# asia_russ051w - Verhnaja Toima - 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/4716 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: asia_russ051w - Verhnaja Toima - 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: Verhnaja Toima # Location: # Country: Russia # Northernmost_Latitude: 62.17 # Southernmost_Latitude: 62.17 # Easternmost_Longitude: 44.42 # Westernmost_Longitude: 44.42 # Elevation: 60 m #-------------------- # Data_Collection # Collection_Name: asia_russ051wB # Earliest_Year: 1796 # 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":"5.50173447263","T2":"16.146870833","M1":"0.0224873708826","M2":"0.449529651602"}} #-------------------- # 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 1796 0.636 1797 0.637 1798 0.92 1799 0.676 1800 0.714 1801 0.671 1802 0.491 1803 0.46 1804 0.57 1805 0.736 1806 0.612 1807 0.406 1808 0.595 1809 0.745 1810 0.47 1811 0.403 1812 0.651 1813 0.533 1814 0.397 1815 0.394 1816 0.433 1817 0.351 1818 0.387 1819 0.342 1820 0.774 1821 0.977 1822 0.905 1823 0.52 1824 0.69 1825 0.793 1826 1.081 1827 1.09 1828 1.119 1829 1.173 1830 1.088 1831 1.311 1832 1.271 1833 1.077 1834 0.833 1835 0.818 1836 0.941 1837 1.087 1838 0.83 1839 0.903 1840 1.206 1841 1.118 1842 0.983 1843 0.95 1844 1.224 1845 0.924 1846 1.114 1847 1.137 1848 1.491 1849 1.444 1850 1.438 1851 1.083 1852 0.963 1853 1.518 1854 1.887 1855 1.666 1856 1.492 1857 1.082 1858 1.029 1859 1.287 1860 1.638 1861 1.733 1862 1.709 1863 1.596 1864 1.407 1865 1.061 1866 1.182 1867 0.896 1868 0.882 1869 0.991 1870 1.176 1871 1.242 1872 1.063 1873 1.094 1874 1.114 1875 1.48 1876 1.166 1877 1.131 1878 1.332 1879 1.298 1880 1.017 1881 0.769 1882 0.935 1883 0.985 1884 1.282 1885 1.706 1886 1.583 1887 2.092 1888 1.978 1889 1.8 1890 1.927 1891 1.52 1892 1.283 1893 1.069 1894 0.713 1895 0.585 1896 0.526 1897 0.412 1898 0.605 1899 0.595 1900 0.715 1901 0.792 1902 0.941 1903 0.623 1904 0.805 1905 0.845 1906 0.658 1907 0.683 1908 0.745 1909 0.799 1910 0.578 1911 0.676 1912 0.668 1913 0.575 1914 0.662 1915 0.957 1916 0.977 1917 1.151 1918 0.913 1919 0.956 1920 0.837 1921 0.906 1922 1.148 1923 1.273 1924 1.422 1925 1.392 1926 0.879 1927 1.196 1928 0.882 1929 0.977 1930 0.832 1931 0.599 1932 0.74 1933 0.826 1934 1.109 1935 1.116 1936 0.973 1937 1.112 1938 1.35 1939 1.309 1940 1.368 1941 1.079 1942 0.86 1943 1.154 1944 0.856 1945 0.814 1946 0.981 1947 0.967 1948 1.185 1949 1.257 1950 0.866 1951 0.782 1952 0.782 1953 0.672 1954 0.813 1955 0.742 1956 0.734 1957 0.807 1958 0.738 1959 0.674 1960 0.699 1961 0.727 1962 0.549 1963 0.536 1964 0.842 1965 0.723 1966 0.848 1967 0.511 1968 0.59 1969 0.562 1970 0.738 1971 0.679 1972 0.641 1973 0.667 1974 0.976 1975 0.657 1976 0.948 1977 1.023 1978 1.107 1979 1.108 1980 1.029 1981 1.115 1982 0.636 1983 0.554 1984 0.99 1985 0.823 1986 0.527 1987 0.617 1988 0.714 1989 0.737 1990 0.921