# asia_russ035w - Khadyta River - 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/4462 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: asia_russ035w - Khadyta River - 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: Khadyta River # Location: # Country: Russia # Northernmost_Latitude: 67.2 # Southernmost_Latitude: 67.2 # Easternmost_Longitude: 69.83 # Westernmost_Longitude: 69.83 # Elevation: 90 m #-------------------- # Data_Collection # Collection_Name: asia_russ035wB # Earliest_Year: 1786 # 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":"7.00109612575","T2":"20.0871405433","M1":"0.0222980408701","M2":"0.242666563425"}} #-------------------- # Species # Species_Name: Siberian larch # Species_Code: LASI #-------------------- # 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 1786 0.805 1787 1.004 1788 0.746 1789 0.912 1790 1.15 1791 1.168 1792 0.931 1793 1.35 1794 0.983 1795 1.03 1796 1.548 1797 1.304 1798 1.474 1799 0.899 1800 1.093 1801 1.279 1802 1.309 1803 1.316 1804 0.773 1805 1.268 1806 0.881 1807 1.263 1808 1.226 1809 1.068 1810 1.036 1811 0.898 1812 0.633 1813 0.781 1814 0.78 1815 0.381 1816 0.057 1817 0.245 1818 0.053 1819 0.18 1820 0.101 1821 0.393 1822 0.75 1823 1.151 1824 1.163 1825 0.655 1826 1.333 1827 1.71 1828 0.686 1829 0.814 1830 0.845 1831 0.573 1832 1.011 1833 0.648 1834 0.543 1835 0.794 1836 0.696 1837 0.638 1838 0.39 1839 0.978 1840 1.501 1841 1.092 1842 1.803 1843 0.964 1844 1.918 1845 2.067 1846 1.653 1847 1.762 1848 1.083 1849 1.004 1850 1.143 1851 1.256 1852 1.143 1853 1.128 1854 1.075 1855 0.549 1856 1.223 1857 1.084 1858 0.979 1859 1.024 1860 0.696 1861 0.941 1862 0.748 1863 0.616 1864 0.56 1865 0.725 1866 0.998 1867 0.199 1868 1.423 1869 1.121 1870 2.015 1871 1.454 1872 1.576 1873 0.573 1874 0.971 1875 0.967 1876 0.697 1877 1.351 1878 1.303 1879 1.267 1880 1.016 1881 0.816 1882 0.241 1883 0.485 1884 0.395 1885 0.302 1886 0.696 1887 0.888 1888 0.617 1889 0.29 1890 1.139 1891 0.479 1892 1.021 1893 0.747 1894 0.469 1895 1.121 1896 1.055 1897 1.465 1898 1.791 1899 0.697 1900 1.297 1901 0.962 1902 1.391 1903 0.414 1904 1.044 1905 0.946 1906 1.289 1907 1.073 1908 1.487 1909 2.064 1910 1.235 1911 2.111 1912 0.727 1913 1.065 1914 0.763 1915 1.721 1916 0.903 1917 1.228 1918 1.207 1919 0.649 1920 0.863 1921 1.222 1922 1.396 1923 1.599 1924 1.758 1925 1.409 1926 1.463 1927 0.994 1928 1.134 1929 1.004 1930 0.753 1931 0.733 1932 0.351 1933 0.588 1934 0.483 1935 0.61 1936 0.676 1937 1.048 1938 1.392 1939 1.648 1940 1.086 1941 0.485 1942 1.303 1943 1.281 1944 1.13 1945 1.421 1946 0.786 1947 0.501 1948 1.058 1949 0.513 1950 0.864 1951 0.787 1952 1.086 1953 1.42 1954 1.129 1955 1.304 1956 1.742 1957 1.075 1958 0.649 1959 0.641 1960 0.744 1961 0.867 1962 0.815 1963 1.234 1964 1.393 1965 1.615 1966 0.948 1967 0.925 1968 0.726 1969 1.13 1970 0.541 1971 0.277 1972 0.599 1973 0.357 1974 0.683 1975 0.212 1976 0.695 1977 0.606 1978 0.768 1979 0.787 1980 0.516 1981 0.958 1982 1.169 1983 1.426 1984 1.626 1985 0.855 1986 0.615 1987 0.622 1988 0.849 1989 1.336 1990 1.063