# europe_finl011 - Laagennus Pyhantunturi 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/4492 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_finl011 - Laagennus Pyhantunturi 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: Laagennus Pyhantunturi National Park # Location: # Country: Finland # Northernmost_Latitude: 67.0 # Southernmost_Latitude: 67.0 # Easternmost_Longitude: 27.12 # Westernmost_Longitude: 27.12 # Elevation: 270 m #-------------------- # Data_Collection # Collection_Name: europe_finl011B # Earliest_Year: 1728 # 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":"4.48417022862","T2":"19.2744451707","M1":"0.0222094979116","M2":"0.28220140135"}} #-------------------- # 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 1728 1.057 1729 1.18 1730 1.133 1731 0.818 1732 1.087 1733 0.91 1734 0.727 1735 0.957 1736 1.295 1737 0.788 1738 1.138 1739 1.04 1740 0.798 1741 0.624 1742 0.83 1743 0.906 1744 1.085 1745 1.003 1746 1.12 1747 0.856 1748 1.104 1749 1.127 1750 1.293 1751 1.08 1752 1.382 1753 1.2 1754 1.372 1755 1.415 1756 1.32 1757 1.343 1758 1.144 1759 1.205 1760 1.33 1761 1.097 1762 1.076 1763 0.769 1764 0.826 1765 0.836 1766 1.02 1767 0.818 1768 0.886 1769 0.795 1770 0.885 1771 0.702 1772 0.933 1773 1.108 1774 1.198 1775 1.049 1776 0.931 1777 0.977 1778 1.144 1779 1.17 1780 0.88 1781 0.666 1782 0.739 1783 0.748 1784 0.845 1785 1.069 1786 0.812 1787 0.85 1788 1.026 1789 1.199 1790 0.778 1791 1.217 1792 1.055 1793 0.9 1794 0.872 1795 1.093 1796 1.26 1797 1.052 1798 1.184 1799 1.152 1800 0.924 1801 1.11 1802 1.039 1803 1.074 1804 1.359 1805 1.147 1806 0.71 1807 1.156 1808 0.913 1809 0.838 1810 0.834 1811 0.852 1812 0.849 1813 0.726 1814 0.801 1815 0.61 1816 0.891 1817 0.941 1818 1.154 1819 1.082 1820 0.699 1821 0.66 1822 0.789 1823 1.014 1824 1.03 1825 1.083 1826 1.342 1827 1.169 1828 1.005 1829 1.164 1830 0.927 1831 1.11 1832 0.944 1833 1.019 1834 1.214 1835 1.017 1836 1.185 1837 0.504 1838 0.944 1839 0.781 1840 0.953 1841 0.797 1842 0.765 1843 1.008 1844 0.824 1845 1.029 1846 0.725 1847 0.79 1848 0.742 1849 1.037 1850 0.93 1851 1.037 1852 1.384 1853 1.055 1854 1.111 1855 1.06 1856 0.896 1857 0.819 1858 0.972 1859 0.803 1860 0.703 1861 0.992 1862 0.803 1863 0.833 1864 0.907 1865 1.23 1866 1.05 1867 0.974 1868 1.145 1869 1.01 1870 1.131 1871 0.916 1872 0.895 1873 0.902 1874 0.65 1875 0.812 1876 1.07 1877 1.104 1878 1.068 1879 0.9 1880 0.541 1881 0.647 1882 1.01 1883 0.895 1884 0.886 1885 0.997 1886 1.187 1887 1.008 1888 0.723 1889 1.068 1890 1.291 1891 0.932 1892 0.804 1893 0.728 1894 0.83 1895 0.815 1896 1.26 1897 0.939 1898 1.308 1899 1.066 1900 0.823 1901 1.11 1902 0.886 1903 0.476 1904 0.657 1905 0.797 1906 0.926 1907 0.713 1908 0.967 1909 0.886 1910 0.553 1911 0.57 1912 0.927 1913 0.766 1914 0.863 1915 0.883 1916 0.877 1917 0.774 1918 0.773 1919 0.839 1920 0.88 1921 1.078 1922 1.343 1923 1.339 1924 1.194 1925 1.238 1926 0.944 1927 1.065 1928 0.711 1929 0.743 1930 1.129 1931 0.972 1932 0.92 1933 0.725 1934 1.151 1935 0.889 1936 0.934 1937 1.179 1938 1.016 1939 0.881 1940 0.737 1941 1.115 1942 0.942 1943 0.92 1944 1.01 1945 0.928 1946 0.778 1947 1.156 1948 1.079 1949 1.107 1950 1.224 1951 1.08 1952 1.266 1953 1.745 1954 1.547 1955 1.426 1956 1.094 1957 1.395 1958 1.029 1959 1.409 1960 1.428 1961 0.986 1962 0.978 1963 0.806 1964 1.413 1965 0.922 1966 1.185 1967 1.216 1968 1.185 1969 0.914 1970 1.077 1971 0.912 1972 1.203 1973 1.4 1974 1.028 1975 1.045 1976 1.136 1977 0.993 1978 0.921