# asia_russ076w - Popigay - 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/4602 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: asia_russ076w - Popigay - 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: Popigay # Location: # Country: Russia # Northernmost_Latitude: 71.9 # Southernmost_Latitude: 71.9 # Easternmost_Longitude: 111.03 # Westernmost_Longitude: 111.03 # Elevation: 150 m #-------------------- # Data_Collection # Collection_Name: asia_russ076wB # Earliest_Year: 1661 # 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":"6.03841369743","T2":"17.544450409","M1":"0.0213928233694","M2":"0.363160014808"}} #-------------------- # 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 1661 1.048 1662 0.954 1663 0.882 1664 1.0 1665 1.019 1666 1.238 1667 1.769 1668 1.42 1669 0.517 1670 0.511 1671 0.576 1672 0.664 1673 1.018 1674 0.409 1675 0.63 1676 0.839 1677 1.027 1678 0.706 1679 0.817 1680 1.053 1681 0.76 1682 0.919 1683 1.267 1684 0.799 1685 0.382 1686 1.124 1687 0.934 1688 1.057 1689 1.221 1690 0.698 1691 1.708 1692 1.013 1693 1.506 1694 1.307 1695 0.819 1696 0.27 1697 0.422 1698 0.152 1699 0.187 1700 0.347 1701 0.499 1702 0.246 1703 0.622 1704 0.843 1705 1.175 1706 1.158 1707 1.385 1708 0.788 1709 0.641 1710 0.98 1711 0.987 1712 0.964 1713 1.143 1714 0.92 1715 1.291 1716 1.469 1717 1.197 1718 0.545 1719 1.28 1720 1.347 1721 1.234 1722 1.095 1723 0.739 1724 1.361 1725 1.437 1726 1.638 1727 1.917 1728 0.759 1729 1.479 1730 0.949 1731 0.694 1732 0.865 1733 0.81 1734 1.135 1735 0.546 1736 1.029 1737 1.373 1738 1.263 1739 1.285 1740 0.777 1741 0.951 1742 0.513 1743 1.436 1744 1.743 1745 0.983 1746 1.515 1747 1.769 1748 1.167 1749 0.939 1750 1.158 1751 0.856 1752 1.297 1753 0.781 1754 0.63 1755 0.517 1756 0.702 1757 1.547 1758 1.408 1759 0.811 1760 0.506 1761 1.089 1762 0.478 1763 1.401 1764 1.013 1765 1.391 1766 1.473 1767 1.397 1768 1.078 1769 1.421 1770 0.517 1771 0.729 1772 0.711 1773 0.356 1774 1.273 1775 1.158 1776 1.004 1777 1.505 1778 1.199 1779 0.342 1780 1.055 1781 0.984 1782 1.409 1783 0.864 1784 1.442 1785 1.203 1786 0.976 1787 1.265 1788 1.423 1789 1.72 1790 1.453 1791 0.585 1792 0.776 1793 1.135 1794 1.267 1795 1.05 1796 0.909 1797 0.998 1798 0.565 1799 0.35 1800 0.353 1801 0.756 1802 0.87 1803 1.205 1804 0.726 1805 0.819 1806 1.406 1807 0.383 1808 1.227 1809 1.144 1810 0.559 1811 0.597 1812 0.167 1813 0.234 1814 0.635 1815 0.494 1816 0.559 1817 0.563 1818 0.7 1819 0.404 1820 0.423 1821 0.496 1822 0.857 1823 0.453 1824 0.568 1825 0.377 1826 0.418 1827 0.723 1828 1.099 1829 0.754 1830 0.162 1831 0.878 1832 0.535 1833 0.196 1834 0.72 1835 0.879 1836 0.698 1837 0.297 1838 0.36 1839 0.615 1840 0.837 1841 0.885 1842 0.843 1843 0.726 1844 0.538 1845 0.836 1846 0.733 1847 0.382 1848 0.331 1849 0.48 1850 0.889 1851 0.628 1852 1.208 1853 0.686 1854 0.781 1855 0.731 1856 1.055 1857 1.293 1858 1.11 1859 1.012 1860 1.514 1861 1.446 1862 1.317 1863 0.732 1864 1.186 1865 1.517 1866 0.443 1867 0.937 1868 1.525 1869 0.589 1870 0.443 1871 0.926 1872 1.133 1873 0.519 1874 0.773 1875 1.151 1876 0.743 1877 1.41 1878 1.415 1879 1.327 1880 1.472 1881 1.339 1882 1.421 1883 1.707 1884 0.934 1885 0.904 1886 0.362 1887 1.185 1888 1.298 1889 0.646 1890 0.668 1891 1.488 1892 1.075 1893 0.575 1894 1.596 1895 1.273 1896 1.316 1897 0.774 1898 0.758 1899 0.601 1900 0.319 1901 1.226 1902 1.702 1903 0.743 1904 0.64 1905 0.627 1906 0.813 1907 0.763 1908 1.354 1909 1.121 1910 0.812 1911 0.98 1912 0.201 1913 0.813 1914 1.714 1915 1.33 1916 1.465 1917 1.163 1918 1.165 1919 1.286 1920 1.164 1921 0.703 1922 1.055 1923 0.758 1924 0.987 1925 0.63 1926 1.194 1927 0.701 1928 1.097 1929 0.891 1930 1.043 1931 1.178 1932 1.484 1933 1.17 1934 1.011 1935 1.289 1936 1.179 1937 1.12 1938 1.484 1939 1.325 1940 1.878 1941 1.31 1942 1.65 1943 1.456 1944 0.914 1945 1.647 1946 1.252 1947 0.355 1948 1.562 1949 0.527 1950 0.537 1951 1.02 1952 0.997 1953 1.238 1954 0.894 1955 1.45 1956 1.563 1957 1.041 1958 1.021 1959 1.203 1960 1.251 1961 1.376 1962 0.848 1963 0.706 1964 1.326 1965 0.805 1966 1.238 1967 1.584 1968 0.855 1969 1.033 1970 1.072 1971 0.509 1972 0.73 1973 0.571 1974 0.662 1975 0.877 1976 0.885 1977 0.444 1978 0.509 1979 1.484 1980 0.225 1981 0.977 1982 0.909 1983 0.689 1984 0.999 1985 0.51 1986 1.043 1987 0.698 1988 1.021 1989 0.235 1990 0.879