A Bayesian Hydrometeor Classification Algorithm for C-Band Polarimetric Radar [PDF]
Remote Sensing, 2019 A hydrometeor classification algorithm is developed by applying Bayes’ theorem to C-band polarimetric weather radar measurements. The Bayesian hydrometeor classification algorithm (BHCA) includes eight hydrometeor types: hail, rain, graupel, dry ...
Ji Yang +5 more
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A Support Vector Machine Hydrometeor Classification Algorithm for Dual-Polarization Radar [PDF]
Atmosphere, 2017 An algorithm based on a support vector machine (SVM) is proposed for hydrometeor classification. The training phase is driven by the output of a fuzzy logic hydrometeor classification algorithm, i.e., the most popular approach for hydrometer ...
Nicoletta Roberto +6 more
doaj +8 more sources
A Deep-Learning Scheme for Hydrometeor Type Classification Using Passive Microwave Observations
Remote Sensing, 2023 This paper proposes a novel approach for hydrometeor classification using passive microwave observations. The use of passive measurements for this purpose has not been extensively explored, despite being available for over four decades.
Ruiyao Chen, Ralf Bennartz
doaj +4 more sources
Hydrometeor classification from polarimetric radar measurements: a clustering approach [PDF]
Atmospheric Measurement Techniques, 2015 A data-driven approach to the classification of hydrometeors from measurements collected with polarimetric weather radars is proposed. In a first step, the optimal number of hydrometeor classes (nopt) that can be reliably identified from a large ...
J. Grazioli, D. Tuia, A. Berne
doaj +7 more sources
Hydrometeor classification from two-dimensional video disdrometer data [PDF]
Atmospheric Measurement Techniques, 2014 The first hydrometeor classification technique based on two-dimensional video disdrometer (2DVD) data is presented. The method provides an estimate of the dominant hydrometeor type falling over time intervals of 60 s during precipitation, using ...
J. Grazioli +5 more
doaj +5 more sources
Remote Sensing, 2021 Hydrometeor classification remains a challenge in winter precipitation cloud systems. To address this issue, 42 snowfall events were investigated based on a multi-platform radar observation system (i.e., X-band dual-polarization radar, Ka-band millimeter
Yichen Chen +3 more
doaj +3 more sources
Hydrometeor Distribution and Linear Depolarization Ratio in Thunderstorms
Remote Sensing, 2020 The distribution of hydrometeors in thunderstorms is still under investigation as well as the process of electrification in thunderclouds leading to lightning discharges.
Zbyněk Sokol +2 more
doaj +3 more sources
Parameter Improvements of Hydrometeor Classification Algorithm for the Dual-polarimetric Radar
应用气象学报, 2020 Most of recent hydrometeor classification schemes for dual-polarimtric radar are based on fuzzy logic. Due to the lack of true value of hydrometeors, it is difficult to verify whether classifications are right or not.
Xu Shuyang, Wu Chong, Liu Liping
doaj +2 more sources
Hydrometeor classification through statistical clustering of polarimetric radar measurements: a semi-supervised approach [PDF]
Atmospheric Measurement Techniques, 2016 Polarimetric radar-based hydrometeor classification is the procedure of identifying different types of hydrometeors by exploiting polarimetric radar observations.
N. Besic +5 more
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Hydrometeor Classification for Dual Polarization Radar Based on Multi-Sample Fusion SVM [PDF]
Radioengineering, 2023 In order to enhance the accuracy of dual polarization radar in hydrometeor classification, a hydrometeor classification algorithm based on multi-sample fusion Support Vector Machine (SVM) is proposed in this paper after considering that traditional fuzzy
Z. Luo, X. Wang, L. Wang, G. Xu, Y. Gao
doaj +3 more sources