Articles | Volume 24, issue 24
https://doi.org/10.5194/acp-24-13865-2024
© Author(s) 2024. 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-24-13865-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
16 Dec 2024
Research article |
| 16 Dec 2024
| 16 Dec 2024
CCN estimations at a high-altitude remote site: role of organic aerosol variability and hygroscopicity
Fernando Rejano
CORRESPONDING AUTHOR
Andalusian Institute for Earth System Research, IISTA-CEAMA, University of Granada, Junta de Andalucía, Granada, 18006, Spain
GRASP-SAS, Remote Sensing developments, Lezennes, 59260, France
Andrea Casans
Andalusian Institute for Earth System Research, IISTA-CEAMA, University of Granada, Junta de Andalucía, Granada, 18006, Spain
Department of Applied Physics, University of Granada, Granada 18071, Spain
Marta Via
Institute of Environmental Assessment and Water Research (IDAEA-CSIC), Barcelona, 28008, Spain
Juan Andrés Casquero-Vera
Andalusian Institute for Earth System Research, IISTA-CEAMA, University of Granada, Junta de Andalucía, Granada, 18006, Spain
Department of Applied Physics, University of Granada, Granada 18071, Spain
Sonia Castillo
Andalusian Institute for Earth System Research, IISTA-CEAMA, University of Granada, Junta de Andalucía, Granada, 18006, Spain
Department of Applied Physics, University of Granada, Granada 18071, Spain
Hassan Lyamani
Applied Physics I Department, University of Malaga, Malaga, 29071, Spain
Alberto Cazorla
Andalusian Institute for Earth System Research, IISTA-CEAMA, University of Granada, Junta de Andalucía, Granada, 18006, Spain
Department of Applied Physics, University of Granada, Granada 18071, Spain
Elisabeth Andrews
Global Monitoring Laboratory, National Oceanic and Atmospheric Administration, Boulder, CO 80305, USA
Cooperative Institute for Research in Environmental Studies (CIRES), University of Colorado, Boulder, CO 80309, USA
Daniel Pérez-Ramírez
Andalusian Institute for Earth System Research, IISTA-CEAMA, University of Granada, Junta de Andalucía, Granada, 18006, Spain
Department of Applied Physics, University of Granada, Granada 18071, Spain
Andrés Alastuey
Institute of Environmental Assessment and Water Research (IDAEA-CSIC), Barcelona, 28008, Spain
Francisco Javier Gómez-Moreno
Department of Environment, CIEMAT, Madrid, 28040, Spain
Lucas Alados-Arboledas
Andalusian Institute for Earth System Research, IISTA-CEAMA, University of Granada, Junta de Andalucía, Granada, 18006, Spain
Department of Applied Physics, University of Granada, Granada 18071, Spain
Francisco José Olmo
Andalusian Institute for Earth System Research, IISTA-CEAMA, University of Granada, Junta de Andalucía, Granada, 18006, Spain
Department of Applied Physics, University of Granada, Granada 18071, Spain
Gloria Titos
Andalusian Institute for Earth System Research, IISTA-CEAMA, University of Granada, Junta de Andalucía, Granada, 18006, Spain
Department of Applied Physics, University of Granada, Granada 18071, Spain
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Cited
7 citations as recorded by crossref.
- Optimizing CCN predictions through inferred modal aerosol composition – a boreal forest case study R. Ranjan et al. https://doi.org/10.5194/acp-25-17275-2025
- Cloud condensation nuclei phenomenology: predictions based on aerosol chemical and optical properties I. Zabala et al. https://doi.org/10.5194/acp-26-3697-2026
- Determining the impact of new particle formation events on cloud condensation nuclei (CCN) concentrations A. Casans et al. https://doi.org/10.1016/j.scitotenv.2025.179094
- Advancing Aerosol Chemistry with Machine Learning: A Short Review Y. Wang et al. https://doi.org/10.1021/acsestair.5c00001
- Hygroscopicity of Organic Compounds as a Function of Their Physicochemical Properties N. Raparthi et al. https://doi.org/10.1021/acsestair.5c00061
- Sources and Composition of Organic Aerosols in the Central Arctic during Spring and Summer B. Heutte et al. https://doi.org/10.1021/acs.est.5c09788
- Effects of the Biosurfactant Rhamnolipid on the hygroscopicity and cloud condensation nuclei activity (CCN) of ammonium sulfate aerosols W. Fang et al. https://doi.org/10.1016/j.atmosres.2026.108950
7 citations as recorded by crossref.
- Optimizing CCN predictions through inferred modal aerosol composition – a boreal forest case study R. Ranjan et al. https://doi.org/10.5194/acp-25-17275-2025
- Cloud condensation nuclei phenomenology: predictions based on aerosol chemical and optical properties I. Zabala et al. https://doi.org/10.5194/acp-26-3697-2026
- Determining the impact of new particle formation events on cloud condensation nuclei (CCN) concentrations A. Casans et al. https://doi.org/10.1016/j.scitotenv.2025.179094
- Advancing Aerosol Chemistry with Machine Learning: A Short Review Y. Wang et al. https://doi.org/10.1021/acsestair.5c00001
- Hygroscopicity of Organic Compounds as a Function of Their Physicochemical Properties N. Raparthi et al. https://doi.org/10.1021/acsestair.5c00061
- Sources and Composition of Organic Aerosols in the Central Arctic during Spring and Summer B. Heutte et al. https://doi.org/10.1021/acs.est.5c09788
- Effects of the Biosurfactant Rhamnolipid on the hygroscopicity and cloud condensation nuclei activity (CCN) of ammonium sulfate aerosols W. Fang et al. https://doi.org/10.1016/j.atmosres.2026.108950
Saved (final revised paper)
Latest update: 03 Jun 2026
Short summary
This study provides valuable insights to improve cloud condensation nuclei (CCN) estimations at a high-altitude remote site which is influenced by nearby urban pollution. Understanding the factors that affect CCN estimations is essential to improve the CCN data coverage worldwide and assess aerosol–cloud interactions on a global scale. This is crucial for improving climate models, since aerosol–cloud interactions are the most important source of uncertainty in climate projections.
This study provides valuable insights to improve cloud condensation nuclei (CCN) estimations at...
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