Predicting atmospheric particle formation days by Bayesian classification of the time series features

Predicting atmospheric particle formation days by Bayesian classification of the time series features

Atmospheric new-particle formation (NPF) is an important source of climatically relevant atmospheric aerosol particles. NPF can be directly observed by monitoring the time-evolution of ambient aerosol particle size distributions. From the measured distribution data, it is relatively straightforward...

Full description

Bibliographic Details
Main Authors: M. A. Zaidan, V. Haapasilta, R. Relan, H. Junninen, P. P. Aalto, M. Kulmala, L. Laurson, A. S. Foster
Format: Article
Language:English
Published: Taylor & Francis Group 2018-01-01
Series:Tellus: Series B, Chemical and Physical Meteorology
Subjects:
atmospheric aerosol particles
new-particle formation
machine learning
Bayesian neural networks
Online Access:http://dx.doi.org/10.1080/16000889.2018.1530031

Internet

http://dx.doi.org/10.1080/16000889.2018.1530031

Similar Items