# Subpolar North Atlantic 2000 Year Diatom August SST Reconstruction #----------------------------------------------------------------------- # 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=519:1:0::::P1_STUDY_ID:12905 # # Online_Resource: https://www.ncdc.noaa.gov/paleo/study/24611 # # Original_Source_URL: ftp://ftp.ncdc.noaa.gov/pub/data/paleo/contributions_by_author/miettinen2012/miettinen2012.txt # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Climate Reconstructions # -------------------- # Contribution_date # Date: 2012 # -------------------- # Title # Study_Name: Subpolar North Atlantic 2000 Year Diatom August SST Reconstruction # -------------------- # Investigators # Investigators: Miettinen, A.; Divine, N.; Koc, N.; Godtliebsen, F.; Hall, I.R. # -------------------- # Description_and_Notes # Description: A 2000-year-long (0-2004 AD) August Sea Surface Temperature (aSST) record with high-resolution. The aSST reconstruction is based on fossil diatom assemblages and the weighted averaging partial least squares (WA-PLS) transfer function method. Core Rapid 21-COM represents a composite of two individual sediment cores (Rapid 21-12B and Rapid 21-3K), which were recovered from the southern limb of the Gardar Drift, south of Iceland, during the RRS Charles Darwin cruise 159 in 2004. The age model for core Rapid 21-COM is based on 210Pb dating for the 54.3-cm-long sediment box-core Rapid 21-12B (Boessenkool et al. 2007) and on 14C dating for the 372.5-cm-long kasten core Rapid 21-3K (Boessenkool et al. 2007; Sicre et al. 2011). The previously published diatom-based aSST record from core Rapid 21–12B has 2-yr-average resolution for the last 230 years (Miettinen et al. 2011). Core Rapid 21-3K was sampled continuously at 1.0-cm intervals and analyzed at 1- to 5-cm intervals with a resolution of 8-10 yr for the interval AD 800-1770, representing the highest-resolution diatom SST reconstruction from the subpolar North Atlantic for this period, and 40 yr for interval 0-AD 800. Composite core Rapid 21-COM: 57°27.09'N, 27°54.53'W, 2,630 m water depth # -------------------- # Publication # Authors: A. Miettinen, D. Divine, N. Koc, F. Godtliebsen, and I.R. Hall # Published_Date_or_Year: 2012 # Published_Title: Multicentennial variability of the sea surface temperature gradient across the subpolar North Atlantic over the last 2.8 kyr. # Journal_Name: Journal of Climate # Volume: # Edition: # Issue: # Pages: # DOI: 10.1175/JCLI-D-11-00581.1 # Online_Resource: # Full_Citation: # Abstract: A 2800-yr-long August sea surface temperature (aSST) record based on fossil diatom assemblages is generated from a marine sediment core from the northern subpolar North Atlantic. The record is compared with the aSST record from the Norwegian Sea to explore the variability of the aSST gradient between these areas during the late Holocene. The aSST records demonstrate the opposite climate tendencies toward a persistent warming in the core site in the subpolar North Atlantic and cooling in the Norwegian Sea. At the multicentennial scale of aSST variability of 600-900 yr, the records are nearly in antiphase with warmer (colder) periods in the subpolar North Atlantic corresponding to the colder (warmer) periods in the Norwegian Sea. At the shorter time scale of 200-450 yr, the records display a phase-locked behavior with a tendency for the positive aSST anomalies in the Norwegian Sea to lead, by ~30 yr, the negative aSST anomalies in the subpolar North Atlantic. This apparent aSST seesaw might have an effect on two major anomalies of the European climate of the past Millennium: Medieval Warm Period (MWP) and the Little Ice Age (LIA). During the MWP warming of the sea surface in the Norwegian Sea occurred in parallel with cooling in the northern subpolar North Atlantic, whereas the opposite pattern emerged during the LIA. The results suggest that the observed aSST seesaw between the subpolar North Atlantic and the Norwegian Sea could be a surface expression of the variability of the eastern and western branches of the Atlantic meridional overturning circulation (AMOC) with a possible amplification through atmospheric feedback. # -------------------- # 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: Joint Institute for the Study of the Atmosphere and Ocean # Grant: NA17RJ1232 # -------------------- # Funding_Agency_Name: National Science Foundation # Grant:AGS-1304263 # Funding_Agency_Name: National Oceanic and Atmospheric Administration # Grant:NA14OAR4310176 #------------------ # Site_Information # Site_Name: Protection Island, Strait of Juan de Fuca # Location: North America>United States>Washington # Country: United States # Northernmost_Latitude: 57.4515 # Southernmost_Latitude: 57.4515 # Easternmost_Longitude: 27.90833 # Westernmost_Longitude: 27.90833 # Elevation: # -------------------- # Data_Collection # Collection_Name: 12SubP01 # Earliest_Year: 2 # Most_Recent_Year: 2004 # Time_Unit: y_ad # # -------------------- # 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 ##sst August sea surface temperature, , , degrees C, August, Climate Reconstruction, , ,N # # -------------------- # Data: # Data lines follow (have no #) # Data line format - tab-delimited text, variable short name as header # Missing values: NAN # age sst 2004 14.1 2002 13.4 2000 14 1998 13.3 1995 13.5 1993 13.5 1991 14 1989 13.8 1987 13.1 1985 13.1 1983 13.6 1980 13.8 1978 13.4 1976 12.9 1974 13.7 1972 13.8 1970 13.6 1968 13.5 1965 13.6 1963 13.5 1961 13.7 1959 13.4 1957 13.6 1955 13.9 1952 14.1 1950 13.5 1948 13.7 1946 13.3 1944 13.5 1942 13.5 1940 13.7 1937 13.2 1935 13.3 1933 13.6 1931 13.3 1929 13.2 1927 13.4 1925 14 1922 13.3 1920 13.9 1918 13.4 1916 13.9 1914 13.2 1912 13.8 1910 13.7 1907 13.5 1905 13.4 1903 13.8 1901 13.6 1899 13.6 1897 13.5 1895 13.5 1892 13.2 1890 13.5 1888 13.8 1886 13.6 1884 13.6 1882 13.9 1880 14.2 1877 13.9 1875 13.8 1873 14.2 1871 14 1869 14.3 1867 14.1 1865 13.8 1862 14 1860 14 1858 13.1 1856 13.7 1854 13.6 1852 13.8 1849 13.1 1847 13.4 1845 13.5 1843 13.8 1841 13.4 1839 13.1 1837 13.2 1834 14 1832 13.3 1830 13.7 1828 13.5 1826 13.4 1824 12.9 1822 13.3 1819 13.8 1817 14 1815 12.9 1813 13.4 1811 13.1 1809 13.1 1807 12.9 1804 13 1802 13 1800 13.1 1798 13.3 1796 13.1 1794 13.1 1792 13.7 1789 13.3 1787 13.1 1785 13.3 1783 12.9 1781 13 1779 13.2 1777 13.1 1774 13.5 1773 12.6 1762 13.3 1752 12.6 1742 13.1 1732 13.4 1722 13.2 1711 13.6 1701 13.5 1691 13.4 1681 13.3 1671 13.4 1661 13.8 1651 13.7 1641 13 1631 13.4 1621 13.2 1611 13.5 1601 13 1591 13.8 1582 13.2 1572 13.1 1562 13.2 1552 13.5 1542 13 1532 13.7 1522 13.4 1512 13.1 1502 12.6 1492 13.5 1482 13.7 1474 12.8 1465 12.9 1457 13.6 1448 13.7 1440 13.2 1431 13.6 1423 12.9 1414 12.9 1406 13.3 1397 12.7 1389 12.9 1380 13 1372 13.1 1363 13 1355 13.1 1346 13.5 1338 12.9 1329 13.2 1321 12.8 1312 12.9 1304 13 1295 13 1287 12.8 1285 12.3 1276 13.1 1267 12.8 1258 13.8 1249 13.3 1241 13.4 1232 13.5 1223 12.9 1214 13.6 1205 12.8 1203 12.6 1193 12.3 1182 12.3 1172 13.4 1162 12.9 1151 12.8 1141 12.5 1131 12.9 1120 12.5 1110 12.7 1089 12.8 1079 13.2 1069 13 1058 13 1048 13.1 1038 13 1027 13.4 1017 13.3 1007 12.6 996 13.2 986 12.8 965 12.8 955 12.4 945 12.4 934 12.7 924 12.5 914 13.1 903 12.9 893 13.2 883 12.6 872 11.9 862 12.8 852 13.8 842 13 832 13.4 821 13.1 810 13.3 802 12.9 765 13.2 724 13.1 683 13.5 622 12.6 581 11.9 540 13.1 499 13.6 461 13 423 12.8 381 12.9 347 12.6 310 12.4 272 12.2 234 12.9 196 12.5 158 12.9 120 13.2 84 13.2 43 12.9 2 12.9