Topic
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 capability of using a C-band polarimetric Doppler radar and a two-dimensional video disdrometer (2DVD) to estimate monsoon-influenced summer rainfall during the Observation, Prediction and Analysis of Severe Convection of China (OPACC) field campaign in 2014 and 2015 in eastern China is investigated.
Abstract: In this study, the capability of using a C-band polarimetric Doppler radar and a two-dimensional video disdrometer (2DVD) to estimate monsoon-influenced summer rainfall during the Observation, Prediction and Analysis of Severe Convection of China (OPACC) field campaign in 2014 and 2015 in eastern China is investigated. Three different rainfall R estimators, for reflectivity at horizontal polarization [R(Zh)], for reflectivity at horizontal polarization and differential reflectivity factor [R(Zh, Zdr)], and for specific differential phase [R(KDP)], are derived from 2-yr 2DVD observations of summer precipitation systems. The radar-estimated rainfall is compared to gauge observations from eight rainfall episodes. Results show that the two polarimetric estimators, R(Zh, Zdr) and R(KDP), perform better than the traditional Zh–R relation [i.e., R(Zh)]. The KDP-based estimator [i.e., R(KDP)] produces the best rainfall accumulations. The radar rainfall estimators perform differently across the three organ...
30 citations
TL;DR: In this paper, the authors compared the performance of dual-polarization radar measurements with ground-based disdrometer measurements located 47.1 km away from the radar.
Abstract: Rainfall parameters estimated from dual-polarization radar measurements using the differential-reflectivity technique are compared with ground-based disdrometer measurements located 47.1 km from the radar. This case study is based on data obtained during an experiment in central Illinois on October 29, 1982. Both empirical and model relationships between radar observables and rainfall parameters ters are tested. The differential-reflectivity technique is compared with the conventional Z -R technique and is shown to provide improvements in the estimation of rainfall rate by radar. The analysis includes careful consideration of the spatial and temporal factors relating the radar-scattering volumes to the location and duration of ground-based disdrometer measurements. The significance of these factors (mainly due to the horizontal and vertical motion of raindrops) in radar-disdrometer comparisons is evident in the results.
30 citations
TL;DR: In this paper, the relationship between X-band specific attenuation (A, Z, and ZDR) and disdrometer raindrop spectra was investigated using both disDrometer and radar data.
Abstract: In Part II of this study, simulations of multiparameter radar observables to include X-band specific attenuation (A) are performed in order to study the relationship between A, Z, and ZDR. We also compute the triplet (A, Z, ZDR) from simulations of disdrometer raindrop spectra. As in Part I, our simulations include the fluctuations due to both measurement errors and physical variations of the gamma raindrop spectra parameters (N0, D0, m). We examine the correlation between (A/Z) and ZDR derived from both disdrometer and radar simulations, and show that the disdrometer-based data yields a negative collation (∼ −0.9) between (A/Z) and ZDR, whereas for radar data the correlation ≈ 0. We emphasize that these correlations are due only to measurement fluctuations, and not to physical variations. The large magnitude for the negative correlation compresses the scatter in plots of (A/Z) versus ZDR based on disdrometer RSD samples whereas the same scatter plots using multiparameter radar data show very lar...
30 citations
TL;DR: In this article, the authors examined the relationship between the mass-weighted mean diameter (D m ) and the standard deviation of the mass spectrum (σ M ) without any assumption on the DSD form.
30 citations
TL;DR: In this article, the pair-correlation function was used to detect rain events where current microphysical models can be tested in an optimal manner and not all rain can be properly described using fractals.
Abstract: Most microphysical models in precipitation physics and radar meteorology assume (at least implicitly) that raindrops are completely uncorrelated in space and time. Yet, several recent studies have indicated that raindrop arrivals are often temporally and spatially correlated. Resolution of this conflict must begin with observations of perfectly uncorrelated rainfall, should such “perfectly steady rain” exist at all. Indeed, it does. Using data with high temporal precision from a two-dimensional video disdrometer and the pair-correlation function, a scale-localized statistical tool, several ∼10–20-min rain episodes have been uncovered where no clustering among droplet arrival times is found. This implies that (i) rain events exist where current microphysical models can be tested in an optimal manner and (ii) not all rain can be properly described using fractals.
30 citations