# Clumped isotope measurements and temperature estimates from Palouse Loess, Washington from 34000 to 9000 BP #----------------------------------------------------------------------- # World Data Service for Paleoclimatology, Boulder # and # NOAA Paleoclimatology Program #----------------------------------------------------------------------- # Template Version 4.0 # Encoding: UTF-8 # NOTE: Please cite original publication, NOAA Landing Page URL, dataset and publication DOIs (where available), and date accessed when using downloaded data. # If there is no publication information, please cite investigator, study title, NOAA Landing Page URL, and date accessed. # # Description/Documentation lines begin with '#' followed by a space # Data lines have no '#' # # NOAA_Landing_Page: https://www.ncei.noaa.gov/access/paleo-search/study/36580 # Landing_Page_Description: NOAA Landing Page of this file's parent study, which includes all study metadata. # # Study_Level_JSON_Metadata: https://www.ncei.noaa.gov/pub/data/metadata/published/paleo/json/noaa-Loess-36580.json # Study_Level_JSON_Description: JSON metadata of this data file's parent study, which includes all study metadata. # # Data_Type: Loess and Paleosol # # Dataset_DOI: 10.25921/r09x-m706 # # Science_Keywords: Air Temperature Reconstruction, Last Glacial Maximum #--------------------------------------- # Resource_Links # # Data_Download_Resource: https://www.ncei.noaa.gov/pub/data/paleo/loess/ricardo2022/palouse_isotope_ricardo2022.txt # Data_Download_Description: NOAA Template File; Isotope and Soil Temperature Data # #--------------------------------------- # Contribution_Date # Date: 2022-06-17 #--------------------------------------- # File_Last_Modified_Date # Date: 2023-03-10 #--------------------------------------- # Title # Study_Name: Clumped isotope measurements and temperature estimates from Palouse Loess, Washington from -34000 to -9000 #--------------------------------------- # Investigators # Investigators: Lopez-Maldonado, Ricardo; Bateman, Jesse Bloom; Ellis, Andre; Bader, Nicholas E.; Ramirez, Pedro; Arnold, Alexandrea; Ajoku, Osinachi; Lee, Hung-I; Jesmok, Gregory; Upadhyay, Deepshikha; Mitsunaga, Bryce; Elliott, Ben; Tabor, Clay; Tripati, Aradhna #--------------------------------------- # Description_Notes_and_Keywords # Description: #--------------------------------------- # Publication # Authors: Ricardo Lopez-Maldonado, Jesse Bloom Bateman, Andre Ellis, Nicholas E. Bader, Pedro Ramirez, Alexandrea Arnold, Osinachi Ajoku, Hung-I Lee, Gregory Jesmok, Deepshikha Upadhyay, Bryce Mitsunaga, Ben Elliott, Juan M. Lora, Clay Tabor, and Aradhna Tripati # Published_Date_or_Year: 2023-02-01 # Published_Title: Paleoclimate Changes in the Pacific Northwest Over the Past 36,000 Years from Clumped Isotope Measurements and Model Analysis # Journal_Name: Paleoceanography and Paleoclimatology # Volume: 38 # Edition: # Issue: 2 # Pages: # Report_Number: e2021PA004266 # DOI: 10.1029/2021PA004266 # Online_Resource: # Full_Citation: # Abstract: Since the last glacial period, North America has experienced dramatic changes in regional climate, including the collapse of ice sheets and changes in precipitation. We use clumped isotope (∆47) thermometry and carbonate d18O measurements of glacial and deglacial pedogenic carbonates from the Palouse Loess to provide constraints on hydroclimate changes in the Pacific Northwest. We also employ analysis of climate model simulations to provide further constraints on the hydroclimate changes in the Pacific Northwest. The coldest clumped isotope soil temperatures T(∆47) (13.5 ±1.9 °C to 17.1 ±1.7 °C) occurred ~34,000-23,000 years ago. Using a soil-to-air temperature transfer function, we estimate Last Glacial Maximum (LGM) mean annual air temperatures of ~-5.5 °C and warmest average monthly temperatures (i.e., mean summer air temperatures) of ~4.4 °C. These data indicate a regional warming of 16.4 ± 2.6 °C from the LGM relative to modern temperatures of 10.9 °C, which was about three times the global average. Proxy data provides locality constraints on the boundary of the cooler anticyclone induced by LGM ice sheets, and the warmer cyclone in the Eastern Pacific Ocean. Climate model analysis suggests regional amplification is due to the proximal location of the study area to the Laurentide Ice Sheet margin and the impact of the glacial anticyclone on the region, as well as local albedo. Isotope-enabled model experiments indicate variations in water d18O largely reflect atmospheric circulation changes and enhanced rainout upstream that brings more depleted vapor to the region during the LGM. #--------------------------------------- # Funding_Agency # Funding_Agency_Name: Heising-Simons Foundation # Grant: 2022-3314, 2021-3137 #--------------------------------------- # Funding_Agency # Funding_Agency_Name: LabexMER # Grant: ANR-10-LABX-19 #--------------------------------------- # Funding_Agency # Funding_Agency_Name: National Science Foundation (NSF) # Grant: AGS-1401778, AGS-1401803, AGS-1401802, HRD-0932421 #--------------------------------------- # Funding_Agency # Funding_Agency_Name: National Center for Atmospheric Research Advanced Study Program # Grant: AGS-1804747 #--------------------------------------- # Site_Information # Site_Name: Palouse Region # Location: Washington # Northernmost_Latitude: 47 # Southernmost_Latitude: 46 # Easternmost_Longitude: -118 # Westernmost_Longitude: -117 # Elevation_m: 420 #--------------------------------------- # Data_Collection # Collection_Name: palouse_isotope_ricardo2022 # First_Year: 34000 # Last_Year: 9000 # Time_Unit: calendar year before present # Core_Length_m: # Parameter_Keywords: loess # Notes: #--------------------------------------- # Chronology_Information # Chronology: #--------------------------------------- # Variables # PaST_Thesaurus_Download_Resource: https://www.ncei.noaa.gov/access/paleo-search/skos/past-thesaurus.rdf # PaST_Thesaurus_Download_Description: Paleoenvironmental Standard Terms (PaST) Thesaurus terms, definitions, and relationships in SKOS format. # # Data variables follow that are preceded by "##" in columns one and two. # Variables list, one per line, shortname-tab-var components: what, material, error, units, seasonality, data type, detail, method, C or N for Character or Numeric data) # ## Sample_Name sample identification,loess,,dimensionless,,Loess and Paleosol,,,C, ## d13C delta 13C,loess,,per mil PDB,,Loess and Paleosol,,isotope ratio mass spectrometry,N, ## d13C_err delta 13C,loess,one standard deviation,per mil PDB,,Loess and Paleosol,,,N, ## d18O delta 18O,loess,,per mil PDB,,Loess and Paleosol,,isotope ratio mass spectrometry,N, ## d18O_err delta 18O,loess,one standard deviation,per mil PDB,,Loess and Paleosol,,,N, ## D47 Delta 47,loess,,per mil I-CDES,,Loess and Paleosol,,isotope ratio mass spectrometry,N, ## D47_err Delta 47,loess,one standard error,per mil I-CDES,,Loess and Paleosol,,,N, ## soiltemp-summer soil temperature,Delta 47,,degree Celsius,summer,climate reconstructions; Loess and Paleosol,,regression analysis,N, ## soiltemp-summer_err soil temperature,Delta 47,one standard error,degree Celsius,summer,climate reconstructions; Loess and Paleosol,,,N, #------------------------ # Data: # Data lines follow (have no #) # Data line format - tab-delimited text, variable short name as header # Missing_Values: Sample_Name d13C d13C_err d18O d18O_err D47 D47_err soiltemp-summer soiltemp-summer_err AY1SHC -4.335 0.144568323 -12.36 0.059441848 0.546 0.008286535 42.82882929 3.260731945 AY1W3B -6.265 0.024289916 -13.46 0.095498691 0.630166667 0.006268528 13.50017533 1.913031806 AY1W3D -5.685 0.071414284 -12.12916667 0.162114344 0.6185 0.005546634 17.1491017 1.701438478 AY2SHC -4.309090909 0.230757645 -11.32181818 0.230513261 0.56 0.00591608 37.43229137 2.296181276 AY2W3B -5.365 0.148492424 -12.355 0.035355339 0.6155 0.0065 17.94506088 2.050066892 AY2W3C -4.406 0.164408029 -11.802 0.147715944 0.5682 0.005721888 34.18106926 2.104516506 KP1SHC -2.465 0.075299402 -12.385 0.10348913 0.5135 0.008686196 57.0017907 3.982993139 KP1W -4.33625 0.241657225 -13.0275 0.446949981 0.606375 0.004701586 20.92731473 1.520557507 WA3SHC -6.463333333 0.112398102 -13.7 0.347706773 0.62 0.008621678 16.59002383 2.713978156 WA3W -4.514285714 0.092169616 -12.75571429 0.070676998 0.574571429 0.004247448 31.82836825 1.552204151