# asia_russ052w - Verhnaja Toima B - 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/4717 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: asia_russ052w - Verhnaja Toima B - 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 B # 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_russ052wB # Earliest_Year: 1834 # 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":"7.11799670806","T2":"19.570757558","M1":"0.0228551266054","M2":"0.428010316864"}} #-------------------- # 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 1834 0.718 1835 0.786 1836 0.715 1837 0.918 1838 0.91 1839 1.166 1840 1.315 1841 0.966 1842 1.089 1843 1.088 1844 1.22 1845 0.934 1846 1.16 1847 0.883 1848 1.056 1849 1.108 1850 1.095 1851 0.96 1852 0.946 1853 1.065 1854 1.205 1855 1.142 1856 1.251 1857 0.999 1858 0.961 1859 0.998 1860 1.165 1861 1.183 1862 1.077 1863 0.994 1864 0.939 1865 0.707 1866 0.843 1867 0.644 1868 0.834 1869 0.773 1870 1.065 1871 1.055 1872 0.908 1873 0.946 1874 1.025 1875 1.088 1876 1.039 1877 0.924 1878 1.037 1879 0.97 1880 0.94 1881 0.902 1882 0.987 1883 0.908 1884 1.001 1885 1.172 1886 0.976 1887 1.109 1888 0.994 1889 1.171 1890 1.389 1891 1.231 1892 1.067 1893 1.18 1894 0.821 1895 0.709 1896 0.479 1897 0.395 1898 0.549 1899 0.665 1900 0.731 1901 0.791 1902 1.009 1903 0.577 1904 0.74 1905 0.909 1906 0.85 1907 0.899 1908 1.001 1909 0.994 1910 0.834 1911 0.944 1912 1.026 1913 0.925 1914 1.058 1915 1.118 1916 0.967 1917 1.039 1918 0.868 1919 0.963 1920 0.796 1921 0.817 1922 0.801 1923 0.519 1924 0.338 1925 0.199 1926 0.32 1927 0.547 1928 0.495 1929 0.73 1930 0.66 1931 0.632 1932 0.942 1933 1.081 1934 1.211 1935 1.211 1936 1.143 1937 1.572 1938 1.593 1939 1.688 1940 1.56 1941 1.573 1942 1.258 1943 1.507 1944 1.29 1945 1.455 1946 1.593 1947 1.743 1948 1.455 1949 1.64 1950 1.524 1951 1.419 1952 1.41 1953 1.319 1954 1.68 1955 1.506 1956 1.424 1957 1.61 1958 1.329 1959 1.264 1960 1.406 1961 1.271 1962 1.126 1963 0.922 1964 1.073 1965 0.942 1966 1.071 1967 0.983 1968 1.0 1969 0.699 1970 0.88 1971 0.745 1972 0.65 1973 0.714 1974 0.927 1975 0.706 1976 0.81 1977 0.768 1978 0.725 1979 0.685 1980 0.712 1981 0.661 1982 0.539 1983 0.568 1984 0.669 1985 0.678 1986 0.579 1987 0.647 1988 0.633 1989 0.645 1990 0.554