# europe_norw005 - Skjerstad Botn. Soldatenf. - 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/4656 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_norw005 - Skjerstad Botn. Soldatenf. - 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: Skjerstad Botn. Soldatenf. # Location: # Country: Norway # Northernmost_Latitude: 67.07 # Southernmost_Latitude: 67.07 # Easternmost_Longitude: 15.45 # Westernmost_Longitude: 15.45 # Elevation: 40 m #-------------------- # Data_Collection # Collection_Name: europe_norw005B # Earliest_Year: 1826 # Most_Recent_Year: 1977 # 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":"6.35101783992","T2":"18.6106288825","M1":"0.0222780692437","M2":"0.367887354798"}} #-------------------- # 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 1826 1.363 1827 1.268 1828 1.219 1829 1.32 1830 0.983 1831 1.184 1832 0.854 1833 0.587 1834 0.328 1835 0.395 1836 0.568 1837 0.54 1838 0.685 1839 0.856 1840 0.796 1841 0.909 1842 0.917 1843 0.8 1844 0.893 1845 0.562 1846 0.732 1847 0.695 1848 0.898 1849 0.784 1850 0.739 1851 0.8 1852 0.985 1853 0.856 1854 1.115 1855 0.996 1856 0.926 1857 0.87 1858 0.9 1859 0.748 1860 0.79 1861 0.755 1862 0.849 1863 1.028 1864 1.167 1865 1.283 1866 1.229 1867 0.866 1868 0.996 1869 0.953 1870 1.097 1871 0.945 1872 1.177 1873 1.323 1874 1.166 1875 1.201 1876 1.206 1877 0.98 1878 0.879 1879 0.971 1880 0.761 1881 0.499 1882 0.761 1883 0.791 1884 0.601 1885 0.448 1886 0.523 1887 0.668 1888 0.612 1889 0.761 1890 0.992 1891 0.962 1892 0.649 1893 0.692 1894 0.741 1895 0.816 1896 0.848 1897 1.138 1898 1.247 1899 0.972 1900 0.98 1901 1.528 1902 1.404 1903 1.103 1904 1.155 1905 1.119 1906 1.41 1907 1.326 1908 1.538 1909 1.196 1910 1.137 1911 1.01 1912 1.199 1913 1.298 1914 1.583 1915 1.342 1916 1.269 1917 0.999 1918 1.334 1919 0.893 1920 0.936 1921 1.109 1922 1.414 1923 1.181 1924 1.331 1925 1.573 1926 1.399 1927 1.298 1928 0.869 1929 0.647 1930 0.92 1931 0.583 1932 0.505 1933 0.594 1934 0.701 1935 0.522 1936 0.509 1937 0.893 1938 0.78 1939 0.78 1940 0.809 1941 1.338 1942 1.316 1943 1.583 1944 1.611 1945 1.438 1946 0.906 1947 0.884 1948 0.963 1949 1.094 1950 1.084 1951 0.828 1952 0.889 1953 1.065 1954 1.013 1955 0.94 1956 0.964 1957 1.165 1958 1.034 1959 1.331 1960 1.666 1961 1.189 1962 0.927 1963 0.864 1964 1.018 1965 0.833 1966 0.832 1967 0.834 1968 0.827 1969 0.804 1970 0.612 1971 0.567 1972 0.649 1973 0.781 1974 0.772 1975 0.856 1976 0.963 1977 0.943