# europe_finl2 - Väistönselkä, Sauvasaaret Savonlinna - 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/4015 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_finl2 - Väistönselkä, Sauvasaaret Savonlinna - 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: Väistönselkä, Sauvasaaret Savonlinna # Location: # Country: Finland # Northernmost_Latitude: 61.67 # Southernmost_Latitude: 61.67 # Easternmost_Longitude: 29.17 # Westernmost_Longitude: 29.17 # Elevation: 90 m #-------------------- # Data_Collection # Collection_Name: europe_finl2B # Earliest_Year: 1826 # Most_Recent_Year: 1993 # 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":"3.25152097698","T2":"14.9470522969","M1":"0.0231311470199","M2":"0.547412287368"}} #-------------------- # 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 1826 0.828 1827 0.642 1828 0.827 1829 0.803 1830 0.879 1831 0.721 1832 0.329 1833 0.366 1834 0.543 1835 0.432 1836 0.395 1837 0.504 1838 0.621 1839 0.535 1840 0.852 1841 0.735 1842 0.556 1843 0.584 1844 0.791 1845 0.434 1846 0.705 1847 0.725 1848 1.002 1849 1.142 1850 0.975 1851 1.179 1852 0.87 1853 0.719 1854 1.125 1855 0.878 1856 1.13 1857 1.301 1858 0.883 1859 0.879 1860 1.141 1861 1.26 1862 1.537 1863 1.337 1864 1.157 1865 1.554 1866 1.382 1867 1.095 1868 1.079 1869 1.149 1870 1.304 1871 1.192 1872 0.953 1873 1.301 1874 1.021 1875 0.607 1876 0.734 1877 0.696 1878 0.786 1879 1.042 1880 1.132 1881 0.998 1882 1.01 1883 0.913 1884 1.024 1885 0.947 1886 1.249 1887 1.078 1888 0.957 1889 0.574 1890 1.163 1891 1.157 1892 1.414 1893 1.214 1894 1.333 1895 1.062 1896 0.877 1897 0.869 1898 0.666 1899 0.719 1900 0.636 1901 0.948 1902 1.054 1903 1.363 1904 1.406 1905 1.415 1906 1.216 1907 1.226 1908 0.875 1909 0.839 1910 0.651 1911 0.733 1912 0.852 1913 0.847 1914 0.91 1915 1.204 1916 0.81 1917 0.657 1918 0.731 1919 0.59 1920 0.814 1921 1.076 1922 1.321 1923 1.333 1924 1.631 1925 1.427 1926 0.892 1927 1.061 1928 0.72 1929 0.677 1930 0.639 1931 0.481 1932 0.698 1933 0.605 1934 1.008 1935 1.012 1936 0.865 1937 1.057 1938 1.086 1939 0.646 1940 0.543 1941 0.646 1942 0.525 1943 0.882 1944 1.194 1945 1.273 1946 1.408 1947 1.104 1948 1.067 1949 1.172 1950 1.3 1951 1.045 1952 1.171 1953 1.249 1954 1.257 1955 0.864 1956 0.824 1957 1.411 1958 1.43 1959 0.757 1960 0.74 1961 0.618 1962 0.6 1963 0.584 1964 0.586 1965 0.646 1966 0.687 1967 0.89 1968 0.749 1969 0.594 1970 0.677 1971 0.975 1972 1.001 1973 0.753 1974 0.926 1975 0.944 1976 1.163 1977 0.966 1978 1.082 1979 1.26 1980 1.024 1981 1.23 1982 1.491 1983 1.332 1984 0.797 1985 1.292 1986 1.114 1987 1.308 1988 1.304 1989 0.974 1990 1.129 1991 1.024 1992 0.544 1993 1.0