# Quelccya Ice Core Data #----------------------------------------------------------------------- # World Data Center for Paleoclimatology, Boulder # and # NOAA Paleoclimatology Program #----------------------------------------------------------------------- # NOTE: Please cite original reference when using these data, # If there is no publication information, please cite Investigators, Title, and Online_Resource and date accessed # # # # Online_Resource: https://www.ncdc.noaa.gov/cdo/f?p=519:1:::::P1_STUDY_ID:2435 # # Online_Resource: https://www.ncdc.noaa.gov/paleo/study/24611 # # Original_Source_URL: ftp://ftp.ncdc.noaa.gov/pub/data/paleo/icecore/trop/quelccaya/readme_quelccaya.txt # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Ice Cores # -------------------- # Contribution_date # Date: 2014 # -------------------- # Title # Study_Name: Quelccya Ice Core Data # -------------------- # Investigators # Investigators: Thompson, L.G.; Mosley-Thompson, E.; Grootes, P.; Pourchet, M. # -------------------- # Description_and_Notes # Description: This data set contains data derived from the Quelccaya Summit Ice Core by Drs. Lonnie Thompson and Ellen Mosley-Thompson of The # Ohio State University. The data was updated in May 1992 to extend the data period of record. A printed documentation volume is now # available from NGDC. The data contained in the files 'Q83SUM.ALL' and 'Q83COR1.ALL' represent the annual information for the summit # core and core 1, drilled in 1983. The data for the year 1984 are from a pit excavated in the year following the drilling and thus the 1984 data # are the same for both the summit core and core 1. # -------------------- # Publication # Authors: L.G. Thompson, E. Mosley-Thompson, P. Grooties, and M. Pourchet # Published_Date_or_Year: 1984 # Published_Title: Tropical glaciers: potential for paleoclimatic reconstruction # Journal_Name: Journal of Geophysical Research # Volume: 89 # Edition: # Issue: D3 # Pages: 4638-4646 # DOI: 10.1029/JD089iD03p04638 # Online_Resource: # Full_Citation: # Abstract: The objective of this work is to evaluate the potential of tropical glaciers and ice caps for the reconstruction of past climatic conditions by the analysis of firm and ice cores. Samples were collected in pits and from cores retrieved on three snow fields in the South American Andes: Quelccaya Ice Cap and Huascarán in Peru and Chimborazo in Ecuador. These are compared with results from west Africa and Indonesia. Measurements include the microparticle concentration, oxygen isotopic abundance ratios, and total beta radioactivity, which in polar regions often exhibit seasonal depositional cycles. Annual variations in these three parameters are fairly well defined on Quelccaya and Huascarán and are apparently absent on Chimborazo, The Quelccaya Ice Cap contains the best preserved annual signal for all three parameters and, although in some instances the annual cycle is difficult to distinguish, the measurement of more than one stratigraphic parameter aids in the interpretation of the firm core records. The relatively flat bottom topography under Quelccaya suggests a simple ice flow regime, and depth-age calculations indicate that an ice core to bedrock should contain a record of 600 to 1300 years. This inference was confirmed by drilling to bedrock in 1983. This investigation of tropical glaciers indicates that the Quelccaya Ice Cap on the eastern edge of the Peruvian Andes has excellent potential to contain a lengthy and interpletable record of climatic conditions within the tropics of South America. # -------------------- # Authors: Anderson, D.M., Tardif, R., Horlick, K., Erb, M.P., Hakim, G.J., Noone, D., Perkins, W.A., and E. Steig # Published_Date_or_Year: 2018 # Published_Title: Additions to the last millennium reanalysis multi-proxy database # Journal_Name: Data Science Journal # Volume: # Edition: # Issue: # Pages: # Report_Number: # DOI: # Online_Resource: # Full_Citation: Anderson, D.M., Tardif, R., Horlick, K., Erb, M.P., Hakim, G., J., Noone, D., Perkins, W.A., and E. Steig, submitted. Additions to the last millennium reanalysis multi-proxy database. Data Science Journal. # Abstract: Progress in paleoclimatology increasingly occurs via data syntheses. We describe additions to a collection prepared for use in paleoclimate state estimation, specifically the Last Millennium Reanalysis (LMR). The 2290 additional series include 2152 tree ring chronologies and 138 other series. They supplement the collection used previously and together form a database titled LMRdb 1.0.0. The additional data draws from lake core, ice core, coral, speleothem, and tree ring archives, using published data primarily from the NOAA Paleoclimatology archive and a set of tree ring width chronologies standardized from raw International Tree Ring Data Bank ring width series. In contrast to many previous paleo compilations, the data were not selected (screened) on the basis of their environmental correlation, multi-century length, or other attributes. The inclusion of proxies sensitive to moisture and other environmental variables expands their use in data assimilation. A preliminary calibration using linear regression with mean annual temperature reveals characteristics of the proxy series and their relationship to temperature, as well as the noise and error characteristics of the records. The additional records are structured as individual files in the NOAA Paleoclimatology format and archived at NOAA Paleoclimatology (Anderson et al. 2018) and will continue to be improved and expanded as part of the LMR Project. The additions represent a four-fold increase in the number of records available for assimilation, provide expanded geographic coverage, and add additional proxy variables. Applications include data assimilation, proxy system model development, and paleoclimate reconstruction using climate field reconstruction and other methods. #------------------ # Funding_Agency # Funding_Agency_Name: # Grant: # -------------------- # Funding_Agency_Name: National Science Foundation # Grant:AGS-1304263 # Funding_Agency_Name: National Oceanic and Atmospheric Administration # Grant:NA14OAR4310176 #------------------ # Site_Information # Site_Name: Quelccaya Ice Cap # Location: South America> Peru # Country: Peru # Northernmost_Latitude: -13.93 # Southernmost_Latitude: -13.93 # Easternmost_Longitude: -70.83 # Westernmost_Longitude: -70.83 # Elevation: 5670 m # -------------------- # Data_Collection # Collection_Name: 84Quel01a # Earliest_Year: 470 # Most_Recent_Year: 1984 # Time_Unit: y_ad # Notes: {"database":"LMR"} # # -------------------- # Variables # # Data variables follow that are preceded by "##" in columns one and two. # Data line variables format: Variables 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