# europe_finl002 - Ilomantsi Tasanenkangas - 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/3202 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_finl002 - Ilomantsi Tasanenkangas - 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: Ilomantsi Tasanenkangas # Location: # Country: Finland # Northernmost_Latitude: 63.02 # Southernmost_Latitude: 63.02 # Easternmost_Longitude: 31.43 # Westernmost_Longitude: 31.43 # Elevation: 190 m #-------------------- # Data_Collection # Collection_Name: europe_finl002B # Earliest_Year: 1783 # Most_Recent_Year: 1984 # 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":"4.97534891582","T2":"17.779561107","M1":"0.0225126513319","M2":"0.335078518945"}} #-------------------- # 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 1783 1.078 1784 1.011 1785 0.922 1786 0.831 1787 0.873 1788 0.98 1789 1.068 1790 0.815 1791 0.963 1792 1.082 1793 1.172 1794 1.081 1795 0.945 1796 1.078 1797 1.068 1798 1.041 1799 0.917 1800 0.914 1801 0.983 1802 1.006 1803 0.973 1804 0.99 1805 0.947 1806 0.765 1807 0.875 1808 1.009 1809 1.134 1810 0.994 1811 1.136 1812 1.049 1813 1.031 1814 1.093 1815 1.087 1816 0.992 1817 1.1 1818 1.118 1819 1.164 1820 0.919 1821 0.919 1822 1.064 1823 1.047 1824 0.961 1825 1.069 1826 1.07 1827 0.93 1828 0.844 1829 0.888 1830 0.932 1831 0.991 1832 0.902 1833 0.988 1834 1.016 1835 0.682 1836 0.578 1837 0.513 1838 0.719 1839 0.781 1840 0.787 1841 0.94 1842 1.167 1843 0.95 1844 0.845 1845 1.022 1846 1.17 1847 0.996 1848 1.112 1849 1.414 1850 1.509 1851 1.413 1852 1.035 1853 0.928 1854 1.033 1855 1.067 1856 1.19 1857 0.922 1858 1.075 1859 0.925 1860 1.1 1861 1.141 1862 0.899 1863 1.151 1864 1.295 1865 1.293 1866 1.164 1867 0.77 1868 1.064 1869 1.047 1870 1.155 1871 1.097 1872 0.861 1873 0.99 1874 0.862 1875 0.968 1876 0.852 1877 1.039 1878 0.919 1879 0.905 1880 1.053 1881 0.778 1882 1.259 1883 1.04 1884 1.203 1885 1.476 1886 1.193 1887 1.277 1888 1.201 1889 1.194 1890 1.243 1891 1.164 1892 1.128 1893 1.117 1894 1.075 1895 1.01 1896 1.175 1897 0.797 1898 0.72 1899 0.663 1900 0.778 1901 0.797 1902 0.679 1903 0.738 1904 0.802 1905 0.694 1906 0.684 1907 0.859 1908 1.027 1909 0.98 1910 0.756 1911 0.876 1912 1.125 1913 0.971 1914 1.245 1915 1.568 1916 1.443 1917 1.333 1918 0.961 1919 0.967 1920 0.875 1921 1.053 1922 1.304 1923 1.363 1924 1.424 1925 1.128 1926 0.656 1927 0.871 1928 0.612 1929 0.838 1930 0.797 1931 0.453 1932 0.578 1933 0.526 1934 0.672 1935 0.514 1936 0.601 1937 0.656 1938 0.758 1939 0.885 1940 1.034 1941 0.853 1942 0.619 1943 0.87 1944 0.921 1945 1.053 1946 1.064 1947 1.212 1948 1.075 1949 0.874 1950 0.882 1951 0.933 1952 0.908 1953 1.064 1954 1.278 1955 0.951 1956 0.869 1957 1.122 1958 0.852 1959 0.955 1960 1.034 1961 0.899 1962 0.856 1963 0.823 1964 0.955 1965 0.83 1966 1.01 1967 1.305 1968 0.976 1969 0.85 1970 0.933 1971 0.814 1972 0.894 1973 0.97 1974 0.917 1975 0.955 1976 0.935 1977 0.929 1978 0.887 1979 1.042 1980 0.788 1981 0.882 1982 1.008 1983 1.112 1984 0.915