# asia_russ033w - Yevoyakha 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/4745 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: asia_russ033w - Yevoyakha 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: Yevoyakha River # Location: # Country: Russia # Northernmost_Latitude: 66.08 # Southernmost_Latitude: 66.08 # Easternmost_Longitude: 77.68 # Westernmost_Longitude: 77.68 # Elevation: 30 m #-------------------- # Data_Collection # Collection_Name: asia_russ033wB # Earliest_Year: 1811 # 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":"6.28502256567","T2":"19.3238427685","M1":"0.0223963277054","M2":"0.271124452991"}} #-------------------- # Species # Species_Name: Siberian spruce # Species_Code: PCOB #-------------------- # 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 1811 0.652 1812 0.723 1813 0.818 1814 1.074 1815 0.788 1816 0.798 1817 0.798 1818 0.636 1819 0.612 1820 0.627 1821 0.513 1822 0.591 1823 1.054 1824 0.816 1825 0.762 1826 0.913 1827 0.764 1828 0.753 1829 0.71 1830 0.608 1831 0.918 1832 0.901 1833 0.839 1834 0.914 1835 1.205 1836 0.875 1837 0.843 1838 1.038 1839 0.929 1840 1.368 1841 0.883 1842 1.294 1843 0.976 1844 1.375 1845 1.627 1846 1.325 1847 1.388 1848 1.571 1849 1.31 1850 1.288 1851 1.421 1852 1.233 1853 1.637 1854 1.459 1855 1.116 1856 1.469 1857 1.365 1858 1.31 1859 1.271 1860 1.046 1861 1.437 1862 0.905 1863 0.993 1864 0.531 1865 0.594 1866 0.669 1867 0.374 1868 1.023 1869 0.744 1870 1.189 1871 1.114 1872 1.153 1873 1.233 1874 1.08 1875 1.027 1876 1.003 1877 1.015 1878 1.381 1879 1.184 1880 1.366 1881 0.808 1882 0.672 1883 0.878 1884 0.547 1885 0.566 1886 0.625 1887 0.347 1888 0.374 1889 0.404 1890 0.568 1891 0.413 1892 0.711 1893 0.69 1894 0.676 1895 0.532 1896 0.669 1897 0.886 1898 1.123 1899 0.774 1900 1.146 1901 0.889 1902 1.215 1903 1.087 1904 1.186 1905 1.075 1906 1.166 1907 0.716 1908 1.044 1909 1.339 1910 1.138 1911 1.349 1912 0.913 1913 1.388 1914 0.94 1915 1.228 1916 0.719 1917 0.911 1918 1.249 1919 1.013 1920 1.104 1921 1.322 1922 1.374 1923 1.301 1924 1.114 1925 1.066 1926 1.538 1927 1.057 1928 1.262 1929 1.161 1930 1.052 1931 1.089 1932 0.807 1933 0.778 1934 0.413 1935 0.961 1936 0.931 1937 0.909 1938 0.919 1939 0.865 1940 0.665 1941 0.576 1942 1.155 1943 0.898 1944 1.125 1945 1.285 1946 1.124 1947 0.983 1948 1.332 1949 1.138 1950 1.322 1951 0.83 1952 1.07 1953 1.2 1954 1.123 1955 1.377 1956 1.404 1957 1.034 1958 1.158 1959 1.294 1960 0.866 1961 0.855 1962 0.85 1963 0.861 1964 0.865 1965 1.081 1966 0.744 1967 0.997 1968 0.702 1969 0.949 1970 0.711 1971 0.684 1972 0.732 1973 0.644 1974 0.67 1975 0.691 1976 0.751 1977 0.809 1978 0.843 1979 0.881 1980 0.638 1981 0.911 1982 0.868 1983 0.997 1984 0.994 1985 0.81 1986 0.987 1987 1.017 1988 1.02 1989 1.221 1990 0.889