A Bayesian Hydrometeor Classification Algorithm for C-Band Polarimetric Radar [PDF]
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
doaj +5 more sources
A Support Vector Machine Hydrometeor Classification Algorithm for Dual-Polarization Radar [PDF]
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 +10 more sources
Key Technologies of Hydrometeor Classification and Mosaic Algorithm for X-band Polarimetric Radar
The advantages of X-band polarimetric weather radar focus on its high spatio-temporal resolution and capability of multi-radar networking. However, the previously designed hydrometeor classification algorithm (HCA) for S-band weather radar is unsuitable ...
Wu Chong +4 more
doaj +3 more sources
A Deep-Learning Scheme for Hydrometeor Type Classification Using Passive Microwave Observations
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 two-dimensional video disdrometer data [PDF]
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 +4 more sources
Solid hydrometeor classification and riming degree estimation from pictures collected with a Multi-Angle Snowflake Camera [PDF]
A new method to automatically classify solid hydrometeors based on Multi-Angle Snowflake Camera (MASC) images is presented. For each individual image, the method relies on the calculation of a set of geometric and texture-based descriptors to ...
C. Praz, Y.-A. Roulet, A. Berne
doaj +5 more sources
Parameter Improvements of Hydrometeor Classification Algorithm for the Dual-polarimetric Radar
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
A Dual-Polarization Radar Hydrometeor Classification Algorithm for Winter Precipitation [PDF]
Abstract The purpose of this study is to demonstrate the use of polarimetric observations in a radar-based winter hydrometeor classification algorithm. This is accomplished by deriving bulk electromagnetic scattering properties of stratiform, cold-season rain, freezing rain, sleet, dry aggregated snowflakes, dendritic snow crystals, and ...
Steven Rutledge +2 more
exaly +2 more sources
Learning about the vertical structure of radar reflectivity using hydrometeor classes and neural networks in the Swiss Alps [PDF]
The use of radar for precipitation measurement in mountainous regions is complicated by many factors, especially beam shielding by terrain features, which, for example, reduces the visibility of the shallow precipitation systems during the cold season ...
F. van den Heuvel +5 more
doaj +1 more source
(GO)2-SIM: a GCM-oriented ground-observation forward-simulator framework for objective evaluation of cloud and precipitation phase [PDF]
General circulation model (GCM) evaluation using ground-based observations is complicated by inconsistencies in hydrometeor and phase definitions. Here we describe (GO)2-SIM, a forward simulator designed for objective hydrometeor-phase evaluation, and
K. Lamer +7 more
doaj +1 more source

