Understanding Sources and Drivers of Size-Resolved Aerosol in the High Arctic Islands of Svalbard Using a Receptor Model Coupled with Machine Learning | Zendy

Congbo Song | Zendy; Silvia Becagli | Zendy; David C. S. Beddows | Zendy; James Brean | Zendy; Jo Browse | Zendy; Qili Dai | Zendy; Manuel Dall’Osto | Zendy; Valerio Ferracci | Zendy; Roy M. Harrison | Zendy; Neil Harris | Zendy; Weijun Li | Zendy; A. E. Jones | Zendy; Amélie Kirchgäßner | Zendy; Agung Ghani Kramawijaya | Zendy; Alexander Kurganskiy | Zendy; Angelo Lupi | Zendy; Mauro Mazzola | Zendy; Mirko Severi | Zendy; Rita Traversi | Zendy; Zongbo Shi | Zendy

Open Access

Understanding Sources and Drivers of Size-Resolved Aerosol in the High Arctic Islands of Svalbard Using a Receptor Model Coupled with Machine Learning

Author(s) -

Congbo Song,

Silvia Becagli,

David C. S. Beddows,

James Brean,

Jo Browse,

Qili Dai,

Manuel Dall’Osto,

Valerio Ferracci,

Roy M. Harrison,

Neil Harris,

Weijun Li,

A. E. Jones,

Amélie Kirchgäßner,

Agung Ghani Kramawijaya,

Alexander Kurganskiy,

Angelo Lupi,

Mauro Mazzola,

Mirko Severi,

Rita Traversi,

Zongbo Shi

Publication year - 2022

Publication title -

environmental science and technology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 2.851

H-Index - 397

eISSN - 1520-5851

pISSN - 0013-936X

DOI - 10.1021/acs.est.1c07796

Subject(s) - aerosol , cloud condensation nuclei , arctic , ice nucleus , environmental science , snow , atmospheric sciences , sea salt , particle (ecology) , sea ice , nucleation , climatology , meteorology , oceanography , geography , geology , chemistry , organic chemistry

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research