# asia_russ110w - Verchoyansk,Cakker river - 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/4714 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: asia_russ110w - Verchoyansk,Cakker river - 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: Verchoyansk,Cakker river # Location: # Country: Russia # Northernmost_Latitude: 67.83 # Southernmost_Latitude: 67.83 # Easternmost_Longitude: 130.83 # Westernmost_Longitude: 130.83 # Elevation: 750 m #-------------------- # Data_Collection # Collection_Name: asia_russ110wB # Earliest_Year: 1746 # Most_Recent_Year: 1991 # 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":"7.10506440872","T2":"18.462379247","M1":"0.021961191791","M2":"0.245968292188"}} #-------------------- # 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 1746 1.089 1747 1.257 1748 1.009 1749 0.999 1750 1.123 1751 1.138 1752 1.492 1753 1.634 1754 0.484 1755 1.695 1756 1.039 1757 1.92 1758 1.45 1759 1.544 1760 1.257 1761 1.413 1762 0.403 1763 1.76 1764 0.768 1765 1.936 1766 2.227 1767 0.987 1768 1.812 1769 1.242 1770 0.587 1771 1.076 1772 0.634 1773 1.14 1774 0.36 1775 1.09 1776 1.003 1777 1.117 1778 1.398 1779 0.844 1780 0.917 1781 1.287 1782 1.156 1783 1.367 1784 1.449 1785 1.156 1786 1.47 1787 1.036 1788 0.865 1789 1.402 1790 1.632 1791 0.482 1792 1.224 1793 1.434 1794 0.517 1795 1.336 1796 0.733 1797 0.972 1798 1.265 1799 1.202 1800 0.804 1801 0.43 1802 1.007 1803 1.033 1804 0.267 1805 0.3 1806 0.83 1807 0.621 1808 0.641 1809 0.44 1810 0.859 1811 0.911 1812 0.643 1813 0.204 1814 0.927 1815 0.865 1816 0.964 1817 0.234 1818 0.471 1819 0.593 1820 1.05 1821 0.547 1822 0.444 1823 0.27 1824 0.924 1825 0.312 1826 0.27 1827 0.526 1828 0.36 1829 0.647 1830 0.171 1831 0.487 1832 0.376 1833 0.429 1834 0.738 1835 0.706 1836 1.191 1837 0.392 1838 0.765 1839 0.271 1840 0.977 1841 1.149 1842 0.832 1843 1.303 1844 1.039 1845 1.263 1846 1.221 1847 1.031 1848 1.213 1849 0.734 1850 1.006 1851 0.485 1852 1.243 1853 0.789 1854 0.866 1855 1.157 1856 0.273 1857 0.442 1858 1.001 1859 0.746 1860 1.506 1861 1.277 1862 1.55 1863 0.488 1864 1.093 1865 0.853 1866 0.747 1867 0.817 1868 0.38 1869 0.999 1870 0.964 1871 1.081 1872 0.835 1873 1.072 1874 1.488 1875 1.052 1876 1.571 1877 0.693 1878 1.484 1879 1.625 1880 1.893 1881 2.301 1882 1.568 1883 1.909 1884 1.623 1885 2.039 1886 1.147 1887 0.83 1888 0.922 1889 0.83 1890 1.409 1891 0.85 1892 0.914 1893 1.092 1894 0.62 1895 1.403 1896 0.222 1897 1.0 1898 0.538 1899 0.641 1900 0.142 1901 0.816 1902 1.024 1903 0.767 1904 0.551 1905 0.586 1906 1.029 1907 1.105 1908 0.91 1909 0.948 1910 1.405 1911 1.155 1912 1.596 1913 0.597 1914 1.071 1915 0.283 1916 0.579 1917 0.922 1918 0.574 1919 0.702 1920 0.834 1921 0.928 1922 1.209 1923 0.325 1924 0.762 1925 0.723 1926 0.375 1927 0.623 1928 1.053 1929 0.905 1930 1.161 1931 1.004 1932 1.089 1933 1.713 1934 1.431 1935 0.628 1936 0.856 1937 1.086 1938 1.334 1939 1.166 1940 1.734 1941 1.126 1942 1.03 1943 0.259 1944 0.883 1945 0.757 1946 1.234 1947 1.203 1948 1.561 1949 1.432 1950 0.418 1951 0.694 1952 0.912 1953 0.78 1954 1.08 1955 1.336 1956 1.617 1957 0.789 1958 0.176 1959 0.901 1960 1.351 1961 1.497 1962 0.603 1963 0.981 1964 0.846 1965 0.772 1966 0.954 1967 1.104 1968 1.058 1969 1.1 1970 1.4 1971 0.798 1972 0.9 1973 1.204 1974 1.773 1975 1.5 1976 0.582 1977 1.132 1978 0.671 1979 0.859 1980 0.632 1981 1.134 1982 1.14 1983 0.921 1984 0.255 1985 0.371 1986 1.016 1987 1.081 1988 1.277 1989 0.818 1990 1.119 1991 0.884