# AGASSIZ Ice Core #----------------------------------------------------------------------- # 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: # # Online_Resource: https://www.ncdc.noaa.gov/paleo/study/24611 # # Original_Source_URL: # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Ice Cores # -------------------- # Contribution_date # Date: 2015 # -------------------- # Title # Study_Name: AGASSIZ Ice Core # # -------------------- # Investigators # Investigators: Fisher, D.A.; Koerner, R.M. # -------------------- # Description_and_Notes # Description: # # -------------------- # Publication # Authors: David A. Fisher, Roy M. Koerner # Published_Date_or_Year: 1994-06 # Published_Title: Signal and noise in four ice-core records from the Agassiz Ice Cap, Ellesmere Island, Canada: details of the last millennium for stable isotopes, melt and solid conductivity # Journal_Name: The Holocene # Volume: 4 # Edition: # Issue: 2 # Pages: 113-120 # DOI: 10.1177/095968369400400201 # Online_Resource: # Full_Citation: # Abstract: Four ice cores and two deep pit/auger sequences from the top of the Agassiz Ice Cap have been variously analysed for delta(O18), ECM (solid conductivity) and ice melt-layer stratigraphy. The high- resolution data are presented on time scales covering about the last 1000 years. The 8 time series are compared and the noise examined in terms of snow-drifting and wind-scouring of winter snow from the higher exposed parts of flow lines. The highly scoured 8 records reflect a mixture of summer-biased conditions and the amount of winter-scoured snow. Sites away from the ridges and domes are not scoured. The signal part of the scoured and unscoured sites is obtained by stacking (averaging normalized series). The stacked unscoured series of 8 and accumulation are compared to similar stacked series from central Greenland for the last century of annual averages. The comparison is surprisingly good suggesting that at these resolutions low-noise 8 series have some coherence over fairly large distances. The percentage melt series are presented and compared to those from the Devon Island Ice Cap. # -------------------- # 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: Agassiz Ice Cap # Location: North America>Canada # Country: Canada # Northernmost_Latitude: 80.25 # Southernmost_Latitude: 80.25 # Easternmost_Longitude: -72.983 # Westernmost_Longitude: -72.983 # Elevation: 2616 m # -------------------- # Data_Collection # Collection_Name: 94Agas01 # Earliest_Year: 1216 # Most_Recent_Year: 1972 # 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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