# asia_russ140w - Kirisky Pass (Altai) - 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/4470 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: asia_russ140w - Kirisky Pass (Altai) - 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: Kirisky Pass (Altai) # Location: # Country: Russia # Northernmost_Latitude: 50.65 # Southernmost_Latitude: 50.65 # Easternmost_Longitude: 84.98 # Westernmost_Longitude: 84.98 # Elevation: 1500 m #-------------------- # Data_Collection # Collection_Name: asia_russ140wB # Earliest_Year: 1745 # Most_Recent_Year: 1994 # 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":"8.16701495058","T2":"19.6589707071","M1":"0.0225863352675","M2":"0.337939540229"}} #-------------------- # Species # Species_Name: Siberian larch # Species_Code: LASI #-------------------- # 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 1745 0.888 1746 0.77 1747 0.611 1748 0.842 1749 1.185 1750 1.024 1751 1.042 1752 0.856 1753 1.161 1754 0.976 1755 0.663 1756 1.144 1757 1.09 1758 0.749 1759 1.104 1760 0.835 1761 0.721 1762 0.915 1763 1.404 1764 1.262 1765 1.299 1766 1.258 1767 1.383 1768 0.882 1769 0.679 1770 0.78 1771 1.174 1772 1.345 1773 1.356 1774 0.811 1775 0.768 1776 0.741 1777 0.985 1778 0.766 1779 0.963 1780 0.912 1781 1.137 1782 1.254 1783 0.944 1784 1.204 1785 1.079 1786 1.039 1787 1.491 1788 1.205 1789 1.156 1790 1.229 1791 1.12 1792 1.073 1793 0.953 1794 0.462 1795 0.448 1796 0.545 1797 0.663 1798 1.033 1799 0.999 1800 1.05 1801 0.834 1802 0.42 1803 0.759 1804 0.615 1805 0.978 1806 1.227 1807 1.229 1808 1.379 1809 1.418 1810 1.434 1811 1.524 1812 1.194 1813 1.138 1814 1.051 1815 1.526 1816 1.363 1817 1.138 1818 1.239 1819 0.634 1820 0.577 1821 0.814 1822 0.919 1823 0.53 1824 0.953 1825 1.182 1826 0.863 1827 0.658 1828 0.918 1829 1.032 1830 1.141 1831 1.409 1832 1.315 1833 1.229 1834 1.128 1835 0.7 1836 0.598 1837 0.885 1838 1.116 1839 1.131 1840 1.062 1841 0.793 1842 0.432 1843 0.444 1844 0.532 1845 0.321 1846 0.967 1847 0.843 1848 0.899 1849 0.527 1850 0.057 1851 0.348 1852 0.272 1853 0.574 1854 0.301 1855 0.737 1856 1.132 1857 1.63 1858 0.889 1859 0.507 1860 0.947 1861 0.914 1862 0.909 1863 0.761 1864 0.855 1865 0.667 1866 1.352 1867 1.288 1868 1.403 1869 0.921 1870 1.224 1871 0.792 1872 1.352 1873 1.235 1874 0.721 1875 0.511 1876 0.736 1877 0.799 1878 0.934 1879 1.319 1880 1.676 1881 1.412 1882 1.463 1883 1.149 1884 0.453 1885 1.096 1886 1.504 1887 1.074 1888 1.131 1889 0.77 1890 0.154 1891 0.384 1892 0.441 1893 0.361 1894 0.594 1895 0.674 1896 0.907 1897 1.151 1898 0.879 1899 0.809 1900 0.766 1901 1.217 1902 1.478 1903 1.108 1904 1.098 1905 1.34 1906 1.549 1907 1.496 1908 1.424 1909 0.795 1910 0.483 1911 0.589 1912 0.564 1913 0.428 1914 0.568 1915 0.572 1916 0.603 1917 0.313 1918 0.73 1919 0.842 1920 1.08 1921 1.496 1922 1.354 1923 1.196 1924 1.042 1925 1.021 1926 0.892 1927 0.927 1928 1.505 1929 1.282 1930 1.29 1931 1.251 1932 1.317 1933 1.053 1934 1.497 1935 1.379 1936 1.25 1937 1.261 1938 0.649 1939 0.792 1940 0.938 1941 1.221 1942 1.221 1943 0.439 1944 0.901 1945 1.071 1946 1.187 1947 0.603 1948 0.778 1949 0.972 1950 0.777 1951 0.561 1952 0.76 1953 0.792 1954 1.1 1955 1.308 1956 1.634 1957 1.771 1958 0.861 1959 1.191 1960 0.866 1961 0.506 1962 1.045 1963 1.249 1964 1.283 1965 1.068 1966 1.002 1967 0.831 1968 1.072 1969 1.068 1970 0.825 1971 0.733 1972 0.759 1973 0.833 1974 1.29 1975 1.079 1976 1.729 1977 1.555 1978 1.455 1979 2.015 1980 1.082 1981 0.756 1982 1.221 1983 1.325 1984 1.08 1985 0.656 1986 0.597 1987 0.887 1988 0.811 1989 0.913 1990 0.815 1991 1.175 1992 1.506 1993 0.922 1994 0.942