Abstract:
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.
Keywords:
Antarctica, CloudSense, Clouds, INP, Ice Nucleating Particles, SOC, Southern Ocean, Southern Ocean Clouds, aerosol, filter sampling
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
| Access Constraints: | None |
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| Use Constraints: | Data are supplied under Open Government Licence v3.0 http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/. |
| Creation Date: | 2025-06-27 |
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| Dataset Progress: | Complete |
| Dataset Language: | English |
| ISO Topic Categories: |
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| Parameters: |
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| Personnel: | |
| Name | UK Polar Data Centre |
| Role(s) | Metadata Author |
| Organisation | British Antarctic Survey |
| Name | Floortje van den Heuvel |
| Role(s) | Investigator, Technical Contact |
| Organisation | British Antarctic Survey |
| Name | Dr Thomas Lachlan-Cope |
| Role(s) | Investigator |
| Organisation | British Antarctic Survey |
| Name | Nina Kinney |
| Role(s) | Investigator |
| Organisation | British Antarctic Survey |
| Name | Dan Smith |
| Role(s) | Investigator |
| Organisation | University of East Anglia |
| Parent Dataset: | N/A |
| Reference: | Smith et al. (submitted): The impact of mixed-phase cloud processes on simulating Southern Ocean Clouds and their radiative effect. JGR Atmospheres. | |
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| 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. |
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| Lineage/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) |
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| Temporal Coverage: | |
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| Start Date | 2023-02-04 |
| End Date | 2023-02-22 |
| Spatial Coverage: | |
| Latitude | |
| Southernmost | -67.56954 |
| Northernmost | -67.56954 |
| Longitude | |
| Westernmost | -68.11598 |
| Easternmost | -68.11598 |
| Altitude | |
| Min Altitude | N/A |
| Max Altitude | N/A |
| Depth | |
| Min Depth | N/A |
| Max Depth | N/A |
| Data Resolution: | |
| Latitude Resolution | N/A |
| Longitude Resolution | N/A |
| Horizontal Resolution Range | N/A |
| Vertical Resolution | N/A |
| Vertical Resolution Range | N/A |
| Temporal Resolution | 48 hours |
| Temporal Resolution Range | N/A |
| Location: | |
| Location | Antarctica |
| Detailed Location | East Beach, Rothera |
| Sensor(s): |
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| 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 |
| Distribution: | |
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| Distribution Media | Online Internet (HTTP) |
| Distribution Size | 20 kB |
| Distribution Format | ASCII |
| Fees | N/A |
| Data Storage: | 1 x CSV file The data are in a single .csv file organised so that each sample run is in a separate column. The column headers are the sample names, and the convention for these is: location-batch-filter_run_number; so that EBH-B07-16_run_1 stands for East Beach Hut (the sample location) - batch 7 - filter 16 _ run 1. This is because some filters have been run several times (run 2 etc) to improve the reliability of the results. The subsequent rows contain the information to calculate INP spectra and INP concentrations and are: filter_exposure_start_time [yyyy-mm-ddTHH:MM:SS], filter_exposure_end_time [yyyy-mm-ddTHH:MM:SS], volume_of_water_for_solution: this is the quantity of Milli-Q water used in Litres to was the particles off the filters and create the particle suspensions, volume_of_droplet_for_freezing: this is the 1 μL droplet volumes given here in Litres to facilitate INP concentration calculation, filter_total_exposure_time: this is the total amount of time the filter was exposed to ambient air in minutes and can change if pump overload of the automatic filter sampler caused the filter to be changed sooner than programmed, flow_rate_of_air_through_filter: average for the total exposure time and given in litres per minute, volume_of_sampled_air: in Litres and simply the flow_rate_of_air_through_filter multiplied with the filter_total_exposure_time. Subsequent rows are droplet_#_freezing_temperature (degree Celcius): where # is 1 for the first droplet to freeze and corresponding temperature. Nan values are given when the droplets were not considered reliable (wrong size or missing because of pipetting error). |