# northamerica_usa_wa079 - Hart's Pass R2 - 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/4133 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_wa079 - Hart's Pass R2 - 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: Hart's Pass R2 # Location: # Country: United States # Northernmost_Latitude: 48.7 # Southernmost_Latitude: 48.7 # Easternmost_Longitude: -120.65 # Westernmost_Longitude: -120.65 # Elevation: 2050 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_wa079B # Earliest_Year: 1737 # 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":"6.35292150305","T2":"14.3879989005","M1":"0.0224667414646","M2":"0.458282457441"}} #-------------------- # Species # Species_Name: subalpine larch # Species_Code: LALY #-------------------- # 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 1737 0.865 1738 0.957 1739 1.238 1740 1.146 1741 1.624 1742 1.281 1743 1.385 1744 1.117 1745 1.762 1746 0.201 1747 1.158 1748 1.101 1749 1.174 1750 0.632 1751 0.345 1752 0.347 1753 1.177 1754 1.336 1755 0.429 1756 1.484 1757 1.162 1758 0.67 1759 0.856 1760 0.802 1761 0.921 1762 0.52 1763 0.777 1764 1.18 1765 0.585 1766 0.891 1767 1.163 1768 1.418 1769 1.071 1770 1.236 1771 1.085 1772 1.297 1773 0.941 1774 1.42 1775 0.957 1776 0.867 1777 1.072 1778 0.853 1779 0.89 1780 0.952 1781 1.252 1782 0.831 1783 1.715 1784 1.014 1785 0.966 1786 1.308 1787 1.268 1788 1.149 1789 1.141 1790 1.647 1791 0.749 1792 0.904 1793 0.772 1794 1.163 1795 0.951 1796 1.035 1797 1.029 1798 1.77 1799 1.163 1800 0.882 1801 0.945 1802 1.383 1803 1.159 1804 1.01 1805 0.756 1806 0.643 1807 1.016 1808 1.046 1809 1.047 1810 0.715 1811 0.954 1812 1.081 1813 0.816 1814 0.823 1815 0.673 1816 0.609 1817 1.182 1818 0.786 1819 0.595 1820 0.849 1821 0.665 1822 0.766 1823 1.026 1824 0.35 1825 0.939 1826 1.158 1827 1.102 1828 0.974 1829 1.158 1830 1.32 1831 1.417 1832 0.171 1833 1.015 1834 1.453 1835 1.138 1836 1.019 1837 0.995 1838 0.209 1839 0.657 1840 1.015 1841 1.38 1842 1.375 1843 1.237 1844 0.771 1845 1.131 1846 0.935 1847 0.922 1848 1.391 1849 0.755 1850 1.03 1851 1.171 1852 1.267 1853 0.776 1854 0.786 1855 1.443 1856 0.764 1857 0.815 1858 0.649 1859 1.024 1860 1.011 1861 1.294 1862 1.03 1863 1.557 1864 0.661 1865 1.156 1866 1.057 1867 0.658 1868 1.02 1869 1.243 1870 1.077 1871 1.569 1872 2.172 1873 1.823 1874 1.622 1875 1.529 1876 1.037 1877 0.526 1878 0.844 1879 0.488 1880 0.612 1881 0.642 1882 0.558 1883 0.673 1884 0.6 1885 0.735 1886 0.871 1887 0.951 1888 0.614 1889 0.9 1890 0.639 1891 0.728 1892 0.932 1893 0.649 1894 0.939 1895 0.862 1896 1.054 1897 0.215 1898 0.571 1899 0.78 1900 0.507 1901 0.693 1902 0.61 1903 0.856 1904 1.053 1905 0.516 1906 0.568 1907 0.712 1908 0.994 1909 0.818 1910 0.934 1911 0.81 1912 0.818 1913 0.542 1914 1.214 1915 0.499 1916 0.528 1917 0.965 1918 1.449 1919 1.549 1920 1.146 1921 1.165 1922 1.386 1923 1.174 1924 1.18 1925 0.982 1926 0.684 1927 0.667 1928 0.87 1929 0.803 1930 0.659 1931 0.844 1932 0.968 1933 1.189 1934 1.092 1935 0.783 1936 1.175 1937 1.154 1938 1.434 1939 0.802 1940 1.232 1941 1.057 1942 1.195 1943 1.238 1944 1.245 1945 1.081 1946 0.253 1947 1.005 1948 1.007 1949 0.763 1950 1.235 1951 1.305 1952 0.75 1953 1.101 1954 1.174 1955 0.788 1956 0.327 1957 1.084 1958 1.121 1959 0.788 1960 1.047 1961 1.212 1962 0.861 1963 1.182 1964 1.331 1965 1.369 1966 1.069 1967 1.89 1968 1.025 1969 1.238 1970 1.26 1971 0.764 1972 0.757 1973 0.827 1974 0.947 1975 1.166 1976 0.941 1977 1.188 1978 1.435 1979 0.957 1980 0.618 1981 0.836 1982 0.926 1983 0.717 1984 1.191 1985 1.181 1986 1.071 1987 1.161 1988 1.259 1989 1.12 1990 1.216 1991 1.005