# asia_russ056w - Charijaga - 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/4376 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: asia_russ056w - Charijaga - 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: Charijaga # Location: # Country: Russia # Northernmost_Latitude: 66.88 # Southernmost_Latitude: 66.88 # Easternmost_Longitude: 51.95 # Westernmost_Longitude: 51.95 # Elevation: 35 m #-------------------- # Data_Collection # Collection_Name: asia_russ056wB # Earliest_Year: 1809 # Most_Recent_Year: 1990 # 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":"6.67818141385","T2":"19.3114465781","M1":"0.0224255308152","M2":"0.247684923728"}} #-------------------- # Species # Species_Name: Siberian spruce # Species_Code: PCOB #-------------------- # 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 1809 0.835 1810 0.582 1811 0.698 1812 0.852 1813 0.723 1814 0.685 1815 0.673 1816 0.514 1817 0.473 1818 0.536 1819 0.526 1820 0.57 1821 0.428 1822 0.416 1823 0.688 1824 0.646 1825 0.896 1826 0.959 1827 1.236 1828 1.14 1829 1.457 1830 1.518 1831 1.363 1832 1.569 1833 1.413 1834 0.994 1835 1.231 1836 0.933 1837 1.07 1838 0.912 1839 1.176 1840 1.396 1841 0.929 1842 0.875 1843 0.772 1844 0.887 1845 0.93 1846 0.889 1847 0.931 1848 0.836 1849 1.046 1850 0.833 1851 1.133 1852 0.846 1853 0.969 1854 1.235 1855 0.971 1856 1.392 1857 1.062 1858 1.083 1859 1.38 1860 0.854 1861 1.065 1862 0.686 1863 0.652 1864 0.912 1865 0.943 1866 1.042 1867 0.849 1868 0.795 1869 0.981 1870 0.97 1871 1.189 1872 1.045 1873 1.15 1874 1.05 1875 1.103 1876 1.068 1877 1.16 1878 1.381 1879 1.092 1880 1.357 1881 1.123 1882 0.967 1883 0.969 1884 1.226 1885 1.289 1886 1.212 1887 1.258 1888 0.732 1889 0.734 1890 0.991 1891 0.833 1892 1.362 1893 1.092 1894 0.956 1895 0.78 1896 0.64 1897 0.532 1898 0.771 1899 0.718 1900 0.789 1901 0.831 1902 0.945 1903 0.515 1904 0.935 1905 0.83 1906 0.82 1907 0.924 1908 1.051 1909 1.082 1910 0.658 1911 1.146 1912 0.893 1913 0.976 1914 0.841 1915 1.094 1916 1.013 1917 1.181 1918 1.154 1919 1.129 1920 0.953 1921 0.887 1922 1.124 1923 1.022 1924 0.862 1925 1.055 1926 0.938 1927 1.262 1928 1.354 1929 1.142 1930 1.006 1931 1.163 1932 0.7 1933 1.054 1934 0.935 1935 0.912 1936 1.019 1937 0.837 1938 1.114 1939 0.867 1940 1.118 1941 0.634 1942 1.011 1943 0.778 1944 0.768 1945 0.866 1946 0.782 1947 0.756 1948 0.896 1949 0.917 1950 0.657 1951 0.965 1952 1.292 1953 1.469 1954 1.612 1955 0.964 1956 1.19 1957 1.094 1958 1.067 1959 1.211 1960 0.906 1961 1.146 1962 0.645 1963 0.809 1964 0.93 1965 1.118 1966 0.898 1967 0.559 1968 0.655 1969 0.899 1970 0.931 1971 0.843 1972 0.932 1973 0.718 1974 0.982 1975 0.227 1976 0.95 1977 0.854 1978 0.903 1979 1.214 1980 0.887 1981 1.244 1982 0.662 1983 1.262 1984 1.43 1985 1.009 1986 0.853 1987 1.137 1988 1.079 1989 0.861 1990 1.016