# europe_finl046 - Oulanka National Park Kuusamo - 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/4005 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_finl046 - Oulanka National Park Kuusamo - 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: Oulanka National Park Kuusamo # Location: # Country: Finland # Northernmost_Latitude: 66.37 # Southernmost_Latitude: 66.37 # Easternmost_Longitude: 29.3 # Westernmost_Longitude: 29.3 # Elevation: nan m #-------------------- # Data_Collection # Collection_Name: europe_finl046B # Earliest_Year: 1793 # Most_Recent_Year: 2001 # 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":"2.73017292755","T2":"12.1823597405","M1":"0.0236659306369","M2":"0.595978991782"}} #-------------------- # 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 1793 1.01 1794 0.873 1795 0.785 1796 0.909 1797 0.876 1798 0.845 1799 0.781 1800 0.602 1801 0.618 1802 0.51 1803 0.619 1804 0.679 1805 0.673 1806 0.466 1807 0.771 1808 0.822 1809 0.843 1810 0.698 1811 0.773 1812 0.728 1813 0.653 1814 0.805 1815 0.995 1816 0.985 1817 1.086 1818 1.231 1819 1.167 1820 0.909 1821 0.971 1822 1.07 1823 1.197 1824 1.137 1825 1.2 1826 1.448 1827 1.227 1828 1.002 1829 1.085 1830 0.8 1831 0.816 1832 0.777 1833 0.798 1834 0.743 1835 0.551 1836 0.543 1837 0.42 1838 0.57 1839 0.501 1840 0.512 1841 0.551 1842 0.619 1843 0.564 1844 0.467 1845 0.596 1846 0.735 1847 0.656 1848 0.809 1849 0.956 1850 0.971 1851 0.946 1852 0.931 1853 0.905 1854 1.009 1855 0.942 1856 0.798 1857 0.718 1858 0.896 1859 0.703 1860 0.955 1861 1.009 1862 0.809 1863 0.937 1864 1.075 1865 0.951 1866 0.854 1867 0.723 1868 0.906 1869 0.811 1870 0.836 1871 0.72 1872 0.668 1873 0.72 1874 0.724 1875 0.937 1876 0.852 1877 0.808 1878 0.598 1879 0.607 1880 0.588 1881 0.622 1882 0.856 1883 0.844 1884 0.745 1885 1.138 1886 1.512 1887 1.722 1888 1.27 1889 1.517 1890 1.774 1891 1.376 1892 1.169 1893 1.182 1894 1.377 1895 1.275 1896 1.45 1897 1.473 1898 1.779 1899 1.444 1900 1.279 1901 1.497 1902 1.133 1903 0.961 1904 1.084 1905 1.102 1906 1.199 1907 1.261 1908 1.264 1909 1.039 1910 1.006 1911 1.093 1912 1.289 1913 1.266 1914 1.282 1915 1.512 1916 1.315 1917 1.253 1918 1.276 1919 1.23 1920 1.727 1921 2.128 1922 2.152 1923 1.998 1924 1.933 1925 1.883 1926 1.315 1927 1.476 1928 1.428 1929 1.292 1930 1.695 1931 1.508 1932 1.605 1933 1.398 1934 1.833 1935 1.469 1936 1.282 1937 1.616 1938 1.261 1939 1.254 1940 1.117 1941 1.26 1942 1.051 1943 1.084 1944 0.91 1945 0.897 1946 0.634 1947 0.953 1948 0.897 1949 0.814 1950 0.701 1951 0.7 1952 0.805 1953 0.947 1954 1.038 1955 0.919 1956 0.929 1957 1.112 1958 0.778 1959 0.893 1960 0.976 1961 0.581 1962 0.493 1963 0.453 1964 0.611 1965 0.459 1966 0.47 1967 0.738 1968 0.729 1969 0.52 1970 0.698 1971 0.486 1972 0.615 1973 0.661 1974 0.625 1975 0.646 1976 0.861 1977 0.756 1978 0.734 1979 1.08 1980 0.94 1981 0.772 1982 0.652 1983 0.888 1984 0.888 1985 0.955 1986 0.857 1987 0.672 1988 0.67 1989 0.591 1990 0.596 1991 0.618 1992 0.582 1993 0.582 1994 0.571 1995 0.485 1996 0.55 1997 0.554 1998 0.603 1999 0.717 2000 0.762 2001 0.727