# northamerica_usa_ny002 - Dark Hollow Trail - 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/2966 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_ny002 - Dark Hollow Trail - 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: Dark Hollow Trail # Location: # Country: United States # Northernmost_Latitude: 41.42 # Southernmost_Latitude: 41.42 # Easternmost_Longitude: -74.08 # Westernmost_Longitude: -74.08 # Elevation: 200 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_ny002B # Earliest_Year: 1713 # Most_Recent_Year: 1977 # 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":"4.65476854203","T2":"17.0487752547","M1":"0.0227094665213","M2":"0.568490790729"}} #-------------------- # Species # Species_Name: white oak # Species_Code: QUAL #-------------------- # 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 1713 1.384 1714 1.158 1715 1.128 1716 1.61 1717 1.084 1718 0.894 1719 0.959 1720 0.932 1721 0.825 1722 0.682 1723 0.715 1724 0.744 1725 0.862 1726 0.923 1727 1.069 1728 0.781 1729 0.927 1730 0.939 1731 0.76 1732 0.774 1733 0.638 1734 0.715 1735 0.621 1736 0.65 1737 0.545 1738 0.438 1739 0.573 1740 0.513 1741 0.385 1742 0.419 1743 0.483 1744 0.568 1745 0.66 1746 0.66 1747 0.891 1748 0.714 1749 0.538 1750 0.936 1751 0.668 1752 0.969 1753 1.135 1754 1.489 1755 1.639 1756 1.446 1757 0.949 1758 0.523 1759 0.497 1760 0.449 1761 0.424 1762 0.569 1763 0.674 1764 0.603 1765 0.84 1766 1.136 1767 0.709 1768 1.066 1769 0.746 1770 0.888 1771 0.658 1772 0.743 1773 0.547 1774 1.015 1775 0.773 1776 0.798 1777 1.266 1778 1.082 1779 1.473 1780 1.647 1781 1.727 1782 1.189 1783 1.448 1784 1.195 1785 1.265 1786 1.454 1787 1.498 1788 1.703 1789 1.362 1790 1.132 1791 1.095 1792 0.788 1793 1.136 1794 1.535 1795 1.028 1796 0.946 1797 0.921 1798 1.01 1799 1.106 1800 1.268 1801 0.989 1802 1.219 1803 1.171 1804 1.469 1805 1.236 1806 1.151 1807 1.298 1808 1.106 1809 0.966 1810 1.342 1811 1.189 1812 1.436 1813 1.257 1814 1.029 1815 1.308 1816 1.004 1817 1.051 1818 1.025 1819 0.705 1820 0.968 1821 1.034 1822 1.026 1823 0.963 1824 1.002 1825 1.047 1826 0.978 1827 0.995 1828 0.976 1829 1.032 1830 1.105 1831 1.031 1832 1.023 1833 1.455 1834 1.531 1835 1.234 1836 1.085 1837 1.136 1838 0.872 1839 0.897 1840 0.979 1841 1.215 1842 1.074 1843 0.956 1844 1.071 1845 1.02 1846 1.253 1847 1.038 1848 0.906 1849 0.776 1850 1.109 1851 1.07 1852 0.817 1853 0.965 1854 1.046 1855 0.879 1856 0.926 1857 1.064 1858 0.853 1859 1.146 1860 1.16 1861 0.963 1862 0.957 1863 1.032 1864 0.967 1865 1.053 1866 1.012 1867 1.058 1868 1.116 1869 1.008 1870 0.962 1871 1.14 1872 1.052 1873 0.739 1874 0.944 1875 0.895 1876 0.825 1877 0.885 1878 1.046 1879 1.136 1880 1.122 1881 1.131 1882 1.082 1883 1.241 1884 1.129 1885 1.021 1886 1.008 1887 1.128 1888 1.117 1889 1.143 1890 0.919 1891 0.881 1892 1.164 1893 1.034 1894 0.887 1895 1.019 1896 1.09 1897 1.007 1898 0.865 1899 0.919 1900 1.202 1901 0.9 1902 1.132 1903 1.263 1904 1.375 1905 1.135 1906 1.143 1907 1.069 1908 1.019 1909 0.897 1910 0.863 1911 0.792 1912 1.031 1913 1.024 1914 1.143 1915 0.933 1916 1.04 1917 0.992 1918 0.768 1919 0.792 1920 0.995 1921 0.812 1922 0.866 1923 0.9 1924 0.862 1925 0.906 1926 0.958 1927 0.88 1928 0.899 1929 0.931 1930 1.028 1931 1.012 1932 1.124 1933 0.914 1934 0.932 1935 1.166 1936 0.99 1937 1.057 1938 1.023 1939 1.096 1940 0.904 1941 0.842 1942 0.947 1943 1.051 1944 0.985 1945 0.943 1946 1.089 1947 1.005 1948 0.961 1949 0.897 1950 1.14 1951 1.258 1952 1.029 1953 1.12 1954 0.855 1955 0.869 1956 0.79 1957 0.764 1958 0.688 1959 0.707 1960 0.83 1961 0.817 1962 0.72 1963 0.832 1964 0.791 1965 0.607 1966 0.697 1967 0.654 1968 0.518 1969 0.67 1970 0.683 1971 0.742 1972 0.557 1973 0.696 1974 0.84 1975 0.81 1976 0.931 1977 0.737