# asia_russ144w - Julietta south - 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/4450 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: asia_russ144w - Julietta south - 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: Julietta south # Location: # Country: Russia # Northernmost_Latitude: 61.17 # Southernmost_Latitude: 61.17 # Easternmost_Longitude: 153.97 # Westernmost_Longitude: 153.97 # Elevation: nan m #-------------------- # Data_Collection # Collection_Name: asia_russ144wB # Earliest_Year: 1787 # Most_Recent_Year: 1994 # 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":"4.09885176478","T2":"16.7527277825","M1":"0.0223172821669","M2":"0.420541414547"}} #-------------------- # Species # Species_Name: Dahurian larch # Species_Code: LAGM #-------------------- # 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 1787 0.603 1788 1.038 1789 1.001 1790 1.094 1791 1.041 1792 1.317 1793 0.87 1794 0.995 1795 1.415 1796 0.983 1797 0.583 1798 1.443 1799 1.157 1800 1.377 1801 1.13 1802 1.221 1803 1.225 1804 1.079 1805 1.155 1806 0.942 1807 1.475 1808 0.793 1809 1.382 1810 1.192 1811 1.124 1812 0.882 1813 0.907 1814 1.082 1815 0.864 1816 1.339 1817 0.717 1818 0.289 1819 1.075 1820 1.159 1821 1.307 1822 0.967 1823 0.849 1824 1.204 1825 1.326 1826 0.995 1827 1.249 1828 1.071 1829 1.247 1830 1.178 1831 1.248 1832 0.733 1833 1.385 1834 1.267 1835 1.044 1836 1.172 1837 0.542 1838 0.81 1839 0.919 1840 1.069 1841 0.87 1842 0.634 1843 0.85 1844 1.148 1845 1.058 1846 1.108 1847 1.059 1848 0.483 1849 0.936 1850 0.972 1851 1.281 1852 0.929 1853 1.449 1854 1.432 1855 0.43 1856 0.543 1857 0.668 1858 0.928 1859 0.754 1860 0.805 1861 0.81 1862 0.796 1863 0.315 1864 0.744 1865 1.039 1866 1.046 1867 0.841 1868 1.086 1869 0.785 1870 0.912 1871 1.185 1872 1.27 1873 1.054 1874 1.087 1875 1.041 1876 0.795 1877 0.923 1878 1.407 1879 1.068 1880 1.327 1881 0.928 1882 0.942 1883 0.848 1884 1.164 1885 0.921 1886 1.124 1887 0.849 1888 0.868 1889 0.956 1890 1.251 1891 1.581 1892 1.75 1893 1.457 1894 1.358 1895 1.309 1896 1.123 1897 0.803 1898 1.187 1899 0.924 1900 1.018 1901 0.533 1902 1.12 1903 0.67 1904 0.702 1905 0.839 1906 0.814 1907 0.915 1908 0.963 1909 0.951 1910 1.067 1911 1.004 1912 0.731 1913 1.075 1914 1.161 1915 1.13 1916 1.179 1917 0.989 1918 0.532 1919 0.992 1920 1.495 1921 1.4 1922 0.947 1923 1.153 1924 1.111 1925 1.17 1926 1.154 1927 0.845 1928 1.315 1929 1.495 1930 1.347 1931 1.297 1932 0.946 1933 0.793 1934 0.796 1935 0.782 1936 0.934 1937 0.884 1938 1.06 1939 1.003 1940 0.305 1941 0.465 1942 1.089 1943 1.041 1944 1.426 1945 0.994 1946 1.202 1947 0.489 1948 1.164 1949 0.768 1950 0.855 1951 1.145 1952 0.87 1953 0.622 1954 0.733 1955 0.636 1956 0.873 1957 0.884 1958 0.686 1959 0.822 1960 0.965 1961 0.702 1962 0.717 1963 0.817 1964 1.424 1965 0.791 1966 1.109 1967 0.83 1968 0.799 1969 0.745 1970 0.897 1971 0.554 1972 0.266 1973 0.823 1974 0.957 1975 0.814 1976 1.014 1977 1.09 1978 0.554 1979 0.622 1980 1.322 1981 1.166 1982 0.582 1983 1.383 1984 1.089 1985 0.78 1986 0.98 1987 1.273 1988 1.136 1989 1.224 1990 0.9 1991 0.851 1992 0.79 1993 0.95 1994 1.162