# Paru Co, Tibetan Plateau, China Holocene Multiproxy Sediment Data #----------------------------------------------------------------------- # World Data Center for Paleoclimatology, Boulder # and # NOAA Paleoclimatology Program #----------------------------------------------------------------------- # NOTE: Please cite Publication, and Online_Resource and date accessed when using these data. # If there is no publication information, please cite Investigators, Title, and Online_Resource and date accessed. # # # Online_Resource: http://ncdc.noaa.gov/paleo/study/16399 # # Original_Source_URL: ftp://ftp.ncdc.noaa.gov/pub/data/paleo/paleolimnology/asia/tibet/paruco2014dd.txt # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Paleolimnology #-------------------- # Contribution_Date # Date: 2014-07-24 #-------------------- # Title # Study_Name: Paru Co, Tibetan Plateau, China Holocene Multiproxy Sediment Data #-------------------- # Investigators # Investigators: Bird, B.W.; Polissar, P.J.; Lei, Y.; Thompson, L.G.; Yao, T.; Finney, B.P.; Bain, D.J.; Pompeani, D.P.; Steinman, B.A. #-------------------- # Description_and_Notes # Description: Holocene sedimentological and leaf wax n-alkane hydrogen isotope data from Paru Co, southeastern Tibetan Plateau. #-------------------- # Publication # Authors: Broxton W. Bird, Pratigya J. Polissar, Yanbin Lei, Lonnie G. Thompson, Tandong Yao, Bruce P. Finney, Daniel J. Bain, David P. Pompeani, Byron A. Steinman # Published_Date_or_Year: 2014-08-01 # Published_Title: A Tibetan lake sediment record of Holocene Indian summer monsoon variability # Journal_Name: Earth and Planetary Science Letters # Volume: 399 # Edition: # Issue: # Pages: 92-102 # DOI: 10.1016/j.epsl.2014.05.017 # Online_Resource: http://www.sciencedirect.com/science/article/pii/S0012821X14003112 # Full_Citation: # Abstract: Sedimentological data and hydrogen isotopic measurements of leaf wax long-chain n-alkanes (dDwax) from an alpine lake sediment archive on the southeastern Tibetan Plateau (Paru Co) provide a Holocene perspective of Indian summer monsoon (ISM) activity. The sedimentological data reflect variations in lake level and erosion related to local ISM rainfall over the Paru Co catchment, whereas dDwax reflects integrated, synoptic-scale ISM dynamics. Our results indicate that maximum ISM rainfall occurred between 10.1 and ~5.2 ka, during which time there were five century-scale high and low lake stands. After 5.2 ka, the ISM trended toward drier conditions to the present, with the exception of a pluvial event centered at 0.9 ka. The Paru Co results share similarities with paleoclimate records from across the Tibetan Plateau, suggesting millennial-scale ISM dynamics were expressed coherently. These millennial variations largely track gradual decreases in orbital insolation, the southward migration of the Intertropical Convergence Zone (ITCZ), decreasing zonal Pacific sea surface temperature (SST) gradients and cooling surface air temperatures on the Tibetan Plateau. Centennial ISM and lake-level variability at Paru Co closely track reconstructed surface air temperatures on the Tibetan Plateau, but may also reflect Indian Ocean Dipole events, particularly during the early Holocene when ENSO variability was attenuated. Variations in the latitude of the ITCZ during the early and late Holocene also appear to have exerted an influence on centennial ISM rainfall. #------------------ # Funding_Agency # Funding_Agency_Name: US National Science Foundation # Grant: EAR #------------------ # Funding_Agency # Funding_Agency_Name: Chinese National Science Foundation # Grant: #------------------ # Site_Information # Site_Name: Paru Co # Location: Asia>Eastern Asia>China # Country: China # Northernmost_Latitude: 29.796 # Southernmost_Latitude: 29.796 # Easternmost_Longitude: 92.352 # Westernmost_Longitude: 92.352 # Elevation: 4845 m #------------------ # Data_Collection # Collection_Name: ParuCo2013dd # Earliest_Year: 10934 # Most_Recent_Year: 11 # Time_Unit: Cal. Year BP # Core_Length: m # Notes: #------------------ # Chronology: # # # # # # # # #---------------- # Variables # # Data variables follow that are preceded by "##" in columns one and two. # Data line variables format: Variables list, one per line, shortname-tab-longname-tab-longname components (9 components: what, material, error, units, seasonality, archive, detail, method, C or N for Character or Numeric data) # ##depth_cm depth, , , cm, , , , ,N ##age_calBP age, , , calendar years before present, , , , ,N ##d2HleafwaxC27 delta2H, leaf wax C-27 acids, , per mil VSMOW, , , , ,N ##d2HleafwaxC27-1s delta2H 1s error, leaf wax C-27 acids, , per mil VSMOW, , , , ,N ##d2HleafwaxC27-1san delta2H 1s analytical error, leaf wax C-27 acids, , per mil VSMOW, , , , ,N ##numanalC27 number of analyses C27, , , , , , , ,N ##d2HleafwaxC29 delta2H, leaf wax C-29 acids, , per mil VSMOW, , , , ,N ##d2HleafwaxC29-1s delta2H 1s error, leaf wax C-29 acids, , per mil VSMOW, , , , ,N ##d2HleafwaxC29-1san delta2H 1s analytical error, leaf wax C-29 acids, , per mil VSMOW, , , , ,N ##numanalC29 number of analyses C29, , , , , , , ,N # #---------------- # Data: # Data lines follow (have no #) # Data line format - tab-delimited text, variable short name as header # Missing Values: # Leaf wax hydrogen isotope data from Paru Co depth_cm age_calBP d2HleafwaxC27 d2HleafwaxC27-1s d2HleafwaxC27-1san numanalC27 d2HleafwaxC29 d2HleafwaxC29-1s d2HleafwaxC29-1san numanalC29 3.25 11 -203.8 4.4 3.1 1 -213.7 4.4 1 39.50 928 -232.5 3.6 1.8 3 -230.0 3.6 1.8 3 50.25 1220 -224.5 3.8 2.2 2 -223.9 3.8 2.2 2 90.48 2379 -222.9 3.6 1.8 3 -222.0 3.8 2.2 2 123.07 3377 -229.5 3.6 1.8 3 -228.5 3.6 1.8 3 153.45 4340 -231.9 3.4 1.6 4 -228.3 3.5 1.6 4 193.09 5621 -235.5 3.4 1.4 5 -227.9 3.4 1.4 5 218.75 6451 -240.3 3.5 1.8 3 -238.1 3.5 1.8 3 262.25 7834 -243.8 3.7 2.2 2 -239.3 3.7 2.2 2 298.56 8940 -243.4 3.5 1.8 3 -242.4 3.5 1.8 3 336.08 10010 -243.9 3.5 1.8 3 -237.5 3.5 1.8 3 373.09 10749 -220.4 4.4 3.1 1 -220.7 4.4 3.1 1 402.85 10841 -218.0 4.4 3.1 1 -224.4 4.4 3.1 1 418.19 10888 -200.1 4.5 3.1 1 -210.9 4.4 3.1 1 432.98 10934 -206.4 4.4 3.1 1 -215.0 4.4 3.1 1