# asia_russ101w - Nadim 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/4549 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: asia_russ101w - Nadim 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: Nadim River # Location: # Country: Russia # Northernmost_Latitude: 66.22 # Southernmost_Latitude: 66.22 # Easternmost_Longitude: 71.67 # Westernmost_Longitude: 71.67 # Elevation: 80 m #-------------------- # Data_Collection # Collection_Name: asia_russ101wB # Earliest_Year: 1824 # 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":"6.80816035953","T2":"20.2236920575","M1":"0.0223826706738","M2":"0.217954094971"}} #-------------------- # 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 1824 0.951 1825 0.611 1826 0.816 1827 1.216 1828 0.82 1829 1.34 1830 1.339 1831 1.225 1832 0.983 1833 1.45 1834 1.173 1835 0.984 1836 0.8 1837 0.823 1838 0.816 1839 1.054 1840 1.16 1841 0.617 1842 1.133 1843 0.787 1844 1.292 1845 1.486 1846 1.022 1847 1.189 1848 1.402 1849 1.465 1850 1.393 1851 1.437 1852 1.072 1853 1.266 1854 1.244 1855 0.774 1856 1.124 1857 0.961 1858 0.752 1859 0.736 1860 0.573 1861 0.641 1862 0.46 1863 0.369 1864 0.244 1865 0.428 1866 0.588 1867 0.448 1868 0.887 1869 1.073 1870 1.857 1871 1.425 1872 1.162 1873 1.123 1874 1.038 1875 0.897 1876 0.722 1877 1.244 1878 1.335 1879 1.266 1880 0.87 1881 0.459 1882 0.276 1883 0.306 1884 0.208 1885 0.206 1886 0.377 1887 0.2 1888 0.267 1889 0.43 1890 0.873 1891 0.655 1892 0.781 1893 0.649 1894 0.857 1895 0.898 1896 1.217 1897 1.643 1898 2.048 1899 0.745 1900 1.452 1901 1.261 1902 1.401 1903 0.956 1904 1.245 1905 1.206 1906 1.433 1907 1.036 1908 1.014 1909 1.406 1910 0.991 1911 1.395 1912 0.935 1913 1.172 1914 0.895 1915 1.527 1916 0.863 1917 1.391 1918 1.517 1919 0.917 1920 1.319 1921 1.378 1922 1.626 1923 2.252 1924 1.886 1925 1.663 1926 2.123 1927 1.639 1928 1.775 1929 1.396 1930 1.253 1931 1.102 1932 0.829 1933 0.964 1934 0.672 1935 0.648 1936 0.652 1937 0.938 1938 0.931 1939 1.185 1940 0.892 1941 0.6 1942 0.887 1943 0.752 1944 0.958 1945 1.186 1946 1.01 1947 0.552 1948 1.13 1949 0.482 1950 0.639 1951 0.57 1952 0.865 1953 0.845 1954 1.164 1955 1.245 1956 1.239 1957 0.92 1958 0.919 1959 1.095 1960 0.977 1961 0.954 1962 0.57 1963 1.035 1964 0.97 1965 1.188 1966 0.842 1967 1.019 1968 0.621 1969 0.949 1970 0.555 1971 0.53 1972 0.576 1973 0.603 1974 0.663 1975 0.47 1976 0.513 1977 0.581 1978 0.723 1979 0.716 1980 0.515 1981 0.692 1982 0.672 1983 0.94 1984 0.982 1985 0.751 1986 0.801 1987 0.525 1988 0.633 1989 0.898 1990 0.638