# europe_swed016 - Fjall Glaskogen Naturres - 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/4412 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_swed016 - Fjall Glaskogen Naturres - 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: Fjall Glaskogen Naturres # Location: # Country: Sweden # Northernmost_Latitude: 59.47 # Southernmost_Latitude: 59.47 # Easternmost_Longitude: 12.4 # Westernmost_Longitude: 12.4 # Elevation: 250 m #-------------------- # Data_Collection # Collection_Name: europe_swed016B # Earliest_Year: 1807 # Most_Recent_Year: 1978 # 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":"3.42976057126","T2":"14.2871563558","M1":"0.0232845759944","M2":"0.572473786521"}} #-------------------- # 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 1807 0.841 1808 0.842 1809 1.358 1810 1.511 1811 1.333 1812 0.969 1813 0.483 1814 0.333 1815 0.712 1816 0.627 1817 1.394 1818 0.984 1819 0.649 1820 0.634 1821 1.107 1822 0.744 1823 0.629 1824 1.057 1825 0.92 1826 1.121 1827 1.867 1828 2.25 1829 1.088 1830 1.362 1831 0.967 1832 0.873 1833 0.923 1834 0.895 1835 0.849 1836 0.983 1837 1.158 1838 0.932 1839 1.053 1840 1.007 1841 0.778 1842 0.92 1843 0.778 1844 1.315 1845 1.307 1846 1.194 1847 0.813 1848 1.389 1849 1.275 1850 1.054 1851 0.817 1852 0.63 1853 0.365 1854 0.757 1855 0.679 1856 0.911 1857 0.905 1858 0.964 1859 1.186 1860 1.288 1861 0.99 1862 1.184 1863 1.282 1864 1.09 1865 1.135 1866 1.165 1867 0.89 1868 0.765 1869 0.817 1870 1.007 1871 0.878 1872 0.979 1873 0.791 1874 1.012 1875 1.082 1876 0.931 1877 1.001 1878 1.32 1879 0.669 1880 0.929 1881 0.646 1882 1.266 1883 0.545 1884 1.095 1885 0.842 1886 0.896 1887 0.629 1888 0.622 1889 0.774 1890 0.792 1891 0.766 1892 1.038 1893 0.974 1894 1.098 1895 0.861 1896 0.985 1897 1.002 1898 1.132 1899 1.053 1900 0.942 1901 0.891 1902 0.704 1903 1.051 1904 0.825 1905 0.769 1906 0.79 1907 1.051 1908 0.92 1909 0.903 1910 1.234 1911 0.678 1912 0.806 1913 0.886 1914 0.932 1915 0.901 1916 1.056 1917 1.062 1918 1.288 1919 1.028 1920 1.252 1921 1.61 1922 1.439 1923 1.394 1924 1.295 1925 1.054 1926 0.976 1927 1.081 1928 0.863 1929 0.911 1930 0.642 1931 0.58 1932 0.792 1933 0.557 1934 0.672 1935 0.952 1936 0.832 1937 0.772 1938 0.669 1939 0.7 1940 0.608 1941 0.939 1942 1.068 1943 1.48 1944 1.182 1945 1.32 1946 1.111 1947 1.056 1948 0.856 1949 1.043 1950 1.053 1951 1.221 1952 1.432 1953 2.139 1954 1.894 1955 1.388 1956 1.361 1957 1.809 1958 1.602 1959 1.273 1960 0.794 1961 0.77 1962 0.83 1963 1.095 1964 1.409 1965 1.265 1966 0.805 1967 1.107 1968 1.019 1969 0.527 1970 0.499 1971 0.523 1972 0.593 1973 0.657 1974 0.755 1975 0.606 1976 0.614 1977 0.487 1978 0.55