# asia_russ146w - Adycha river (bog) - 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/4302 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: asia_russ146w - Adycha river (bog) - 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: Adycha river (bog) # Location: # Country: Russia # Northernmost_Latitude: 65.8 # Southernmost_Latitude: 65.8 # Easternmost_Longitude: 137.25 # Westernmost_Longitude: 137.25 # Elevation: 800 m #-------------------- # Data_Collection # Collection_Name: asia_russ146wB # Earliest_Year: 1798 # Most_Recent_Year: 1991 # 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":"4.85190752803","T2":"19.8079101429","M1":"0.0214989319995","M2":"0.158241331241"}} #-------------------- # 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 1798 0.882 1799 0.912 1800 0.54 1801 0.662 1802 1.098 1803 0.618 1804 0.433 1805 0.774 1806 0.977 1807 1.006 1808 0.986 1809 1.058 1810 0.87 1811 0.673 1812 0.437 1813 0.255 1814 0.421 1815 0.365 1816 0.397 1817 0.265 1818 -0.117 1819 0.738 1820 0.672 1821 0.788 1822 0.35 1823 0.267 1824 0.65 1825 0.376 1826 0.751 1827 0.299 1828 0.438 1829 0.611 1830 0.417 1831 0.65 1832 0.414 1833 0.684 1834 0.736 1835 0.781 1836 0.975 1837 0.492 1838 0.579 1839 0.308 1840 0.507 1841 0.305 1842 0.47 1843 0.765 1844 0.692 1845 0.378 1846 0.565 1847 0.464 1848 0.615 1849 0.624 1850 0.518 1851 0.542 1852 0.293 1853 0.562 1854 0.491 1855 0.267 1856 0.647 1857 0.492 1858 0.955 1859 0.889 1860 1.117 1861 0.861 1862 0.668 1863 0.359 1864 0.656 1865 0.493 1866 1.083 1867 1.323 1868 1.236 1869 1.848 1870 1.42 1871 0.942 1872 1.05 1873 1.194 1874 1.18 1875 1.192 1876 0.825 1877 0.687 1878 1.034 1879 0.89 1880 1.261 1881 1.428 1882 0.523 1883 1.346 1884 1.119 1885 0.987 1886 0.757 1887 0.792 1888 0.541 1889 0.685 1890 0.633 1891 0.764 1892 1.032 1893 1.304 1894 1.385 1895 1.586 1896 1.484 1897 1.256 1898 1.315 1899 1.143 1900 0.847 1901 0.854 1902 0.746 1903 0.929 1904 0.922 1905 0.446 1906 1.082 1907 0.806 1908 1.069 1909 0.824 1910 1.251 1911 0.931 1912 1.628 1913 1.334 1914 1.003 1915 1.123 1916 1.451 1917 1.338 1918 1.297 1919 1.392 1920 0.882 1921 0.941 1922 1.144 1923 1.508 1924 1.409 1925 1.141 1926 1.136 1927 1.533 1928 1.72 1929 1.878 1930 2.37 1931 1.85 1932 1.937 1933 2.204 1934 1.695 1935 0.908 1936 1.423 1937 0.955 1938 1.293 1939 1.484 1940 1.557 1941 1.373 1942 1.276 1943 0.762 1944 1.003 1945 0.684 1946 1.193 1947 1.011 1948 1.232 1949 0.847 1950 0.563 1951 0.656 1952 0.452 1953 0.461 1954 0.71 1955 0.281 1956 0.489 1957 0.239 1958 0.155 1959 0.243 1960 0.342 1961 0.667 1962 0.437 1963 0.579 1964 0.618 1965 0.654 1966 0.828 1967 1.011 1968 0.901 1969 0.733 1970 1.301 1971 1.295 1972 0.911 1973 1.436 1974 1.61 1975 1.11 1976 0.424 1977 0.805 1978 0.8 1979 0.561 1980 0.517 1981 1.18 1982 0.625 1983 1.084 1984 1.0 1985 0.672 1986 1.291 1987 1.262 1988 0.843 1989 1.588 1990 1.048 1991 0.74