Cloud microphysical properties retrieved from ground-based remote sensing at Ny-Ålesund (10 June 2016 - 8 October 2018)

The data contain time-height series of cloud liquid water content, ice water content, droplet and ice effective radii retrieved from ground-based remote sensing observations at the AWIPEV atmospheric observatory for the time period 10 June 2016 to 8 October 2018. The application of the cloud microph...

Full description

Bibliographic Details
Main Authors: Nomokonova, Tatiana, Ebell, Kerstin
Format: Dataset
Language:English
Published: PANGAEA 2019
Subjects:
AC3
Arctic Amplification
AWIPEV
AWIPEV_based
clouds
DATE/TIME
effective radius
File format
File name
File size
Ground-based remote sensing
ice water content
liquid water content
Monitoring station
MONS
NYA
Ny-Ålesund
Spitsbergen
Uniform resource locator/link to file
Ny Ålesund
Online Access:https://doi.pangaea.de/10.1594/PANGAEA.898556
https://doi.org/10.1594/PANGAEA.898556
Description
Summary:The data contain time-height series of cloud liquid water content, ice water content, droplet and ice effective radii retrieved from ground-based remote sensing observations at the AWIPEV atmospheric observatory for the time period 10 June 2016 to 8 October 2018. The application of the cloud microphysical retrieval algorithms is based on the Cloudnet Categorization product (Illingworth et al., 2007, doi:10.1175/BAMS-88-6-883), which can be downloaded via http://devcloudnet.fmi.fi. Time and height resolution are same as in the Cloudnet Categorization product. The radar reflectivity values given in the Cloudnet Categorization product have been bias corrected. 4.66 dB (3 dB) have been added to the original data for the time period 10 June 2016 - 26 July 2017 (29 July 2017 - 8 October 2018). In case of single-layer liquid clouds containing cloud droplets only, liquid water content and liquid effective radius have been retrieved following Frisch et al. (1998, doi:10.1029/98JD01827) and Frisch (2002, doi:10.1175/1520-0426(2002)019<0835:TROSCD>2.0.CO;2), respectively. In case of clouds containing liquid droplets only, a scaled adiabatic liquid water content profile has also been retrieved so that its integral matches the liquid water path from the microwave radiometer. For all height bins, where the Cloudnet Categorization product indicates the presence of ice, ice water content and ice effective radius have been retrieved as described by Hogan et al. (2006, doi:10.1175/JAM2340.1) and Delanoë et al. (2007, doi:10.1175/JAM2543.1).

Similar Items