Articles | Volume 20, issue 3
https://doi.org/10.5194/acp-20-1591-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-20-1591-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
07 Feb 2020
Research article |
| 07 Feb 2020
| 07 Feb 2020
The challenge of simulating the sensitivity of the Amazonian cloud microstructure to cloud condensation nuclei number concentrations
Pascal Polonik
Meteorologisches Institut, Ludwig-Maximilians-Universität München, Munich, Germany
now at: Scripps Institution of Oceanography, University of
California San Diego, La Jolla, California, USA
Christoph Knote
CORRESPONDING AUTHOR
Meteorologisches Institut, Ludwig-Maximilians-Universität München, Munich, Germany
Tobias Zinner
Meteorologisches Institut, Ludwig-Maximilians-Universität München, Munich, Germany
Florian Ewald
Institut für Physik der Atmosphäre, Deutsches Zentrum für Luft- und Raumfahrt (DLR), Oberpfaffenhofen, Germany
Tobias Kölling
Meteorologisches Institut, Ludwig-Maximilians-Universität München, Munich, Germany
Bernhard Mayer
Meteorologisches Institut, Ludwig-Maximilians-Universität München, Munich, Germany
Meinrat O. Andreae
Scripps Institution of Oceanography, University of California San Diego, La Jolla, California, USA
Multiphase Chemistry and Biogeochemistry Departments, Max Planck
Institute for Chemistry, Mainz, Germany
Tina Jurkat-Witschas
Multiphase Chemistry and Biogeochemistry Departments, Max Planck
Institute for Chemistry, Mainz, Germany
Thomas Klimach
Multiphase Chemistry and Biogeochemistry Departments, Max Planck
Institute for Chemistry, Mainz, Germany
Christoph Mahnke
Particle Chemistry Department, Max Planck Institute for Chemistry,
Mainz, Germany
Institut für Physik der Atmosphäre, Johannes
Gutenberg-Universität, Mainz, Germany
Sergej Molleker
Particle Chemistry Department, Max Planck Institute for Chemistry,
Mainz, Germany
Christopher Pöhlker
Multiphase Chemistry and Biogeochemistry Departments, Max Planck
Institute for Chemistry, Mainz, Germany
Mira L. Pöhlker
Multiphase Chemistry and Biogeochemistry Departments, Max Planck
Institute for Chemistry, Mainz, Germany
Ulrich Pöschl
Multiphase Chemistry and Biogeochemistry Departments, Max Planck
Institute for Chemistry, Mainz, Germany
Daniel Rosenfeld
Institute of Earth Sciences, Hebrew University of Jerusalem,
Jerusalem, Israel
Christiane Voigt
Institut für Physik der Atmosphäre, Deutsches Zentrum für Luft- und Raumfahrt (DLR), Oberpfaffenhofen, Germany
Institut für Physik der Atmosphäre, Johannes
Gutenberg-Universität, Mainz, Germany
Ralf Weigel
Institut für Physik der Atmosphäre, Johannes
Gutenberg-Universität, Mainz, Germany
Manfred Wendisch
Leipziger Institut für Meteorologie, Universität Leipzig, Leipzig, Germany
Viewed
Total article views: 2,855 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 18 Jul 2019)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 2,055 | 665 | 135 | 2,855 | 59 | 62 |
- HTML: 2,055
- PDF: 665
- XML: 135
- Total: 2,855
- BibTeX: 59
- EndNote: 62
Total article views: 2,264 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 07 Feb 2020)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 1,712 | 423 | 129 | 2,264 | 52 | 55 |
- HTML: 1,712
- PDF: 423
- XML: 129
- Total: 2,264
- BibTeX: 52
- EndNote: 55
Total article views: 591 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 18 Jul 2019)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 343 | 242 | 6 | 591 | 7 | 7 |
- HTML: 343
- PDF: 242
- XML: 6
- Total: 591
- BibTeX: 7
- EndNote: 7
Viewed (geographical distribution)
Total article views: 2,855 (including HTML, PDF, and XML)
Thereof 2,714 with geography defined
and 141 with unknown origin.
Total article views: 2,264 (including HTML, PDF, and XML)
Thereof 2,163 with geography defined
and 101 with unknown origin.
Total article views: 591 (including HTML, PDF, and XML)
Thereof 551 with geography defined
and 40 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
4 citations as recorded by crossref.
- Aitken mode particles as CCN in aerosol- and updraft-sensitive regimes of cloud droplet formation M. Pöhlker et al. 10.5194/acp-21-11723-2021
- Isolating Large‐Scale Smoke Impacts on Cloud and Precipitation Processes Over the Amazon With Convection Permitting Resolution R. Herbert et al. 10.1029/2021JD034615
- High-spatial-resolution retrieval of cloud droplet size distribution from polarized observations of the cloudbow V. Pörtge et al. 10.5194/amt-16-645-2023
- The cloudbow of planet Earth observed in polarisation M. Sterzik et al. 10.1051/0004-6361/202038270
4 citations as recorded by crossref.
- Aitken mode particles as CCN in aerosol- and updraft-sensitive regimes of cloud droplet formation M. Pöhlker et al. 10.5194/acp-21-11723-2021
- Isolating Large‐Scale Smoke Impacts on Cloud and Precipitation Processes Over the Amazon With Convection Permitting Resolution R. Herbert et al. 10.1029/2021JD034615
- High-spatial-resolution retrieval of cloud droplet size distribution from polarized observations of the cloudbow V. Pörtge et al. 10.5194/amt-16-645-2023
- The cloudbow of planet Earth observed in polarisation M. Sterzik et al. 10.1051/0004-6361/202038270
Latest update: 12 Nov 2024
Short summary
A realistic representation of cloud–aerosol interactions is central to accurate climate projections. Here we combine observations collected during the ACRIDICON-CHUVA campaign with chemistry-transport simulations to evaluate the model’s ability to represent the indirect effects of biomass burning aerosol on cloud microphysics. We find an upper limit for the model sensitivity on cloud condensation nuclei concentrations well below the levels reached during the burning season in the Amazon Basin.
A realistic representation of cloud–aerosol interactions is central to accurate climate...
Altmetrics
Final-revised paper
Preprint