# asia_russ015 - Tolbachek Volcano Kamchatka - 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/4768 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: asia_russ015 - Tolbachek Volcano Kamchatka - 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: Tolbachek Volcano Kamchatka # Location: # Country: Russia # Northernmost_Latitude: 55.82 # Southernmost_Latitude: 55.82 # Easternmost_Longitude: 160.17 # Westernmost_Longitude: 160.17 # Elevation: 750 m #-------------------- # Data_Collection # Collection_Name: asia_russ015B # Earliest_Year: 1823 # Most_Recent_Year: 1983 # 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":"2.85203313668","T2":"16.2465295186","M1":"0.0224964587484","M2":"0.424251801338"}} #-------------------- # 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 1823 0.684 1824 1.068 1825 0.938 1826 0.961 1827 0.905 1828 0.788 1829 0.974 1830 0.815 1831 1.013 1832 1.107 1833 0.868 1834 1.099 1835 0.911 1836 0.776 1837 0.682 1838 0.845 1839 0.987 1840 1.305 1841 1.432 1842 0.785 1843 0.706 1844 0.862 1845 0.772 1846 0.972 1847 0.794 1848 0.419 1849 0.854 1850 0.812 1851 1.455 1852 0.891 1853 0.951 1854 1.047 1855 0.985 1856 0.577 1857 0.857 1858 1.322 1859 1.212 1860 0.877 1861 0.855 1862 0.835 1863 0.974 1864 0.649 1865 0.618 1866 0.97 1867 0.35 1868 0.922 1869 0.88 1870 0.644 1871 1.011 1872 1.015 1873 0.875 1874 1.507 1875 1.076 1876 0.739 1877 0.519 1878 0.831 1879 0.812 1880 1.175 1881 0.934 1882 1.137 1883 0.995 1884 1.092 1885 0.363 1886 0.58 1887 0.446 1888 0.614 1889 0.915 1890 1.045 1891 0.886 1892 1.115 1893 0.745 1894 0.951 1895 0.891 1896 0.958 1897 0.912 1898 1.203 1899 1.673 1900 1.823 1901 1.29 1902 1.171 1903 1.14 1904 0.74 1905 0.976 1906 1.213 1907 1.213 1908 1.162 1909 1.171 1910 1.342 1911 0.768 1912 0.763 1913 0.757 1914 1.039 1915 0.821 1916 1.214 1917 0.981 1918 0.701 1919 0.55 1920 1.106 1921 0.907 1922 1.205 1923 1.155 1924 1.255 1925 1.293 1926 0.667 1927 0.541 1928 1.183 1929 1.366 1930 1.175 1931 1.333 1932 1.198 1933 1.056 1934 1.187 1935 1.2 1936 1.25 1937 0.809 1938 1.058 1939 1.237 1940 0.867 1941 0.858 1942 0.953 1943 0.936 1944 0.764 1945 0.751 1946 0.784 1947 0.354 1948 1.022 1949 0.891 1950 0.721 1951 0.792 1952 0.592 1953 0.652 1954 1.14 1955 0.942 1956 1.007 1957 0.963 1958 1.321 1959 1.146 1960 1.116 1961 1.239 1962 1.45 1963 1.437 1964 1.823 1965 1.032 1966 1.515 1967 0.826 1968 0.897 1969 0.942 1970 1.026 1971 0.894 1972 0.671 1973 0.67 1974 0.959 1975 0.874 1976 0.658 1977 0.946 1978 1.135 1979 1.012 1980 1.25 1981 1.274 1982 0.598 1983 1.365