# europe_finl049 - Keihäsjoki Nature Conservation Area Juuka - 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/3993 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_finl049 - Keihäsjoki Nature Conservation Area Juuka - 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: Keihäsjoki Nature Conservation Area Juuka # Location: # Country: Finland # Northernmost_Latitude: 63.28 # Southernmost_Latitude: 63.28 # Easternmost_Longitude: 28.93 # Westernmost_Longitude: 28.93 # Elevation: nan m #-------------------- # Data_Collection # Collection_Name: europe_finl049B # Earliest_Year: 1829 # Most_Recent_Year: 2001 # 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":"5.21967290128","T2":"16.2879096756","M1":"0.0223578979813","M2":"0.248885261276"}} #-------------------- # 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 1829 0.866 1830 0.941 1831 1.05 1832 0.955 1833 0.969 1834 0.998 1835 0.819 1836 0.904 1837 0.938 1838 1.037 1839 1.191 1840 1.164 1841 1.005 1842 1.106 1843 0.923 1844 1.013 1845 0.905 1846 1.003 1847 0.969 1848 1.11 1849 1.154 1850 1.068 1851 1.16 1852 0.947 1853 0.955 1854 1.166 1855 1.046 1856 1.153 1857 1.088 1858 1.102 1859 0.912 1860 1.125 1861 1.051 1862 0.841 1863 1.013 1864 1.092 1865 1.148 1866 1.038 1867 0.776 1868 0.919 1869 0.909 1870 1.071 1871 0.905 1872 0.931 1873 0.955 1874 0.958 1875 1.084 1876 0.952 1877 0.983 1878 0.883 1879 0.846 1880 0.79 1881 0.74 1882 1.168 1883 0.946 1884 0.942 1885 1.015 1886 0.829 1887 0.719 1888 0.758 1889 0.737 1890 0.844 1891 0.865 1892 0.938 1893 0.989 1894 0.906 1895 0.931 1896 1.062 1897 0.946 1898 1.024 1899 0.853 1900 0.986 1901 1.102 1902 0.847 1903 0.874 1904 0.906 1905 0.89 1906 0.964 1907 0.863 1908 1.049 1909 0.927 1910 0.849 1911 0.934 1912 1.014 1913 0.873 1914 0.936 1915 1.518 1916 1.168 1917 1.045 1918 0.867 1919 0.905 1920 0.896 1921 1.019 1922 1.203 1923 1.147 1924 1.1 1925 0.846 1926 0.645 1927 0.921 1928 0.747 1929 0.874 1930 0.896 1931 0.615 1932 1.027 1933 0.842 1934 1.037 1935 0.747 1936 0.724 1937 0.684 1938 0.77 1939 0.853 1940 0.831 1941 0.887 1942 0.845 1943 0.842 1944 0.898 1945 1.147 1946 1.191 1947 1.587 1948 1.627 1949 1.221 1950 1.138 1951 0.951 1952 1.128 1953 1.42 1954 1.657 1955 1.182 1956 0.974 1957 1.412 1958 1.089 1959 1.23 1960 1.073 1961 1.052 1962 1.185 1963 0.968 1964 0.948 1965 0.858 1966 1.029 1967 1.097 1968 0.947 1969 0.833 1970 0.809 1971 0.861 1972 1.023 1973 1.15 1974 1.222 1975 1.18 1976 0.977 1977 0.893 1978 0.981 1979 1.216 1980 0.951 1981 1.023 1982 1.048 1983 1.022 1984 0.809 1985 0.866 1986 1.065 1987 1.038 1988 1.322 1989 1.078 1990 1.235 1991 1.159 1992 0.869 1993 0.657 1994 0.912 1995 0.804 1996 0.84 1997 1.057 1998 0.932 1999 1.037 2000 1.041 2001 0.755