# europe_finl010 - Pyhan Hakin National Park - 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/4606 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_finl010 - Pyhan Hakin National Park - 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: Pyhan Hakin National Park # Location: # Country: Finland # Northernmost_Latitude: 62.85 # Southernmost_Latitude: 62.85 # Easternmost_Longitude: 25.48 # Westernmost_Longitude: 25.48 # Elevation: 185 m #-------------------- # Data_Collection # Collection_Name: europe_finl010B # Earliest_Year: 1724 # Most_Recent_Year: 1978 # Time_Unit: y_ad # Core_Length: # Notes: {"database":{"database1":"LMR","database2":"Breits"}} {"climateInterpretation":{"basis":"", "climateVariable":"T", "climateVariableDetail":"air", "interpDirection":"positive", "seasonality":"[6, 7, 8]"}}{"VSLite_parameters":{"T1":"5.32601961811","T2":"17.950083208","M1":"0.0223614357357","M2":"0.359756087486"}} #-------------------- # Species # Species_Name: Scots pine # Species_Code: PISY #-------------------- # 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 1724 0.972 1725 1.055 1726 0.924 1727 0.939 1728 0.941 1729 0.949 1730 0.962 1731 1.059 1732 1.324 1733 1.111 1734 1.167 1735 0.996 1736 0.99 1737 1.109 1738 1.264 1739 1.177 1740 1.027 1741 0.744 1742 0.824 1743 0.839 1744 0.761 1745 0.755 1746 0.933 1747 0.84 1748 1.226 1749 0.872 1750 0.949 1751 0.896 1752 1.406 1753 1.373 1754 1.537 1755 1.373 1756 1.367 1757 1.61 1758 1.438 1759 1.211 1760 1.219 1761 1.205 1762 1.314 1763 1.33 1764 1.349 1765 1.32 1766 1.182 1767 0.721 1768 0.611 1769 0.655 1770 0.702 1771 0.703 1772 0.748 1773 0.917 1774 1.051 1775 1.155 1776 1.423 1777 1.195 1778 1.315 1779 1.064 1780 1.161 1781 1.167 1782 1.143 1783 1.151 1784 1.284 1785 1.118 1786 0.865 1787 0.999 1788 0.968 1789 1.094 1790 0.709 1791 0.803 1792 0.799 1793 0.961 1794 0.948 1795 0.952 1796 0.895 1797 1.026 1798 1.182 1799 1.172 1800 0.977 1801 0.882 1802 0.943 1803 0.827 1804 0.73 1805 0.694 1806 0.519 1807 0.768 1808 0.783 1809 0.944 1810 0.82 1811 0.995 1812 0.957 1813 0.955 1814 0.955 1815 1.031 1816 1.112 1817 1.119 1818 1.134 1819 1.255 1820 0.837 1821 0.954 1822 1.089 1823 1.02 1824 0.95 1825 0.902 1826 0.985 1827 0.791 1828 0.963 1829 0.958 1830 1.04 1831 1.073 1832 0.977 1833 1.053 1834 1.274 1835 0.951 1836 0.925 1837 0.923 1838 1.115 1839 1.225 1840 1.082 1841 1.0 1842 1.066 1843 1.095 1844 1.148 1845 1.12 1846 1.114 1847 0.931 1848 1.15 1849 1.351 1850 1.271 1851 1.377 1852 1.2 1853 0.876 1854 1.163 1855 1.052 1856 1.068 1857 1.009 1858 1.107 1859 0.676 1860 0.815 1861 1.004 1862 0.682 1863 0.944 1864 0.884 1865 0.903 1866 1.072 1867 0.851 1868 0.951 1869 1.05 1870 1.197 1871 1.025 1872 1.127 1873 1.165 1874 0.974 1875 1.104 1876 0.938 1877 1.058 1878 0.923 1879 0.958 1880 0.841 1881 0.687 1882 1.207 1883 0.956 1884 0.734 1885 0.913 1886 0.828 1887 0.904 1888 0.79 1889 0.895 1890 1.039 1891 0.903 1892 0.734 1893 0.839 1894 0.878 1895 1.037 1896 1.017 1897 0.991 1898 0.986 1899 0.594 1900 0.697 1901 1.073 1902 0.68 1903 0.66 1904 0.618 1905 0.706 1906 0.882 1907 0.903 1908 0.86 1909 0.95 1910 0.89 1911 0.966 1912 1.115 1913 1.001 1914 0.925 1915 1.141 1916 1.06 1917 1.038 1918 0.852 1919 0.98 1920 0.932 1921 0.795 1922 1.112 1923 1.03 1924 1.086 1925 0.845 1926 0.668 1927 1.009 1928 0.659 1929 0.848 1930 1.172 1931 0.846 1932 0.795 1933 0.755 1934 0.907 1935 0.755 1936 0.796 1937 0.838 1938 0.859 1939 0.922 1940 0.663 1941 0.954 1942 0.722 1943 0.848 1944 0.92 1945 0.959 1946 1.018 1947 1.096 1948 0.925 1949 1.004 1950 1.104 1951 0.942 1952 1.032 1953 1.235 1954 1.735 1955 1.335 1956 1.021 1957 1.576 1958 1.267 1959 1.453 1960 1.312 1961 1.095 1962 1.093 1963 0.929 1964 0.986 1965 0.915 1966 1.149 1967 1.258 1968 1.105 1969 0.9 1970 1.064 1971 1.174 1972 1.463 1973 1.166 1974 1.147 1975 1.195 1976 1.084 1977 0.853 1978 1.102