Algorithm for Cloud Particle Phase Identification Based on Bayesian Random Forest Method
The phase state of cloud particles refers to the physical state or form of clouds, typically encompassing characteristics such as structure, composition, and appearance. It is regarded as a crucial parameter in cloud microphysics. The study of cloud particle phase states is regarded as crucial for a...
Saved in:
Main Authors: | Fu Tao, Yang Zhipeng, Tao Fa, Hu Shuzhen, Lu Yuxiang, Fu Changqing |
---|---|
Format: | Article |
Language: | English |
Published: |
Editorial Office of Journal of Applied Meteorological Science
2025-01-01
|
Series: | 应用气象学报 |
Subjects: | |
Online Access: | http://qikan.camscma.cn/en/article/doi/10.11898/1001-7313.20250105 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Objective classification for solid hydrometeor particles using deep learning
by: Asuka Yoshimura, et al.
Published: (2024-11-01) -
Quantifying the Influence of Cloud Seeding on Ice Particle Growth and Snowfall Through Idealized Microphysical Modeling
by: Ghazal Mehdizadeh, et al.
Published: (2024-12-01) -
Remote Sensing of Ice Cloud Properties With Millimeter and Submillimeter-Wave Polarimetry
by: Dong L. Wu, et al.
Published: (2024-01-01) -
A Numerical Simulation of Convective Systems in Southeast China: A Comparison of Microphysical Schemes and Sensitivity Experiments on Raindrop Break and Evaporation
by: Zhaoqing Cheng, et al.
Published: (2024-11-01) -
An Improved Multi-Threshold Clutter Filtering Algorithm for W-Band Cloud Radar Based on K-Means Clustering
by: Zhao Shi, et al.
Published: (2024-12-01)