# asia_russ156w - Karabatkak (Kirgistan) - 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/4454 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: asia_russ156w - Karabatkak (Kirgistan) - 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: Karabatkak (Kirgistan) # Location: # Country: Russia # Northernmost_Latitude: 42.18 # Southernmost_Latitude: 42.18 # Easternmost_Longitude: 78.18 # Westernmost_Longitude: 78.18 # Elevation: 2850 m #-------------------- # Data_Collection # Collection_Name: asia_russ156wB # Earliest_Year: 1795 # Most_Recent_Year: 1995 # 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":"3.44768148564","T2":"14.7282354439","M1":"0.0237040468108","M2":"0.540524811796"}} #-------------------- # Species # Species_Name: Shrenk's spruce # Species_Code: PCSH #-------------------- # 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 1795 1.407 1796 1.374 1797 1.233 1798 1.005 1799 0.961 1800 0.781 1801 1.126 1802 0.826 1803 1.069 1804 1.26 1805 1.029 1806 0.979 1807 0.978 1808 0.654 1809 0.681 1810 0.68 1811 0.721 1812 0.85 1813 0.911 1814 0.941 1815 0.842 1816 0.908 1817 0.912 1818 1.012 1819 0.845 1820 0.755 1821 0.84 1822 0.941 1823 0.872 1824 1.015 1825 0.963 1826 1.106 1827 1.03 1828 0.99 1829 0.495 1830 0.696 1831 0.769 1832 0.776 1833 0.773 1834 0.926 1835 0.794 1836 0.975 1837 1.012 1838 0.955 1839 0.817 1840 0.881 1841 1.075 1842 0.994 1843 0.937 1844 0.472 1845 0.684 1846 0.947 1847 0.79 1848 0.81 1849 0.775 1850 0.582 1851 0.814 1852 0.857 1853 0.911 1854 0.889 1855 0.877 1856 0.908 1857 0.776 1858 0.706 1859 0.867 1860 1.1 1861 1.039 1862 1.197 1863 1.227 1864 0.883 1865 0.92 1866 1.09 1867 1.019 1868 1.064 1869 1.132 1870 1.206 1871 0.968 1872 1.134 1873 0.817 1874 0.961 1875 1.072 1876 1.236 1877 1.111 1878 1.132 1879 0.871 1880 0.822 1881 1.055 1882 1.211 1883 1.202 1884 0.953 1885 0.787 1886 1.311 1887 0.97 1888 1.17 1889 1.081 1890 1.071 1891 0.891 1892 1.003 1893 1.159 1894 0.917 1895 0.651 1896 0.965 1897 1.027 1898 0.889 1899 1.089 1900 0.922 1901 0.927 1902 1.064 1903 1.255 1904 0.94 1905 0.999 1906 1.071 1907 0.835 1908 1.059 1909 0.884 1910 1.066 1911 0.897 1912 0.902 1913 1.167 1914 1.027 1915 1.008 1916 1.184 1917 0.517 1918 0.679 1919 1.132 1920 1.151 1921 1.173 1922 1.025 1923 0.912 1924 1.258 1925 1.291 1926 1.389 1927 0.982 1928 1.225 1929 1.018 1930 1.092 1931 1.131 1932 0.974 1933 1.188 1934 1.058 1935 1.181 1936 1.277 1937 1.372 1938 0.953 1939 1.249 1940 1.023 1941 1.257 1942 1.341 1943 1.281 1944 1.009 1945 0.798 1946 0.804 1947 0.811 1948 0.956 1949 0.753 1950 1.072 1951 1.005 1952 1.263 1953 1.171 1954 0.994 1955 1.324 1956 1.285 1957 1.044 1958 1.187 1959 1.208 1960 1.093 1961 0.885 1962 0.984 1963 0.889 1964 0.965 1965 0.811 1966 1.136 1967 1.022 1968 1.22 1969 1.082 1970 1.159 1971 1.201 1972 0.786 1973 1.098 1974 0.756 1975 0.911 1976 0.849 1977 0.843 1978 0.951 1979 0.717 1980 0.858 1981 0.888 1982 0.728 1983 0.964 1984 0.878 1985 0.708 1986 0.87 1987 0.914 1988 0.87 1989 0.889 1990 0.878 1991 0.929 1992 1.036 1993 1.119 1994 1.381 1995 1.19