# europe_finl019 - 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/4491 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_finl019 - 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_finl019B # Earliest_Year: 1731 # 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":"7.4112702764","T2":"20.193843203","M1":"0.0219246415631","M2":"0.229682575239"}} #-------------------- # Species # Species_Name: Norway spruce # Species_Code: PCAB #-------------------- # 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 1731 0.836 1732 1.02 1733 0.867 1734 0.763 1735 1.051 1736 1.138 1737 0.936 1738 1.243 1739 1.163 1740 1.142 1741 0.789 1742 0.825 1743 0.847 1744 0.998 1745 0.962 1746 1.013 1747 0.66 1748 0.477 1749 0.539 1750 0.607 1751 0.747 1752 0.888 1753 0.966 1754 1.285 1755 1.493 1756 1.119 1757 1.044 1758 0.853 1759 1.071 1760 0.984 1761 1.002 1762 0.949 1763 0.981 1764 0.999 1765 1.228 1766 1.174 1767 1.047 1768 0.678 1769 0.683 1770 0.768 1771 0.894 1772 0.889 1773 0.998 1774 0.833 1775 0.736 1776 0.669 1777 0.893 1778 0.971 1779 0.939 1780 1.0 1781 1.038 1782 1.001 1783 1.063 1784 0.895 1785 1.202 1786 0.971 1787 1.1 1788 1.312 1789 0.74 1790 0.26 1791 0.392 1792 0.408 1793 0.46 1794 0.428 1795 0.621 1796 0.798 1797 0.926 1798 1.331 1799 1.207 1800 1.401 1801 1.628 1802 1.493 1803 1.224 1804 1.547 1805 1.277 1806 0.751 1807 1.197 1808 1.025 1809 1.05 1810 0.794 1811 0.85 1812 0.8 1813 0.835 1814 0.9 1815 1.036 1816 1.122 1817 0.529 1818 0.74 1819 0.842 1820 0.686 1821 0.366 1822 0.836 1823 1.143 1824 1.3 1825 1.403 1826 2.004 1827 1.8 1828 1.674 1829 1.847 1830 1.483 1831 1.729 1832 1.191 1833 1.341 1834 1.132 1835 1.132 1836 0.949 1837 0.941 1838 1.188 1839 0.952 1840 0.663 1841 0.737 1842 0.71 1843 0.955 1844 0.848 1845 1.118 1846 1.079 1847 1.176 1848 1.029 1849 1.398 1850 1.205 1851 1.43 1852 1.484 1853 1.349 1854 1.048 1855 0.823 1856 0.755 1857 0.641 1858 0.745 1859 0.701 1860 0.921 1861 0.923 1862 0.858 1863 1.07 1864 0.997 1865 0.927 1866 0.937 1867 0.777 1868 0.9 1869 0.589 1870 0.742 1871 0.752 1872 1.12 1873 1.237 1874 0.767 1875 1.026 1876 1.182 1877 0.973 1878 1.208 1879 0.962 1880 0.878 1881 1.092 1882 1.001 1883 1.492 1884 1.428 1885 1.352 1886 1.408 1887 0.967 1888 1.063 1889 1.484 1890 1.169 1891 1.023 1892 0.957 1893 1.11 1894 0.802 1895 0.847 1896 0.99 1897 0.829 1898 0.901 1899 1.177 1900 1.031 1901 1.125 1902 0.553 1903 0.762 1904 0.637 1905 0.803 1906 0.638 1907 0.797 1908 0.662 1909 0.741 1910 0.539 1911 0.825 1912 0.849 1913 0.841 1914 1.149 1915 1.11 1916 1.271 1917 1.02 1918 0.657 1919 1.002 1920 0.645 1921 0.928 1922 1.103 1923 0.931 1924 1.14 1925 1.107 1926 1.022 1927 1.267 1928 0.484 1929 0.961 1930 0.912 1931 0.486 1932 0.864 1933 0.784 1934 0.691 1935 0.651 1936 0.958 1937 0.835 1938 0.892 1939 0.887 1940 0.995 1941 1.157 1942 1.037 1943 0.737 1944 0.7 1945 0.946 1946 0.913 1947 1.168 1948 0.662 1949 0.631 1950 0.914 1951 0.58 1952 0.904 1953 1.094 1954 0.939 1955 0.803 1956 0.755 1957 0.558 1958 0.634 1959 0.537 1960 0.662 1961 0.692 1962 0.659 1963 0.84 1964 0.829 1965 1.059 1966 1.295 1967 1.206 1968 1.164 1969 1.359 1970 1.401 1971 1.171 1972 1.327 1973 1.319 1974 1.161 1975 0.63 1976 1.229 1977 1.08 1978 1.275