# asia_russ122w - Malchoyakha 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/4519 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: asia_russ122w - Malchoyakha 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: Malchoyakha River # Location: # Country: Russia # Northernmost_Latitude: 66.08 # Southernmost_Latitude: 66.08 # Easternmost_Longitude: 77.68 # Westernmost_Longitude: 77.68 # Elevation: 50 m #-------------------- # Data_Collection # Collection_Name: asia_russ122wB # Earliest_Year: 1817 # 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":"7.25245008705","T2":"20.0760633706","M1":"0.0227484756124","M2":"0.250521808138"}} #-------------------- # Species # Species_Name: Siberian larch # Species_Code: LASI #-------------------- # 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 1817 0.555 1818 0.439 1819 0.37 1820 0.414 1821 0.351 1822 0.662 1823 0.868 1824 0.969 1825 0.506 1826 0.599 1827 1.384 1828 0.579 1829 1.547 1830 0.947 1831 1.088 1832 1.042 1833 0.382 1834 0.579 1835 0.866 1836 0.788 1837 0.838 1838 1.312 1839 1.571 1840 1.475 1841 0.906 1842 1.612 1843 0.771 1844 1.527 1845 1.996 1846 1.875 1847 1.652 1848 1.375 1849 1.508 1850 1.375 1851 1.521 1852 1.468 1853 1.529 1854 1.114 1855 0.814 1856 1.155 1857 1.086 1858 1.001 1859 1.189 1860 0.911 1861 1.409 1862 0.755 1863 1.237 1864 0.764 1865 0.922 1866 1.01 1867 0.255 1868 1.176 1869 0.811 1870 1.448 1871 1.163 1872 1.297 1873 1.094 1874 1.119 1875 1.143 1876 1.317 1877 1.297 1878 1.628 1879 1.398 1880 0.747 1881 0.444 1882 0.15 1883 0.484 1884 0.223 1885 0.311 1886 0.651 1887 0.523 1888 0.489 1889 0.6 1890 1.091 1891 0.637 1892 1.043 1893 0.922 1894 1.076 1895 0.822 1896 0.617 1897 0.892 1898 1.289 1899 0.632 1900 1.523 1901 1.086 1902 1.509 1903 1.071 1904 0.946 1905 0.988 1906 1.14 1907 0.653 1908 0.878 1909 1.316 1910 1.105 1911 1.152 1912 0.793 1913 0.799 1914 0.421 1915 1.048 1916 0.526 1917 0.846 1918 1.018 1919 0.894 1920 1.005 1921 1.419 1922 1.536 1923 1.902 1924 1.945 1925 1.25 1926 1.477 1927 0.945 1928 1.078 1929 1.188 1930 0.643 1931 0.442 1932 0.471 1933 0.813 1934 0.523 1935 0.659 1936 0.685 1937 0.776 1938 0.819 1939 0.826 1940 0.779 1941 0.489 1942 1.004 1943 1.028 1944 1.328 1945 1.532 1946 1.346 1947 0.628 1948 1.199 1949 0.805 1950 0.837 1951 0.565 1952 0.783 1953 0.931 1954 0.984 1955 1.626 1956 1.29 1957 1.204 1958 1.397 1959 1.571 1960 1.22 1961 1.247 1962 0.961 1963 1.161 1964 1.325 1965 1.244 1966 0.721 1967 1.15 1968 0.819 1969 1.145 1970 0.806 1971 0.733 1972 0.659 1973 0.516 1974 0.706 1975 0.532 1976 0.775 1977 0.793 1978 0.896 1979 1.058 1980 0.911 1981 0.98 1982 1.038 1983 1.184 1984 1.299 1985 1.271 1986 1.201 1987 0.908 1988 0.695 1989 1.019 1990 0.863