# europe_swed317 - Stortjäderberget - 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/6140 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_swed317 - Stortjäderberget - 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: Stortjäderberget # Location: # Country: Sweden # Northernmost_Latitude: 64.53 # Southernmost_Latitude: 64.53 # Easternmost_Longitude: 19.0 # Westernmost_Longitude: 19.0 # Elevation: 290 m #-------------------- # Data_Collection # Collection_Name: europe_swed317B # Earliest_Year: 1846 # Most_Recent_Year: 1998 # 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":"6.41621318568","T2":"13.2475582862","M1":"0.0225002559203","M2":"0.503262334328"}} #-------------------- # 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 1846 1.011 1847 1.045 1848 0.997 1849 0.851 1850 1.058 1851 0.929 1852 1.199 1853 1.82 1854 2.036 1855 2.073 1856 1.945 1857 1.412 1858 1.169 1859 1.329 1860 1.339 1861 1.335 1862 1.202 1863 0.862 1864 0.881 1865 0.763 1866 0.793 1867 0.703 1868 0.987 1869 0.705 1870 1.002 1871 1.037 1872 1.298 1873 1.06 1874 1.131 1875 1.152 1876 0.808 1877 0.747 1878 0.581 1879 0.605 1880 0.635 1881 0.627 1882 0.539 1883 0.525 1884 0.547 1885 0.627 1886 0.569 1887 0.507 1888 0.505 1889 0.312 1890 0.531 1891 0.471 1892 0.692 1893 0.855 1894 0.532 1895 0.908 1896 0.781 1897 0.822 1898 0.903 1899 0.693 1900 0.855 1901 0.898 1902 0.562 1903 0.625 1904 0.58 1905 0.628 1906 0.694 1907 0.587 1908 0.615 1909 0.733 1910 0.769 1911 0.699 1912 0.894 1913 1.134 1914 1.47 1915 1.627 1916 1.252 1917 1.352 1918 1.107 1919 1.158 1920 0.927 1921 1.025 1922 0.982 1923 0.614 1924 0.678 1925 0.768 1926 0.765 1927 0.738 1928 0.363 1929 0.819 1930 0.673 1931 0.451 1932 0.716 1933 0.679 1934 0.572 1935 0.274 1936 0.478 1937 0.685 1938 0.604 1939 0.698 1940 0.761 1941 0.668 1942 0.604 1943 0.689 1944 0.587 1945 0.506 1946 0.822 1947 1.153 1948 1.027 1949 1.387 1950 1.185 1951 1.068 1952 1.106 1953 1.157 1954 1.445 1955 1.176 1956 1.172 1957 1.139 1958 1.357 1959 1.009 1960 1.079 1961 0.871 1962 1.316 1963 1.48 1964 1.356 1965 0.882 1966 0.971 1967 1.025 1968 1.177 1969 0.872 1970 1.246 1971 1.4 1972 1.399 1973 1.363 1974 1.244 1975 1.305 1976 1.84 1977 1.301 1978 1.485 1979 1.706 1980 1.315 1981 1.366 1982 1.254 1983 1.38 1984 1.603 1985 1.56 1986 1.634 1987 1.451 1988 1.1 1989 1.573 1990 1.224 1991 1.14 1992 1.342 1993 0.818 1994 1.02 1995 0.973 1996 1.026 1997 0.822 1998 0.782