# europe_finl056 - Ylisjarvi - 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/3976 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_finl056 - Ylisjarvi - 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: Ylisjarvi # Location: # Country: Finland # Northernmost_Latitude: 61.93 # Southernmost_Latitude: 61.93 # Easternmost_Longitude: 25.72 # Westernmost_Longitude: 25.72 # Elevation: 140 m #-------------------- # Data_Collection # Collection_Name: europe_finl056B # Earliest_Year: 1803 # Most_Recent_Year: 2000 # 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":"3.72737447248","T2":"14.7283397901","M1":"0.0229252723324","M2":"0.517814871964"}} #-------------------- # 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 1803 0.776 1804 0.708 1805 1.177 1806 1.188 1807 0.998 1808 0.733 1809 1.05 1810 0.838 1811 1.103 1812 1.157 1813 1.393 1814 1.011 1815 1.16 1816 0.974 1817 0.979 1818 0.861 1819 1.102 1820 0.859 1821 1.223 1822 0.795 1823 0.297 1824 0.57 1825 0.89 1826 0.818 1827 0.577 1828 1.193 1829 1.12 1830 1.243 1831 0.995 1832 0.844 1833 0.782 1834 0.812 1835 0.434 1836 0.454 1837 0.559 1838 0.662 1839 0.535 1840 0.74 1841 0.854 1842 0.7 1843 0.864 1844 0.777 1845 0.754 1846 0.829 1847 0.566 1848 1.076 1849 0.907 1850 0.846 1851 0.864 1852 0.768 1853 0.412 1854 0.507 1855 0.479 1856 0.684 1857 0.833 1858 0.521 1859 0.414 1860 0.308 1861 0.383 1862 0.475 1863 0.574 1864 0.507 1865 0.954 1866 1.086 1867 0.804 1868 1.33 1869 0.876 1870 1.182 1871 1.005 1872 0.941 1873 0.931 1874 0.77 1875 0.943 1876 0.678 1877 0.814 1878 0.768 1879 0.438 1880 0.469 1881 0.386 1882 0.414 1883 0.493 1884 0.559 1885 0.625 1886 0.919 1887 1.089 1888 1.174 1889 1.036 1890 1.483 1891 1.317 1892 1.418 1893 1.207 1894 1.211 1895 0.941 1896 0.979 1897 1.02 1898 1.112 1899 0.808 1900 0.653 1901 0.621 1902 0.612 1903 0.891 1904 0.881 1905 1.103 1906 1.028 1907 0.878 1908 1.029 1909 0.904 1910 0.938 1911 0.906 1912 1.185 1913 1.259 1914 1.254 1915 1.543 1916 1.252 1917 1.0 1918 0.904 1919 1.206 1920 1.312 1921 1.466 1922 1.43 1923 1.294 1924 1.35 1925 1.158 1926 0.87 1927 1.067 1928 0.883 1929 0.968 1930 0.93 1931 1.02 1932 1.159 1933 0.952 1934 1.083 1935 1.033 1936 1.064 1937 0.916 1938 1.201 1939 0.969 1940 0.508 1941 0.72 1942 0.675 1943 0.571 1944 0.541 1945 0.825 1946 0.864 1947 1.016 1948 0.856 1949 1.177 1950 1.117 1951 0.797 1952 1.01 1953 1.147 1954 1.248 1955 0.907 1956 0.49 1957 0.916 1958 0.876 1959 0.982 1960 0.619 1961 0.803 1962 1.046 1963 0.986 1964 0.954 1965 0.969 1966 0.948 1967 1.06 1968 0.933 1969 0.786 1970 0.935 1971 0.958 1972 0.974 1973 1.094 1974 1.126 1975 1.258 1976 1.135 1977 0.773 1978 0.814 1979 0.87 1980 0.789 1981 0.641 1982 0.355 1983 0.513 1984 0.589 1985 0.614 1986 0.976 1987 1.212 1988 1.241 1989 1.711 1990 2.07 1991 1.853 1992 1.353 1993 1.236 1994 1.416 1995 1.159 1996 0.877 1997 0.99 1998 0.7 1999 0.712 2000 1.139