New remote-sensing-based methodologies for aerosol-cloud studies: application on space-borne and ground based observations
Date Issued
April 2018
Abstract
Field studies of aerosol–cloud-dynamics interaction are presently in the focus of atmospheric research. Large
uncertainties in weather and future-climate predictions arise from gaps in our knowledge of the detailed impact of
aerosols on the evolution of liquid-water, mixed-phase and cirrus clouds. This unsatisfactory situation motivates
the strong efforts presently undertaken to investigate formation and evolution of cloud layers and associated
aerosol–cloud interactions. In this respect, several field campaigns took place in Cyprus region in the framework
of BACCHUS project since 2015. Aerosol particles influence cloud evolution, lifetime, and cloud microphysical
properties in two ways. Ground-based active remote sensing (Raman depolarization and Doppler lidar and radar
observations) can be used to continuously monitor the evolution of clouds in their natural (aerosol) environment,
at given meteorological conditions with high vertical and temporal resolution.
New methods were developed to retrieve height profiles of aerosol particle backscatter, extinction, and mass
concentration as well as of the number concentration of cloud condensation nuclei and ice-nucleating particles
(INPC). Furthermore, Doppler radar and lidar observations allow us to estimate the ice crystal number concentration
(ICNC) in mixed-phase and ice clouds. Measurement examples and INPC vs ICNC closure studies will
present. The case studies corroborate the usefulness of the new methods and their application to space-borne
datasets.
uncertainties in weather and future-climate predictions arise from gaps in our knowledge of the detailed impact of
aerosols on the evolution of liquid-water, mixed-phase and cirrus clouds. This unsatisfactory situation motivates
the strong efforts presently undertaken to investigate formation and evolution of cloud layers and associated
aerosol–cloud interactions. In this respect, several field campaigns took place in Cyprus region in the framework
of BACCHUS project since 2015. Aerosol particles influence cloud evolution, lifetime, and cloud microphysical
properties in two ways. Ground-based active remote sensing (Raman depolarization and Doppler lidar and radar
observations) can be used to continuously monitor the evolution of clouds in their natural (aerosol) environment,
at given meteorological conditions with high vertical and temporal resolution.
New methods were developed to retrieve height profiles of aerosol particle backscatter, extinction, and mass
concentration as well as of the number concentration of cloud condensation nuclei and ice-nucleating particles
(INPC). Furthermore, Doppler radar and lidar observations allow us to estimate the ice crystal number concentration
(ICNC) in mixed-phase and ice clouds. Measurement examples and INPC vs ICNC closure studies will
present. The case studies corroborate the usefulness of the new methods and their application to space-borne
datasets.
Funding(s)
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