(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
Case Study of the Hydrometeor Classification with the S-band Dual-Polarization Radar
Jae-Kyoung Lee
exaly +2 more sources
This study established a Support Vector Machine (SVM)-based radar classification model of hydrometeor under the T-matrix based radar detection model of hydrometeors.
Tongxiao YANG, Caijun YUE
doaj +1 more source
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 ...
Brenda Dolan +4 more
openaire +1 more source
Hydrometeor classification for dual polarization Doppler weather radar echo is a procedure that identifies hydrometeor types based on the scattering properties of precipitation particles to polarized electromagnetic waves.
Haijiang Wang +3 more
doaj +1 more source
Analysis of Two Convective Storms Using Polarimetric X-Band Radar and Satellite Data
We analyzed two convective storms that passed over or near the Milešovka meteorological observatory. The observatory is located at the top of a hill and has been recently equipped with a Doppler polarimetric X-band radar FURUNO WR2120 for cloud ...
Gabriela Bobotová +4 more
doaj +1 more source
Reconstruction of the mass and geometry of snowfall particles from multi-angle snowflake camera (MASC) images [PDF]
This paper presents a method named 3D-GAN, based on a generative adversarial network (GAN), to retrieve the total mass, 3D structure and the internal mass distribution of snowflakes.
J. Leinonen +3 more
doaj +1 more source
Hydrometeor partitioning ratios for dual-frequency space-borne and polarimetric ground-based radar observations [PDF]
Conventional radar-based hydrometeor classification algorithms identify the dominant hydrometeor type within a resolved radar volume, while newer techniques estimate the proportions of individual hydrometeor classes (hydrometeor partitioning ratios, HPRs)
V. Pejcic +4 more
doaj +1 more source
Testing a Procedure for Automatic Classification of Hydrometeor Types
Abstract Examples of automatic interpretation of polarimetric measurements made with an algorithm that classifies precipitation, from an Oklahoma squall line and a Florida airmass storm are presented. Developed in this paper are sensitivity tests of this algorithm to various polarimetric variables.
Dus̆an S. Zrnić +4 more
openaire +1 more source
Calibration of D3R Weather Radar Using UAV-Hosted Target
The accuracy of weather radar-measured products, such as reflectivity, plays a crucial factor in obtaining good quality, derived remote sensing products, such as hydrometeor classification.
Shashank S. Joshil +1 more
doaj +1 more source

