Articles | Volume 10, issue 1
https://doi.org/10.5194/amt-10-83-2017
© 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/amt-10-83-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
06 Jan 2017
Research article |
| 06 Jan 2017
Profiling aerosol optical, microphysical and hygroscopic properties in ambient conditions by combining in situ and remote sensing
IAASARS, National Observatory of Athens, Athens, Greece
Vassilis Amiridis
IAASARS, National Observatory of Athens, Athens, Greece
Franco Marenco
Satellite Applications, Met Office, Exeter, UK
Athanasios Nenes
Schools of Earth and Atmospheric Sciences and Chemical and
Biomolecular Engineering, Georgia Institute of Technology, Atlanta, Georgia,
USA
IERSD, National Observatory of Athens, Athens, Greece
ICE-HT, Foundation for Research and Technology Hellas, Patras, Greece
Eleni Marinou
IAASARS, National Observatory of Athens, Athens, Greece
Laboratory of Atmospheric Physics, Aristotle University of
Thessaloniki, Thessaloniki, Greece
Stavros Solomos
IAASARS, National Observatory of Athens, Athens, Greece
Phil Rosenberg
School of Earth and Environment, University of Leeds, Leeds, UK
Jamie Trembath
Facility for Airborne Atmospheric Measurements (FAAM), Cranfield,
UK
Graeme J. Nott
Facility for Airborne Atmospheric Measurements (FAAM), Cranfield,
UK
James Allan
School of Earth, Atmospheric and Environmental Sciences, University of
Manchester, Manchester, UK
National Centre for Atmospheric Science, University of
Manchester, Manchester, UK
Michael Le Breton
School of Earth, Atmospheric and Environmental Sciences, University of
Manchester, Manchester, UK
Asan Bacak
School of Earth, Atmospheric and Environmental Sciences, University of
Manchester, Manchester, UK
School of Earth, Atmospheric and Environmental Sciences, University of
Manchester, Manchester, UK
Carl Percival
School of Earth, Atmospheric and Environmental Sciences, University of
Manchester, Manchester, UK
Nikolaos Mihalopoulos
IERSD, National Observatory of Athens, Athens, Greece
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Cited
8 citations as recorded by crossref.
- Estimating cloud condensation nuclei concentrations from CALIPSO lidar measurements G. Choudhury & M. Tesche 10.5194/amt-15-639-2022
- GARRLiC and LIRIC: strengths and limitations for the characterization of dust and marine particles along with their mixtures A. Tsekeri et al. 10.5194/amt-10-4995-2017
- Assessing Sea-State Effects on Sea-Salt Aerosol Modeling in the Lower Atmosphere Using Lidar and In-Situ Measurements G. Varlas et al. 10.3390/rs13040614
- Use of lidar aerosol extinction and backscatter coefficients to estimate cloud condensation nuclei (CCN) concentrations in the southeast Atlantic E. Lenhardt et al. 10.5194/amt-16-2037-2023
- Helicopter-borne observations of the continental background aerosol in combination with remote sensing and ground-based measurements S. Düsing et al. 10.5194/acp-18-1263-2018
- Vertical profiles of aerosol mass concentration derived by unmanned airborne in situ and remote sensing instruments during dust events D. Mamali et al. 10.5194/amt-11-2897-2018
- Investigation and Analysis of All-Day Atmospheric Water Vapor Content over Xi’an Using Raman Lidar and Sunphotometer Measurements Y. Wang et al. 10.3390/rs10060951
- A First Case Study of CCN Concentrations from Spaceborne Lidar Observations A. Georgoulias et al. 10.3390/rs12101557
8 citations as recorded by crossref.
- Estimating cloud condensation nuclei concentrations from CALIPSO lidar measurements G. Choudhury & M. Tesche 10.5194/amt-15-639-2022
- GARRLiC and LIRIC: strengths and limitations for the characterization of dust and marine particles along with their mixtures A. Tsekeri et al. 10.5194/amt-10-4995-2017
- Assessing Sea-State Effects on Sea-Salt Aerosol Modeling in the Lower Atmosphere Using Lidar and In-Situ Measurements G. Varlas et al. 10.3390/rs13040614
- Use of lidar aerosol extinction and backscatter coefficients to estimate cloud condensation nuclei (CCN) concentrations in the southeast Atlantic E. Lenhardt et al. 10.5194/amt-16-2037-2023
- Helicopter-borne observations of the continental background aerosol in combination with remote sensing and ground-based measurements S. Düsing et al. 10.5194/acp-18-1263-2018
- Vertical profiles of aerosol mass concentration derived by unmanned airborne in situ and remote sensing instruments during dust events D. Mamali et al. 10.5194/amt-11-2897-2018
- Investigation and Analysis of All-Day Atmospheric Water Vapor Content over Xi’an Using Raman Lidar and Sunphotometer Measurements Y. Wang et al. 10.3390/rs10060951
- A First Case Study of CCN Concentrations from Spaceborne Lidar Observations A. Georgoulias et al. 10.3390/rs12101557
Latest update: 14 Dec 2024
Short summary
The In situ/Remote sensing aerosol Retrieval Algorithm (IRRA) provides vertical profiles of aerosol optical, microphysical and hygroscopic properties from airborne in situ and remote sensing measurements. The algorithm is highly advantageous for aerosol characterization in humid conditions, employing the ISORROPIA II model for acquiring the particle hygroscopic growth. IRRA can find valuable applications in aerosol–cloud interaction schemes and in validation of active space-borne sensors.
The In situ/Remote sensing aerosol Retrieval Algorithm (IRRA) provides vertical profiles of...
