# europe_spai045 - Cuenca Una Site 1 - 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/4244 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_spai045 - Cuenca Una Site 1 - 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 1 # Location: # Country: Spain # Northernmost_Latitude: 40.25 # Southernmost_Latitude: 40.25 # Easternmost_Longitude: -1.93 # Westernmost_Longitude: -1.93 # Elevation: 1385 m #-------------------- # Data_Collection # Collection_Name: europe_spai045B # Earliest_Year: 1660 # 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":"3.62812281892","T2":"15.7164331323","M1":"0.0230954755178","M2":"0.523081892091"}} #-------------------- # 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 1660 0.807 1661 1.014 1662 0.745 1663 0.767 1664 0.803 1665 1.113 1666 0.987 1667 1.026 1668 0.847 1669 1.064 1670 1.322 1671 0.956 1672 1.015 1673 0.88 1674 0.915 1675 0.959 1676 0.919 1677 1.163 1678 0.972 1679 1.115 1680 0.943 1681 0.968 1682 0.744 1683 0.68 1684 1.009 1685 1.154 1686 0.993 1687 0.932 1688 0.859 1689 1.168 1690 1.195 1691 1.356 1692 1.324 1693 1.171 1694 0.966 1695 0.724 1696 1.215 1697 1.074 1698 1.054 1699 0.987 1700 0.993 1701 1.293 1702 1.241 1703 1.168 1704 1.213 1705 1.27 1706 1.171 1707 0.954 1708 1.118 1709 1.156 1710 1.366 1711 1.007 1712 0.814 1713 0.547 1714 0.996 1715 1.006 1716 0.608 1717 0.735 1718 1.019 1719 1.206 1720 1.1 1721 1.381 1722 1.099 1723 1.245 1724 0.001 1725 0.43 1726 0.459 1727 0.763 1728 0.878 1729 0.528 1730 0.879 1731 0.859 1732 0.902 1733 0.986 1734 0.873 1735 0.887 1736 1.095 1737 1.07 1738 0.943 1739 1.093 1740 0.925 1741 0.636 1742 0.745 1743 0.857 1744 0.907 1745 0.913 1746 0.795 1747 0.971 1748 0.974 1749 0.856 1750 1.152 1751 0.563 1752 0.565 1753 0.174 1754 0.415 1755 0.514 1756 0.652 1757 0.922 1758 0.936 1759 1.033 1760 1.226 1761 1.042 1762 1.43 1763 1.701 1764 1.497 1765 1.663 1766 1.287 1767 1.207 1768 1.087 1769 0.736 1770 0.565 1771 0.711 1772 0.852 1773 0.778 1774 0.594 1775 0.969 1776 0.83 1777 0.932 1778 0.851 1779 0.056 1780 0.405 1781 0.725 1782 0.708 1783 1.197 1784 1.132 1785 1.099 1786 0.667 1787 1.108 1788 1.586 1789 1.184 1790 1.119 1791 1.837 1792 1.738 1793 1.387 1794 1.555 1795 1.635 1796 1.817 1797 1.092 1798 0.993 1799 1.239 1800 1.055 1801 0.967 1802 0.921 1803 0.434 1804 0.772 1805 0.659 1806 0.342 1807 0.345 1808 0.473 1809 0.522 1810 0.598 1811 0.696 1812 0.741 1813 1.449 1814 1.61 1815 1.366 1816 0.978 1817 0.997 1818 1.447 1819 1.316 1820 1.191 1821 1.156 1822 0.943 1823 0.787 1824 0.727 1825 1.125 1826 1.02 1827 0.788 1828 0.835 1829 0.995 1830 0.923 1831 1.043 1832 0.976 1833 0.974 1834 1.37 1835 0.993 1836 0.998 1837 1.198 1838 0.98 1839 0.857 1840 0.767 1841 0.978 1842 0.598 1843 0.998 1844 1.018 1845 1.107 1846 1.234 1847 0.943 1848 0.899 1849 0.82 1850 1.122 1851 0.968 1852 0.942 1853 0.821 1854 1.011 1855 1.351 1856 1.291 1857 1.179 1858 1.173 1859 1.236 1860 0.997 1861 0.799 1862 0.619 1863 0.611 1864 0.792 1865 0.754 1866 0.843 1867 0.813 1868 0.928 1869 1.041 1870 0.758 1871 0.963 1872 0.779 1873 0.815 1874 1.023 1875 0.986 1876 0.951 1877 1.322 1878 0.968 1879 0.452 1880 0.708 1881 0.839 1882 0.786 1883 0.839 1884 1.182 1885 1.274 1886 1.125 1887 0.637 1888 0.964 1889 1.014 1890 0.785 1891 0.859 1892 1.123 1893 0.97 1894 0.656 1895 0.67 1896 0.779 1897 0.73 1898 0.683 1899 0.992 1900 0.522 1901 0.421 1902 0.671 1903 0.867 1904 0.801 1905 0.854 1906 0.944 1907 0.899 1908 1.327 1909 0.942 1910 0.96 1911 1.07 1912 1.155 1913 1.147 1914 1.719 1915 1.267 1916 0.981 1917 1.078 1918 0.882 1919 1.134 1920 1.624 1921 1.2 1922 1.32 1923 1.164 1924 0.73 1925 0.996 1926 1.228 1927 1.048 1928 1.249 1929 1.29 1930 1.266 1931 1.082 1932 1.202 1933 1.327 1934 0.837 1935 0.918 1936 1.157 1937 1.238 1938 1.136 1939 1.079 1940 1.66 1941 1.178 1942 0.915 1943 0.913 1944 1.035 1945 0.912 1946 0.692 1947 0.78 1948 1.172 1949 0.982 1950 0.902 1951 1.224 1952 1.486 1953 1.215 1954 1.093 1955 1.166 1956 0.921 1957 0.849 1958 0.829 1959 1.131 1960 1.426 1961 1.355 1962 0.999 1963 0.56 1964 0.953 1965 0.398 1966 0.928 1967 0.477 1968 0.304 1969 0.462 1970 0.55 1971 0.496 1972 0.553 1973 0.843 1974 0.694 1975 0.822 1976 1.012 1977 0.924 1978 0.944 1979 1.065 1980 1.209 1981 0.782 1982 1.122 1983 0.997 1984 0.661 1985 0.852