# europe_norw003 - Narvik - 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/4551 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_norw003 - Narvik - 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: Narvik # Location: # Country: Norway # Northernmost_Latitude: 68.48 # Southernmost_Latitude: 68.48 # Easternmost_Longitude: 17.73 # Westernmost_Longitude: 17.73 # Elevation: 50 m #-------------------- # Data_Collection # Collection_Name: europe_norw003B # Earliest_Year: 1828 # Most_Recent_Year: 1978 # 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":"7.89474589376","T2":"18.1485714756","M1":"0.0221826952486","M2":"0.383915877885"}} #-------------------- # 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 1828 1.314 1829 1.287 1830 1.002 1831 0.776 1832 0.909 1833 0.769 1834 0.518 1835 0.45 1836 0.754 1837 0.774 1838 0.435 1839 0.317 1840 0.39 1841 0.492 1842 0.814 1843 0.859 1844 0.879 1845 0.47 1846 0.865 1847 0.891 1848 1.21 1849 0.916 1850 1.006 1851 1.03 1852 0.842 1853 0.808 1854 1.092 1855 1.281 1856 1.1 1857 1.016 1858 1.641 1859 1.196 1860 0.916 1861 0.857 1862 0.893 1863 0.981 1864 0.716 1865 0.653 1866 1.002 1867 0.701 1868 0.751 1869 1.037 1870 1.167 1871 1.221 1872 1.143 1873 1.072 1874 0.942 1875 1.103 1876 1.226 1877 1.407 1878 1.371 1879 1.088 1880 0.93 1881 0.782 1882 1.359 1883 1.329 1884 0.886 1885 0.796 1886 1.154 1887 1.403 1888 1.283 1889 1.189 1890 1.408 1891 1.388 1892 1.002 1893 0.891 1894 0.921 1895 0.917 1896 1.092 1897 0.937 1898 0.976 1899 0.505 1900 0.528 1901 1.013 1902 1.104 1903 1.02 1904 1.063 1905 1.151 1906 1.255 1907 1.034 1908 1.01 1909 0.451 1910 0.743 1911 0.616 1912 0.858 1913 1.009 1914 1.472 1915 1.536 1916 1.374 1917 0.96 1918 0.642 1919 0.552 1920 0.774 1921 1.237 1922 0.991 1923 0.697 1924 0.903 1925 1.24 1926 1.114 1927 1.255 1928 1.008 1929 0.979 1930 1.529 1931 1.077 1932 1.116 1933 0.892 1934 1.135 1935 0.477 1936 0.59 1937 1.203 1938 1.102 1939 1.098 1940 1.172 1941 1.749 1942 1.372 1943 1.517 1944 1.102 1945 0.916 1946 0.295 1947 0.447 1948 0.697 1949 1.152 1950 1.465 1951 0.981 1952 0.719 1953 0.985 1954 1.106 1955 0.504 1956 0.544 1957 0.803 1958 0.858 1959 0.928 1960 1.161 1961 0.891 1962 0.872 1963 0.959 1964 1.654 1965 1.295 1966 1.128 1967 1.152 1968 1.083 1969 0.884 1970 0.754 1971 0.594 1972 0.756 1973 0.602 1974 0.678 1975 0.766 1976 0.753 1977 1.151 1978 0.996