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Title: Ground-based remote sensing scheme for monitoring aerosol–cloud interactions

A new method for continuous observation of aerosol–cloud interactions with ground-based remote sensing instruments is presented. The main goal of this method is to enable the monitoring of the change of the cloud droplet size due to the change in the aerosol concentration. We use high-resolution measurements from a lidar, a radar and a radiometer, which allow us to collect and compare data continuously. This method is based on a standardised data format from Cloudnet and can be implemented at any observatory where the Cloudnet data set is available. Two example case studies were chosen from the Atmospheric Radiation Measurement (ARM) Program deployment on Graciosa Island, Azores, Portugal, in 2009 to present the method. We use the cloud droplet effective radius ( r e) to represent cloud microphysical properties and an integrated value of the attenuated backscatter coefficient (ATB) below the cloud to represent the aerosol concentration. All data from each case study are divided into bins of the liquid water path (LWP), each 10 g m -2 wide. For every LWP bin we present the correlation coefficient between ln r e and ln ATB, as well as ACI r (defined as ACI r = -d ln r e dmore » ln ATB, change in cloud droplet effective radius with aerosol concentration). Obtained values of ACI r are in the range 0.01–0.1. In conclusion, we show that ground-based remote sensing instruments used in synergy can efficiently and continuously monitor aerosol–cloud interactions.« less
Authors:
 [1] ;  [1]
  1. Delft Univ. of Technology, Delft (The Netherlands)
Publication Date:
Type:
Accepted Manuscript
Journal Name:
Atmospheric Measurement Techniques (Online)
Additional Journal Information:
Journal Name: Atmospheric Measurement Techniques (Online); Journal Volume: 9; Journal Issue: 3; Journal ID: ISSN 1867-8548
Publisher:
European Geosciences Union
Research Org:
Delft Univ. of Technology, Delft (The Netherlands). TU Delft Climate Institute, Faculty of Civil Engineering and Geotechnology
Sponsoring Org:
USDOE
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES
OSTI Identifier:
1375411

Sarna, Karolina, and Russchenberg, Herman W. J.. Ground-based remote sensing scheme for monitoring aerosol–cloud interactions. United States: N. p., Web. doi:10.5194/amt-9-1039-2016.
Sarna, Karolina, & Russchenberg, Herman W. J.. Ground-based remote sensing scheme for monitoring aerosol–cloud interactions. United States. doi:10.5194/amt-9-1039-2016.
Sarna, Karolina, and Russchenberg, Herman W. J.. 2016. "Ground-based remote sensing scheme for monitoring aerosol–cloud interactions". United States. doi:10.5194/amt-9-1039-2016. https://www.osti.gov/servlets/purl/1375411.
@article{osti_1375411,
title = {Ground-based remote sensing scheme for monitoring aerosol–cloud interactions},
author = {Sarna, Karolina and Russchenberg, Herman W. J.},
abstractNote = {A new method for continuous observation of aerosol–cloud interactions with ground-based remote sensing instruments is presented. The main goal of this method is to enable the monitoring of the change of the cloud droplet size due to the change in the aerosol concentration. We use high-resolution measurements from a lidar, a radar and a radiometer, which allow us to collect and compare data continuously. This method is based on a standardised data format from Cloudnet and can be implemented at any observatory where the Cloudnet data set is available. Two example case studies were chosen from the Atmospheric Radiation Measurement (ARM) Program deployment on Graciosa Island, Azores, Portugal, in 2009 to present the method. We use the cloud droplet effective radius (re) to represent cloud microphysical properties and an integrated value of the attenuated backscatter coefficient (ATB) below the cloud to represent the aerosol concentration. All data from each case study are divided into bins of the liquid water path (LWP), each 10 g m-2 wide. For every LWP bin we present the correlation coefficient between ln re and ln ATB, as well as ACIr (defined as ACIr = -d ln re d ln ATB, change in cloud droplet effective radius with aerosol concentration). Obtained values of ACIr are in the range 0.01–0.1. In conclusion, we show that ground-based remote sensing instruments used in synergy can efficiently and continuously monitor aerosol–cloud interactions.},
doi = {10.5194/amt-9-1039-2016},
journal = {Atmospheric Measurement Techniques (Online)},
number = 3,
volume = 9,
place = {United States},
year = {2016},
month = {3}
}