# europe_swed320 - Stockholm - 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/6139 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_swed320 - Stockholm - 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: Stockholm # Location: # Country: Sweden # Northernmost_Latitude: 59.15 # Southernmost_Latitude: 59.15 # Easternmost_Longitude: 18.0 # Westernmost_Longitude: 18.0 # Elevation: 75 m #-------------------- # Data_Collection # Collection_Name: europe_swed320B # Earliest_Year: 1834 # Most_Recent_Year: 1996 # 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":"3.50197996158","T2":"14.5870075735","M1":"0.0235253620925","M2":"0.536668222179"}} #-------------------- # 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 1834 0.802 1835 0.473 1836 0.625 1837 0.748 1838 0.578 1839 0.829 1840 1.383 1841 1.121 1842 1.346 1843 1.139 1844 1.447 1845 0.867 1846 0.976 1847 1.233 1848 1.465 1849 1.213 1850 1.034 1851 1.285 1852 0.881 1853 0.636 1854 0.791 1855 0.653 1856 0.711 1857 0.908 1858 1.1 1859 0.803 1860 0.85 1861 0.65 1862 1.094 1863 0.99 1864 1.113 1865 1.12 1866 1.248 1867 1.303 1868 1.06 1869 0.891 1870 0.898 1871 0.902 1872 0.803 1873 0.693 1874 0.961 1875 1.124 1876 0.842 1877 0.826 1878 0.915 1879 0.795 1880 1.116 1881 0.764 1882 1.248 1883 0.489 1884 1.129 1885 0.769 1886 1.15 1887 0.977 1888 0.91 1889 0.847 1890 1.13 1891 1.027 1892 1.567 1893 1.094 1894 1.679 1895 0.696 1896 0.898 1897 0.978 1898 1.223 1899 0.787 1900 0.855 1901 0.541 1902 0.496 1903 0.635 1904 0.561 1905 0.342 1906 0.42 1907 0.738 1908 0.728 1909 1.041 1910 1.254 1911 0.798 1912 1.044 1913 0.562 1914 0.577 1915 0.767 1916 0.719 1917 0.412 1918 0.598 1919 0.5 1920 0.881 1921 0.962 1922 1.205 1923 1.455 1924 1.331 1925 1.438 1926 1.086 1927 1.492 1928 1.319 1929 1.722 1930 1.747 1931 1.397 1932 1.781 1933 1.278 1934 1.342 1935 1.091 1936 1.043 1937 0.962 1938 1.367 1939 0.98 1940 0.34 1941 0.691 1942 0.914 1943 0.592 1944 0.794 1945 1.276 1946 1.35 1947 1.226 1948 1.207 1949 0.933 1950 0.673 1951 1.165 1952 1.092 1953 1.652 1954 1.428 1955 0.936 1956 0.824 1957 1.193 1958 1.109 1959 0.692 1960 0.937 1961 1.011 1962 1.129 1963 1.394 1964 1.343 1965 1.097 1966 0.808 1967 1.22 1968 0.857 1969 0.44 1970 0.547 1971 0.478 1972 0.758 1973 0.831 1974 0.914 1975 0.73 1976 1.055 1977 1.157 1978 1.055 1979 1.264 1980 1.357 1981 1.407 1982 0.76 1983 1.443 1984 1.205 1985 0.844 1986 0.975 1987 1.137 1988 1.092 1989 0.905 1990 0.79 1991 1.14 1992 0.652 1993 0.747 1994 0.843 1995 1.075 1996 0.88