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L <- lipdR::readLipd("https://lipdverse.org/data/Pkf1yhKhQDgE1JPk4Enj/1_1_8/Gjoavatnet.vanderBilt.2019.lpd")
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HoloceneAbruptChange-0_11_0
archiveType: LakeSediment
lipdVersion: 1.3
author: list(list(name = "van der Bilt, Willem G.M."))
journal: Geophysical Research Letters
pages: 14732-14741
title: Early Holocene Temperature Oscillations Exceed Amplitude of Observed and Projected Warming in Svalbard Lakes
agency: Centre for Climate Dynamics
grant: ECONORS Fast Track Initiative
country: Norway
grant: MOMENTUM
country: Norway
agency: G. Unger Vetlesen foundation
latitude: 79.46
longitude: 10.51
siteName: Gjoeavatnet (GJP)
TSid: WEBeef707e1
variableName: depth
units: m
TSid: WEB95afeb03
variableName: age
units: yr BP
TSid: WEB02525b7b
variableName: Uk37
units: unitless
description: UK37
direction: positive
scope: climate
seasonality: Jun-Aug
variable: temperature
variableDetail: lake@surface
variableGroup: Temperature
variableGroupDirection: negative
variableGroupOriginal: T
TSid: WEBdb8c6da5
variableName: temperature
units: degC
description: Lake water temperature anomalies calculated from UK37 values based on Group I specific calibraiton from D'Andrea et al (2016). UK37 = 0.0287 * T -a0
basis: "Following from the above, we therefore argue that our reconstructions represent JJA water temperature variations. Monitoring data suggests that these are strongly linked to surface air temperature change in our study area (Holm et al., 2012). This notion is supported by the observation-validated alkenone record from lake Kongressvatnet on West Spitsbergen (D’Andrea et al., 2012); here, U_37^K values (n=15) capture 59% of recorded JJA air temperatures. We should, however, note that the intermittent influx of glacial meltwater might have affected coupling between water and air temperature through time in some of the lakes we target(see paragraph 4.1); both Hajeren and Gjoeavatnet are currently glacier-fed lakes, and have been so during the Greenlandian (11.7-8.2 ka BP) (De Wet et al., 2017; van der Bilt et al., 2015). "
direction: positive
scope: climate
seasonality: Jun-Aug
seasonalityGeneral: Jun-Aug
variable: temperature
variableDetail: lake@surface
variableGroup: Temperature
variableGroupDirection: negative
variableGroupOriginal: T
TSid: WEB194401f3
variableName: sampleID
units: unitless
TSid: WEBf3fd9b4d
variableName: depth
units: cm
description: Composite depth
TSid: WEBa472fcc3
variableName: Core
units: unitless
TSid: WEBcc02ff64
variableName: material
units: Unitless
TSid: WEB0004cf49
variableName: Sample mass
units: mg
description:
TSid: WEBb1f12641
variableName: mg C
units: unitless
description: mg C in sample
TSid: WEB49ad2837
variableName: age14C
units: yr 14C BP
TSid: WEB4b5475fe
variableName: age14C_uncertainty1s
units: yr 14C BP
TSid: WEB86585152
variableName: Min cal age
units: cal yr BP
description: Minimum calibrated age (±2 sigma)
TSid: WEB09c08f5a
variableName: Max cal age
units: cal yr BP
description: maximum calibrated age (±2 sigma)
TSid: WEB5e34d660
variableName: d13C
units: per mil
description: sample d13C value
root
pub
pub1
funding
funding1
funding2
funding3
geo
PaleoData columns
depth (m)
age (yr BP)
Uk37 (unitless)
interpretation
1
temperature (degC)
interpretation
1
sampleID (unitless)
ChronData columns
depth (cm)
Core (unitless)
material (Unitless)
Sample mass (mg)
mg C (unitless)
age14C (yr 14C BP)
age14C_uncertainty1s (yr 14C BP)
Min cal age (cal yr BP)
Max cal age (cal yr BP)
d13C (per mil)