# asia_russ150w - Sarekungey (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/4626 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: asia_russ150w - Sarekungey (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: Sarekungey (Kirgistan) # Location: # Country: Russia # Northernmost_Latitude: 41.67 # Southernmost_Latitude: 41.67 # Easternmost_Longitude: 76.43 # Westernmost_Longitude: 76.43 # Elevation: 2800 m #-------------------- # Data_Collection # Collection_Name: asia_russ150wB # Earliest_Year: 1775 # 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":"2.72095590201","T2":"14.4065604251","M1":"0.0243230825599","M2":"0.541470325566"}} #-------------------- # 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 1775 0.724 1776 0.784 1777 0.963 1778 0.754 1779 1.018 1780 1.159 1781 1.244 1782 0.841 1783 1.093 1784 1.062 1785 1.108 1786 0.904 1787 0.793 1788 0.908 1789 0.99 1790 0.881 1791 1.071 1792 1.242 1793 1.091 1794 1.424 1795 1.243 1796 1.094 1797 1.053 1798 0.709 1799 0.778 1800 0.88 1801 0.909 1802 0.651 1803 1.095 1804 1.249 1805 1.041 1806 1.017 1807 1.11 1808 0.928 1809 0.99 1810 0.877 1811 0.918 1812 0.9 1813 1.094 1814 1.168 1815 1.017 1816 1.093 1817 1.083 1818 1.06 1819 0.839 1820 0.871 1821 1.036 1822 0.866 1823 0.932 1824 1.032 1825 1.114 1826 1.114 1827 1.045 1828 1.059 1829 1.09 1830 0.826 1831 0.984 1832 0.92 1833 0.865 1834 1.038 1835 0.835 1836 0.618 1837 0.841 1838 1.144 1839 1.07 1840 1.152 1841 1.169 1842 1.178 1843 1.207 1844 0.723 1845 1.082 1846 1.245 1847 1.048 1848 0.985 1849 1.084 1850 0.903 1851 1.173 1852 1.185 1853 1.302 1854 1.229 1855 1.145 1856 1.206 1857 0.862 1858 0.73 1859 0.72 1860 1.079 1861 0.851 1862 0.727 1863 0.882 1864 0.759 1865 0.801 1866 0.958 1867 0.86 1868 0.881 1869 1.085 1870 1.22 1871 1.044 1872 0.666 1873 0.8 1874 0.572 1875 0.788 1876 0.736 1877 0.755 1878 0.942 1879 0.941 1880 0.73 1881 0.851 1882 0.944 1883 1.014 1884 0.835 1885 0.692 1886 0.913 1887 0.919 1888 1.073 1889 0.896 1890 0.94 1891 0.943 1892 0.989 1893 0.995 1894 0.918 1895 0.625 1896 1.163 1897 1.081 1898 1.126 1899 1.105 1900 1.137 1901 1.083 1902 1.088 1903 1.097 1904 1.118 1905 1.089 1906 1.143 1907 1.095 1908 1.456 1909 1.112 1910 1.261 1911 1.112 1912 0.845 1913 0.828 1914 0.895 1915 0.59 1916 0.741 1917 0.099 1918 0.622 1919 0.917 1920 0.861 1921 1.075 1922 1.009 1923 1.044 1924 1.339 1925 1.045 1926 0.977 1927 0.912 1928 1.093 1929 1.143 1930 1.189 1931 1.117 1932 1.06 1933 1.206 1934 0.885 1935 1.197 1936 1.185 1937 1.006 1938 0.937 1939 1.069 1940 0.838 1941 1.188 1942 1.249 1943 0.925 1944 0.891 1945 0.952 1946 0.934 1947 0.816 1948 0.992 1949 0.853 1950 1.149 1951 1.037 1952 1.381 1953 1.382 1954 1.106 1955 1.463 1956 1.606 1957 1.114 1958 1.179 1959 1.331 1960 1.115 1961 0.378 1962 0.605 1963 0.776 1964 0.75 1965 0.802 1966 1.14 1967 0.986 1968 1.218 1969 1.115 1970 1.129 1971 1.197 1972 0.76 1973 1.201 1974 0.617 1975 0.584 1976 0.488 1977 0.766 1978 0.87 1979 0.525 1980 0.759 1981 0.958 1982 0.681 1983 0.996 1984 0.926 1985 0.723 1986 0.761 1987 0.878 1988 1.103 1989 1.16 1990 1.143 1991 0.947 1992 1.091 1993 1.375 1994 1.524 1995 1.334