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Data Publisher for Earth & Environmental Science

Czymzik, Markus; Haltia, Eeva; Saarinen, Timo; Saarni, Saija; Brauer, Achim (2018): Snowmelt layer thickness in varved Lake Kortejärvi sediments [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.889369, Supplement to: Czymzik, M et al. (2018): Differential North Atlantic control of winter hydroclimate in late Holocene varved sediments of Lake Kortejärvi, eastern Finland. Boreas, https://doi.org/10.1111/bor.12315

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Abstract:
Sediment microfacies, geochemical µ-XRF and X-ray density analyses were conducted on varved sediments from Lake Kortejärvi (eastern Finland) covering the last 2700 years. Varves comprise couplets of detrital and organic sub-layers throughout the complete time-span. Based on their microfacies and stratigraphic position within a varve as well as comparisons with local discharge and meteorological data, thicker detrital layers are interpreted to reflect intensified snowmelt floods following more humid winters. Detailed comparisons with monthly to annually resolved North Atlantic Oscillation (NAO) indices back to AD 1049 (901 a BP) suggest that multi-decadal increases in snowmelt layer thickness tend to be connected with a more positive phase of the NAO and, consequently, warmer winters. In contrast, distinct centennial intervals of thicker snowmelt layers from -40 to 170, 280 to 460 and 1900 to 2300 a BP as well as around 2600 a BP do not consistently correspond to a particular NAO phase, but coincide with extended sea ice margins and a colder North Atlantic climate, causing intensified and southward shifted westerly cyclones. Our results point to a differential modification of North Atlantic winter hydroclimate working on varying time-scales.
Coverage:
Latitude: 63.617000 * Longitude: 28.933000
Event(s):
Kortejärvi_KJ-B * Latitude: 63.617000 * Longitude: 28.933000 * Location: Finland * Method/Device: Piston corer (PC)
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
1AGEAgeka BPCzymzik, MarkusGeocode
2Detrital layer thicknessDetr lay thickmmCzymzik, Markus
Size:
2696 data points

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