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Ice Nucleating Particle concentrations from Rothera research station in Antarctica measured using the offline, wash-off filter method from filters which were exposed in February 2023

Ice Nucleating Particle concentrations were measured by exposing polycarbonate filters for 48 hours at East Beach, Rothera on the Antarctic peninsula as part of the Southern Ocean Clouds (SOC) project. The filters were stored and shipped back to the British Antarctic Survey at -20 C, where they were analysed using the offline, wash-off filter method following the Vali (1971) methodology and using a droplet freezing array set-up similar to the one described by Budke and Koop (2015). The dataset presented here is from filters which were collected between the 4th of February 2023 13:50 UTC and the 22nd of February 2023 13:50 UTC: which covers the first SOC special observing period during which aircraft measurements of clouds and aerosol were conducted around Rothera station. The Ice Nucleating Particle concentrations are used to derive a parameterisation for INP concentrations as a function of temperature which is subsequently used to investigate how processes in mixed-phase clouds (INP and droplet number concentration and the spatial distribution of liquid and ice) are represented in the Met Office Unified Model (MetUM); and the sensitivity of the MetUM to changes in these processes and resulting cloud radiative effect.

The Southern Ocean Clouds was supported by NERC as part of the CloudSense Programme and it was funded by the project grant number NE/T006404/1.

Simple

Date (Creation)
2025-06-27
Date (Revision)
2025-06-27
Date (Publication)
2025-06-27
Date (released)
2025-06-27
Edition
1.0
Unique resource identifier
https://doi.org/10.5285/ae7f3aea-b0d4-401d-96e7-103eabb9da34
Codespace
doi
Unique resource identifier
GB/NERC/BAS/PDC/02075
Codespace
https://data.bas.ac.uk/
Unique resource identifier
NE/T006404/1
Codespace
award
Other citation details
Please cite this item as: van den Heuvel, F., Lachlan-Cope, T., Kinney, N., & Smith, D. (2025). Ice Nucleating Particle concentrations from Rothera research station in Antarctica measured using the offline, wash-off filter method from filters which were exposed in February 2023 (Version 1.0) [Data set]. NERC EDS UK Polar Data Centre. https://doi.org/10.5285/ae7f3aea-b0d4-401d-96e7-103eabb9da34
Credit
No credit.
Status
completed Completed
Author
  British Antarctic Survey - van den Heuvel, Floortje ( Researcher )
Author
  British Antarctic Survey - Lachlan-Cope, Thomas ( Researcher )
Author
  British Antarctic Survey - Kinney, Nina ( Researcher )
Author
  University of East Anglia - Smith, Dan ( Researcher )
Point of contact
  NERC EDS UK Polar Data Centre
British Antarctic Survey, High Cross, Madingley Road , Cambridge , Cambridgeshire , CB3 0ET , United Kingdom
+44 (0)1223 221400
https://www.bas.ac.uk/team/business-teams/information-services/uk-polar-data-centre/
Maintenance and update frequency
asNeeded As needed
Maintenance note
completed Completed
Global Change Master Directory (GCMD) Science Keywords
  • EARTH SCIENCE > Atmosphere > Aerosols
  • EARTH SCIENCE > Atmosphere > Clouds
Theme
  • Antarctica
  • CloudSense
  • Clouds
  • INP
  • Ice Nucleating Particles
  • SOC
  • Southern Ocean
  • Southern Ocean Clouds
  • aerosol
  • filter sampling
Place
  • East Beach, Rothera Antarctica
GEMET - INSPIRE themes, version 1.0
  • Atmospheric conditions
Access constraints
otherRestrictions Other restrictions
Other constraints
no limitations to public access
Access constraints
otherRestrictions Other restrictions
Other constraints
no limitations
Use constraints
license License
Other constraints
Open Government Licence v3.0
Use constraints
otherRestrictions Other restrictions
Other constraints
Data are supplied under Open Government Licence v3.0
Use constraints
otherRestrictions Other restrictions
Other constraints
None
Unique resource identifier
url
Codespace
url
Association Type
crossReference Cross reference
Unique resource identifier
doi
Codespace
doi
Association Type
crossReference Cross reference
Unique resource identifier
doi
Codespace
doi
Association Type
crossReference Cross reference
Spatial representation type
textTable Text, table
Metadata language
engEnglish
Character set
utf8 UTF8
Topic category
  • Climatology, meteorology, atmosphere
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Begin date
2023-02-04
End date
2023-02-22
Supplemental Information
It is recommended that careful attention be paid to the contents of any data, and that the author be contacted with any questions regarding appropriate use. If you find any errors or omissions, please report them to polardatacentre@bas.ac.uk.
Date (Publication)
2008-11-12
Publisher
  European Petroleum Survey Group
https://www.epsg-registry.org/
Unique resource identifier
urn:ogc:def:crs:EPSG::3031
Version
6.18.3

Distributor

Distributor
  NERC EDS UK Polar Data Centre
British Antarctic Survey, High Cross, Madingley Road , Cambridge , Cambridgeshire , CB3 0ET , United Kingdom
+44 (0)1223 221400
https://www.bas.ac.uk/team/business-teams/information-services/uk-polar-data-centre/
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text/csv
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Transfer size
24576
OnLine resource
Get Data ( WWW:LINK-1.0-http--link )

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dataset Dataset
Statement

Methodology:

At East Beach hut, in Rothera, 30 Nuclepore Hydrophilic Membrane filters (see details below) were loaded in to filter holders for the magazine of the DIGITEL DPA14 LoVol automatic sampler. To avoid contamination, the filter holders and materials were cleaned with IPA and lint free wipes and the work was conducted inside a laminar flow hood. The DIGITEL DPA14 was set to change filters every 48 hours, and to sample at a flow rate of 15 Litres per minute. For each batch of 30 filters, at least 1 filter was not exposed to air and used as a handling blank to assess background contamination. Once the DIGITEL DPA14 had run through all of the filters, the magazine and filter holders were emptied in the laminar flow hood and each filter was packed in a separate, numbered plastic bag. The filters were stored and shipped to the British Antarctic Survey in Cambridge at -20C.

At the British Antarctic Survey the filters were put in 10 mL HPLC vials (P/N 055058) with 4 mL of purified water (18.2 MΩ cm at 25C, 0.22-μm-filtered) produced by a Milli-Q water purification system (Millipore, Watford, UK) and shaken for 20 minutes on an automatic shaker to create suspensions of purified water with particles which were washed off the filters. These were then put on an automatic stirrer and 1 μL droplets of the suspension were pipetted onto hydrophobic glass slides (see below) which had been pre-cleaned with IPA and lint-free paper. The hydrophobic glass slides were put on a Peltier cooling stage (details below) with squalene between the glass slide and the stage for thermal conduction. An in-house built plastic separator physically separated the droplets to prevent impacts from the Wegener-Bergeron-Findeisen effect. Another glass slide was put on top for this same reason, and the stack (slide-seperator with droplets-slide) was kept in place with an in-house built plastic holder. The Peltier stage was then set to cool at the constant rate of 1C/minute to -40C until all the droplets were frozen. By monitoring the droplets on the Peltier cooling stage with a camera, the temperature at which each droplet froze could be measured. The image taking, automatic identification of droplet freeze-up from the images and linking of the timing of each droplet freeze-up to the corresponding Peltier cold stage temperature, was done using in-house Python software (OpenCV and Keras packages)

Data collection:

Sample collection: DIGITEL DPA14 automatic filter sampler, Nuclepore Hydrophilic Membrane, 0.2 μm pore size, 47 mm track edged filters (10417012).

Sample analysis: For methodology see: Budke and Koop, 2015.

cooling: Linkam LTS120 with T95-LinkPad temperature controlled stage, Julabo F250 recirculating cooler.

set-up: Marienfeld (MARI0895040) hydrophobic glass slides, Sigma-Aldrich (S3626-100ML) squalene. Microsoft LifeCam webcam. In-house built droplets spacer, holder and lighting

Software: (picture taking and processing) in-house Python software

Data quality:

Each batch of 30 automatically collected filters from the DIGITEL DPA14 contained at least one filter which had not been exposed to ambient air and was therefore kept as a handling blank. The median temperature for the handling blanks was -26.8C and we therefore consider -26C as a reasonable cut-off above which we can distinguish ice nucleating activity on our filters.

We also ran Milli-Q blanks on each day before analysing filter samples to assess any background contamination in the lab or in the Milli-Q water system. We would not run any samples if the temperatures for this blank were above the handling blank temperature of -26C.

This dataset has not been corrected for background contamination, as this would lead to binning of the data and loss of resolution. Furthermore, background correction was not necessary for the publication related to this dataset.

File identifier
ae7f3aea-b0d4-401d-96e7-103eabb9da34 XML
Metadata language
engEnglish
Character set
utf8 UTF8
Hierarchy level
dataset Dataset
Hierarchy level name
dataset
Date stamp
2025-06-27
Metadata standard name
ISO 19115 Geographic Information - Metadata
Metadata standard version
ISO 19115:2003(E)
Point of contact
  NERC EDS UK Polar Data Centre
British Antarctic Survey, High Cross, Madingley Road , Cambridge , Cambridgeshire , CB3 0ET , United Kingdom
+44 (0)1223 221400
https://www.bas.ac.uk/team/business-teams/information-services/uk-polar-data-centre/
 
 

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Keywords

Antarctica CloudSense Clouds INP Ice Nucleating Particles SOC Southern Ocean Southern Ocean Clouds aerosol filter sampling
GEMET - INSPIRE themes, version 1.0
Atmospheric conditions
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > Atmosphere > Aerosols EARTH SCIENCE > Atmosphere > Clouds

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