# asia_russ152w - Sarejmek (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/4625 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: asia_russ152w - Sarejmek (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: Sarejmek (Kirgistan) # Location: # Country: Russia # Northernmost_Latitude: 41.6 # Southernmost_Latitude: 41.6 # Easternmost_Longitude: 75.15 # Westernmost_Longitude: 75.15 # Elevation: 2800 m #-------------------- # Data_Collection # Collection_Name: asia_russ152wB # Earliest_Year: 1663 # 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":"4.21562757248","T2":"15.4130290748","M1":"0.0231350597911","M2":"0.523914194491"}} #-------------------- # 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 1663 1.071 1664 0.962 1665 1.142 1666 0.996 1667 1.112 1668 1.136 1669 0.779 1670 0.866 1671 1.129 1672 1.169 1673 1.258 1674 1.088 1675 1.24 1676 0.799 1677 1.296 1678 0.964 1679 0.922 1680 0.672 1681 1.04 1682 0.898 1683 1.271 1684 1.058 1685 0.69 1686 0.861 1687 0.737 1688 1.101 1689 1.225 1690 1.109 1691 1.172 1692 0.537 1693 1.105 1694 0.886 1695 0.715 1696 0.87 1697 0.787 1698 0.963 1699 0.841 1700 1.123 1701 1.121 1702 1.052 1703 1.442 1704 0.831 1705 1.232 1706 0.808 1707 1.103 1708 1.059 1709 1.068 1710 0.964 1711 0.946 1712 1.062 1713 1.001 1714 1.051 1715 0.917 1716 0.942 1717 0.896 1718 0.777 1719 1.03 1720 0.907 1721 0.703 1722 0.96 1723 0.734 1724 1.069 1725 0.902 1726 0.984 1727 1.215 1728 1.119 1729 1.03 1730 1.185 1731 0.783 1732 1.161 1733 0.922 1734 1.331 1735 1.303 1736 1.051 1737 1.069 1738 0.8 1739 1.131 1740 0.909 1741 1.119 1742 1.1 1743 0.906 1744 0.719 1745 0.824 1746 0.936 1747 1.257 1748 1.033 1749 1.207 1750 0.926 1751 1.251 1752 1.083 1753 1.136 1754 0.893 1755 0.96 1756 1.042 1757 1.185 1758 0.709 1759 0.954 1760 0.97 1761 0.856 1762 0.939 1763 1.242 1764 1.11 1765 1.193 1766 1.371 1767 1.141 1768 0.956 1769 1.217 1770 1.264 1771 0.735 1772 1.044 1773 0.873 1774 0.948 1775 0.896 1776 1.005 1777 0.883 1778 0.691 1779 1.01 1780 0.838 1781 0.986 1782 0.76 1783 0.838 1784 0.917 1785 1.198 1786 0.899 1787 0.861 1788 0.876 1789 1.024 1790 0.98 1791 0.998 1792 1.17 1793 1.147 1794 1.234 1795 1.343 1796 1.082 1797 0.992 1798 1.031 1799 1.064 1800 0.755 1801 0.979 1802 0.621 1803 0.98 1804 1.159 1805 1.047 1806 0.975 1807 0.988 1808 0.739 1809 0.821 1810 0.666 1811 0.831 1812 0.777 1813 0.972 1814 0.88 1815 0.629 1816 0.845 1817 0.73 1818 0.633 1819 0.749 1820 0.883 1821 0.991 1822 0.887 1823 0.73 1824 0.991 1825 0.948 1826 1.078 1827 0.979 1828 1.128 1829 1.132 1830 0.889 1831 0.914 1832 0.845 1833 0.755 1834 1.199 1835 0.96 1836 1.114 1837 1.023 1838 1.197 1839 0.807 1840 1.071 1841 0.96 1842 1.041 1843 1.197 1844 0.876 1845 0.993 1846 1.071 1847 0.799 1848 0.833 1849 0.867 1850 0.684 1851 1.158 1852 1.088 1853 1.272 1854 0.904 1855 0.769 1856 0.996 1857 0.749 1858 0.821 1859 0.905 1860 1.013 1861 0.959 1862 1.232 1863 1.086 1864 0.666 1865 0.721 1866 0.96 1867 0.825 1868 0.857 1869 0.883 1870 0.946 1871 1.221 1872 1.121 1873 0.776 1874 0.883 1875 0.901 1876 1.084 1877 0.833 1878 0.867 1879 1.109 1880 0.893 1881 1.005 1882 1.224 1883 1.262 1884 0.945 1885 0.87 1886 1.217 1887 1.049 1888 1.061 1889 1.036 1890 0.939 1891 0.732 1892 0.977 1893 1.306 1894 1.328 1895 0.744 1896 1.112 1897 0.967 1898 1.013 1899 1.071 1900 1.006 1901 0.926 1902 1.181 1903 1.144 1904 0.891 1905 0.938 1906 0.937 1907 0.679 1908 0.987 1909 0.692 1910 0.921 1911 0.796 1912 0.773 1913 1.044 1914 1.344 1915 0.642 1916 0.891 1917 0.471 1918 0.853 1919 0.901 1920 0.815 1921 0.878 1922 0.675 1923 0.535 1924 1.134 1925 1.103 1926 0.967 1927 0.896 1928 1.185 1929 0.846 1930 1.124 1931 0.98 1932 0.823 1933 0.987 1934 0.824 1935 1.11 1936 1.149 1937 1.234 1938 0.696 1939 1.059 1940 0.849 1941 1.149 1942 1.229 1943 1.201 1944 0.86 1945 0.957 1946 0.848 1947 0.926 1948 0.93 1949 0.915 1950 1.087 1951 0.793 1952 1.208 1953 1.247 1954 0.935 1955 1.324 1956 1.43 1957 1.274 1958 1.338 1959 1.202 1960 1.155 1961 0.954 1962 0.919 1963 1.058 1964 0.999 1965 0.746 1966 1.081 1967 0.928 1968 1.1 1969 1.074 1970 1.079 1971 1.134 1972 0.708 1973 1.178 1974 0.757 1975 0.948 1976 0.751 1977 1.12 1978 1.24 1979 1.008 1980 1.044 1981 0.878 1982 0.696 1983 0.924 1984 1.153 1985 1.027 1986 1.028 1987 0.965 1988 0.978 1989 1.104 1990 1.301 1991 1.079 1992 1.135 1993 1.446 1994 1.575 1995 1.365