Prediction of CCN spectra parameters in the North China Plain using a random forest model-Reference-Cited by-同舟云学术

Prediction of CCN spectra parameters in the North China Plain using a random forest model

Published:2022-11 Issue: Volume:289 Page:119323
ISSN:1352-2310
Container-title:Atmospheric Environment
language:en
Short-container-title:Atmospheric Environment

Author:

Liang Minghua,Tao Jiangchuan,Ma Nan,Kuang Ye,Zhang Yanyan,Wu Sen,Jiang Xuejuan,He Yao,Chen Chunrong,Yang Wenda,Zhou Yaqing,Cheng Peng,Xu Wanyun,Hong Juan,Wang Qiaoqiao,Zhao Chunsheng,Zhou Guangsheng,Sun Yele,Zhang Qiang,Su Hang,Cheng Yafang

Publisher

Elsevier BV

Subject

Atmospheric Science,General Environmental Science

Reference70 articles.

1. Aerosol–cloud–precipitation interactions. Part 1. The nature and sources of cloud-active aerosols[J];Andreae;Earth Sci. Rev.,2008

2. Comparing parameterized versus measured microphysical properties of tropical convective cloud bases during the ACRIDICON–CHUVA campaign[J];Braga;Atmos. Chem. Phys.,2017

3. Random forests[J];Breiman;Mach. Learn.,2001

4. The size-resolved cloud condensation nuclei (CCN) activity and its prediction based on aerosol hygroscopicity and composition in the Pearl Delta River (PRD) region during wintertime 2014[J];Cai;Atmos. Chem. Phys.,2018

5. Comprehensive mapping and characteristic regimes of aerosol effects on the formation and evolution of pyro-convective clouds;Chang;Atmos. Chem. Phys.,2015

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Utilization of hyperspectral imaging for the analysis of aroma components of Soy Sauce-Aroma Type Baijiu;Journal of Food Composition and Analysis;2024-10

2. Machine learning revealing key factors influencing HONO chemistry in Beijing during heating and non-heating periods;Atmospheric Research;2024-03

3. Detection of wheat saccharification power and protein content using stacked models integrated with hyperspectral imaging;Journal of the Science of Food and Agriculture;2024-01-31

4. A New CCN Number Concentration Prediction Method Based on Multiple Linear Regression and Non‐Negative Matrix Factorization: 2. Application to Obtain CCN Spectra in and Around the Korean Peninsula;Journal of Geophysical Research: Atmospheres;2023-11-27

5. A New CCN Number Concentration Prediction Method Based on Multiple Linear Regression and Non‐Negative Matrix Factorization: 1. Development, Validation, and Comparison Using the Measurement Data Over the Korean Peninsula;Journal of Geophysical Research: Atmospheres;2023-11-21