the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Long-term observations of cloud condensation nuclei in the Amazon rain forest – Part 1: Aerosol size distribution, hygroscopicity, and new model parametrizations for CCN prediction
Mira L. Pöhlker
Christopher Pöhlker
Florian Ditas
Thomas Klimach
Isabella Hrabe de Angelis
Alessandro Araújo
Joel Brito
Samara Carbone
Yafang Cheng
Xuguang Chi
Reiner Ditz
Sachin S. Gunthe
Jürgen Kesselmeier
Tobias Könemann
Jošt V. Lavrič
Scot T. Martin
Eugene Mikhailov
Daniel Moran-Zuloaga
Diana Rose
Jorge Saturno
Ryan Thalman
David Walter
Jian Wang
Stefan Wolff
Henrique M. J. Barbosa
Paulo Artaxo
Meinrat O. Andreae
Ulrich Pöschl
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Through the use of our machine-learning-based optical model, realistic BC morphologies can be incorporated into atmospheric science applications that require highly accurate results with minimal computational resources. The results of the study demonstrate that the predictions of single-scattering albedo (ω) and mass absorption cross-section (MAC) were improved over the conventional Mie-based predictions when using the machine learning method.
accumulation mode). Previous studies suggest that this can also occur in smaller particles (
Aitken mode). Our study provides a general framework to estimate under which aerosol and cloud conditions Aitken mode particles affect clouds.
Through the use of our machine-learning-based optical model, realistic BC morphologies can be incorporated into atmospheric science applications that require highly accurate results with minimal computational resources. The results of the study demonstrate that the predictions of single-scattering albedo (ω) and mass absorption cross-section (MAC) were improved over the conventional Mie-based predictions when using the machine learning method.
closed loopfor aerosol formation, transport and growth.
accumulation mode). Previous studies suggest that this can also occur in smaller particles (
Aitken mode). Our study provides a general framework to estimate under which aerosol and cloud conditions Aitken mode particles affect clouds.
laboratoryto study the processes which govern the exchange of gases and aerosols to and from the atmosphere. This study investigated these processes by measuring the atmospheric concentrations of trace gases and particles at the Amazon Tall Tower Observatory. We found that the long-range transport of pollutants can affect the atmospheric composition above the Amazon rainforest and that the gases ammonia and nitrous acid can be emitted from the rainforest.
fluorescence landscapeof PSLs is more complex than the information provided by manufacturers may imply. By understanding general fluorescence properties of PSLs, individual researchers may probe specific spectral features important to the operation of their own instruments.