# europe_finl003 - Ilomantsi Kintturinne - 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/3199 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_finl003 - Ilomantsi Kintturinne - 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 Kintturinne # Location: # Country: Finland # Northernmost_Latitude: 62.98 # Southernmost_Latitude: 62.98 # Easternmost_Longitude: 31.3 # Westernmost_Longitude: 31.3 # Elevation: 207 m #-------------------- # Data_Collection # Collection_Name: europe_finl003B # Earliest_Year: 1833 # 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":"5.09228946589","T2":"17.4696103002","M1":"0.0226863454415","M2":"0.261501306099"}} #-------------------- # 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 1833 0.858 1834 1.053 1835 0.838 1836 0.728 1837 0.812 1838 1.02 1839 1.118 1840 0.863 1841 0.848 1842 1.057 1843 0.901 1844 0.993 1845 0.9 1846 1.013 1847 0.982 1848 1.116 1849 1.068 1850 1.093 1851 1.21 1852 0.991 1853 0.971 1854 1.168 1855 1.118 1856 1.102 1857 1.017 1858 1.025 1859 0.892 1860 1.192 1861 1.193 1862 0.928 1863 1.024 1864 1.066 1865 1.142 1866 0.988 1867 0.693 1868 0.933 1869 0.915 1870 1.092 1871 0.958 1872 0.837 1873 0.881 1874 0.868 1875 0.914 1876 0.82 1877 1.031 1878 0.941 1879 0.854 1880 0.904 1881 0.827 1882 1.15 1883 0.985 1884 1.016 1885 1.182 1886 1.01 1887 1.152 1888 1.061 1889 1.023 1890 1.142 1891 1.157 1892 1.03 1893 1.008 1894 0.914 1895 0.869 1896 1.057 1897 0.843 1898 0.801 1899 0.677 1900 0.812 1901 0.717 1902 0.691 1903 0.709 1904 0.779 1905 0.729 1906 0.847 1907 0.993 1908 1.068 1909 0.895 1910 0.782 1911 0.84 1912 1.046 1913 1.0 1914 1.265 1915 1.498 1916 1.204 1917 1.127 1918 0.957 1919 0.998 1920 1.057 1921 1.177 1922 1.338 1923 1.48 1924 1.374 1925 0.943 1926 0.622 1927 1.012 1928 0.75 1929 0.937 1930 0.986 1931 0.673 1932 0.921 1933 0.873 1934 1.14 1935 0.818 1936 0.799 1937 0.86 1938 0.856 1939 0.89 1940 0.978 1941 0.989 1942 0.836 1943 0.909 1944 0.866 1945 1.199 1946 1.195 1947 1.43 1948 1.348 1949 1.04 1950 1.015 1951 1.129 1952 1.028 1953 1.137 1954 1.285 1955 0.987 1956 1.048 1957 1.081 1958 0.835 1959 0.995 1960 0.886 1961 0.76 1962 0.857 1963 0.697 1964 0.891 1965 0.65 1966 0.833 1967 1.159 1968 1.011 1969 0.904 1970 0.896 1971 0.8 1972 1.032 1973 1.244 1974 1.184 1975 1.143 1976 0.906 1977 1.12 1978 1.067 1979 1.341 1980 0.966 1981 1.015 1982 1.144 1983 1.173 1984 1.135