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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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Posted ContentDOI
09 Jun 2023
TL;DR: In this article , the authors developed localize dual-polarimetric relations for different radar bands and rainfall types, which can better represent the DSD properties compared to one-dimensional Z , hence providing more accurate QPE products than the conventional R ( Z ) relations.
Abstract: Abstract Quantitative precipitation estimates (QPE) can be further improved using estimation algorithms derived from localized raindrop size distribution (DSD) observations. In this study, DSD measurements from two disdrometer stations within Metro Manila during the Southwest monsoon (SWM) period were used to investigate the microphysical properties of rainfall and develop localize dual-polarimetric relations for different radar bands and rainfall types. Observations show that the DSD in Metro Manila is more distributed to larger diameters compared to Southern Luzon and neighboring countries in the Western Pacific. This is reflected by the relatively higher mass-weighted mean diameter ( D m ) and smaller shape (μ) and slope (Λ) parameters measured in the region. The average values of D m and normalized intercept parameter ( N w ) in convective rain samples also suggest that convective rains in Metro Manila are highly influenced by both continental and oceanic convective processes. Dual-polarimetric variables simulated using the T-matrix scattering method showed good agreement with disdrometer-derived reflectivity ( Z H ) values. The 0.5 dB and 0.3° km -1 thresholds for the differential reflectivity ( Z DR ) and specific differential phase ( K DP ) based on the blended algorithm of Cifelli et al. (2011) and Thompson et al. (2017) are proven to be useful since the utility of the dual-polarimetric variables as rainfall estimators are shown to have dependencies on the radar band and rainfall type. Evaluation of the QPE products with respect to the C-band shows that R (K DP , Z DR ) has the best performance among the dual-pol relations and statistically outperformed the conventional Marshall & Palmer relation [ R ( Z MP )]. The results show that dual-polarimetric variables such as Z DR and K DP can better represent the DSD properties compared to one-dimensional Z , hence providing more accurate QPE products than the conventional R ( Z ) relations.
Proceedings ArticleDOI
01 Dec 2022
TL;DR: In this paper , the Parsivel Disdrometer OTT2 and the Micro Rain Radar over the Arctic location of Ny-Ålesund, Svalbard, reveal the occurrence of many forms of rain and snowfall with various growth mechanisms.
Abstract: Important information on our changing climate can be found in Arctic precipitation. Measurements from the Parsivel Disdrometer OTT2 and the Micro Rain Radar over the Arctic location of Ny-Ålesund, Svalbard, reveal the occurrence of many forms of rain and snowfall with various growth mechanisms. Based on a year's worth of data, we give some case studies of various precipitation types with their characteristics and the related synoptic conditions in this study. This study will also include a variety of atmospheric phenomena, such as bright band and Virga. The findings are helpful in determining how climate change may affect arctic precipitation.
Peer ReviewDOI
21 Mar 2023
TL;DR: In this article , surface disdrometer reflectivity factor estimates were used to calibrate the vertical and off-vertical pointing radar beams produced by an UHF band radar wind profiler (RWP) deployed at the US Department of Energy (DOE) Atmospheric Radiation Measurement (ARM) program Southern Great Plains (SGP) Central Facility in northern Oklahoma from April 2011 through July 2019.
Abstract: Abstract. This study uses surface disdrometer reflectivity factor estimates to calibrate the vertical and off-vertical pointing radar beams produced by an Ultra High Frequency (UHF) band radar wind profiler (RWP) deployed at the US Department of Energy (DOE) Atmospheric Radiation Measurement (ARM) program Southern Great Plains (SGP) Central Facility in northern Oklahoma from April 2011 through July 2019. The methodology consists of five steps. First, the recorded Doppler velocity power spectra are adjusted to account for Nyquist velocity aliasing and coherent integration filtering effects. Second, the spectrum moments are calculated. The third step increases the signal-to-noise ratio (SNR) due to signal power leakage during the Fast Fourier Transform (FFT) calculation, which can exceed 20 dB during convective rain events. The fourth step determines the RWP calibration constant for one radar beam (called the “reference” beam) by comparing uncalibrated RWP reflectivity factors at 500 m above the ground to 1-min resolution surface disdrometer reflectivity factors. The last step uses the calibrated reference beam reflectivity factor to calibrate the other radar beams during precipitation. There are two key findings. The RWP sensitivity decreased approximately 3-to-4 dB/year as the hardware aged. This drift was slow enough that the reference calibration constant can be estimated over 3-month intervals using episodic rain events. Calibrated moments are available on the DOE ARM data archive and Python processing code is available on a public GitHub repository.
Posted ContentDOI
27 Mar 2022
TL;DR: In this paper , a 2D video disdrometer (2DVD, Joanneum Research, Graz, Austria) and a MicroRain Radar-Pro (MRR-Pro, Metek, Elmshorn, Germany) were deployed near Charleston, South Carolina, USA and horizontally separated by approximately 20 meters.
Abstract: <p>Simultaneous measurements of the rain drop size distribution were made by a 2-dimensional video disdrometer (2DVD, Joanneum Research, Graz, Austria) and a MicroRain Radar-Pro (MRR-Pro, Metek, Elmshorn, Germany) deployed near Charleston, South Carolina, USA and horizontally separated by approximately 20 meters. The 2DVD data was post-processed to correct for spurious drop detection and incorrect assignment of effective sensor area, and the MRR-Pro spectral data was corrected to incorporate a height-dependent estimate of the ambient vertical wind. Surface 2DVD drop measurements were utilized to reconstruct an approximation of the drop size distribution aloft at different heights and times to compare to the inferred MRR-Pro drop spectrum and bulk rain parameters. Despite fundamentally different measurement principles and different sets of assumptions associated with the reconstruction of drop size distributions aloft, the agreement between the 2DVD and MRR-Pro data showed promise. The two data sets are further investigated in order to reveal possible features of boundary layer rain vertical variability, estimates of drop-drop collision rates, and near-surface rain microphysical phenomena.</p>

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