# europe_finl017 - Iso Syete - 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/4441 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_finl017 - Iso Syete - 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: Iso Syete # Location: # Country: Finland # Northernmost_Latitude: 65.62 # Southernmost_Latitude: 65.62 # Easternmost_Longitude: 27.6 # Westernmost_Longitude: 27.6 # Elevation: 300 m #-------------------- # Data_Collection # Collection_Name: europe_finl017B # Earliest_Year: 1805 # 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":"6.91521996023","T2":"19.2169723636","M1":"0.022778899073","M2":"0.294078474795"}} #-------------------- # 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 1805 0.898 1806 0.522 1807 0.878 1808 1.01 1809 1.227 1810 0.888 1811 0.828 1812 0.835 1813 0.842 1814 0.834 1815 0.795 1816 0.939 1817 0.828 1818 0.792 1819 0.878 1820 0.664 1821 0.469 1822 0.551 1823 0.793 1824 0.792 1825 0.982 1826 1.091 1827 1.149 1828 1.33 1829 1.377 1830 1.269 1831 1.155 1832 0.785 1833 0.896 1834 0.661 1835 0.787 1836 0.697 1837 0.682 1838 0.951 1839 1.096 1840 1.153 1841 1.269 1842 1.058 1843 1.037 1844 1.039 1845 1.143 1846 1.111 1847 0.918 1848 0.942 1849 1.133 1850 1.159 1851 1.185 1852 1.05 1853 1.105 1854 0.984 1855 0.98 1856 0.8 1857 0.669 1858 0.707 1859 0.554 1860 0.807 1861 0.984 1862 1.051 1863 1.202 1864 1.21 1865 1.143 1866 1.176 1867 1.13 1868 1.377 1869 0.928 1870 0.937 1871 1.107 1872 1.575 1873 1.529 1874 1.095 1875 1.247 1876 1.154 1877 1.323 1878 1.311 1879 1.249 1880 0.905 1881 1.036 1882 0.912 1883 1.289 1884 1.251 1885 1.319 1886 1.11 1887 1.003 1888 1.224 1889 1.479 1890 1.17 1891 0.836 1892 0.953 1893 1.096 1894 0.771 1895 0.999 1896 0.951 1897 0.724 1898 0.912 1899 1.043 1900 1.136 1901 1.249 1902 0.596 1903 0.727 1904 0.608 1905 0.754 1906 0.575 1907 0.588 1908 0.636 1909 0.79 1910 0.915 1911 1.262 1912 1.401 1913 1.235 1914 1.384 1915 1.284 1916 1.133 1917 1.107 1918 0.742 1919 1.134 1920 0.842 1921 1.16 1922 1.415 1923 1.193 1924 1.192 1925 1.101 1926 1.097 1927 1.062 1928 0.64 1929 0.987 1930 0.844 1931 0.572 1932 0.94 1933 1.03 1934 1.054 1935 0.976 1936 1.297 1937 1.072 1938 1.206 1939 1.127 1940 1.257 1941 1.144 1942 0.988 1943 0.797 1944 0.693 1945 0.764 1946 0.9 1947 1.016 1948 0.73 1949 0.593 1950 0.778 1951 0.685 1952 0.773 1953 0.978 1954 0.933 1955 0.692 1956 0.747 1957 0.558 1958 0.747 1959 0.637 1960 0.857 1961 0.745 1962 0.671 1963 0.81 1964 0.881 1965 0.916 1966 1.243 1967 1.119 1968 1.208 1969 1.291 1970 1.273 1971 0.9 1972 1.101 1973 0.953 1974 1.034 1975 0.631 1976 0.976 1977 1.078 1978 1.186