Cloudnet remote sensing retrievals of cloud properties during the Arctic Ocean 2018 expedition
Jutta Vüllers, Peggy Achtert, Ian Brooks, Ryan Neely III, Barbara Brooks
This dataset consists of a range of output products from the Cloudnet algorithm. Cloudnet combines cloud radar, ceilometer, microwave radiometer, and radiosonde profiles averaged to a common grid at the cloud radar resolution to derive a set of retrieved cloud properties. These include: (1) macrophysical properties such as cloud base and top heights, liquid and ice water paths, (2) cloud fraction, (3) microphysical particle classifications such as ice, liquid, mixed-phase, and aerosol, (4) estimates of particle effective radii, liquid and ice water contents, and precipitation rates.
The Cloudnet products are designed to be used for evaluation of weather forecast models as well as fundamental process studies of cloud.
This dataset derives from measurements made during the Arctic Ocean 2018 expedition on icebreaker Oden during summer 2018 (August 1 – September 21). Data is presented on a 30-second time base, and approximately 24 m vertical resolution.
AtmosphereCloudsRemote sensing of clouds and fogsCloudnetLidarCloud radarArctic OceanAO2018Icebreaker Oden
Download dataName
Version
Citation
References
Vüllers J, Achtert P, Brooks IM, Tjernström M, Prytherch J, Neely III R (2020) Meteorological and cloud conditions during the Arctic Ocean 2018 expedition. Atmos Chem Phys Discuss. (in review). https://doi.org/10.5194/acp-2020-219
Data description
Data are provided as the standard set of Cloudnet output files. All data files are netCDF, with one file per day. The data are organized as subsets in seven directories, each containing 40 nc files:
classification — Basic particle type classification for each time/height grid point (liquid, ice, aerosol...), cloud boundary altitudes.
categorize — The various input data and some derived quantities, used by cloudnet (radar reflectivity, lidar backscatter, profiles of temperature, humidity, wind, etc).
lwc-adiabatic-method — Cloud liquid water content derived from an assumption of adiabatic profiles, also liquid water path.
lwc-scaled-adiabatic — Cloud liquid water content derived from an assumption of adiabatic profiles scaled to the total liquid water path (derived from microwave radiometer retrieval), also liquid water path.
iwc-Z-T-method — Ice water content and total ice water path.
drizzle — Drizzle precipitation rate.
lwf-Z-rainrate — Liquid water precipitation rate, and droplet properties.
All files include time and position (latitude, longitude), and descriptions of the variables and methods and assumptions used to derive them. Retrieval uncertainties are given for most variables.
An additional directory contains png image files with various plots of the data.
Total file size: 16.9 GB
Comments
Please cite the article by Vüllers et al. (2020) when using this dataset.
Details of the cloudnet algorithm, including technical reports can be found at Cloudnet.
The underlying measurement data were collected during the Arctic Ocean 2018 expedition on board the Swedish icebreaker (I/B) Oden, which was organized by the Swedish Polar Research Secretariat.
Version history
Version 3.0
Initial release.
Version 2.0
Not published.
Version 1.0
Not published.
Project
Arctic Ocean 2018. Measurements funded by the UK Natural Environment Research Council (grant No. NE/R009686/1). The cloud radar, lidar, HATPRO radiometer, and radiosounding system were provided by the Atmospheric Measurement & Observing Facility (AMOF) of the UK National Centre for Atmospheric Science (NCAS). These data are part of the Arctic Climate Across Scales (ACAS) project, funded by the Knut and Alice Wallenberg Foundation. Project PI Michael Tjernström, Department of Meteorology, Stockholm University (MISU). The project was also partly funded by the Bolin Centre for Climate Research.
Publisher
Bolin Centre Database
License
First name
Ian
Last name or organisation
Brooks
Email address
Address
School of Earth and Environment; University of Leeds
Postal code
LS2 9JT
City
Leeds
Country
United Kingdom
GCMD science keyword
Earth science > Atmosphere > Clouds
GCMD location
Ocean > Arctic Ocean
Dataset language
English
Begin date
2018-08-03
End date
2018-09-19
DOI
Time
Versions
- 4 2022-01-26T13:47:47.825533+00:00
- 3 2022-01-26T13:47:47.233801+00:00
- 4 2021-12-03T16:09:29.887468+00:00
- 3 2021-12-03T16:09:29.877146+00:00
- 4 2021-10-29T06:23:12.415003+00:00
- 4 2021-10-26T09:31:53.843363+00:00
- 3 2021-10-26T09:31:53.802193+00:00
- 4 2021-03-24T12:51:52.411123+00:00
- 4 2021-03-24T12:51:52+00:00
- 3 2020-10-29T14:11:34.158666+00:00
- 3 2020-10-29T14:11:34+00:00