Dual-polarization radar fingerprints of precipitation physics: A review

MR Kumjian, OP Prat, KJ Reimel, M van Lier-Walqui… - Remote Sensing, 2022 - mdpi.com
This article reviews how precipitation microphysics processes are observed in dual-
polarization radar observations. These so-called “fingerprints” of precipitation processes are …

Real-time forest fire detection framework based on artificial intelligence using color probability model and motion feature analysis

Wahyono, A Harjoko, A Dharmawan, FD Adhinata… - Fire, 2022 - mdpi.com
As part of the early warning system, forest fire detection has a critical role in detecting fire in
a forest area to prevent damage to forest ecosystems. In this case, the speed of the detection …

A simple and effective method for separating meteorological from nonmeteorological targets using dual-polarization data

A Kilambi, F Fabry, V Meunier - Journal of Atmospheric and …, 2018 - journals.ametsoc.org
To satisfy the needs of the meteorological and aeroecological communities wanting a simple
but effective way of flagging each other's unwanted echo for a variety of different operational …

基于贝叶斯-随机森林的云粒子相态识别算法

付涛, 杨智鹏, 陶法, 胡树贞, 卢郁香, 付长青 - 应用气象学报, 2025 - qikan.camscma.cn
为准确识别云粒子相态, 利用同址建设的毫米波云雷达和微波辐射计, 基于贝叶斯-随机森林算法,
分别建立降雨和非降雨天气模型, 将云雷达反射率因子, 速度谱宽, 径向速度, 退偏振比 …

Cloud and precipitation particle identification using cloud radar and lidar measurements: Retrieval technique and validation

U Romatschke, J Vivekanandan - Earth and Space Science, 2022 - Wiley Online Library
This paper describes a technique for identifying hydrometeor particle types using airborne
HIAPER Cloud Radar (HCR) and High Spectral Resolution Lidar (HSRL) observations. HCR …

A convolution neural network approach to Doppler spectra classification of 205 MHz radar

B P. Thampy, J MV, A Kottayil - Theoretical and Applied Climatology, 2022 - Springer
Wind profiler radars are capable of measuring three-dimensional wind profiles at various
altitudes of the atmosphere, at very high temporal and spatial resolution. The Advanced …

Bayesian Classification of Nonmeteorological Targets in Polarimetric Doppler Radar Measurements

T Mäkinen, J Ritvanen, S Pulkkinen… - … of Atmospheric and …, 2022 - journals.ametsoc.org
The latest established generation of weather radars provides polarimetric measurements of
a wide variety of meteorological and nonmeteorological targets. While the classification of …

Radar-based automatic identification and quantification of weak echo regions for hail nowcasting

J Shi, P Wang, D Wang, H Jia - Atmosphere, 2019 - mdpi.com
The identification of some radar reflectivity signatures plays a vital role in severe
thunderstorm nowcasting. A weak echo region is one of the signatures that could indicate …

An economic feasibility assessment framework for underutilised crops using Support Vector Machine

MS Oh, ZY Chen, E Jahanshiri, D Isa… - Computers and electronics …, 2020 - Elsevier
As susceptibility of commercial crops to the changing climates and resulting harsher
conditions increases, interest in the potential of resilient underutilised crops grows …

Hydrometeor classification of quasi-vertical profiles of polarimetric radar measurements using a top-down iterative hierarchical clustering method

M Lukach, D Dufton, J Crosier… - Atmospheric …, 2021 - amt.copernicus.org
Correct, timely and meaningful interpretation of polarimetric weather radar observations
requires an accurate understanding of hydrometeors and their associated microphysical …