# europe_turk010 - Kalkim Forest - 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/3807 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_turk010 - Kalkim Forest - 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: Kalkim Forest # Location: # Country: Turkey # Northernmost_Latitude: 39.8 # Southernmost_Latitude: 39.8 # Easternmost_Longitude: 27.13 # Westernmost_Longitude: 27.13 # Elevation: 1200 m #-------------------- # Data_Collection # Collection_Name: europe_turk010B # Earliest_Year: 1689 # Most_Recent_Year: 1999 # 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":"3.70657495991","T2":"15.3357886328","M1":"0.0228977290044","M2":"0.465238566207"}} #-------------------- # 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 1689 1.209 1690 1.128 1691 0.92 1692 1.369 1693 1.131 1694 0.919 1695 1.046 1696 1.111 1697 0.956 1698 1.029 1699 1.029 1700 1.053 1701 1.033 1702 0.95 1703 0.962 1704 0.964 1705 1.136 1706 0.871 1707 0.936 1708 1.026 1709 1.126 1710 0.766 1711 0.821 1712 0.967 1713 0.91 1714 0.728 1715 0.818 1716 0.901 1717 1.24 1718 0.879 1719 1.054 1720 1.014 1721 0.948 1722 0.805 1723 0.934 1724 1.121 1725 0.531 1726 0.578 1727 0.946 1728 1.188 1729 1.112 1730 0.965 1731 1.005 1732 1.026 1733 0.978 1734 0.759 1735 0.975 1736 1.039 1737 0.904 1738 0.846 1739 1.041 1740 0.911 1741 0.844 1742 1.145 1743 1.076 1744 1.098 1745 0.791 1746 0.674 1747 0.72 1748 0.735 1749 0.792 1750 0.807 1751 1.03 1752 0.904 1753 1.197 1754 0.97 1755 1.009 1756 0.952 1757 0.871 1758 0.913 1759 0.836 1760 0.902 1761 0.903 1762 1.111 1763 1.093 1764 1.016 1765 1.245 1766 1.02 1767 1.113 1768 0.994 1769 1.024 1770 1.238 1771 1.101 1772 0.939 1773 0.843 1774 1.036 1775 1.096 1776 0.839 1777 1.02 1778 0.919 1779 0.517 1780 0.849 1781 0.794 1782 0.894 1783 1.068 1784 1.051 1785 0.915 1786 1.01 1787 0.961 1788 1.364 1789 1.171 1790 0.662 1791 0.68 1792 0.907 1793 0.684 1794 0.588 1795 0.77 1796 0.82 1797 0.826 1798 0.796 1799 1.082 1800 1.094 1801 0.968 1802 1.344 1803 1.191 1804 1.399 1805 1.11 1806 1.231 1807 0.789 1808 0.234 1809 0.724 1810 1.142 1811 1.042 1812 1.009 1813 0.888 1814 1.133 1815 1.257 1816 1.311 1817 1.119 1818 1.363 1819 1.198 1820 0.835 1821 0.938 1822 1.073 1823 1.001 1824 0.86 1825 0.824 1826 1.016 1827 1.143 1828 0.756 1829 1.157 1830 0.858 1831 0.723 1832 0.717 1833 0.878 1834 0.863 1835 1.043 1836 0.967 1837 1.406 1838 1.378 1839 1.213 1840 0.794 1841 1.01 1842 0.995 1843 0.978 1844 1.243 1845 1.462 1846 1.315 1847 0.991 1848 0.788 1849 0.764 1850 0.803 1851 0.83 1852 0.565 1853 0.987 1854 1.052 1855 1.413 1856 1.004 1857 0.965 1858 1.013 1859 0.954 1860 0.749 1861 0.836 1862 1.098 1863 0.813 1864 0.725 1865 1.025 1866 1.04 1867 1.024 1868 0.758 1869 1.112 1870 0.88 1871 1.299 1872 1.182 1873 0.893 1874 0.758 1875 0.947 1876 0.983 1877 0.817 1878 0.549 1879 0.846 1880 0.95 1881 1.018 1882 0.813 1883 0.854 1884 0.769 1885 0.794 1886 0.895 1887 0.69 1888 1.045 1889 1.269 1890 1.004 1891 0.945 1892 1.127 1893 0.93 1894 0.552 1895 0.884 1896 0.92 1897 1.084 1898 0.491 1899 0.495 1900 0.701 1901 0.748 1902 0.685 1903 0.735 1904 0.917 1905 0.878 1906 0.847 1907 0.879 1908 0.871 1909 0.776 1910 0.763 1911 0.742 1912 0.747 1913 1.398 1914 1.619 1915 1.651 1916 1.085 1917 0.829 1918 0.779 1919 1.284 1920 0.952 1921 0.652 1922 0.714 1923 0.827 1924 0.744 1925 0.758 1926 0.757 1927 0.731 1928 0.675 1929 0.761 1930 1.009 1931 0.956 1932 0.808 1933 1.015 1934 0.813 1935 0.99 1936 0.975 1937 0.932 1938 0.873 1939 1.026 1940 1.152 1941 1.187 1942 1.101 1943 1.034 1944 0.926 1945 0.781 1946 0.536 1947 0.534 1948 0.588 1949 0.511 1950 0.869 1951 1.226 1952 0.753 1953 1.023 1954 0.925 1955 1.052 1956 1.226 1957 0.949 1958 1.388 1959 1.538 1960 1.602 1961 1.318 1962 1.181 1963 1.092 1964 1.302 1965 1.276 1966 1.227 1967 1.36 1968 0.997 1969 1.017 1970 1.739 1971 1.784 1972 1.34 1973 1.393 1974 1.191 1975 1.362 1976 0.98 1977 1.055 1978 1.413 1979 1.477 1980 1.475 1981 1.296 1982 1.126 1983 1.165 1984 1.16 1985 0.911 1986 1.085 1987 0.742 1988 0.775 1989 1.01 1990 0.798 1991 0.676 1992 0.947 1993 0.814 1994 0.734 1995 0.689 1996 0.869 1997 0.721 1998 0.905 1999 0.882