# asia_russ083w - Sukkozero - 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/4666 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: asia_russ083w - Sukkozero - 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: Sukkozero # Location: # Country: Russia # Northernmost_Latitude: 63.38 # Southernmost_Latitude: 63.38 # Easternmost_Longitude: 32.32 # Westernmost_Longitude: 32.32 # Elevation: 210 m #-------------------- # Data_Collection # Collection_Name: asia_russ083wB # Earliest_Year: 1655 # Most_Recent_Year: 1992 # 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":"5.34920748769","T2":"18.1522007506","M1":"0.0228261065086","M2":"0.28993661002"}} #-------------------- # Species # Species_Name: Scots pine # Species_Code: PISY #-------------------- # 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 1655 1.273 1656 1.162 1657 1.128 1658 1.223 1659 1.278 1660 1.158 1661 0.937 1662 0.817 1663 0.71 1664 0.73 1665 0.689 1666 0.67 1667 0.564 1668 0.712 1669 0.704 1670 0.857 1671 1.026 1672 0.944 1673 1.1 1674 1.053 1675 0.941 1676 0.954 1677 0.893 1678 0.977 1679 0.929 1680 1.055 1681 1.286 1682 1.187 1683 1.029 1684 1.31 1685 0.948 1686 1.113 1687 1.008 1688 1.058 1689 1.082 1690 0.929 1691 1.164 1692 1.108 1693 1.158 1694 1.242 1695 1.091 1696 0.86 1697 1.035 1698 0.983 1699 0.726 1700 0.909 1701 0.963 1702 0.997 1703 0.86 1704 0.865 1705 1.029 1706 1.141 1707 1.099 1708 1.026 1709 0.981 1710 1.074 1711 1.198 1712 1.08 1713 1.141 1714 1.068 1715 1.051 1716 1.09 1717 1.1 1718 1.212 1719 1.08 1720 1.232 1721 1.041 1722 0.88 1723 1.034 1724 1.022 1725 1.09 1726 1.112 1727 1.112 1728 1.082 1729 1.125 1730 1.14 1731 0.97 1732 1.022 1733 1.138 1734 1.192 1735 1.112 1736 1.201 1737 1.081 1738 1.176 1739 1.069 1740 0.984 1741 0.838 1742 0.952 1743 1.197 1744 1.156 1745 1.104 1746 1.276 1747 1.235 1748 1.199 1749 1.063 1750 0.936 1751 0.992 1752 1.217 1753 1.239 1754 1.387 1755 1.342 1756 1.281 1757 1.379 1758 1.154 1759 1.207 1760 1.132 1761 1.156 1762 1.219 1763 1.17 1764 0.948 1765 0.826 1766 0.667 1767 0.681 1768 0.701 1769 0.655 1770 0.556 1771 0.558 1772 0.61 1773 0.569 1774 0.831 1775 0.894 1776 0.705 1777 0.837 1778 0.907 1779 0.797 1780 1.006 1781 0.774 1782 0.915 1783 1.041 1784 0.906 1785 0.74 1786 0.669 1787 0.612 1788 0.812 1789 0.876 1790 0.579 1791 0.647 1792 0.754 1793 0.928 1794 0.816 1795 0.751 1796 0.843 1797 0.82 1798 0.775 1799 0.956 1800 0.815 1801 0.89 1802 0.969 1803 0.627 1804 0.566 1805 0.732 1806 0.454 1807 0.6 1808 0.731 1809 0.999 1810 0.842 1811 0.996 1812 1.077 1813 0.948 1814 1.078 1815 0.966 1816 0.859 1817 0.869 1818 0.982 1819 1.028 1820 0.774 1821 0.66 1822 0.871 1823 0.709 1824 0.614 1825 0.656 1826 0.93 1827 0.935 1828 0.677 1829 0.933 1830 0.786 1831 0.978 1832 0.742 1833 0.837 1834 0.894 1835 0.664 1836 0.466 1837 0.518 1838 0.635 1839 0.797 1840 0.784 1841 0.941 1842 0.825 1843 0.729 1844 0.621 1845 0.741 1846 0.79 1847 0.587 1848 0.723 1849 1.186 1850 1.33 1851 1.154 1852 1.007 1853 1.022 1854 1.061 1855 1.189 1856 1.13 1857 0.964 1858 1.065 1859 1.1 1860 1.046 1861 1.359 1862 1.016 1863 1.149 1864 1.292 1865 1.321 1866 1.104 1867 0.769 1868 0.899 1869 0.933 1870 0.854 1871 0.847 1872 0.754 1873 1.057 1874 0.948 1875 1.181 1876 0.929 1877 1.267 1878 1.238 1879 1.249 1880 1.011 1881 0.563 1882 1.113 1883 0.953 1884 1.086 1885 1.565 1886 1.596 1887 1.577 1888 1.368 1889 1.519 1890 1.661 1891 1.469 1892 1.325 1893 1.489 1894 1.354 1895 1.264 1896 1.434 1897 1.522 1898 1.443 1899 1.137 1900 1.229 1901 1.398 1902 1.064 1903 0.942 1904 0.928 1905 0.908 1906 0.726 1907 0.836 1908 0.924 1909 1.03 1910 0.946 1911 0.795 1912 1.193 1913 0.845 1914 1.268 1915 1.559 1916 1.375 1917 1.319 1918 1.066 1919 1.275 1920 1.258 1921 1.352 1922 1.47 1923 1.517 1924 1.486 1925 1.291 1926 0.961 1927 1.1 1928 0.831 1929 0.961 1930 1.132 1931 0.88 1932 0.947 1933 1.017 1934 1.13 1935 0.865 1936 0.841 1937 0.78 1938 0.831 1939 0.859 1940 0.798 1941 0.834 1942 0.576 1943 0.779 1944 0.835 1945 0.981 1946 0.855 1947 0.997 1948 0.861 1949 0.834 1950 0.87 1951 0.929 1952 0.778 1953 0.85 1954 1.106 1955 0.851 1956 0.71 1957 0.551 1958 0.594 1959 0.567 1960 0.589 1961 0.597 1962 0.584 1963 0.444 1964 0.65 1965 0.628 1966 0.643 1967 0.641 1968 0.71 1969 0.498 1970 0.733 1971 0.615 1972 0.662 1973 0.65 1974 0.827 1975 0.758 1976 0.655 1977 0.584 1978 0.704 1979 0.793 1980 0.678 1981 0.839 1982 0.726 1983 0.845 1984 0.789 1985 0.793 1986 0.76 1987 0.837 1988 1.091 1989 1.102 1990 1.03 1991 0.984 1992 0.799