# northamerica_usa_ny011 - Rock Rift Road Mohonk Lake - 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/3023 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_ny011 - Rock Rift Road Mohonk Lake - 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: Rock Rift Road Mohonk Lake # Location: # Country: United States # Northernmost_Latitude: 41.77 # Southernmost_Latitude: 41.77 # Easternmost_Longitude: -74.17 # Westernmost_Longitude: -74.17 # Elevation: 200 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_ny011B # Earliest_Year: 1700 # Most_Recent_Year: 1986 # 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":"4.50869977028","T2":"16.7378920633","M1":"0.0229107407722","M2":"0.56072243522"}} #-------------------- # Species # Species_Name: eastern hemlock # Species_Code: TSCA #-------------------- # 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 1700 0.948 1701 0.974 1702 1.078 1703 1.132 1704 0.605 1705 0.819 1706 1.091 1707 1.0 1708 0.581 1709 0.795 1710 0.99 1711 0.954 1712 0.897 1713 1.131 1714 0.967 1715 0.95 1716 0.839 1717 0.987 1718 0.953 1719 0.813 1720 0.972 1721 1.309 1722 1.132 1723 0.952 1724 0.92 1725 1.179 1726 1.065 1727 1.022 1728 0.815 1729 0.913 1730 1.135 1731 1.089 1732 0.872 1733 0.815 1734 1.018 1735 0.818 1736 0.811 1737 0.848 1738 0.694 1739 0.941 1740 0.856 1741 0.705 1742 0.675 1743 0.783 1744 0.77 1745 0.972 1746 0.822 1747 1.025 1748 0.627 1749 0.488 1750 0.708 1751 0.649 1752 0.901 1753 0.944 1754 0.925 1755 0.718 1756 1.026 1757 0.708 1758 0.66 1759 0.93 1760 0.911 1761 0.855 1762 0.64 1763 0.769 1764 0.694 1765 0.713 1766 0.754 1767 0.531 1768 0.432 1769 0.348 1770 0.453 1771 0.643 1772 0.63 1773 0.626 1774 0.78 1775 1.084 1776 1.158 1777 1.258 1778 1.06 1779 1.038 1780 0.838 1781 0.956 1782 1.078 1783 0.973 1784 0.82 1785 0.82 1786 1.131 1787 1.209 1788 1.377 1789 1.257 1790 1.144 1791 0.973 1792 0.711 1793 0.725 1794 0.566 1795 0.493 1796 0.534 1797 0.751 1798 0.608 1799 0.648 1800 0.663 1801 0.992 1802 1.081 1803 0.993 1804 0.745 1805 0.887 1806 0.564 1807 0.887 1808 1.309 1809 1.257 1810 1.25 1811 1.195 1812 1.342 1813 1.209 1814 1.34 1815 1.645 1816 1.077 1817 1.24 1818 1.119 1819 0.811 1820 0.788 1821 0.904 1822 1.316 1823 1.12 1824 1.295 1825 1.355 1826 0.636 1827 1.009 1828 1.417 1829 1.1 1830 1.347 1831 1.231 1832 1.107 1833 1.395 1834 1.792 1835 1.333 1836 1.132 1837 1.383 1838 1.47 1839 1.081 1840 1.268 1841 1.036 1842 1.341 1843 0.956 1844 1.131 1845 1.081 1846 1.027 1847 1.034 1848 1.114 1849 1.007 1850 0.968 1851 1.283 1852 1.16 1853 1.003 1854 0.837 1855 0.845 1856 0.889 1857 1.139 1858 1.295 1859 1.108 1860 1.201 1861 0.722 1862 0.972 1863 0.852 1864 0.82 1865 0.911 1866 0.979 1867 1.059 1868 1.17 1869 0.821 1870 0.759 1871 0.665 1872 0.752 1873 0.64 1874 1.018 1875 1.24 1876 1.037 1877 1.099 1878 1.147 1879 1.091 1880 0.957 1881 0.925 1882 1.098 1883 0.874 1884 1.215 1885 1.081 1886 1.151 1887 0.839 1888 0.774 1889 1.09 1890 1.361 1891 1.089 1892 1.237 1893 1.204 1894 1.06 1895 0.781 1896 0.717 1897 1.228 1898 1.209 1899 0.684 1900 0.596 1901 0.817 1902 1.217 1903 1.415 1904 1.396 1905 0.956 1906 0.996 1907 1.166 1908 1.055 1909 0.985 1910 1.02 1911 0.869 1912 0.661 1913 0.826 1914 0.763 1915 0.68 1916 0.964 1917 1.208 1918 0.808 1919 0.888 1920 0.75 1921 0.624 1922 1.014 1923 0.776 1924 0.65 1925 0.772 1926 0.645 1927 0.861 1928 1.06 1929 0.911 1930 0.854 1931 0.913 1932 0.893 1933 0.635 1934 0.611 1935 0.941 1936 0.711 1937 1.003 1938 1.052 1939 0.902 1940 0.708 1941 0.799 1942 0.834 1943 0.95 1944 0.592 1945 0.701 1946 1.276 1947 0.965 1948 0.987 1949 0.699 1950 0.753 1951 1.07 1952 0.765 1953 0.631 1954 0.524 1955 0.773 1956 0.64 1957 0.719 1958 0.716 1959 0.998 1960 0.758 1961 1.276 1962 0.677 1963 0.89 1964 0.607 1965 0.351 1966 0.59 1967 0.81 1968 0.988 1969 1.033 1970 0.943 1971 1.081 1972 0.876 1973 1.421 1974 1.394 1975 1.535 1976 1.27 1977 1.154 1978 0.86 1979 0.871 1980 0.959 1981 0.898 1982 0.859 1983 0.824 1984 0.651 1985 0.909 1986 0.935