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PANGAEA.
Data Publisher for Earth & Environmental Science
Abstract:
During a 4-week measurement campaign (ISLAS2022) in March and April 2022, we collected a comprehensive dataset characterizing the atmospheric water vapour and precipitation isotope composition within weather systems in the European Arctic and sub-Arctic. Focusing on an area covering the Nordic Seas and Northern Scandinavia, stable water isotope measurements with cavity ring-down spectrometers (CRDS) were taken from a research aircraft stationed at Kiruna, Sweden; from a Research Vessel going from Tromsø to the western ice edge in Greenland, and from measurements at supersites at Andenes on the Lofoten archipelago, Abisko, and Kiruna. Water vapour and precipitation isotope measurements from different sites and platforms were complemented by additional instrumentation to characterize the atmospheric conditions. Advanced instrumentation included wind LIDAR, ground-based vertical-pointing rain radar, and aerosol measurements at Andenes, two-directional depolarising aerosol LIDAR and horizontal cloud RADAR on the aircraft. Controlled meteorological balloons were launched from Ny-Ålesund, Svalbard into cold-air outbreak conditions. Surface precipitation samples were collected from a surface network including Abisko, Andenes, Kiruna, Longyearbyen, Ny-Ålesund, Jan Mayen, Bjørnøya, Tarfala, Ålesund, and Bergen. Surface snow was repeatedly sampled along a detailed transect from Kiruna to Lofoten archipelago. Citizen science snow sampling contributed to distributed surface snow sampling in Northern Scandinavia. All stable water isotope measurements have been calibrated onto the VSMOW-SLAP scale. The data from the ISLAS2022 measurement campaign enables the comprehensive assessment of air mass transformation and water turnover during cold-air outbreak conditions using stable water isotopes as a constraint.
This dataset contains the stable water isotopic composition of precipitation, surface snow, and sea water collected in coastal Norway and Sweden during the ISLAS2022 measurement campaign. Precipitation samples were collected at Kiruna, Andenes, Abisko, Tarfala, Jan Mayen, Bjørnøya, Longyearbyen, Ålesund and Bergen at time resolutions from sub-hourly to several days. Samples were collected to enable paired water vapour and precipitation isotope studies, and to assess the spatial representativeness and gradients of precipitation isotopes. Analysis of collected samples was performed at FARLAB, University of Bergen, in Bergen, Norway, via cavity ring-down spectrometers.
Keyword(s):
ISLAS; Norway; precipitation; sea water; stable water isotopes; Surface snow
Funding:
European Research Council (ERC), grant/award no. 758005: Mixed-phase clouds and climate (MC2) – from process-level understanding to large-scale impacts
European Research Council (ERC), grant/award no. 773245: ISLAS: Isotopic links to atmospheric water's sources
Coverage:
Median Latitude: 68.745369 * Median Longitude: 16.311765 * South-bound Latitude: 60.245300 * West-bound Longitude: -8.490000 * North-bound Latitude: 78.923000 * East-bound Longitude: 28.205000
Date/Time Start: 2022-03-14T14:03:00 * Date/Time End: 2024-04-09T00:00:00
Minimum Elevation: 0.0 m * Maximum Elevation: 1743.7 m
Event(s):
IS22_Abisko * Latitude: 68.353700 * Longitude: 18.816600 * Date/Time Start: 2022-03-22T20:00:00 * Date/Time End: 2022-04-07T09:00:00 * Elevation: 390.0 m * Campaign: ISLAS2022 * Basis: Multiple platforms * Method/Device: Water sample (WS)
IS22_Akaslompolo * Latitude: 67.605400 * Longitude: 24.172500 * Date/Time: 2022-04-14T00:00:00 * Elevation: 218.0 m * Campaign: ISLAS2022 * Basis: Multiple platforms * Method/Device: Water sample (WS)
IS22_Bakken_Lyngspollen * Latitude: 69.480800 * Longitude: 20.202300 * Date/Time: 2022-04-17T00:00:00 * Elevation: 44.6 m * Campaign: ISLAS2022 * Basis: Multiple platforms * Method/Device: Water sample (WS)
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
1ORDINAL NUMBEROrd NoSodemann, HaraldGeocode
2Sample code/labelSample labelSodemann, Harald
3IdentificationIDSodemann, HaraldFARLAB ID
4IdentificationIDSodemann, HaraldCheck FARLAB ID
5DATE/TIMEDate/TimeSodemann, HaraldGeocode – start
6DATE/TIMEDate/TimeSodemann, HaraldGeocode – end
7LocationLocationSodemann, Harald
8LATITUDELatitudeSodemann, HaraldGeocode
9LONGITUDELongitudeSodemann, HaraldGeocode
10ELEVATIONElevationm a.s.l.Sodemann, HaraldGeocode
11Sample typeSamp typeSodemann, Harald
12δ Deuterium, precipitationδD precip‰ SMOWSodemann, HaraldCavity Ring-Down Spectrometer (CRDS)
13δ Deuterium, precipitation, standard deviationδD precip std dev±Sodemann, HaraldCavity Ring-Down Spectrometer (CRDS)
14δ18O, precipitationδ18O precip‰ SMOWSodemann, HaraldCavity Ring-Down Spectrometer (CRDS)
15δ18O, precipitation, standard deviationδ18O precip std dev±Sodemann, HaraldCavity Ring-Down Spectrometer (CRDS)
16Deuterium excess, precipitationd xs precip‰Sodemann, HaraldCalculated
17Deuterium excess, precipitation, standard deviationd xs precip std dev±Sodemann, HaraldCalculated
18δ Deuterium, waterδD H2O‰ SMOWSodemann, HaraldCavity Ring-Down Spectrometer (CRDS)
19δ Deuterium, water, standard deviationδD H2O std dev±Sodemann, HaraldCavity Ring-Down Spectrometer (CRDS)
20δ18O, waterδ18O H2O‰ SMOWSodemann, HaraldCavity Ring-Down Spectrometer (CRDS)
21δ18O, water, standard deviationδ18O H2O std dev±Sodemann, HaraldCavity Ring-Down Spectrometer (CRDS)
22Deuterium excessd xs‰Sodemann, HaraldCalculated
23Deuterium excess, standard deviationd xs std dev±Sodemann, HaraldCalculated
24δ Deuterium, snowδD snow‰ SMOWSodemann, HaraldCavity Ring-Down Spectrometer (CRDS)
25δ Deuterium, snow, standard deviationδD snow std dev±Sodemann, HaraldCavity Ring-Down Spectrometer (CRDS)
26δ18O, snowδ18O snow‰ SMOWSodemann, HaraldCavity Ring-Down Spectrometer (CRDS)
27δ18O, snow, standard deviationδ18O snow std dev±Sodemann, HaraldCavity Ring-Down Spectrometer (CRDS)
28Deuterium excess, snowd xs snow‰Sodemann, HaraldCalculated
29Deuterium excess, snow, standard deviationd xs snow std dev±Sodemann, HaraldCalculated
30DEPTH, ice/snowDepth ice/snowmSodemann, HaraldGeocode
31CampaignCampaignSodemann, Harald
32ProjectProjectSodemann, Harald
33VersionVersionSodemann, Harald
34Quality flagQFSodemann, Harald
35CommentCommentSodemann, Harald
36PrecipitationPrecipmmSodemann, Harald
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0) (License comes into effect after moratorium ends)
Status:
Curation Level: Enhanced curation (CurationLevelC)
Size:
9136 data points

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