TY - JOUR
T1 - An Algorithm for 3D Modeling of Doppler Weather Radar Base Data
AU - Yin , Xiaoru
AU - Jiao , Shengming
AU - Xi , Du
AU - Bao , Tingting
JO - Journal of Information and Computing Science
VL - 1
SP - 51
EP - 66
PY - 2023
DA - 2023/12
SN - 18
DO - http://doi.org/10.4208/JICS-2023-004
UR - https://global-sci.org/intro/article_detail/jics/23720.html
KW - Doppler weather radar, 3D modeling, Marching trapezoidal polyhedrons, WebGL.
AB - <p style="text-align: justify;">This paper proposed a Marching Trapezoidal Polyhedrons 3D modeling
algorithm (MTPD) based on the cone-shaped spatial distribution of Doppler weather
radar base data. In this algorithm, a trapezoidal polyhedron was introduced to replace
the cube in the conventional modeling algorithm as a basic volume element for
modelling. On the other hand, the hexahedral index or tetrahedral index was selected
as the construction model for the 3D iso-surface based on the difference in spatial range
for 3D radar modeling, to balance the efficiency of the algorithm and the precision of the
modeling results. Based on this algorithm, a Doppler weather radar 3D visualization
platform was developed using WebGL technology. The results revealed that the
algorithm significantly improved efficiency without compromising the precision of 3D
modeling when compared with the conventional modeling algorithm based on radar
grid data. The durations for the algorithms were reduced by 1.9 seconds and 0.7 seconds,
respectively under the hexahedral index mode and the tetrahedral index mode, while
under the tetrahedral index mode, the 3D echo structure was more continuous with a
higher level of precision. The Doppler weather 3D radar visualization platform based
on the B/S architecture could provide a cross-platform 3D radar display, thus visualize
the 3D structure of convective cloud effectively.</p>