# europe_swed322 - Lake Ånn Basin - 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/6135 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_swed322 - Lake Ånn Basin - 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: Lake Ånn Basin # Location: # Country: Sweden # Northernmost_Latitude: 63.25 # Southernmost_Latitude: 63.25 # Easternmost_Longitude: 12.42 # Westernmost_Longitude: 12.42 # Elevation: 530 m #-------------------- # Data_Collection # Collection_Name: europe_swed322B # Earliest_Year: 1823 # Most_Recent_Year: 1996 # Time_Unit: y_ad # Core_Length: # Notes: {"database":{"database1":"LMR","database2":"Breits"}} {"climateInterpretation":{"basis":"", "climateVariable":"T", "climateVariableDetail":"air", "interpDirection":"positive", "seasonality":"[6, 7, 8]"}}{"VSLite_parameters":{"T1":"2.89459601634","T2":"14.6098198718","M1":"0.0224300208281","M2":"0.511884501388"}} #-------------------- # 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 1823 1.089 1824 0.969 1825 0.902 1826 1.254 1827 1.172 1828 1.076 1829 1.144 1830 0.864 1831 1.192 1832 1.001 1833 1.454 1834 1.511 1835 1.122 1836 1.051 1837 0.679 1838 0.856 1839 0.554 1840 0.477 1841 0.561 1842 0.727 1843 0.589 1844 0.486 1845 0.897 1846 0.867 1847 1.102 1848 0.977 1849 0.609 1850 0.745 1851 0.788 1852 0.938 1853 0.927 1854 1.448 1855 1.393 1856 0.891 1857 0.828 1858 1.311 1859 1.094 1860 1.339 1861 1.411 1862 1.197 1863 1.019 1864 0.89 1865 0.682 1866 0.865 1867 0.845 1868 0.79 1869 0.716 1870 0.898 1871 0.915 1872 1.028 1873 1.02 1874 0.844 1875 1.127 1876 1.062 1877 0.906 1878 0.809 1879 0.99 1880 1.004 1881 0.838 1882 1.105 1883 1.336 1884 1.446 1885 1.339 1886 1.224 1887 1.281 1888 0.963 1889 0.848 1890 0.804 1891 0.798 1892 0.804 1893 0.978 1894 0.945 1895 1.062 1896 1.105 1897 1.154 1898 1.042 1899 1.011 1900 1.006 1901 1.068 1902 0.838 1903 0.655 1904 0.693 1905 0.627 1906 0.724 1907 0.729 1908 0.817 1909 0.699 1910 0.654 1911 0.583 1912 0.707 1913 0.65 1914 0.877 1915 0.732 1916 0.807 1917 0.856 1918 0.872 1919 0.941 1920 1.01 1921 0.827 1922 1.043 1923 0.809 1924 0.931 1925 1.135 1926 0.912 1927 0.935 1928 0.578 1929 0.997 1930 1.226 1931 1.148 1932 0.875 1933 0.958 1934 1.065 1935 0.975 1936 0.945 1937 1.186 1938 1.152 1939 1.167 1940 0.978 1941 1.151 1942 0.876 1943 1.134 1944 1.148 1945 1.08 1946 1.285 1947 1.816 1948 1.701 1949 1.76 1950 1.941 1951 1.65 1952 1.297 1953 1.448 1954 1.456 1955 1.149 1956 0.977 1957 1.046 1958 0.945 1959 1.103 1960 1.158 1961 0.947 1962 0.942 1963 0.92 1964 0.921 1965 0.934 1966 0.901 1967 1.056 1968 1.029 1969 0.932 1970 1.077 1971 0.887 1972 1.112 1973 1.25 1974 1.005 1975 1.311 1976 1.319 1977 1.06 1978 1.096 1979 0.825 1980 0.842 1981 0.573 1982 0.676 1983 0.888 1984 0.762 1985 0.928 1986 0.827 1987 0.607 1988 0.833 1989 0.794 1990 0.756 1991 0.811 1992 0.787 1993 0.612 1994 0.72 1995 0.644 1996 0.55