# europe_swed311 - Namdo - 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/3870 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_swed311 - Namdo - 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: Namdo # Location: # Country: Sweden # Northernmost_Latitude: 59.2 # Southernmost_Latitude: 59.2 # Easternmost_Longitude: 18.7 # Westernmost_Longitude: 18.7 # Elevation: 35 m #-------------------- # Data_Collection # Collection_Name: europe_swed311B # Earliest_Year: 1815 # Most_Recent_Year: 2004 # 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":"5.06029675943","T2":"14.6227257355","M1":"0.022483018756","M2":"0.553586324609"}} #-------------------- # Species # Species_Name: Norway spruce # Species_Code: PCAB #-------------------- # 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 1815 0.737 1816 0.743 1817 0.858 1818 0.592 1819 0.731 1820 0.561 1821 0.657 1822 0.647 1823 0.885 1824 0.824 1825 1.221 1826 0.899 1827 0.92 1828 0.893 1829 0.706 1830 1.001 1831 0.953 1832 0.945 1833 0.953 1834 1.194 1835 0.937 1836 0.926 1837 0.847 1838 0.545 1839 0.69 1840 0.842 1841 1.06 1842 1.051 1843 0.835 1844 0.962 1845 0.888 1846 0.838 1847 0.855 1848 0.706 1849 0.916 1850 1.052 1851 0.974 1852 1.211 1853 0.842 1854 1.034 1855 0.682 1856 0.832 1857 0.938 1858 0.661 1859 0.582 1860 0.85 1861 0.772 1862 0.96 1863 0.8 1864 1.001 1865 1.066 1866 1.029 1867 1.142 1868 1.078 1869 0.944 1870 0.917 1871 0.983 1872 0.946 1873 0.843 1874 0.826 1875 0.842 1876 0.675 1877 0.674 1878 0.894 1879 0.992 1880 0.923 1881 1.021 1882 1.194 1883 1.03 1884 1.342 1885 0.97 1886 1.092 1887 1.062 1888 1.048 1889 1.47 1890 1.582 1891 1.054 1892 1.12 1893 1.013 1894 1.109 1895 0.912 1896 0.861 1897 0.986 1898 1.096 1899 0.832 1900 0.914 1901 0.961 1902 0.743 1903 1.003 1904 0.953 1905 0.973 1906 1.127 1907 1.035 1908 1.146 1909 1.065 1910 1.365 1911 1.083 1912 1.135 1913 0.867 1914 0.862 1915 0.839 1916 0.955 1917 0.807 1918 0.726 1919 0.988 1920 1.0 1921 0.859 1922 0.952 1923 1.065 1924 1.034 1925 0.838 1926 0.84 1927 0.772 1928 0.756 1929 1.228 1930 0.921 1931 1.028 1932 1.164 1933 0.84 1934 0.922 1935 0.741 1936 0.725 1937 0.711 1938 0.92 1939 0.818 1940 0.399 1941 0.916 1942 1.046 1943 0.63 1944 0.926 1945 0.862 1946 1.096 1947 1.204 1948 0.793 1949 1.01 1950 0.711 1951 0.723 1952 0.751 1953 0.985 1954 0.867 1955 0.569 1956 0.968 1957 1.235 1958 1.234 1959 0.566 1960 1.065 1961 1.319 1962 1.126 1963 1.467 1964 1.113 1965 1.337 1966 1.128 1967 0.858 1968 0.871 1969 0.662 1970 0.727 1971 0.646 1972 0.903 1973 0.822 1974 0.958 1975 0.949 1976 0.872 1977 0.994 1978 1.122 1979 1.312 1980 1.599 1981 1.702 1982 1.555 1983 1.16 1984 1.039 1985 0.788 1986 1.021 1987 1.215 1988 1.182 1989 0.905 1990 0.941 1991 1.234 1992 0.631 1993 1.017 1994 0.964 1995 0.801 1996 0.898 1997 0.957 1998 0.505 1999 0.638 2000 0.854 2001 0.569 2002 0.671 2003 0.677 2004 0.877