# asia_russ037w - Kheygiyakha 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/4467 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: asia_russ037w - Kheygiyakha 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: Kheygiyakha River # Location: # Country: Russia # Northernmost_Latitude: 65.5 # Southernmost_Latitude: 65.5 # Easternmost_Longitude: 72.65 # Westernmost_Longitude: 72.65 # Elevation: 100 m #-------------------- # Data_Collection # Collection_Name: asia_russ037wB # Earliest_Year: 1805 # Most_Recent_Year: 1990 # Time_Unit: y_ad # Core_Length: # Notes: {"database":{"database1":"LMR","database2":"Breits"}} {"climateInterpretation":{"basis":"", "climateVariable":"M", "climateVariableDetail":"air", "interpDirection":"positive", "seasonality":"[6, 7, 8]"}}{"VSLite_parameters":{"T1":"3.00206911049","T2":"13.6250281357","M1":"0.0233149821812","M2":"0.574036967041"}} #-------------------- # Species # Species_Name: Siberian spruce # Species_Code: PCOB #-------------------- # 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 1805 0.722 1806 0.57 1807 1.035 1808 1.013 1809 1.171 1810 0.828 1811 0.557 1812 0.954 1813 0.868 1814 0.957 1815 0.735 1816 0.557 1817 0.605 1818 0.585 1819 0.538 1820 0.504 1821 0.595 1822 0.387 1823 0.782 1824 0.912 1825 0.75 1826 0.768 1827 0.737 1828 0.677 1829 0.978 1830 0.993 1831 0.922 1832 0.945 1833 0.853 1834 1.11 1835 1.151 1836 1.078 1837 0.989 1838 0.828 1839 0.609 1840 1.116 1841 0.822 1842 0.884 1843 0.733 1844 0.773 1845 0.884 1846 0.927 1847 0.884 1848 0.829 1849 0.92 1850 0.855 1851 0.93 1852 1.118 1853 1.352 1854 1.091 1855 1.109 1856 1.381 1857 1.218 1858 1.162 1859 1.344 1860 1.347 1861 1.74 1862 0.939 1863 1.489 1864 1.226 1865 1.124 1866 1.063 1867 0.908 1868 0.779 1869 0.804 1870 0.966 1871 1.01 1872 1.105 1873 1.025 1874 1.395 1875 1.216 1876 1.137 1877 1.265 1878 1.697 1879 1.6 1880 1.776 1881 1.292 1882 1.335 1883 1.315 1884 1.504 1885 1.513 1886 1.202 1887 0.958 1888 1.131 1889 1.078 1890 1.243 1891 1.233 1892 1.465 1893 1.316 1894 1.248 1895 0.974 1896 1.08 1897 1.089 1898 1.285 1899 0.82 1900 1.333 1901 1.064 1902 1.207 1903 1.08 1904 1.288 1905 1.167 1906 1.158 1907 0.906 1908 1.014 1909 1.169 1910 0.82 1911 1.045 1912 0.931 1913 0.881 1914 0.695 1915 1.015 1916 0.496 1917 0.759 1918 1.074 1919 0.81 1920 0.905 1921 0.859 1922 0.876 1923 0.792 1924 0.864 1925 0.832 1926 0.925 1927 0.736 1928 0.785 1929 0.76 1930 0.714 1931 0.631 1932 0.43 1933 0.621 1934 0.449 1935 0.541 1936 0.61 1937 0.623 1938 0.757 1939 0.729 1940 0.608 1941 0.46 1942 1.015 1943 1.014 1944 0.865 1945 0.965 1946 0.791 1947 0.589 1948 0.887 1949 0.742 1950 0.803 1951 0.538 1952 0.716 1953 0.738 1954 0.977 1955 1.127 1956 1.137 1957 0.98 1958 0.97 1959 1.342 1960 1.064 1961 1.039 1962 0.944 1963 1.164 1964 1.217 1965 1.25 1966 1.188 1967 1.227 1968 1.128 1969 1.21 1970 0.995 1971 1.0 1972 1.109 1973 1.182 1974 0.956 1975 0.705 1976 0.822 1977 0.728 1978 0.813 1979 0.896 1980 0.716 1981 0.796 1982 0.791 1983 1.016 1984 0.969 1985 0.825 1986 1.15 1987 1.015 1988 0.991 1989 1.158 1990 1.033