Splash image

Cloudnet remote sensing retrievals of cloud properties during the Arctic Ocean 2018 expedition

Jutta Vüllers, Peggy Achtert, Ian Brooks, Ryan Neely III, Barbara Brooks

Newer versions of this dataset are available

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 data

Name

oden-ao-2018-cloudnet

Version

4

Citation

Jutta Vüllers, Peggy Achtert, Ian Brooks, Ryan Neely III, Barbara Brooks (2021) Cloudnet remote sensing retrievals of cloud properties during the Arctic Ocean 2018 expedition. Dataset version 4. Bolin Centre Database. https://doi.org/10.17043/oden-ao-2018-cloudnet-4

References

Vüllers J, Achtert P, Brooks IM, Tjernström M, Prytherch J, Burzik A, Neely III R (2021) Meteorological and cloud conditions during the Arctic Ocean 2018 expedition. Atmos Chem Phys 21:289⁠ – ⁠314. https://doi.org/10.5194/acp-21-289-2021

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:

categorize — The various input data and some derived quantities, used by cloudnet (radar reflectivity, lidar backscatter, profiles of temperature, humidity, wind, etc).

classification — Basic particle type classification for each time/height grid point (liquid, ice, aerosol...), cloud boundary altitudes.

drizzle — Drizzle precipitation rate.

iwc-Z-T-method — Ice water content and total ice water path.

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.

lwf-Z-rainrate — Liquid water precipitation rate, and droplet properties.

quicklooks — Daily quicklooks of measurement data (png image files).

All nc data 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.

Total file size: 11.6 GB (compressed 2.9 GB).

Comments

Please cite the article by Vüllers et al. (2021) when using this dataset.

Details of the cloudnet algorithm, including technical reports can be found at the Cloudnet data portal at the ACTRIS Data Centre node for cloud profiling, hosted by the Finnish Meteorological Institute (FMI).

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 4.0

Cloudnet internal LWP correction switched off as it was discarding data during fog events. Adjustment of radiosonde temperature profile interpolation within Cloudnet.

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

Open Data Commons Attribution License (ODC-By)

First name

Ian

Last name or organisation

Brooks

Email address

i.m.brooks@leeds.ac.uk

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

10.17043/oden-ao-2018-cloudnet-4

Time

2021-10-26T09:31:53.843363+00:00

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