Print Email Facebook Twitter Ground-based remote sensing scheme for monitoring aerosol-cloud interactions Title Ground-based remote sensing scheme for monitoring aerosol-cloud interactions Author Sarna, K. Russchenberg, H.W.J. Faculty Civil Engineering and Geosciences Department Geoscience and Engineering Date 2016-12-31 Abstract 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 gm—2 wide. For every LWP bin we present the correlation coefficient between ln re and lnATB, as well as ACIr (defined as ACIr = dln re=dlnATB, change in cloud droplet effective radius with aerosol concentration). Obtained values of ACIr are in the range 0.01–0.1. We show that ground-based remote sensing instruments used in synergy can efficiently and continuously monitor aerosol–cloud interactions To reference this document use: http://resolver.tudelft.nl/uuid:9be1a6b0-3ab1-473f-a2c4-01750f0b2d6d DOI https://doi.org/10.5194/amt-9-1039-2016 Publisher European Geosciences Union ISSN 1867-1381 Source Atmospheric Measurement Techniques, 9 (3) 2016 Part of collection Institutional Repository Document type journal article Rights (c) 2016 The Authors Files PDF 329783.pdf 2.7 MB Close viewer /islandora/object/uuid:9be1a6b0-3ab1-473f-a2c4-01750f0b2d6d/datastream/OBJ/view