch probability of less than 3 % was found. For shape parameter measurements in case of real solid-phase precipitation, the 2-DVD shows self-consistent behavior.

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Wind-Induced Error of Raindrop Size Distribution Measurement Using a Two-Dimensional Video Disdrometer

Cited by 104 publications

References 10 publications

Rain Drop Measurement Techniques: A Review

Rain Drop Measurement Techniques: A Review

Monitorización de la intensidad de precipitación en montaña mediante disdrómetro óptico

On the consistency of 2-D video disdrometers in measuring microphysical parameters of solid precipitation

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