Articles | Volume 17, issue 23
https://doi.org/10.5194/acp-17-14727-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-17-14727-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Illustration of microphysical processes in Amazonian deep convective clouds in the gamma phase space: introduction and potential applications
Micael A. Cecchini
CORRESPONDING AUTHOR
Centro de Previsão de Tempo e Estudos Climáticos, Instituto Nacional de Pesquisas Espaciais, Cachoeira Paulista, Brazil
Departamento de Ciências Atmosféricas, Instituto de Astronomia, Geofísica e Ciências Atmosféricas (IAG), Universidade de São Paulo (USP), São Paulo, Brazil
Luiz A. T. Machado
Centro de Previsão de Tempo e Estudos Climáticos, Instituto Nacional de Pesquisas Espaciais, Cachoeira Paulista, Brazil
Manfred Wendisch
Leipziger Institut für Meteorologie (LIM), Universität Leipzig, Stephanstr. 3, 04103 Leipzig, Germany
Anja Costa
Forschungszentrum Jülich, Institut für Energie und Klimaforschung (IEK-7), Jülich, Germany
Martina Krämer
Forschungszentrum Jülich, Institut für Energie und Klimaforschung (IEK-7), Jülich, Germany
Meinrat O. Andreae
Biogeochemistry, Multiphase Chemistry, and Particle Chemistry Departments, Max Planck Institute for Chemistry, P.O. Box 3060, 55020 Mainz, Germany
Scripps Institution of Oceanography, University of California San Diego, La Jolla, CA 92037, USA
Armin Afchine
Forschungszentrum Jülich, Institut für Energie und Klimaforschung (IEK-7), Jülich, Germany
Rachel I. Albrecht
Departamento de Ciências Atmosféricas, Instituto de Astronomia, Geofísica e Ciências Atmosféricas (IAG), Universidade de São Paulo (USP), São Paulo, Brazil
Paulo Artaxo
Instituto de Física (IF), Universidade de São Paulo (USP), São Paulo, Brazil
Stephan Borrmann
Biogeochemistry, Multiphase Chemistry, and Particle Chemistry Departments, Max Planck Institute for Chemistry, P.O. Box 3060, 55020 Mainz, Germany
Institut für Physik der Atmosphäre (IPA), Johannes Gutenberg-Universität, Mainz, Germany
Daniel Fütterer
Institut für Physik der Atmosphäre, Deutsches Zentrum für Luft- und Raumfahrt (DLR), Oberpfaffenhofen, 82234 Wessling, Germany
Thomas Klimach
Biogeochemistry, Multiphase Chemistry, and Particle Chemistry Departments, Max Planck Institute for Chemistry, P.O. Box 3060, 55020 Mainz, Germany
Christoph Mahnke
Biogeochemistry, Multiphase Chemistry, and Particle Chemistry Departments, Max Planck Institute for Chemistry, P.O. Box 3060, 55020 Mainz, Germany
Institut für Physik der Atmosphäre (IPA), Johannes Gutenberg-Universität, Mainz, Germany
Scot T. Martin
School of Engineering and Applied Sciences and Department of Earth and Planetary Sciences, Harvard University, Cambridge, Massachusetts, USA
Andreas Minikin
Institut für Physik der Atmosphäre, Deutsches Zentrum für Luft- und Raumfahrt (DLR), Oberpfaffenhofen, 82234 Wessling, Germany
Flugexperimente, Deutsches Zentrum für Luft- und Raumfahrt (DLR), Oberpfaffenhofen, Germany
Sergej Molleker
Institut für Physik der Atmosphäre (IPA), Johannes Gutenberg-Universität, Mainz, Germany
Lianet H. Pardo
Centro de Previsão de Tempo e Estudos Climáticos, Instituto Nacional de Pesquisas Espaciais, Cachoeira Paulista, Brazil
Christopher Pöhlker
Biogeochemistry, Multiphase Chemistry, and Particle Chemistry Departments, Max Planck Institute for Chemistry, P.O. Box 3060, 55020 Mainz, Germany
Mira L. Pöhlker
Biogeochemistry, Multiphase Chemistry, and Particle Chemistry Departments, Max Planck Institute for Chemistry, P.O. Box 3060, 55020 Mainz, Germany
Ulrich Pöschl
Biogeochemistry, Multiphase Chemistry, and Particle Chemistry Departments, Max Planck Institute for Chemistry, P.O. Box 3060, 55020 Mainz, Germany
Daniel Rosenfeld
Institute of Earth Sciences, The Hebrew University of Jerusalem, Jerusalem, Israel
Bernadett Weinzierl
Institut für Physik der Atmosphäre, Deutsches Zentrum für Luft- und Raumfahrt (DLR), Oberpfaffenhofen, 82234 Wessling, Germany
Faculty of Physics, University of Vienna, Boltzmanngasse 5, 1090 Vienna, Austria
Ludwig-Maximilians-Universität, Meteorologisches Institut, Munich, Germany
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Cited
10 citations as recorded by crossref.
- Amazonian aerosol size distributions in a lognormal phase space: characteristics and trajectories G. Unfer et al. 10.5194/acp-24-3869-2024
- X-band dual-polarization radar-based hydrometeor classification for Brazilian tropical precipitation systems J. Ribaud et al. 10.5194/amt-12-811-2019
- How weather events modify aerosol particle size distributions in the Amazon boundary layer L. Machado et al. 10.5194/acp-21-18065-2021
- Long-term observations of cloud condensation nuclei over the Amazon rain forest – Part 2: Variability and characteristics of biomass burning, long-range transport, and pristine rain forest aerosols M. Pöhlker et al. 10.5194/acp-18-10289-2018
- Macrophysical and Microphysical Characteristics of Convective Rain Cells Observed During SOS‐CHUVA M. Cecchini et al. 10.1029/2019JD031187
- Overview: Precipitation characteristics and sensitivities to environmental conditions during GoAmazon2014/5 and ACRIDICON-CHUVA L. Machado et al. 10.5194/acp-18-6461-2018
- Drop Size Distribution Broadening Mechanisms in a Bin Microphysics Eulerian Model L. Pardo et al. 10.1175/JAS-D-20-0099.1
- Observed and Simulated Variability of Droplet Spectral Dispersion in Convective Clouds Over the Amazon L. Hernández Pardo et al. 10.1029/2021JD035076
- Classification of Arctic, midlatitude and tropical clouds in the mixed-phase temperature regime A. Costa et al. 10.5194/acp-17-12219-2017
- Vertical distribution of the particle phase in tropical deep convective clouds as derived from cloud-side reflected solar radiation measurements E. Jäkel et al. 10.5194/acp-17-9049-2017
8 citations as recorded by crossref.
- Amazonian aerosol size distributions in a lognormal phase space: characteristics and trajectories G. Unfer et al. 10.5194/acp-24-3869-2024
- X-band dual-polarization radar-based hydrometeor classification for Brazilian tropical precipitation systems J. Ribaud et al. 10.5194/amt-12-811-2019
- How weather events modify aerosol particle size distributions in the Amazon boundary layer L. Machado et al. 10.5194/acp-21-18065-2021
- Long-term observations of cloud condensation nuclei over the Amazon rain forest – Part 2: Variability and characteristics of biomass burning, long-range transport, and pristine rain forest aerosols M. Pöhlker et al. 10.5194/acp-18-10289-2018
- Macrophysical and Microphysical Characteristics of Convective Rain Cells Observed During SOS‐CHUVA M. Cecchini et al. 10.1029/2019JD031187
- Overview: Precipitation characteristics and sensitivities to environmental conditions during GoAmazon2014/5 and ACRIDICON-CHUVA L. Machado et al. 10.5194/acp-18-6461-2018
- Drop Size Distribution Broadening Mechanisms in a Bin Microphysics Eulerian Model L. Pardo et al. 10.1175/JAS-D-20-0099.1
- Observed and Simulated Variability of Droplet Spectral Dispersion in Convective Clouds Over the Amazon L. Hernández Pardo et al. 10.1029/2021JD035076
2 citations as recorded by crossref.
- Classification of Arctic, midlatitude and tropical clouds in the mixed-phase temperature regime A. Costa et al. 10.5194/acp-17-12219-2017
- Vertical distribution of the particle phase in tropical deep convective clouds as derived from cloud-side reflected solar radiation measurements E. Jäkel et al. 10.5194/acp-17-9049-2017
Latest update: 07 Oct 2024
Short summary
This study introduces and explores the concept of gamma phase space. This space is able to represent all possible variations in the cloud droplet size distributions (DSDs). The methodology was applied to recent in situ aircraft measurements over the Amazon. It is shown that the phase space is able to represent several processes occurring in the clouds in a simple manner. The consequences for cloud studies, modeling, and the representation of the transition from warm to mixed phase are discussed.
This study introduces and explores the concept of gamma phase space. This space is able to...
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