# ITASE 00-05 #----------------------------------------------------------------------- # 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: ITASE 00-05 # -------------------- # Investigators # Investigators: Schneider, D.P.; Noone, D. C. # -------------------- # Description_and_Notes # Description: # # -------------------- # Publication # Authors: David P. Schneider, David C. Noone # Published_Date_or_Year: 2007-09-20 # Published_Title: Spatial covariance of water isotope records in a global network of ice cores spanning twentieth-century climate change # Journal_Name: Journal of Geophysical Research # Volume: 112 # Edition: # Issue: D18105 # Pages: # DOI: doi:10.1029/2007JD008652 # Online_Resource: # Full_Citation: # Abstract: Estimating the spatial extent of past climate changes has been an ongoing challenge for paleoclimatology. For such estimates to be made with confidence, it is important to establish an understanding of the spatial coherence of proxy records during an interval of known climate change. We use water stable isotopes from high-resolution ice cores and twentieth-century observations of sea level pressures and sea surface temperatures to assess the covariance among isotopic records and its link to organized patterns of climate variability. Covarying signals in the cores are identified using empirical orthogonal function analysis. Results from regression analysis show that the leading signals are consistent with key climate patterns including the Northern Atlantic Oscillation and Southern Annular Mode and variability in tropical Pacific sea surface temperatures associated with the El Nin˜o–Southern Oscillation. Patterns that have recently been identified in instrumental data, such as positive tropical Pacific SST anomalies associated with the negative phase of the SAM, are evident in the ice cores. These explanations for the variance of stable isotopes are consistent with recent studies using isotope-enabled general circulation models and provide a physical basis for interpreting the observed isotopic signals. While there is also a global change signal that is evident when analyzing the records collectively, there are some limitations in reconstructing global temperatures due to the geographic coverage of the available records and the current lack of modeling studies to explain the observed global-scale changes. Still, water stable isotope ratios preserved in ice cores provide a sufficiently rich sampling of large-scale climate variability that they can be more widely used in physically based paleoclimate reconstructions covering the last millennium and other periods. # -------------------- # 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: ITASE 00-05 # Location: Antarctica # Country: # Northernmost_Latitude: -77.68 # Southernmost_Latitude: -77.68 # Easternmost_Longitude: -124.00 # Westernmost_Longitude: -124.00 # Elevation: 1336 m # -------------------- # Data_Collection # Collection_Name: 00ITAS05 # Earliest_Year: 1719 # Most_Recent_Year: 2000 # 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 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) # ##age age,,,years AD,,,,,N ##delD delta deuterium,,,permil SMOW,,Ice Cores,,,N # # -------------------- # Data: # Data lines follow (have no #) # Data line format - 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