# WAIS Divide Ice Core 1,200 Year Atmospheric CO2 and d13CO2 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/18316 # # Original_Source_URL: ftp://ftp.ncdc.noaa.gov/pub/data/paleo/icecore/antarctica/wais2015d13co2.txt # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Ice Cores # # Contribution_Date # Date: 2015-04-27 #-------------------- # Title # Study_Name: WAIS Divide Ice Core 1,200 Year Atmospheric CO2 and d13CO2 Data #-------------------- # Investigators # Investigators: Bauska, T.K.; Joos, F.; Mix, A.C.; Roth, R.; Ahn, J.; Brook, E.J. #-------------------- # Description_Notes_and_Keywords # Description: CO2 concentration and Stable Isotopic Composition of CO2 from WAIS Divide ice cores for the past 1,200 years. #-------------------- # Publication # Authors: Thomas K. Bauska, Fortunat Joos, Alan C. Mix, Raphael Roth, Jinho Ahn, and Edward J. Brook # Published_Date_or_Year: 2015-04-27 # Published_Title: Links between atmospheric carbon dioxide, the land carbon reservoir and climate over the past millennium # Journal_Name: Nature Geoscience # Volume: 8 # Edition: # Issue: 5 # Pages: 383-387 # DOI: 10.1038/NGEO2422 # Online_Resource: http://www.nature.com/ngeo/journal/v8/n5/abs/ngeo2422.html # Full_Citation: # Abstract: The stability of terrestrial carbon reservoirs is thought to be closely linked to variations in climate, but the magnitude of carbon-climate feedbacks has proved difficult to constrain for both modern and millennial timescales. Reconstructions of atmospheric CO2 concentrations for the past thousand years have shown fluctuations on multidecadal to centennial timescales, but the causes of these fluctuations are unclear. Here we report high-resolution carbon isotope measurements of CO2 trapped within the ice of the West Antarctic Ice Sheet Divide ice core for the past 1,000 years. We use a deconvolution approach to show that changes in terrestrial organic carbon stores best explain the observed multidecadal variations in the d13C of CO2 and in CO2 concentrations from 755 to 1850 CE. If significant long-term carbon emissions came from pre-industrial anthropogenic land-use changes over this interval, the emissions must have been offset by a natural terrestrial sink for 13C-depleted carbon, such as peatlands. We find that on multidecadal timescales, carbon cycle changes seem to vary with reconstructed regional climate changes. We conclude that climate variability could be an important control of fluctuations in land carbon storage on these timescales. #------------------ # Publication # Authors: Jinho Ahn, Edward J. Brook, Logan Mitchell, Julia Rosen, Joseph R. McConnell, Kendrick Taylor, David Etheridge, and Mauro Rubino # Published_Date_or_Year: 2012-06-01 # Published_Title: Atmospheric CO2 over the last 1000 years: A high-resolution record from the West Antarctic Ice Sheet (WAIS) Divide ice core # Journal_Name: Global Biogeochemical Cycles # Volume: 26 # Edition: GB2027 # Issue: 2 # Pages: # DOI: 10.1029/2011GB004247 # Online_Resource: http://onlinelibrary.wiley.com/wol1/doi/10.1029/2011GB004247/abstract # Full_Citation: # Abstract: We report a decadally resolved record of atmospheric CO2 concentration for the last 1000 years, obtained from the West Antarctic Ice Sheet (WAIS) Divide shallow ice core. The most prominent feature of the pre-industrial period is a rapid ~7 ppm decrease of CO2 in a span of ~20-50 years at ~1600 A.D. This observation confirms the timing of an abrupt atmospheric CO2 decrease of ~10 ppm observed for that time period in the Law Dome ice core CO2 records, but the true magnitude of the decrease remains unclear. Atmospheric CO2 variations over the time period 1000-1800 A.D. are statistically correlated with northern hemispheric climate and tropical Indo-Pacific sea surface temperature. However, the exact relationship between CO2 and climate remains elusive due to regional climate variations and/or uneven geographical data density of paleoclimate records. We observe small differences of 0 ~ 2% (0 ~ 6 ppm) among the high-precision CO2 records from the Law Dome, EPICA Dronning Maud Land and WAIS Divide Antarctic ice cores. However, those records share common trends of CO2 change on centennial to multicentennial time scales, and clearly show that atmospheric CO2 has been increasing above preindustrial levels since ~1850 A.D. #------------------ # Funding_Agency # Funding_Agency_Name: US National Science Foundation # Grant: 0839078 #------------------ # Site_Information # Site_Name: WAIS Divide (WDC-05A and WDC-06A) # Location: Antarctica # Country: # Northernmost_Latitude: -79.467 # Southernmost_Latitude: -79.467 # Easternmost_Longitude: -112.1251 # Westernmost_Longitude: -112.1251 # Elevation: m #------------------ # Data_Collection # Collection_Name: WAIS2015d13CO2 # Earliest_Year: 753 # Most_Recent_Year: 1916 # Time_Unit: Year AD # Core_Length: 355m # Notes: #------------------ # Chronology: WDCO6A-7 as described in Mitchell, Logan, Edward Brook, James E. Lee, Christo Buizert, and Todd Sowers. 2013. # Constraints on the Late Holocene Anthropogenic Contribution to the Atmospheric Methane Budget. # Science 342(6161): 964-966. # # # #---------------- # Variables # # Data variables follow 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) # ## Core_ID WAIS Divide Core ID, , , , , , , ,C ## depth_top_m depth, , , m, , , top of sample interval, ,N ## depth_bot_m depth, , , m, , , bottom of sample interval, ,N ## depth_m depth, , , m, , , middle of sample interval, ,N ## age_AD age, , , calendar year AD, , , , ,N ## d13C_CO2 d13C CO2, carbon dioxide, , per mil VPDB, ,ice core, , ,N # #---------------- # Data: # Data lines follow (have no #) # Data line format - tab-delimited text, variable short name as header # Missing Values: # Core_ID depth_top_m depth_bot_m depth_m age_AD d13C_CO2 WDC05A 84.41 84.59 84.50 1916.37 -6.868 WDC05A 94.82 95.00 94.91 1871.58 -6.569 WDC05A 100.34 100.54 100.44 1847.24 -6.542 WDC05A 106.06 106.24 106.15 1822.16 -6.419 WDC05A 109.02 109.12 109.07 1809.02 -6.420 WDC05A 118.52 118.69 118.61 1767.04 -6.373 WDC05A 118.53 118.69 118.61 1767.02 -6.343 WDC05A 124.55 124.75 124.65 1740.19 -6.356 WDC05A 130.55 130.70 130.63 1713.95 -6.347 WDC05A 136.06 136.20 136.13 1689.38 -6.330 WDC05A 142.25 142.40 142.32 1662.22 -6.307 WDC05A 147.02 147.20 147.11 1641.56 -6.351 WDC05A 147.03 147.20 147.11 1641.56 -6.312 WDC05A 149.82 149.94 149.88 1629.15 -6.347 WDC05A 154.17 154.38 154.28 1609.47 -6.282 WDC05A 158.32 158.50 158.41 1591.06 -6.310 WDC05A 162.14 162.30 162.22 1574.16 -6.360 WDC05A 162.14 162.34 162.24 1574.09 -6.364 WDC05A 168.73 168.88 168.80 1544.89 -6.408 WDC05A 170.07 170.27 170.17 1538.94 -6.452 WDC05A 174.10 174.25 174.18 1520.94 -6.502 WDC05A 174.10 174.25 174.18 1520.94 -6.486 WDC05A 177.78 177.93 177.85 1504.38 -6.503 WDC05A 180.73 180.88 180.81 1491.24 -6.515 WDC05A 180.73 180.88 180.81 1491.24 -6.496 WDC05A 184.55 184.67 184.61 1474.33 -6.393 WDC05A 187.80 188.03 187.91 1459.45 -6.377 WDC05A 192.02 192.18 192.10 1440.57 -6.380 WDC05A 192.26 192.43 192.34 1439.63 -6.388 WDC05A 196.25 196.40 196.33 1421.86 -6.357 WDC05A 200.19 200.35 200.27 1404.46 -6.342 WDC05A 204.64 204.84 204.74 1384.84 -6.407 WDC05A 209.88 210.08 209.98 1361.29 -6.431 WDC05A 209.88 210.08 209.98 1361.29 -6.421 WDC05A 216.21 216.39 216.30 1332.81 -6.400 WDC05A 223.09 223.26 223.18 1302.47 -6.414 WDC05A 229.94 230.09 230.02 1272.02 -6.398 WDC05A 230.12 230.29 230.21 1271.24 -6.428 WDC05A 237.09 237.29 237.19 1240.45 -6.414 WDC05A 245.07 245.23 245.15 1205.36 -6.447 WDC05A 251.58 251.75 251.67 1176.73 -6.440 WDC05A 278.35 278.51 278.43 1061.44 -6.425 WDC05A 291.92 292.02 291.97 1004.07 -6.486 WDC06A 250.03 250.21 250.12 1183.63 -6.421 WDC06A 250.21 250.39 250.30 1182.75 -6.450 WDC06A 256.00 256.18 256.09 1157.24 -6.438 WDC06A 260.11 260.29 260.20 1139.45 -6.433 WDC06A 270.23 270.41 270.32 1096.00 -6.444 WDC06A 270.41 270.41 270.41 1095.56 -6.475 WDC06A 275.24 275.41 275.33 1074.71 -6.453 WDC06A 280.11 280.29 280.20 1054.17 -6.471 WDC06A 285.63 285.81 285.72 1030.74 -6.401 WDC06A 286.00 286.18 286.09 1029.25 -6.421 WDC06A 290.00 290.18 290.09 1012.10 -6.445 WDC06A 290.18 290.36 290.27 1011.14 -6.445 WDC06A 296.00 296.18 296.09 986.29 -6.382 WDC06A 300.06 300.24 300.15 968.86 -6.385 WDC06A 306.00 306.18 306.09 943.01 -6.370 WDC06A 310.00 310.18 310.09 925.85 -6.392 WDC06A 315.24 315.42 315.33 902.82 -6.379 WDC06A 320.43 320.61 320.52 879.92 -6.394 WDC06A 320.61 320.79 320.70 879.11 -6.397 WDC06A 325.24 325.42 325.33 859.27 -6.461 WDC06A 330.15 330.33 330.24 837.96 -6.391 WDC06A 335.24 335.42 335.33 816.30 -6.418 WDC06A 340.14 340.32 340.23 795.58 -6.369 WDC06A 340.32 340.50 340.41 794.74 -6.381 WDC06A 345.24 345.42 345.33 774.04 -6.367 WDC06A 350.15 350.33 350.24 753.31 -6.417