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  • Binary Object; Binary Object (File Size); Binary Object (Media Type); d18O; Data Assimilation; File content; Last Glacial Maximum; Mg/Ca; SST; TEX86; UK37  (1)
  • calibration; lakes  (1)
  • 2020-2024  (2)
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  • 2020-2024  (2)
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  • 1
    Publication Date: 2024-04-20
    Description: A collection of geochemical SST proxy from the Last Glacial Maximum (23-19 ka) and the Late Holocene (4-0 ka) and results from data assimilation with iCESM 1.2. Includes raw proxy data from the LGM (Tierney2020_LGMProxyData.csv) and LH (Tierney2020_LHProxyData.csv) time slices, with calibrated absolute SSTs; "paired" (data in the same location) proxies with calibrated SST anomalies (Tierney2020_ProxyDataPaired.csv); a 5˚ x 5˚ gridded product of the paired proxies in netCDF format (Tierney2020_ProxyData_5x5_deltaSST.nc); and the results from the DA in netCDF format. The DA results are split into atmospheric variables (SAT, d18O of precipitation; Tierney2020_DA_atm.nc) and oceanic variables (SST, SSS, and d18O of seawater; Tierney2020_DA_ocn.nc). The ocean data are provided on their native tripolar grid (Tierney2020_DA_ocn.nc) as well as a 1 x 1 regridded version (Tierney2020_DA_ocn_regrid.nc).
    Keywords: Binary Object; Binary Object (File Size); Binary Object (Media Type); d18O; Data Assimilation; File content; Last Glacial Maximum; Mg/Ca; SST; TEX86; UK37
    Type: Dataset
    Format: text/tab-separated-values, 14 data points
    Location Call Number Limitation Availability
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  • 2
    Publication Date: 2024-04-20
    Description: Despite widespread use of branched glycerol dialkyl glycerol tetraethers (brGDGTs) for paleo-temperature reconstruction, no global calibration for their application in lakes has been generated since improved analytical methods have allowed for the separation of the structural isomers [Hopmans et al., 2016]. This is a substantial obstacle for the application of this tool as soil calibrations underestimate temperature values when applied to lake sediments. In order to generate a global calibration, we present a comprehensive dataset (N = 272) of lacustrine brGDGT distributions, consisting of both new and previously reported samples [Boldt et al., 2015; Dang et al., 2018; 2016; Li et al., 2017; Stefanescu et al., 2021], spanning a wide range of geographical locations. In addition, we compiled environmental information from these locations through in situ measurements [Li et al., 2017] and literature search for pH, conductivity, and nutrient content. For parameters such as mean annual air temperature (MAAT), temperature of months above freezing (MAF), mean annual precipitation (MAP), we estimated values from either the CRU [Osborn and Jones, 2014] or PRISM [https://prism.oregonstate.edu/] products depending on the location. Our new calibration [Martínez-Sosa et al., 2021] facilitates the use of lacustrine brGDGTs to reconstruct continental temperatures, a vital piece of information for understanding past climates.
    Keywords: calibration; lakes
    Type: Dataset
    Format: application/zip, 36.8 kBytes
    Location Call Number Limitation Availability
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