# asia_russ164w - Tschongkys (Kirgistan) - 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/4695 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: asia_russ164w - Tschongkys (Kirgistan) - 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: Tschongkys (Kirgistan) # Location: # Country: Russia # Northernmost_Latitude: 42.18 # Southernmost_Latitude: 42.18 # Easternmost_Longitude: 78.18 # Westernmost_Longitude: 78.18 # Elevation: 2820 m #-------------------- # Data_Collection # Collection_Name: asia_russ164wB # Earliest_Year: 1714 # Most_Recent_Year: 1995 # Time_Unit: y_ad # Core_Length: # Notes: {"database":{"database1":"LMR","database2":"Breits"}} {"climateInterpretation":{"basis":"", "climateVariable":"M", "climateVariableDetail":"air", "interpDirection":"positive", "seasonality":"[6, 7, 8]"}}{"VSLite_parameters":{"T1":"2.82793960621","T2":"14.4824658063","M1":"0.0238722341729","M2":"0.542964639005"}} #-------------------- # Species # Species_Name: Shrenk's spruce # Species_Code: PCSH #-------------------- # 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 1714 0.918 1715 1.152 1716 1.163 1717 0.881 1718 1.105 1719 1.388 1720 1.234 1721 0.881 1722 0.958 1723 0.788 1724 0.945 1725 0.851 1726 0.886 1727 0.934 1728 1.07 1729 1.097 1730 1.177 1731 0.902 1732 1.113 1733 0.744 1734 1.204 1735 1.042 1736 1.045 1737 1.106 1738 0.905 1739 1.22 1740 1.188 1741 1.305 1742 1.059 1743 0.86 1744 0.661 1745 0.743 1746 0.917 1747 1.201 1748 1.222 1749 1.196 1750 1.215 1751 1.367 1752 1.399 1753 1.466 1754 1.238 1755 1.227 1756 1.273 1757 1.235 1758 0.855 1759 1.025 1760 0.819 1761 0.824 1762 0.79 1763 0.916 1764 0.95 1765 0.968 1766 1.234 1767 0.979 1768 0.699 1769 0.868 1770 1.153 1771 0.706 1772 0.903 1773 0.87 1774 0.843 1775 0.466 1776 0.899 1777 0.793 1778 0.686 1779 0.906 1780 0.899 1781 0.853 1782 0.701 1783 0.883 1784 0.803 1785 0.879 1786 0.773 1787 0.577 1788 0.817 1789 0.741 1790 0.902 1791 1.153 1792 1.148 1793 1.058 1794 1.164 1795 1.268 1796 1.019 1797 0.93 1798 0.901 1799 1.05 1800 0.966 1801 1.074 1802 0.82 1803 1.097 1804 1.321 1805 1.1 1806 0.81 1807 0.877 1808 0.713 1809 0.738 1810 0.663 1811 0.821 1812 0.838 1813 0.998 1814 0.943 1815 0.837 1816 0.952 1817 0.909 1818 0.934 1819 1.067 1820 1.016 1821 0.992 1822 1.089 1823 0.909 1824 1.085 1825 1.204 1826 1.212 1827 1.145 1828 1.101 1829 0.497 1830 0.715 1831 0.737 1832 0.815 1833 0.792 1834 0.955 1835 0.805 1836 0.975 1837 1.051 1838 1.011 1839 0.851 1840 0.858 1841 1.121 1842 1.009 1843 0.983 1844 0.698 1845 0.838 1846 1.166 1847 0.951 1848 1.003 1849 1.012 1850 0.698 1851 1.009 1852 1.112 1853 1.314 1854 1.163 1855 1.028 1856 1.121 1857 0.896 1858 0.8 1859 0.801 1860 1.01 1861 1.014 1862 1.103 1863 1.089 1864 0.846 1865 0.908 1866 0.935 1867 1.023 1868 0.949 1869 1.055 1870 1.035 1871 0.973 1872 1.186 1873 0.796 1874 0.703 1875 1.02 1876 1.13 1877 0.916 1878 0.92 1879 0.506 1880 0.735 1881 0.967 1882 1.218 1883 1.236 1884 0.833 1885 0.529 1886 1.127 1887 0.879 1888 1.118 1889 1.056 1890 1.079 1891 0.966 1892 0.986 1893 1.128 1894 0.835 1895 0.422 1896 0.974 1897 1.109 1898 1.003 1899 1.166 1900 1.043 1901 1.043 1902 1.236 1903 1.337 1904 1.115 1905 0.956 1906 0.998 1907 0.767 1908 0.905 1909 0.72 1910 0.963 1911 0.772 1912 0.722 1913 0.845 1914 0.839 1915 0.718 1916 0.763 1917 0.277 1918 0.418 1919 0.671 1920 0.793 1921 0.77 1922 0.788 1923 0.63 1924 1.119 1925 1.143 1926 1.103 1927 0.751 1928 1.096 1929 0.962 1930 0.934 1931 0.946 1932 0.805 1933 1.205 1934 1.049 1935 1.233 1936 1.384 1937 1.443 1938 1.07 1939 1.463 1940 1.08 1941 1.402 1942 1.42 1943 1.284 1944 1.132 1945 0.86 1946 0.927 1947 0.856 1948 1.035 1949 0.785 1950 1.058 1951 0.992 1952 1.23 1953 1.226 1954 1.009 1955 1.312 1956 1.379 1957 1.127 1958 1.285 1959 1.362 1960 1.194 1961 0.767 1962 1.036 1963 0.903 1964 1.1 1965 0.882 1966 1.092 1967 1.016 1968 1.186 1969 1.205 1970 1.21 1971 1.168 1972 0.817 1973 1.152 1974 0.912 1975 1.067 1976 0.92 1977 0.975 1978 1.004 1979 1.014 1980 0.927 1981 0.98 1982 0.74 1983 1.015 1984 0.96 1985 0.683 1986 1.035 1987 1.079 1988 0.964 1989 1.169 1990 0.896 1991 1.119 1992 1.281 1993 1.264 1994 1.374 1995 1.055