Millimeter cloud radar Doppler moments measurements from the high-Arctic ASCOS expedition 2008
Matthew Shupe
Cloud information data was collected using a ship-based vertically pointing millimeter cloud radar (MMCR), which is a Doppler radar at the Ka-band, transmitting at 34 GHz. It is very sensitive and ideal for probing low-level clouds. The available variables include the radar reflectivity, the mean Doppler velocity of all hydrometeors and the width of the Doppler spectrum, for each measurement volume as a function of height. Full Doppler spectra is available on request.
AtmosphereCloudsASCOSMeteorologyHigh ArcticArctic boundary layerArctic cloudsCloudsRemote sensing
Download dataVisit web siteName
Version
Citation
References
Tjernström, M. et al. 2014. The Arctic Summer Cloud Ocean Study (ASCOS): overview and experimental design. Atmospheric Chemistry and Physics, 14, 2823–2869. https://doi.org/10.5194/acp-14-2823-2014
Data description
This data set includes measurements from a ground-based, vertically-pointing, Millimeter Cloud Radar (MMCR) which operates at 34-GHz. Data include time-height fields of radar reflectivity, mean Doppler velocity, and Doppler spectrum width, as well as cloud layer base and height as derived from the radar measurements. The MMCR is operated using 4 alternating acquisition modes, each optimized for unique atmospheric conditions. These modes are optimally combined using the ARSCL technique (Clothiaux et al. 2000 JAM) to provide a comprehensive radar measurement data set for the full troposphere. All files are in netCDF format and thus contain data set and field-specific attributes in the files.
This is a large data set; please access the data via:<br /> [ftp://ftp1.esrl.noaa.gov/psd3/cruises/ASCOS_2008/ODEN/radar/mmcr/DAMOCLES](ftp://ftp1.esrl.noaa.gov/psd3/cruises/ASCOS_2008/ODEN/radar/mmcr/DAMOCLES" title="ftp://ftp1.esrl.noaa.gov/psd3/cruises/ASCOS_2008/ODEN/radar/mmcr/DAMOCLES)
Comments
Project
Arctic Summer Cloud-Ocean Study 2008 (Ascos)
Publisher
Bolin Centre Database
First name
Michael
Last name or organisation
Tjernström
Email address
Address
Department of Meteorology; Stockholm University
Postal code
SE-106 91
City
Stockholm
Country
Sweden
GCMD science keyword
Earth science > Atmosphere
GCMD location
Ocean > Arctic Ocean
Dataset language
English
Begin date
2008-08-01
End date
2008-09-08

