# asia_russ077w - Ary-Ongorbynf-River A - 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/4317 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: asia_russ077w - Ary-Ongorbynf-River A - 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: Ary-Ongorbynf-River A # Location: # Country: Russia # Northernmost_Latitude: 71.7 # Southernmost_Latitude: 71.7 # Easternmost_Longitude: 118.58 # Westernmost_Longitude: 118.58 # Elevation: 140 m #-------------------- # Data_Collection # Collection_Name: asia_russ077wB # Earliest_Year: 1726 # 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":"8.35294969855","T2":"17.4960018624","M1":"0.023061164654","M2":"0.385201940014"}} #-------------------- # 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 1726 1.29 1727 1.557 1728 0.777 1729 0.859 1730 0.6 1731 0.575 1732 0.814 1733 0.569 1734 1.0 1735 0.435 1736 0.581 1737 0.854 1738 0.997 1739 1.067 1740 0.312 1741 0.321 1742 0.458 1743 0.721 1744 1.242 1745 1.06 1746 1.258 1747 1.512 1748 1.3 1749 0.934 1750 1.681 1751 1.15 1752 1.782 1753 1.344 1754 0.466 1755 1.32 1756 0.978 1757 2.055 1758 1.718 1759 1.09 1760 0.803 1761 1.012 1762 0.506 1763 1.215 1764 1.024 1765 1.52 1766 1.119 1767 1.007 1768 1.202 1769 1.514 1770 0.769 1771 0.671 1772 1.008 1773 0.397 1774 1.016 1775 1.059 1776 0.816 1777 1.002 1778 1.07 1779 0.208 1780 0.977 1781 1.437 1782 1.742 1783 1.342 1784 1.472 1785 1.216 1786 1.112 1787 1.342 1788 1.618 1789 1.639 1790 1.76 1791 0.6 1792 0.846 1793 1.049 1794 1.056 1795 1.303 1796 0.826 1797 1.113 1798 1.086 1799 0.448 1800 0.307 1801 0.634 1802 0.896 1803 1.131 1804 0.463 1805 0.576 1806 1.428 1807 0.439 1808 1.053 1809 0.871 1810 1.023 1811 1.195 1812 0.698 1813 0.407 1814 0.715 1815 0.523 1816 0.872 1817 0.46 1818 0.929 1819 0.514 1820 0.903 1821 0.496 1822 0.861 1823 0.434 1824 0.705 1825 0.741 1826 0.353 1827 0.71 1828 1.242 1829 0.756 1830 0.499 1831 1.144 1832 0.906 1833 0.642 1834 1.237 1835 1.187 1836 1.246 1837 0.349 1838 0.531 1839 0.567 1840 0.779 1841 0.799 1842 0.588 1843 0.899 1844 0.695 1845 1.027 1846 1.136 1847 0.626 1848 0.292 1849 0.626 1850 0.981 1851 0.684 1852 1.092 1853 0.854 1854 1.051 1855 0.886 1856 1.352 1857 1.412 1858 0.985 1859 1.06 1860 1.673 1861 1.48 1862 1.429 1863 0.599 1864 1.117 1865 1.61 1866 0.862 1867 1.352 1868 1.767 1869 0.709 1870 0.321 1871 0.562 1872 0.837 1873 0.79 1874 0.947 1875 0.824 1876 0.729 1877 1.067 1878 1.115 1879 1.125 1880 1.387 1881 1.702 1882 1.381 1883 1.851 1884 1.287 1885 1.11 1886 0.395 1887 0.647 1888 0.991 1889 0.549 1890 0.685 1891 1.292 1892 0.951 1893 0.506 1894 1.361 1895 1.081 1896 1.167 1897 1.0 1898 0.724 1899 1.253 1900 0.179 1901 1.077 1902 1.326 1903 0.864 1904 0.515 1905 0.338 1906 0.44 1907 0.829 1908 0.936 1909 1.012 1910 0.803 1911 0.543 1912 0.456 1913 0.724 1914 1.121 1915 0.636 1916 1.007 1917 1.019 1918 0.836 1919 1.162 1920 0.845 1921 0.471 1922 0.906 1923 0.528 1924 0.641 1925 0.617 1926 0.999 1927 0.544 1928 0.788 1929 0.528 1930 0.64 1931 0.885 1932 1.032 1933 0.792 1934 0.64 1935 1.083 1936 1.277 1937 0.987 1938 1.359 1939 0.564 1940 1.194 1941 0.83 1942 1.608 1943 0.976 1944 1.059 1945 1.165 1946 1.555 1947 1.224 1948 1.744 1949 0.811 1950 0.807 1951 1.294 1952 0.968 1953 1.182 1954 0.806 1955 1.42 1956 1.634 1957 1.022 1958 1.527 1959 1.063 1960 1.645 1961 1.793 1962 1.241 1963 0.864 1964 1.765 1965 0.827 1966 1.212 1967 1.786 1968 1.57 1969 1.18 1970 1.803 1971 1.081 1972 0.73 1973 1.056 1974 0.91 1975 1.034 1976 0.97 1977 0.558 1978 0.432 1979 1.276 1980 0.494 1981 0.991 1982 1.14 1983 0.889 1984 1.391 1985 0.589 1986 1.454 1987 0.916 1988 1.312 1989 0.264 1990 0.666