# asia_russ155w - Under Vangapur River A - 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/4704 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: asia_russ155w - Under Vangapur River A - 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: Under Vangapur River A # Location: # Country: Russia # Northernmost_Latitude: 62.93 # Southernmost_Latitude: 62.93 # Easternmost_Longitude: 76.38 # Westernmost_Longitude: 76.38 # Elevation: 180 m #-------------------- # Data_Collection # Collection_Name: asia_russ155wB # Earliest_Year: 1802 # Most_Recent_Year: 1994 # 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":"5.64621858511","T2":"19.8653754923","M1":"0.0223386209769","M2":"0.267640461298"}} #-------------------- # 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 1802 0.711 1803 0.963 1804 1.129 1805 0.905 1806 1.019 1807 1.324 1808 1.328 1809 1.29 1810 0.966 1811 0.937 1812 1.084 1813 0.905 1814 1.098 1815 1.0 1816 0.559 1817 0.742 1818 0.703 1819 0.458 1820 0.791 1821 0.888 1822 1.006 1823 0.982 1824 1.412 1825 1.083 1826 0.88 1827 1.168 1828 0.755 1829 0.969 1830 1.204 1831 0.949 1832 1.196 1833 0.993 1834 0.752 1835 0.906 1836 0.778 1837 0.783 1838 0.965 1839 0.957 1840 1.284 1841 0.931 1842 0.944 1843 1.157 1844 1.151 1845 1.195 1846 1.065 1847 1.088 1848 1.34 1849 1.375 1850 1.201 1851 0.758 1852 0.963 1853 1.178 1854 1.166 1855 1.103 1856 1.194 1857 1.126 1858 1.197 1859 1.318 1860 1.223 1861 1.343 1862 0.733 1863 0.938 1864 1.086 1865 0.918 1866 1.094 1867 0.906 1868 1.222 1869 1.181 1870 0.903 1871 1.243 1872 0.989 1873 0.617 1874 0.779 1875 0.743 1876 0.801 1877 0.661 1878 0.758 1879 0.924 1880 1.014 1881 0.756 1882 0.489 1883 0.542 1884 0.606 1885 0.512 1886 0.919 1887 0.721 1888 0.759 1889 0.726 1890 0.571 1891 0.671 1892 0.698 1893 1.058 1894 0.992 1895 1.152 1896 1.06 1897 1.011 1898 0.954 1899 0.898 1900 1.314 1901 1.295 1902 0.798 1903 0.606 1904 0.733 1905 0.901 1906 0.854 1907 0.932 1908 1.114 1909 1.465 1910 1.081 1911 1.276 1912 1.093 1913 0.852 1914 0.622 1915 0.848 1916 0.659 1917 0.778 1918 1.154 1919 0.918 1920 0.77 1921 1.066 1922 1.122 1923 0.934 1924 1.076 1925 1.021 1926 0.793 1927 0.654 1928 0.861 1929 1.11 1930 1.045 1931 1.017 1932 1.058 1933 1.049 1934 0.596 1935 0.641 1936 0.755 1937 0.742 1938 0.92 1939 1.073 1940 0.997 1941 0.614 1942 0.958 1943 1.122 1944 1.178 1945 1.177 1946 1.074 1947 0.641 1948 1.404 1949 0.849 1950 0.728 1951 0.834 1952 0.93 1953 0.608 1954 0.59 1955 0.758 1956 1.012 1957 1.055 1958 1.059 1959 1.089 1960 0.821 1961 0.88 1962 1.151 1963 1.285 1964 1.245 1965 1.275 1966 1.452 1967 1.425 1968 1.681 1969 1.193 1970 1.313 1971 1.152 1972 1.068 1973 0.636 1974 1.003 1975 1.077 1976 1.312 1977 1.176 1978 1.38 1979 1.265 1980 1.095 1981 0.792 1982 1.211 1983 0.924 1984 1.042 1985 1.022 1986 1.111 1987 1.023 1988 1.333 1989 1.321 1990 1.168 1991 0.847 1992 1.112 1993 1.046 1994 1.264