# australia_newz074 - Hauhungatahi Site C Tongariro - Breitenmoser Tree Ring Chronology 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: # # Online_Resource: https://www.ncdc.noaa.gov/paleo/study/24611 # # Original_Source_URL:https://www.ncdc.noaa.gov/paleo/study/5366 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: australia_newz074 - Hauhungatahi Site C Tongariro - Breitenmoser Tree Ring Chronology Data #-------------------- # Investigators # Investigators: Breitenmoser, P.; Bronnimann, S.; Frank, D. #-------------------- # Description_and_Notes # Description: Data from Breitenmoser 2014 Journal of past Climate supplementary, see publication for ARSTAN standardization details #-------------------- # Publication # Authors: Breitenmoser, P.; Bronnimann, S.; Frank, D. # Published_Date_or_Year: 2014-03-11 # Published_Title: Forward modelling of tree-ring width and comparison with a global network of tree-ring chronologies # Journal_Name: Climate of the Past # Volume: 10 # Edition: # Issue: # Pages: 437-449 # DOI: 10.5194/cp-10-437-2014 # Online_Resource: www.clim-past.net/10/437/2014/ # Full_Citation: # Abstract: We investigate relationships between climate and tree-ring data on a global scale using the process-based Vaganov–Shashkin Lite (VSL) forward model of tree-ring width formation. The VSL model requires as inputs only latitude, monthly mean temperature, and monthly accumulated precipitation. Hence, this simple, process-based model enables ring-width simulation at any location where monthly climate records exist. In this study, we analyse the growth response of simulated tree rings to monthly climate conditions obtained from the CRU TS3.1 data set back to 1901. Our key aims are (a) to assess the VSL model performance by examining the relations between simulated and observed growth at 2287 globally distributed sites, (b) indentify optimal growth parameters found during the model calibration, and (c) to evaluate the potential of the VSL model as an observation operator for data-assimilation-based reconstructions of climate from tree-ring width. The assessment of the growth-onset threshold temperature of approximately 4–6 C for most sites and species using a Bayesian estimation approach complements other studies on the lower temperature limits where plant growth may be sustained. Our results suggest that the VSL model skilfully simulates site level treering series in response to climate forcing for a wide range of environmental conditions and species. Spatial aggregation of the tree-ring chronologies to reduce non-climatic noise at the site level yielded notable improvements in the coherence between modelled and actual growth. The resulting distinct and coherent patterns of significant relationships between the aggregated and simulated series further demonstrate the VSL model’s ability to skilfully capture the climatic signal contained in tree-ring series. Finally, we propose that the VSL model can be used as an observation operator in data assimilation approaches to reconstruct past climate. #-------------------- # 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: Swiss National Science Foundation # Grant: #-------------------- # Funding_Agency_Name: National Science Foundation # Grant:AGS-1304263 # Funding_Agency_Name: National Oceanic and Atmospheric Administration # Grant:NA14OAR4310176 #------------------ # Site_Information # Site_Name: Hauhungatahi Site C Tongariro # Location: # Country: New Zealand # Northernmost_Latitude: -39.23 # Southernmost_Latitude: -39.23 # Easternmost_Longitude: 175.43 # Westernmost_Longitude: 175.43 # Elevation: 1000 m #-------------------- # Data_Collection # Collection_Name: australia_newz074B # Earliest_Year: 1213 # Most_Recent_Year: 1992 # Time_Unit: y_ad # Core_Length: # Notes: {"database":{"database1":"LMR","database2":"Breits"}} {"climateInterpretation":{"basis":"", "climateVariable":"T", "climateVariableDetail":"air", "interpDirection":"positive", "seasonality":"[-12, 1, 2]"}}{"VSLite_parameters":{"T1":"5.61935750629","T2":"14.3451926972","M1":"0.0223506944679","M2":"0.405038712966"}} #-------------------- # Species # Species_Name: New Zealand cedar # Species_Code: LIBI #-------------------- # Chronology: # # # #-------------------- # 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 ##trsgi tree ring standardized growth index, tree ring, ,percent relative to mean growth, , Tree Rings, , ,N # #-------------------- # Data: # Data lines follow (have no #) # Data line format - tab-delimited text, variable short name as header # Missing Values: nan # age trsgi 1213 0.754 1214 0.736 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1.045 1307 1.113 1308 0.847 1309 0.819 1310 0.672 1311 0.882 1312 0.751 1313 0.723 1314 0.703 1315 0.741 1316 0.628 1317 0.922 1318 0.911 1319 0.945 1320 0.848 1321 0.967 1322 0.819 1323 0.849 1324 0.665 1325 0.957 1326 0.918 1327 0.799 1328 0.627 1329 0.769 1330 0.736 1331 0.934 1332 0.789 1333 1.162 1334 1.127 1335 0.912 1336 0.948 1337 0.911 1338 1.065 1339 1.436 1340 1.14 1341 1.021 1342 0.9 1343 0.96 1344 0.995 1345 0.948 1346 0.81 1347 0.789 1348 0.999 1349 0.864 1350 0.762 1351 0.753 1352 0.879 1353 0.854 1354 1.055 1355 1.194 1356 1.289 1357 1.076 1358 1.046 1359 1.094 1360 1.286 1361 0.665 1362 0.956 1363 0.708 1364 1.069 1365 0.401 1366 0.571 1367 0.89 1368 0.884 1369 0.831 1370 0.99 1371 0.91 1372 1.081 1373 0.942 1374 0.917 1375 0.793 1376 0.747 1377 0.579 1378 1.144 1379 1.069 1380 0.98 1381 1.187 1382 0.953 1383 0.899 1384 1.207 1385 0.676 1386 0.701 1387 0.405 1388 0.609 1389 0.573 1390 0.64 1391 0.668 1392 0.641 1393 0.308 1394 0.751 1395 0.713 1396 0.727 1397 1.023 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1765 0.735 1766 0.977 1767 0.851 1768 0.862 1769 0.984 1770 0.521 1771 0.801 1772 0.911 1773 0.993 1774 0.998 1775 1.045 1776 0.878 1777 0.88 1778 0.905 1779 0.837 1780 0.899 1781 0.798 1782 0.784 1783 0.877 1784 0.781 1785 0.795 1786 0.944 1787 0.982 1788 0.904 1789 1.121 1790 1.107 1791 1.017 1792 0.975 1793 1.082 1794 0.937 1795 1.211 1796 0.935 1797 1.179 1798 0.95 1799 1.415 1800 1.46 1801 1.543 1802 1.565 1803 1.089 1804 1.249 1805 1.497 1806 1.072 1807 1.109 1808 1.096 1809 1.013 1810 0.779 1811 0.845 1812 0.795 1813 0.839 1814 0.926 1815 1.023 1816 0.928 1817 0.819 1818 1.003 1819 0.988 1820 0.914 1821 1.032 1822 0.96 1823 1.038 1824 1.122 1825 1.266 1826 0.984 1827 1.231 1828 1.19 1829 1.093 1830 0.603 1831 0.828 1832 0.722 1833 0.537 1834 0.604 1835 0.648 1836 0.714 1837 0.717 1838 0.875 1839 0.836 1840 0.694 1841 0.882 1842 0.891 1843 0.899 1844 0.832 1845 0.985 1846 0.787 1847 0.677 1848 1.008 1849 0.934 1850 0.891 1851 1.06 1852 1.052 1853 1.041 1854 0.751 1855 0.798 1856 0.917 1857 0.909 1858 0.849 1859 0.953 1860 0.816 1861 0.984 1862 1.102 1863 1.196 1864 1.414 1865 0.957 1866 1.427 1867 1.069 1868 1.203 1869 1.157 1870 1.077 1871 1.005 1872 0.594 1873 0.914 1874 1.193 1875 1.267 1876 1.526 1877 1.462 1878 1.068 1879 0.968 1880 0.945 1881 0.951 1882 0.928 1883 0.688 1884 0.679 1885 0.922 1886 0.946 1887 1 1888 0.918 1889 0.84 1890 0.956 1891 1.085 1892 1.026 1893 0.926 1894 1.013 1895 1.046 1896 1.419 1897 1.196 1898 1.273 1899 1.267 1900 1.332 1901 1.25 1902 0.842 1903 0.862 1904 0.615 1905 0.8 1906 0.785 1907 0.347 1908 0.701 1909 0.719 1910 0.493 1911 0.646 1912 0.642 1913 0.744 1914 0.877 1915 1.153 1916 0.606 1917 0.956 1918 0.735 1919 0.918 1920 0.726 1921 1.047 1922 0.925 1923 0.89 1924 0.451 1925 0.548 1926 0.767 1927 0.68 1928 0.632 1929 0.819 1930 0.744 1931 1.031 1932 1.088 1933 1.14 1934 1.172 1935 0.503 1936 0.687 1937 0.925 1938 0.466 1939 0.445 1940 0.504 1941 0.634 1942 0.8 1943 1.097 1944 1.012 1945 0.915 1946 0.84 1947 0.94 1948 0.767 1949 0.816 1950 0.856 1951 0.829 1952 0.671 1953 0.869 1954 0.612 1955 0.763 1956 0.723 1957 0.719 1958 0.727 1959 0.807 1960 0.925 1961 0.759 1962 0.639 1963 0.891 1964 0.841 1965 0.813 1966 0.708 1967 0.935 1968 0.784 1969 0.81 1970 0.649 1971 0.713 1972 0.668 1973 0.571 1974 0.541 1975 0.557 1976 0.795 1977 0.977 1978 0.961 1979 1.065 1980 0.991 1981 0.668 1982 0.872 1983 1.003 1984 0.882 1985 0.772 1986 0.761 1987 1.413 1988 0.897 1989 0.996 1990 0.743 1991 0.738 1992 0.99