A Microcomputer Data-Acquisition System for Real-Time Processing of Raindrop Size Distribution Measured with the RD69 Distrometer

Campistron, Bernard; Despaux, Gilbert; Lacaux, Jean‐Pierre

doi:10.1175/1520-0426(1987)004<0536:amdasf>2.0.co;2

Cited by 8 publications

(6 citation statements)

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“…The rainwater samples were collected using an automatic sequential "wet-only" collector Campistron et al 1987) (giving 2 mm fractions of water) and kept at less than 4°C. Each event is thus individualized, and the concentrations are obtained either by analysis of the recombined fractions or by calculation after analysis of the entire series.…”

Section: Experimentationmentioning

confidence: 99%

Rain-Aerosol Coupling in a Rural Area in the Basque Country (Spain): Scavenging Ratios

Encinas¹,

Casado²

1999

Aerosol Science and Technology

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Section: Experimentationmentioning

confidence: 99%

Rain-Aerosol Coupling in a Rural Area in the Basque Country (Spain): Scavenging Ratios

Encinas¹,

Casado²

1999

Aerosol Science and Technology

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“…For applications in the field of weather radar, a basic relation between the radar reflectivity (Z) of the and the rain rate (R) must be defined for the region to be studied, that is the conversion of the radar reflectivity in rain rate through a Z-R relationship with two coefficients (Sekhon and Srivastava, 1971). Another method used for the estimation of the relation between radar reflectivity and rain rate, is a set of drop number measured with the disdrometer (Joss and Waldvogel, 1967;1969;Campistron et al, 1987). The estimation of Z-R relations using a set of pairs Z-R by means of one disdrometer RD-69 will be discussed for each type of rain (convective and stratiform).…”

Section: Introductionmentioning

confidence: 99%

Raindrop distribution in the Eastern Coast of Northeastern Brazil using disdrometer data

Tenorio

Moraes²,

Kwon

2010

Rev. bras. meteorol.

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Usually a single literature-suggested Z-R relationship, where Z the radar reflectivity factor and R the rain rate, is used for weather radar data interpretation. It is desirable to calculate a Z-R relationship by precipitation type to improve the accuracy of quantitative rainfall rate in case of coexistence of different precipitation types, such as, in the area of precipitation produced from a Mesoscale Convective System (MCS). In general, in the MCS trailing anvil, the stratiform precipitation does not fall as drizzle. Rather, the rainfall can assume significant intensity (~10 mm h-1) with showery character. For that reason, in this study, the precipitations were classified into convective and stratiform type, to produce optimum rainfall estimates. Therefore, Z-R relationships were developed for the Eastern Coast of Northeastern Brazil (NEB) using rainfall raindrop size distribution (DSD) data collected with a disdrometer RD-69, aiming their utilization to start the operation of a weather radar system. In this study, due to operation and maintenance facilities, the disdrometer was installed in the Campus of the Universidade Federal de Alagoas (The Federal University of Alagoas) in Maceió in 2001, 12 months before the complete installation of a new radar system. The DSD was stratified by rainfall rate classes. It is found that the DSD are clearly dependent on the parameters of the analytical distribution functions are, and show a marked monthly variability. The parameters of the frequency distributions are dependent on R. The forms of DSDs are similar but the amount of droplets in each one very strongly. This may be possible due to the short period of data collection or to the intraseasonal rainfall variability. The general relationship for the Eastern Coast of NEB was found to be Z = 176.5 R1.29, with correlation coefficient equal to 0.83. This equation is in accordance with the ones for stratiform rain reported in the literature. We found that the convective rain observed is produced by convective cells imbedded into stratiform cloud layers. However, when separating stratiform and convective rainfall we found that the linear coefficient of the Z-R relation is significantly smaller for convective rainfall than for stratiform one (65 and 167 respectively), but the exponential coefficient is higher for convective than for stratiform (1.69 and 1.26 respectively).

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“…Its operating principle is based on the mechanical impact of drops. The data acquisition and processing chain was developed by Campistron et al [35]. The measurement principle is such that the drops of rain, received every minute on the sampling area of the sensor (50 cm 2 ), are classified according to the magnitude of their impacts in 25 channels covering the range of diameters between 0.3 and 5.2 mm by constant interval of 0.2 mm.…”

Section: Experimental Devices Observation Sites and Databasementioning

confidence: 99%

Consistency in <i>Z</i>-<i>R</i> Relationship Variability Regardless Precipitating Systems, Climatic Zones Observed from Two Types of Disdrometer

Bamba¹,

Ochou²,

Zahiri³

et al. 2014

ACS

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Data from rain Drop Size Distributions gathered on five sites in Africa as well as those of the pilot site in Kourou (French Guyana, South America), located in different climatic zones, and collected by two types of disdrometer (the impact JW RD-69 disdrometer and the Optical Spectro-Pluviometer, OSP) are used to study the consistency of the reflectivity factor-rain rate at the ground (Z-R) relationship variability. The results clearly confirm that the relationship Z-R knows a large spatial variability, from a type of precipitation to another and within the same precipitation regardless the type of disdrometer used for DSD measurements. Base on the similarity of the relations reflectivity factor-rain rate and ratio median volume diameter over the total number of drops-rain rate, the variability of the Z-R coefficients (A, b) through the simultaneously implication of the size and number of drops which characterize the DSD was exhibited. It was shown that the relationships A-α and b-β designed to understand the involvement of parameters D0 and NT of DSD in the variability of the relationship Z-R are similar regardless the types of disdrometer used. However, the relations A-α in the Sahelian region appear to deviate from those of Guinean, equatorial and Soudanian zones. The plausible reasons were discussed.

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A Microcomputer Data-Acquisition System for Real-Time Processing of Raindrop Size Distribution Measured with the RD69 Distrometer

Cited by 8 publications

References 0 publications

Rain-Aerosol Coupling in a Rural Area in the Basque Country (Spain): Scavenging Ratios

Rain-Aerosol Coupling in a Rural Area in the Basque Country (Spain): Scavenging Ratios

Raindrop distribution in the Eastern Coast of Northeastern Brazil using disdrometer data

Consistency in <i>Z</i>-<i>R</i> Relationship Variability Regardless Precipitating Systems, Climatic Zones Observed from Two Types of Disdrometer

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A Microcomputer Data-Acquisition System for Real-Time Processing of Raindrop Size Distribution Measured with the RD69 Distrometer

Cited by 8 publications

References 0 publications

Rain-Aerosol Coupling in a Rural Area in the Basque Country (Spain): Scavenging Ratios

Rain-Aerosol Coupling in a Rural Area in the Basque Country (Spain): Scavenging Ratios

Raindrop distribution in the Eastern Coast of Northeastern Brazil using disdrometer data

Consistency in &lt;i&gt;Z&lt;/i&gt;-&lt;i&gt;R&lt;/i&gt; Relationship Variability Regardless Precipitating Systems, Climatic Zones Observed from Two Types of Disdrometer

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Consistency in <i>Z</i>-<i>R</i> Relationship Variability Regardless Precipitating Systems, Climatic Zones Observed from Two Types of Disdrometer