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Disdrometer

About: Disdrometer is a research topic. Over the lifetime, 930 publications have been published within this topic receiving 23092 citations.


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TL;DR: In this paper, the absolute calibration of a dual-polarization radar of the German Weather Service is continuously monitored using the operational birdbath scan and collocated disdrometer measurements at the Hohenpeissenberg observatory.
Abstract: The absolute calibration of a dual-polarization radar of the German Weather Service is continuously monitored using the operational birdbath scan and collocated disdrometer measurements at the Hohenpeissenberg observatory. The goal is to measure the radar reflectivity constant Z better than ±1 dB. The assumption is that a disdrometer measurement close to the surface can be related to the radar measurement at the first far-field range bin. This is verified using a Micro Rain Radar (MRR). The MRR data fill the gap between the measurement near the surface and the far-field range bin at 650 m. Using data from the first half of the warm season in 2014, a bias in radar calibration of 1.8 dB is found. Data from only stratiform precipitation events are considered. After adjusting the radar calibration and using an independent data sample, very good agreement is found between the radar, the MRR, and the disdrometer with a bias in smaller than 1 dB. The bias in is not captured with the classic one-point cal...

31 citations

Journal ArticleDOI
TL;DR: In this paper, the relationship between rainfall intensity (I ), and median volume raindrop diameter, and three rainfall erosivity indices (kinetic energy, momentum, and momentum multiplied by the drop diameter) using an optical disdrometer deployed in the intertidal zone during summer and fall of 2010 and 2011 were analyzed.

31 citations

Journal ArticleDOI
TL;DR: In this paper, a statistical method for the improvement of disdrometer measurements (DM) has been proposed to improve D measurements, and the difference in volumetric diameter estimation between methods P and D amounted to -4% of the average P voluetric diameter.
Abstract: A variety of techniques have been proposed for sprinkler drop characterization. Two of them, the disdrometer method (D) and the low-speed photographic method (P), have recently been applied in the literature. A statistical method for the improvement of disdrometer measurements (DM) has been proposed to improve D measurements. The aims of this study were: (1) to compare the disdrometer and photographic methods under indoor conditions, (2) to produce a drop characterization data set, (3) to assess the effect of the statistical treatment of disdrometer data, and (4) to gain insight into the relationship between drop variables. The drops resulting from an impact sprinkler operating at 200, 300, and 400 kPa were characterized at distances of 3, 6, 9, and 12 m from the sprinkler. In each method, diameters responded to operating pressure and distance from the sprinkler according to the expected trends. The difference in volumetric diameter estimation between methods P and D amounted to -4% of the average P volumetric diameter. The application of DM to this data set increased the difference in volumetric diameter with method P to 15%. Drop velocity and angle could be measured with method P and showed clear relationships with drop diameter. Finally, regression equations are presented relating the most relevant experimental variables. The disdrometer resulted in fast measurements of drop diameter, while the photographic method provided additional variables but required intense work in the laboratory and particularly in the office.

31 citations

Journal ArticleDOI
TL;DR: In this article, the authors examined the raindrop size distribution (RSD) characteristics over the South China Sea (SCS) with onboard Parsivel disdrometer measurements collected during marine surveys from 2012 to 2016.
Abstract: Raindrop size distribution (RSD) characteristics over the South China Sea (SCS) are examined with onboard Parsivel disdrometer measurements collected during marine surveys from 2012 to 2016. The observed rainfall is divided into pre-monsoon, monsoon, and post-monsoon periods based on the different large-scale circumstances. In addition to disdrometer data, sounding observation, FY-2E satellite, SPRINTARS (Spectral Radiation-Transport Model for Aerosol Species), and NCEP reanalysis datasets are used to illustrate the dynamical and microphysical characteristics associated with the rainfall in different periods. Significant variations have been observed in respect of raindrops among the three periods. Intercomparison reveals that small drops (D < 1 mm) are prevalent during pre-monsoon precipitation, whereas medium drops (1–3 mm) are predominant in monsoon precipitation. Overall, the post-monsoon precipitation is characterized by the least concentration of raindrops among the three periods. But, several large raindrops could also occur due to severe convective precipitation events in this period. Classification of the precipitation into stratiform and convective regimes shows that the lg(Nw) value of convective rainfall is the largest (smallest) in the pre-monsoon (post-monsoon) period, whereas the Dm value is the smallest (largest) in the pre-monsoon (post-monsoon) period. An inversion relationship between the coefficient A and the exponential b of the Z—R relationships for precipitation during the three periods is found. Empirical relations between Dm and the radar reflectivity factors at Ku and Ka bands are also derived to improve the rainfall retrieval algorithms over the SCS. Furthermore, the possible causative mechanisms for the significant RSD variability in different periods are also discussed with respect to warm and cold rain processes, raindrop evaporation, convective activities, and other meteorological factors.

31 citations

Journal ArticleDOI
TL;DR: In this article, it was shown that the clustering of raindrops previously found during intervals of 1 min also occurs during 1 s as well in convective rain, which suggests that these latter temporal scales likely correspond to spatial features having dimensions from only a few to tens of meters.
Abstract: In recent studies it is shown that in variable rain the spatial distribution of drops is not Poissonian. However, these past studies were limited to 1-min drop counts, which likely correspond to spatial scales of a few hundred to several hundreds of meters. In this work results based on 1-s drop counts using a video disdrometer are reported. It is shown that the clustering of raindrops previously found during intervals of 1 min also occurs during 1 s as well in convective rain. These latter temporal scales likely correspond to spatial features having dimensions from only a few to tens of meters. Combined with the authors’ earlier results, these findings suggest that clustering of raindrops and meteorological variability span the range of scales from at least as small as a few meters to several hundreds of meters in convective precipitating systems. Consequently, non-Poissonian clustering reported in previous work (analyzing data accumulated over hours using 1-min drop counts) cannot be dismissed ...

31 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202378
2022114
202151
202059
201972
201840