This website uses cookies. By continuing to use this website you are agreeing to our use of cookies. 

Dataset

 

Arctic Cloud Summer Expedition (ACSE): University of Leeds Mobotix camera imagery on board Icebreaker Oden

Update Frequency: Not Planned
Latest Data Update: 2018-03-22
Status: Final
Online Status: ONLINE
Publication State: Citable
Publication Date: 2018-04-14
Download Stats: last 12 months
Dataset Size: 342.16K Files | 196GB

Abstract

This dataset contains digital imagery from the University of Leed's three 'Mobotix MX-M24M IP' cameras mounted on board the Swedish Icebreaker Oden durning Arctic Cloud Summer Expedition (ACSE). ACSE took place in the Arctic during summer 2014. These imagery were used to complement a suite of other observations taken during the cruise. Those of the UK contribution, as well as selected other data, are available within the associated data collection in the Centre for Environmental Data Analysis (CEDA) archives. Other cruise data may be available in the NOAA ACSE and The Bolin Centre for Climate Research SWERUS (SWEdish-Russian-US) holdings - see online resources linked to this record.

The three camera units were mounted pointing in the following directions:

- Camera 1: pointing to starboard,
- Camera 2: pointing to bow,
- Camera 3: pointing to port.

The Arctic Cloud Summer Expedition (ACSE) was a collaboration between the University of Leeds, the University of Stockholm, and NOAA-CIRES. ACSE aimed to study the response of Arctic boundary layer cloud to changes in surface conditions in the Arctic Ocean as a working package of the larger Swedish-Russian-US Investigation of Climate, Cryosphere and Carbon interaction (SWERUS-C3) Expedition in Summer 2014. This expedition was a core component to the overall SWERUS-C3 programme and was supported by the Swedish Polar Research Secretariat.

ACSE took place during a 3-month cruise of the Swedish Icebreaker Oden from Tromso, Norway to Barrow, Alaska and back over the summer of 2014. During this cruise ACSE scientists measured surface turbulent exchange, boundary layer structure, and cloud properties. Many of the measurements used remote sensing approaches - radar, lidar, and microwave radiometers - to retrieve vertical profiles of the dynamic and microphysical properties of the lower atmosphere and cloud.

The UK participation of ACSE was funded by the Natural Environment Research Council (NERC, grant: NE/K011820/1) and involved instrumentation from the Atmospheric Measurement Facility of the UK's National Centre for Atmospheric Science (NCAS AMF).

Citable as:  Brooks, I.M.; Prytherch, J. (2018): Arctic Cloud Summer Expedition (ACSE): University of Leeds Mobotix camera imagery on board Icebreaker Oden. Centre for Environmental Data Analysis, date of citation. doi:10.5285/f2566ac78a664a58a23a42e9e45da788. https://dx.doi.org/10.5285/f2566ac78a664a58a23a42e9e45da788
Abbreviation: Not defined
Keywords: cruise, imagery, sea-ice

Details

Previous Info:
No news update for this record
Previously used record identifiers:
No related previous identifiers.
Access rules:
Access to these data is available to any registered CEDA user. Please Login or Register for an account to gain access.
Use of these data is covered by the following licence: http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
Data lineage:

Data were collected, quality controlled and prepared for archiving by the instrument scientists before upload to the Centre for Environmental Data Analysis (CEDA) for long term archiving.

Data Quality:
Data quality were checked by the ACSE project data author before supplying to CEDA. Further information on quality may be available in related documentation.
File Format:
Images are JPEG formatted.

Related Documents

No documents related to this record were found.

No variables found.

Coverage
Temporal Range
Start time:
2014-07-04T12:57:48
End time:
2014-10-03T06:16:17
Geographic Extent

 
85.2300°
 
-180.0000°
 
180.0000°
 
69.6600°