# europe_finl040 - Kaupinsaari 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/3992 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_finl040 - Kaupinsaari 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: Kaupinsaari Savonlinna # Location: # Country: Finland # Northernmost_Latitude: 61.85 # Southernmost_Latitude: 61.85 # Easternmost_Longitude: 28.9 # Westernmost_Longitude: 28.9 # Elevation: nan m #-------------------- # Data_Collection # Collection_Name: europe_finl040B # Earliest_Year: 1824 # 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":"3.48372393034","T2":"16.1837586005","M1":"0.0231172120228","M2":"0.512508977324"}} #-------------------- # 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 1824 0.742 1825 1.012 1826 0.717 1827 0.667 1828 0.672 1829 0.624 1830 0.688 1831 0.702 1832 0.692 1833 0.779 1834 1.008 1835 1.024 1836 1.105 1837 1.112 1838 1.314 1839 1.452 1840 1.885 1841 1.573 1842 1.247 1843 1.08 1844 1.314 1845 0.843 1846 1.206 1847 1.081 1848 1.328 1849 1.455 1850 1.352 1851 1.657 1852 1.195 1853 0.843 1854 1.371 1855 0.821 1856 1.261 1857 1.186 1858 0.804 1859 0.637 1860 0.912 1861 0.939 1862 1.142 1863 1.133 1864 0.881 1865 1.116 1866 1.093 1867 0.769 1868 0.809 1869 0.673 1870 0.748 1871 0.773 1872 0.668 1873 0.856 1874 0.919 1875 0.555 1876 0.871 1877 0.855 1878 0.887 1879 0.964 1880 1.109 1881 0.882 1882 1.107 1883 0.709 1884 0.863 1885 0.992 1886 0.99 1887 0.926 1888 0.926 1889 0.68 1890 1.413 1891 1.175 1892 1.282 1893 1.048 1894 1.192 1895 1.13 1896 1.043 1897 0.878 1898 0.997 1899 0.899 1900 0.87 1901 0.927 1902 0.993 1903 1.187 1904 1.035 1905 0.946 1906 0.668 1907 0.98 1908 0.901 1909 0.728 1910 0.517 1911 0.659 1912 0.707 1913 0.762 1914 0.99 1915 1.06 1916 0.872 1917 0.643 1918 0.688 1919 0.541 1920 0.731 1921 0.876 1922 1.315 1923 1.303 1924 1.297 1925 0.883 1926 0.749 1927 1.072 1928 0.906 1929 0.855 1930 0.789 1931 0.694 1932 0.981 1933 0.707 1934 1.15 1935 1.011 1936 0.866 1937 1.191 1938 1.306 1939 0.773 1940 0.732 1941 0.847 1942 0.641 1943 0.992 1944 0.86 1945 1.106 1946 1.134 1947 1.07 1948 1.068 1949 1.304 1950 1.569 1951 1.262 1952 1.559 1953 1.498 1954 1.733 1955 0.946 1956 0.788 1957 1.354 1958 1.212 1959 0.832 1960 1.007 1961 0.767 1962 0.706 1963 0.557 1964 0.683 1965 0.91 1966 0.797 1967 1.096 1968 0.921 1969 0.807 1970 0.739 1971 0.665 1972 0.764 1973 0.748 1974 0.89 1975 0.818 1976 1.108 1977 1.111 1978 1.121 1979 1.41 1980 1.184 1981 1.125 1982 0.997 1983 1.181 1984 0.993 1985 0.912 1986 1.052 1987 1.292 1988 1.295 1989 1.148 1990 1.454 1991 1.192 1992 0.644 1993 0.917