# europe_spai046 - Cuenca Una Site 2 - 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/4245 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_spai046 - Cuenca Una Site 2 - 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: Cuenca Una Site 2 # Location: # Country: Spain # Northernmost_Latitude: 40.27 # Southernmost_Latitude: 40.27 # Easternmost_Longitude: -1.93 # Westernmost_Longitude: -1.93 # Elevation: 1440 m #-------------------- # Data_Collection # Collection_Name: europe_spai046B # Earliest_Year: 1666 # Most_Recent_Year: 1985 # Time_Unit: y_ad # Core_Length: # Notes: {"database":{"database1":"LMR","database2":"Breits"}} {"climateInterpretation":{"basis":"", "climateVariable":"M", "climateVariableDetail":"air", "interpDirection":"positive", "seasonality":"[6, 7, 8]"}}{"VSLite_parameters":{"T1":"3.75034059556","T2":"16.0153786731","M1":"0.0225422195112","M2":"0.526275895802"}} #-------------------- # Species # Species_Name: Austrian pine # Species_Code: PINI #-------------------- # 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 1666 1.1 1667 1.055 1668 1.016 1669 1.057 1670 1.304 1671 1.001 1672 1.154 1673 1.213 1674 1.123 1675 1.109 1676 1.027 1677 1.2 1678 1.152 1679 1.227 1680 1.172 1681 1.233 1682 0.915 1683 0.732 1684 0.652 1685 0.789 1686 0.93 1687 1.087 1688 0.878 1689 1.055 1690 0.955 1691 1.229 1692 1.197 1693 1.087 1694 0.942 1695 0.719 1696 0.988 1697 0.976 1698 1.145 1699 1.165 1700 1.03 1701 1.307 1702 1.51 1703 1.114 1704 1.148 1705 1.236 1706 1.092 1707 0.839 1708 0.864 1709 0.919 1710 1.345 1711 1.008 1712 0.927 1713 0.505 1714 0.844 1715 0.913 1716 0.677 1717 0.671 1718 1.106 1719 1.109 1720 1.086 1721 1.317 1722 1.32 1723 1.158 1724 0.008 1725 0.319 1726 0.303 1727 0.504 1728 0.877 1729 0.439 1730 0.923 1731 1.058 1732 0.966 1733 0.912 1734 1.012 1735 0.945 1736 1.179 1737 1.117 1738 1.003 1739 0.702 1740 0.017 1741 0.316 1742 0.403 1743 0.584 1744 0.802 1745 0.992 1746 0.876 1747 1.129 1748 1.117 1749 1.027 1750 1.019 1751 0.468 1752 0.192 1753 0.135 1754 0.316 1755 0.425 1756 0.67 1757 0.994 1758 1.186 1759 1.371 1760 1.357 1761 1.289 1762 1.614 1763 1.907 1764 1.724 1765 1.276 1766 1.007 1767 1.08 1768 0.88 1769 0.767 1770 0.648 1771 0.85 1772 1.064 1773 1.117 1774 0.859 1775 0.913 1776 0.737 1777 0.519 1778 0.551 1779 0.345 1780 0.433 1781 0.822 1782 0.857 1783 1.282 1784 1.38 1785 1.323 1786 1.003 1787 1.324 1788 1.571 1789 1.244 1790 1.072 1791 1.678 1792 1.877 1793 1.525 1794 1.445 1795 1.649 1796 2.059 1797 1.35 1798 1.071 1799 1.103 1800 0.994 1801 0.983 1802 0.939 1803 0.525 1804 0.837 1805 0.751 1806 0.64 1807 0.729 1808 0.796 1809 1.024 1810 1.284 1811 1.083 1812 1.099 1813 1.569 1814 1.615 1815 1.696 1816 1.034 1817 1.201 1818 1.355 1819 1.395 1820 1.277 1821 1.248 1822 1.028 1823 0.879 1824 0.753 1825 1.196 1826 1.208 1827 0.961 1828 0.942 1829 0.955 1830 0.885 1831 0.885 1832 0.874 1833 0.844 1834 1.355 1835 1.154 1836 1.002 1837 1.078 1838 0.929 1839 0.867 1840 0.651 1841 0.79 1842 0.496 1843 0.762 1844 0.845 1845 0.97 1846 1.23 1847 0.928 1848 0.842 1849 0.882 1850 1.137 1851 0.989 1852 0.908 1853 0.825 1854 0.82 1855 0.935 1856 1.149 1857 1.139 1858 1.076 1859 0.893 1860 0.738 1861 0.715 1862 0.632 1863 0.39 1864 0.489 1865 0.544 1866 0.685 1867 0.73 1868 0.81 1869 0.904 1870 0.748 1871 0.95 1872 0.775 1873 0.705 1874 0.786 1875 0.813 1876 0.863 1877 1.187 1878 1.134 1879 0.427 1880 0.726 1881 0.908 1882 0.892 1883 0.949 1884 1.065 1885 1.409 1886 1.092 1887 0.825 1888 1.084 1889 1.125 1890 0.823 1891 0.897 1892 0.991 1893 0.962 1894 -0.007 1895 0.286 1896 0.591 1897 0.558 1898 0.617 1899 0.785 1900 0.675 1901 0.526 1902 0.669 1903 1.01 1904 0.852 1905 1.08 1906 0.877 1907 1.025 1908 1.209 1909 0.934 1910 0.807 1911 0.825 1912 1.159 1913 0.964 1914 1.33 1915 0.865 1916 0.803 1917 0.733 1918 0.779 1919 0.911 1920 1.06 1921 1.031 1922 1.093 1923 0.899 1924 0.77 1925 0.894 1926 1.291 1927 1.031 1928 1.094 1929 0.96 1930 1.031 1931 0.977 1932 1.113 1933 1.456 1934 1.056 1935 1.044 1936 1.269 1937 1.386 1938 1.288 1939 1.067 1940 1.887 1941 1.383 1942 1.049 1943 1.36 1944 1.365 1945 1.195 1946 0.867 1947 0.986 1948 0.976 1949 0.901 1950 1.113 1951 1.273 1952 1.582 1953 1.455 1954 1.237 1955 0.999 1956 1.154 1957 0.875 1958 1.019 1959 1.433 1960 1.523 1961 1.398 1962 1.155 1963 0.501 1964 0.832 1965 0.522 1966 0.791 1967 0.686 1968 0.479 1969 0.569 1970 0.741 1971 0.605 1972 0.661 1973 0.999 1974 0.884 1975 0.919 1976 1.169 1977 1.103 1978 1.004 1979 0.987 1980 1.244 1981 0.791 1982 1.067 1983 1.145 1984 0.858 1985 0.967