Articles | Volume 18, issue 2
https://doi.org/10.5194/acp-18-1263-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/acp-18-1263-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
31 Jan 2018
Research article |
| 31 Jan 2018
| 31 Jan 2018
Helicopter-borne observations of the continental background aerosol in combination with remote sensing and ground-based measurements
Sebastian Düsing
CORRESPONDING AUTHOR
Leibniz Institute for Tropospheric Research (TROPOS), 04318 Leipzig, Germany
Birgit Wehner
Leibniz Institute for Tropospheric Research (TROPOS), 04318 Leipzig, Germany
Patric Seifert
Leibniz Institute for Tropospheric Research (TROPOS), 04318 Leipzig, Germany
Albert Ansmann
Leibniz Institute for Tropospheric Research (TROPOS), 04318 Leipzig, Germany
Holger Baars
Leibniz Institute for Tropospheric Research (TROPOS), 04318 Leipzig, Germany
Florian Ditas
Leibniz Institute for Tropospheric Research (TROPOS), 04318 Leipzig, Germany
Multiphase Chemistry Department, Max Planck Institute for Chemistry, P.O. Box 3060, 55020, Mainz, Germany
Silvia Henning
Leibniz Institute for Tropospheric Research (TROPOS), 04318 Leipzig, Germany
Nan Ma
Leibniz Institute for Tropospheric Research (TROPOS), 04318 Leipzig, Germany
Laurent Poulain
Leibniz Institute for Tropospheric Research (TROPOS), 04318 Leipzig, Germany
Holger Siebert
Leibniz Institute for Tropospheric Research (TROPOS), 04318 Leipzig, Germany
Alfred Wiedensohler
Leibniz Institute for Tropospheric Research (TROPOS), 04318 Leipzig, Germany
Andreas Macke
Leibniz Institute for Tropospheric Research (TROPOS), 04318 Leipzig, Germany
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Total article views: 3,324 (including HTML, PDF, and XML)
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- A First Case Study of CCN Concentrations from Spaceborne Lidar Observations A. Georgoulias et al. 10.3390/rs12101557
- MOPSMAP v1.0: a versatile tool for the modeling of aerosol optical properties J. Gasteiger & M. Wiegner 10.5194/gmd-11-2739-2018
- Airborne measurements of cloud condensation nuclei (CCN) vertical structures over Southern China X. Xu et al. 10.1016/j.atmosres.2021.106012
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- Size-resolved cloud condensation nuclei activity of aerosol particles sampled above the mixing layer Z. Deng et al. 10.1080/02786826.2024.2330475
- Cable-car measurements of vertical aerosol profiles impacted by mountain-valley breezes in Lushan Mountain, East China J. Duan et al. 10.1016/j.scitotenv.2020.144198
- Retrieving ice-nucleating particle concentration and ice multiplication factors using active remote sensing validated by in situ observations J. Wieder et al. 10.5194/acp-22-9767-2022
- The HD(CP)2 Observational Prototype Experiment (HOPE) – an overview A. Macke et al. 10.5194/acp-17-4887-2017
18 citations as recorded by crossref.
- Tropospheric and stratospheric wildfire smoke profiling with lidar: mass, surface area, CCN, and INP retrieval A. Ansmann et al. 10.5194/acp-21-9779-2021
- Annual cycle of aerosol properties over the central Arctic during MOSAiC 2019–2020 – light-extinction, CCN, and INP levels from the boundary layer to the tropopause A. Ansmann et al. 10.5194/acp-23-12821-2023
- Wildfire smoke, Arctic haze, and aerosol effects on mixed-phase and cirrus clouds over the North Pole region during MOSAiC: an introduction R. Engelmann et al. 10.5194/acp-21-13397-2021
- Aerosol optical properties within the atmospheric boundary layer predicted from ground-based observations compared to Raman lidar retrievals during RITA-2021 X. Liu et al. 10.5194/acp-24-9597-2024
- A multiwavelength numerical model in support of quantitative retrievals of aerosol properties from automated lidar ceilometers and test applications for AOT and PM10 estimation D. Dionisi et al. 10.5194/amt-11-6013-2018
- Comparison of scanning aerosol lidar and in situ measurements of aerosol physical properties and boundary layer heights H. Zhang et al. 10.5194/ar-2-135-2024
- Profiles of cloud condensation nuclei, dust mass concentration, and ice-nucleating-particle-relevant aerosol properties in the Saharan Air Layer over Barbados from polarization lidar and airborne in situ measurements M. Haarig et al. 10.5194/acp-19-13773-2019
- Estimation of cloud condensation nuclei number concentrations and comparison to in situ and lidar observations during the HOPE experiments C. Genz et al. 10.5194/acp-20-8787-2020
- Dust mass, cloud condensation nuclei, and ice-nucleating particle profiling with polarization lidar: updated POLIPHON conversion factors from global AERONET analysis A. Ansmann et al. 10.5194/amt-12-4849-2019
- A First Case Study of CCN Concentrations from Spaceborne Lidar Observations A. Georgoulias et al. 10.3390/rs12101557
- MOPSMAP v1.0: a versatile tool for the modeling of aerosol optical properties J. Gasteiger & M. Wiegner 10.5194/gmd-11-2739-2018
- Airborne measurements of cloud condensation nuclei (CCN) vertical structures over Southern China X. Xu et al. 10.1016/j.atmosres.2021.106012
- Measurement report: Comparison of airborne, in situ measured, lidar-based, and modeled aerosol optical properties in the central European background – identifying sources of deviations S. Düsing et al. 10.5194/acp-21-16745-2021
- Optical properties of coated black carbon aggregates: numerical simulations, radiative forcing estimates, and size-resolved parameterization scheme B. Romshoo et al. 10.5194/acp-21-12989-2021
- The dual-field-of-view polarization lidar technique: a new concept in monitoring aerosol effects in liquid-water clouds – theoretical framework C. Jimenez et al. 10.5194/acp-20-15247-2020
- Size-resolved cloud condensation nuclei activity of aerosol particles sampled above the mixing layer Z. Deng et al. 10.1080/02786826.2024.2330475
- Cable-car measurements of vertical aerosol profiles impacted by mountain-valley breezes in Lushan Mountain, East China J. Duan et al. 10.1016/j.scitotenv.2020.144198
- Retrieving ice-nucleating particle concentration and ice multiplication factors using active remote sensing validated by in situ observations J. Wieder et al. 10.5194/acp-22-9767-2022
1 citations as recorded by crossref.
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