# asia_russ145w - Adycha river (slope) - 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/4303 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: asia_russ145w - Adycha river (slope) - 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: Adycha river (slope) # Location: # Country: Russia # Northernmost_Latitude: 65.8 # Southernmost_Latitude: 65.8 # Easternmost_Longitude: 137.25 # Westernmost_Longitude: 137.25 # Elevation: 800 m #-------------------- # Data_Collection # Collection_Name: asia_russ145wB # Earliest_Year: 1719 # Most_Recent_Year: 1991 # 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":"6.95439553462","T2":"16.9175734659","M1":"0.0224528902746","M2":"0.422530770702"}} #-------------------- # Species # Species_Name: Dahurian larch # Species_Code: LAGM #-------------------- # 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 1719 0.79 1720 1.089 1721 1.061 1722 1.231 1723 1.093 1724 0.803 1725 0.48 1726 0.714 1727 0.734 1728 0.186 1729 0.547 1730 0.25 1731 0.13 1732 0.549 1733 0.495 1734 0.48 1735 0.714 1736 1.163 1737 0.536 1738 0.47 1739 0.932 1740 0.338 1741 0.858 1742 1.342 1743 0.989 1744 0.983 1745 1.251 1746 0.897 1747 1.086 1748 0.851 1749 0.999 1750 1.417 1751 1.249 1752 1.694 1753 1.382 1754 0.723 1755 1.323 1756 1.107 1757 0.816 1758 0.836 1759 0.932 1760 1.421 1761 0.706 1762 0.522 1763 0.703 1764 0.129 1765 1.009 1766 1.202 1767 1.129 1768 1.244 1769 1.689 1770 0.791 1771 1.371 1772 1.061 1773 0.934 1774 1.294 1775 1.344 1776 1.291 1777 1.215 1778 0.905 1779 0.696 1780 1.068 1781 0.948 1782 1.404 1783 1.319 1784 1.433 1785 1.293 1786 0.51 1787 0.799 1788 0.773 1789 1.446 1790 1.368 1791 0.984 1792 1.267 1793 1.16 1794 0.881 1795 1.127 1796 0.794 1797 0.414 1798 0.783 1799 0.86 1800 0.513 1801 0.455 1802 0.789 1803 0.901 1804 0.804 1805 0.861 1806 0.83 1807 1.15 1808 1.497 1809 1.527 1810 1.586 1811 1.1 1812 0.629 1813 0.451 1814 0.85 1815 0.677 1816 0.82 1817 0.61 1818 -0.009 1819 1.01 1820 1.073 1821 1.037 1822 0.611 1823 0.441 1824 0.842 1825 0.734 1826 1.38 1827 1.081 1828 1.28 1829 1.52 1830 0.867 1831 1.547 1832 0.824 1833 0.999 1834 1.333 1835 1.332 1836 1.317 1837 0.857 1838 0.751 1839 0.473 1840 0.683 1841 0.893 1842 0.591 1843 0.94 1844 1.157 1845 0.93 1846 1.054 1847 1.188 1848 1.362 1849 1.425 1850 1.032 1851 1.182 1852 1.138 1853 1.267 1854 1.036 1855 0.839 1856 1.031 1857 0.849 1858 1.359 1859 1.106 1860 1.51 1861 0.982 1862 0.753 1863 0.28 1864 0.575 1865 0.542 1866 0.872 1867 1.403 1868 1.57 1869 1.816 1870 1.778 1871 1.399 1872 1.404 1873 1.501 1874 1.165 1875 1.024 1876 0.825 1877 0.858 1878 1.176 1879 1.032 1880 1.069 1881 0.969 1882 0.391 1883 1.364 1884 1.068 1885 0.779 1886 0.402 1887 0.735 1888 0.521 1889 0.671 1890 0.651 1891 0.54 1892 0.913 1893 1.232 1894 1.172 1895 1.064 1896 1.19 1897 1.076 1898 1.007 1899 1.068 1900 0.668 1901 0.832 1902 0.678 1903 1.018 1904 0.788 1905 0.658 1906 1.047 1907 0.72 1908 0.766 1909 0.459 1910 0.768 1911 0.762 1912 1.069 1913 0.751 1914 0.631 1915 0.597 1916 0.871 1917 0.703 1918 0.632 1919 0.703 1920 0.367 1921 0.458 1922 0.779 1923 0.736 1924 0.863 1925 0.585 1926 0.321 1927 0.726 1928 0.832 1929 1.1 1930 1.232 1931 0.812 1932 1.109 1933 1.422 1934 1.187 1935 1.07 1936 1.425 1937 1.176 1938 1.178 1939 1.063 1940 1.116 1941 0.752 1942 1.021 1943 0.695 1944 1.05 1945 0.861 1946 1.291 1947 1.347 1948 1.395 1949 1.351 1950 1.208 1951 1.412 1952 1.355 1953 1.355 1954 1.02 1955 0.912 1956 1.165 1957 0.72 1958 0.684 1959 0.951 1960 1.098 1961 1.387 1962 1.123 1963 0.756 1964 0.637 1965 0.966 1966 0.996 1967 0.823 1968 0.857 1969 1.029 1970 1.063 1971 0.963 1972 0.46 1973 1.252 1974 1.261 1975 1.261 1976 0.822 1977 0.933 1978 1.086 1979 0.565 1980 0.602 1981 1.189 1982 0.808 1983 0.871 1984 0.822 1985 0.747 1986 1.128 1987 1.024 1988 1.136 1989 1.423 1990 1.279 1991 1.129