# asia_russ136w - Jablonsky P. west 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/4443 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: asia_russ136w - Jablonsky P. west 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: Jablonsky P. west Altai # Location: # Country: Russia # Northernmost_Latitude: 50.87 # Southernmost_Latitude: 50.87 # Easternmost_Longitude: 85.23 # Westernmost_Longitude: 85.23 # Elevation: 1400 m #-------------------- # Data_Collection # Collection_Name: asia_russ136wB # Earliest_Year: 1766 # 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":"7.60859610575","T2":"19.6177018955","M1":"0.0225109676268","M2":"0.336309490287"}} #-------------------- # 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 1766 1.09 1767 1.127 1768 0.942 1769 0.766 1770 0.917 1771 1.119 1772 1.193 1773 1.245 1774 0.809 1775 1.115 1776 0.986 1777 1.265 1778 0.78 1779 1.024 1780 1.114 1781 1.168 1782 1.317 1783 0.99 1784 1.22 1785 1.105 1786 0.879 1787 1.169 1788 0.884 1789 0.982 1790 1.012 1791 0.878 1792 0.871 1793 0.84 1794 0.546 1795 0.491 1796 0.69 1797 0.732 1798 1.019 1799 0.886 1800 0.852 1801 0.887 1802 0.599 1803 0.932 1804 0.827 1805 1.07 1806 1.27 1807 1.358 1808 1.374 1809 1.436 1810 1.33 1811 1.299 1812 0.971 1813 0.854 1814 1.011 1815 1.229 1816 1.094 1817 0.994 1818 1.086 1819 1.23 1820 1.131 1821 1.25 1822 1.173 1823 0.785 1824 0.776 1825 1.041 1826 1.312 1827 1.195 1828 1.069 1829 1.096 1830 1.117 1831 0.976 1832 0.961 1833 1.067 1834 0.921 1835 0.868 1836 0.556 1837 0.284 1838 0.705 1839 0.722 1840 0.85 1841 1.066 1842 0.668 1843 0.538 1844 0.477 1845 0.328 1846 0.939 1847 1.034 1848 1.152 1849 0.815 1850 0.654 1851 1.048 1852 1.062 1853 1.286 1854 0.556 1855 1.015 1856 1.365 1857 1.724 1858 1.402 1859 1.695 1860 1.709 1861 1.649 1862 1.714 1863 1.304 1864 0.851 1865 0.439 1866 0.949 1867 0.96 1868 1.055 1869 0.536 1870 0.896 1871 0.598 1872 0.971 1873 0.712 1874 0.587 1875 0.517 1876 0.759 1877 0.684 1878 0.874 1879 1.233 1880 1.158 1881 0.926 1882 1.113 1883 1.238 1884 0.965 1885 0.978 1886 1.596 1887 1.23 1888 1.173 1889 0.416 1890 0.327 1891 0.446 1892 0.437 1893 0.438 1894 0.808 1895 0.862 1896 1.185 1897 1.32 1898 0.629 1899 0.567 1900 0.606 1901 1.127 1902 1.351 1903 1.081 1904 1.062 1905 1.555 1906 1.518 1907 1.72 1908 2.112 1909 1.88 1910 1.273 1911 0.983 1912 0.577 1913 0.675 1914 0.601 1915 0.632 1916 0.341 1917 0.192 1918 0.243 1919 0.345 1920 0.396 1921 0.622 1922 0.56 1923 0.48 1924 0.67 1925 0.617 1926 0.531 1927 0.656 1928 1.053 1929 1.12 1930 1.384 1931 1.229 1932 1.3 1933 1.118 1934 1.274 1935 1.412 1936 1.345 1937 1.061 1938 0.667 1939 0.99 1940 1.087 1941 1.227 1942 0.921 1943 0.076 1944 0.583 1945 0.784 1946 1.189 1947 1.171 1948 1.474 1949 1.009 1950 0.83 1951 0.666 1952 0.671 1953 0.835 1954 1.177 1955 1.506 1956 1.627 1957 1.625 1958 0.679 1959 0.984 1960 1.145 1961 0.89 1962 1.309 1963 1.681 1964 1.929 1965 1.502 1966 1.087 1967 0.759 1968 0.813 1969 0.924 1970 1.003 1971 0.74 1972 0.778 1973 0.812 1974 1.333 1975 1.242 1976 1.524 1977 1.429 1978 0.996 1979 1.381 1980 0.961 1981 0.919 1982 1.205 1983 1.226 1984 0.993 1985 0.532 1986 0.57 1987 0.826 1988 0.843 1989 1.016 1990 0.978 1991 1.16 1992 1.252 1993 0.706 1994 0.909