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, a design based on piezoceramic disks normally used in hydrophones is described for a reasonably accurate and sensitive, low-cost and rugged disdrometer to support field work.
Abstract: The deployment of weather radar, notably in mountainous terrain with many microclimates, requires the use of several or even many drop size spectrometers to provide confidence in the quantitative relation between radar reflectivity and rainfall. While there are several different commercial disdrometers available they are all expensive, large, or fragile, which militates against multiple deployment in the field. The design brief was for a reasonably accurate and sensitive, low-cost and rugged disdrometer to support field work. A design based on piezoceramic disks normally used in hydrophones is described. Calibration and typical field results are presented.
3 citations
08 Jan 2019
3 citations
TL;DR: Wang et al. as discussed by the authors analyzed the feature of raindrop size distribution (hereafter referred to as DSD) using high-resolution disdrometer measurements collected throughout China during the warm season (May through August) of 2020.
3 citations
27 Jun 2019
TL;DR: In this article, an effective low cost RF based disdrometer can be implemented with the help of dual-polarized radar with the complete working of S-band disDrometer is simulated and error is estimated.
Abstract: Disdrometers are devices that help in estimating DSD. The existing disdrometers in India are mostly hardware dependent are expensive and prone to wear and tear. An effective low cost RF based disdrometer can be implemented with the help of Dual-polarized radar. The complete working of S-band disdrometer is simulated and error is estimated. The rainfall estimation is done using the updated algorithm that uses polarimetric radar parameters to estimate the intensity of rainfall for the range of 2.7–2.9 GHz. The rainfall attenuation prediction is done using a power-law relation given by ITU-R recommendation.
3 citations
TL;DR: In this article , a methodology has been developed to discriminate non bright band (NBB) rainfall from bright band rainfall using reflectivity (Z) and differential reflectivity computed from disdrometer data.
Abstract: In the San Francisco Bay Area, precipitation occurs in the wintertime, mostly as rain. Wintertime rainfall can be further classified into cold or stratiform rain with a typical radar bright band signature and warm orographic rain with absence of a radar bright band. Vertical Pointing S-Band profiler radar and disdrometer measurements from two of NOAA’s Hydrometeorology Testbed (HMT) sites in California are used to study the differences in microphysical properties between these two types of rain and their implications in radar rainfall estimation. A methodology has been developed to discriminate non bright band (NBB) rainfall from bright band (BB) rainfall using reflectivity (Z) and differential reflectivity (Z DR ) computed from disdrometer data. Delineating the two rainfall types in this way allowed for an algorithm to be applied to the radar scans to identify rainfall types and apply appropriate reflectivity based and specific differential phase (K DP ) based rainfall estimators. Recently, a gap-filling X-Band weather radar with dual-polarization capabilities was deployed in the San Francisco Bay Area in Santa Rosa to aid in weather monitoring and provide high resolution Quantitative Precipitation Estimation (QPE) products. When applied to real radar observations, this method shows great potential for improving the QPE compared to traditional operational products which more often tend to underestimate rainfall in the California coastal region.
3 citations