NOAA/WDS Paleoclimatology - Lake Gus, Greenland Holocene brGDGT and Alkenone Data
This archived Paleoclimatology Study is available from the NOAA National Centers for Environmental Information (NCEI), under the World Data Service (WDS) for Paleoclimatology. The associated NCEI study type is Lake. The data include parameters of paleolimnology with a geographic location of Greenland. The time period coverage is from 9214 to -67 in calendar years before present (BP). See metadata information for parameter and study location details. Please cite this study when using the data.
- Cite as: Cluett, A.A.; Thomas, E.K.; McKay, N.P.; Castañeda, I.S.; Morrill, C. (2023-06-13): NOAA/WDS Paleoclimatology - Lake Gus, Greenland Holocene brGDGT and Alkenone Data. [indicate subset used]. NOAA National Centers for Environmental Information. https://doi.org/10.25921/r0nh-vb71. Accessed [date].
- Please refer to Credit tab for full citation information.
- doi:10.25921/r0nh-vb71
- noaa-lake-38209
- NCEI DSI 1200_02
- NCEI DSI 1200_01
noaa-lake-38209
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Distributor | NOAA National Centers for Environmental Information
ncei.info@noaa.gov |
Dataset Point of Contact | NOAA National Centers for Environmental Information
ncei.info@noaa.gov |
Dataset Point of Contact | Data Center Contact
NOAA World Data Service for Paleoclimatology 828-271-4800 paleo@noaa.gov |
Coverage Description | Date Range: 9214 cal yr BP to -67 cal yr BP; |
Time Period | -7264 to 2017 |
Spatial Bounding Box Coordinates |
N: 67.032
S: 67.032
E: -52.43
W: -52.43
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Data Presentation Form | Digital table - digital representation of facts or figures systematically displayed, especially in columns
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Dataset Progress Status | Complete - production of the data has been completed |
Data Update Frequency | Data update frequency not available |
Supplemental Information |
STUDY NOTES: Scripts for analysis can be found at https://github.com/ACluett/Lake-Gus-Biomarkers
ABSTRACT SUPPLIED BY ORIGINATOR: Quantitative temperature reconstructions from lacustrine organic geochemical proxies including branched glycerol dialkyl glycerol tetraethers (brGDGTs) and alkenones provide key constraints on past continental climates. However, estimation of air temperatures from proxies can be impacted by non-stationarity in the relationships between seasonal air and water temperatures, a factor not yet examined in strongly seasonal high-latitude settings. We pair downcore analyses of brGDGTs and alkenones measured on the same samples through the Holocene with forward-modeled proxy values based on thermodynamic lake model simulations for a western Greenland lake. The measured brGDGT distributions suggest that stable autochthonous (aquatic) production overpowers allochthonous inputs for most samples, justifying the use of the lake model to interpret temperature-driven changes. Conventional calibration of alkenones (detected only after 5.5 thousand years BP) suggests substantially larger temperature variations than conventional calibration of brGDGTs. Comparison of proxy measurements to forward-modeled values suggests variations in brGDGT distributions monotonically reflect multi-decadal summer air temperatures changes, although the length of the ice-free season dampens the influence of air temperatures on water temperatures. Drivers of alkenone variability remain less clear; potential influences include small changes in the seasonality of proxy production or biases toward specific years, both underlain by non-linearity in water-air temperature sensitivity during relevant seasonal windows. We demonstrate that implied temperature variability can differ substantially between proxies because of differences in air-water temperature sensitivity during windows of proxy synthesis without necessitating threshold behavior in the lake or local climate, and recommend that future studies incorporate lake modeling to constrain this uncertainty. |
Purpose | Records of past climate and environment derived from lake sediment records. Parameter keywords describe what was measured in this dataset. Additional summary information can be found in the abstracts of papers listed in the dataset citations. |
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Theme keywords | Global Change Master Directory (GCMD) Science Keywords
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Data Center keywords | Global Change Master Directory (GCMD) Data Center Keywords
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Last Modified: 2023-09-01
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