Use of lidar aerosol extinction and backscatter coefficients to estimate cloud condensation nuclei (CCN) concentrations in the southeast Atlantic

to related objects

Abstract S) greater than 0.25 % and dry ambient conditions above the stratocumulus deck, where relative humidity (RH) is less than 50 %. We find CCN–HSRL-2 Pearson correlation coefficients between 0.95–0.97 for different parts of the seasonal burning cycle that suggest fundamental similarities in biomass burning aerosol (BBA) microphysical properties. We find that ORACLES campaign-average values of in situ CCN and in situ extinction coefficients are qualitatively similar to those from other regions and aerosol types, demonstrating overall representativeness of our data set. We compute CCN–backscatter and CCN–extinction regressions that can be used to resolve vertical CCN concentrations across entire above-cloud lidar curtains. These lidar-derived CCN concentrations can be used to evaluate model performance, which we illustrate using an example CCN concentration curtain from the Weather Research and Forecasting Model coupled with physics packages from the Community Atmosphere Model version 5 (WRF-CAM5). These results demonstrate the utility of deriving vertically resolved CCN concentrations from lidar observations to expand the spatiotemporal coverage of limited or unavailable in situ observations.

Location
Deutsche Nationalbibliothek Frankfurt am Main
Extent
Online-Ressource
Language
Englisch

Bibliographic citation
Use of lidar aerosol extinction and backscatter coefficients to estimate cloud condensation nuclei (CCN) concentrations in the southeast Atlantic ; volume:16 ; number:7 ; year:2023 ; pages:2037-2054 ; extent:18
Atmospheric measurement techniques ; 16, Heft 7 (2023), 2037-2054 (gesamt 18)

Creator
Lenhardt, Emily D.
Gao, Lan
Redemann, Jens
Xu, Feng
Burton, Sharon P.
Cairns, Brian
Chang, Ian
Ferrare, Richard A.
Hostetler, Chris A.
Saide, Pablo E.
Howes, Calvin
Shinozuka, Yohei
Stamnes, Snorre
Kacarab, Mary
Dobracki, Amie
Wong, Jenny
Freitag, Steffen
Nenes, Athanasios

DOI
10.5194/amt-16-2037-2023
URN
urn:nbn:de:101:1-2023042005180646810693
Rights
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Last update
14.08.2025, 10:48 AM CEST

Data provider

This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Show original at data provider

Associated

  • Lenhardt, Emily D.
  • Gao, Lan
  • Redemann, Jens
  • Xu, Feng
  • Burton, Sharon P.
  • Cairns, Brian
  • Chang, Ian
  • Ferrare, Richard A.
  • Hostetler, Chris A.
  • Saide, Pablo E.
  • Howes, Calvin
  • Shinozuka, Yohei
  • Stamnes, Snorre
  • Kacarab, Mary
  • Dobracki, Amie
  • Wong, Jenny
  • Freitag, Steffen
  • Nenes, Athanasios

Other Objects (12)

Ammonium nitrate evaporation and nitric acid condensation in DMT CCN counters

Ammonium nitrate evaporation and nitric acid condensation in DMT CCN counters

Parameterization of cloud droplet formation for global and regional models: including adsorption activation from insoluble CCN

Parameterization of cloud droplet formation for global and regional models: including adsorption activation from insoluble CCN

Deposition freezing, pore condensation freezing and adsorption: three processes, one description?

Deposition freezing, pore condensation freezing and adsorption: three processes, one description?

Cloud condensation nuclei activity and droplet activation kinetics of wet processed regional dust samples and minerals

Cloud condensation nuclei activity and droplet activation kinetics of wet processed regional dust samples and minerals

Inferring thermodynamic properties from CCN activation experiments: single-component and binary aerosols

Inferring thermodynamic properties from CCN activation experiments: single-component and binary aerosols

CCN activity and droplet growth kinetics of fresh and aged monoterpene secondary organic aerosol

CCN activity and droplet growth kinetics of fresh and aged monoterpene secondary organic aerosol

Parameterizing the competition between homogeneous and heterogeneous freezing in cirrus cloud formation – monodisperse ice nuclei

Parameterizing the competition between homogeneous and heterogeneous freezing in cirrus cloud formation – monodisperse ice nuclei

Droplet activation parameterization: the population-splitting concept revisited

Droplet activation parameterization: the population-splitting concept revisited

ISORROPIA II: a computationally efficient thermodynamic equilibrium model for K + –Ca 2+ –Mg 2+ –NH 4 + –Na + –SO 4 2− –NO 3 − –Cl − –H 2 O aerosols

ISORROPIA II: a computationally efficient thermodynamic equilibrium model for K + –Ca 2+ –Mg 2+ –NH 4 + –Na + –SO 4 2− –NO 3 − –Cl − –H 2 O aerosols

Understanding the contributions of aerosol properties and parameterization discrepancies to droplet number variability in a global climate model

Understanding the contributions of aerosol properties and parameterization discrepancies to droplet number variability in a global climate model

Cloud droplet activation: solubility revisited

Cloud droplet activation: solubility revisited

Parameterizing the competition between homogeneous and heterogeneous freezing in ice cloud formation – polydisperse ice nuclei

Parameterizing the competition between homogeneous and heterogeneous freezing in ice cloud formation – polydisperse ice nuclei

Related objects