# northamerica_usa_wa023 - Rainy Pass 2 - 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/2908 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_wa023 - Rainy Pass 2 - 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: Rainy Pass 2 # Location: # Country: United States # Northernmost_Latitude: 48.48 # Southernmost_Latitude: 48.48 # Easternmost_Longitude: -120.73 # Westernmost_Longitude: -120.73 # Elevation: 1468 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_wa023B # Earliest_Year: 1770 # Most_Recent_Year: 1976 # 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":"4.34731802179","T2":"12.8408051623","M1":"0.0229117474327","M2":"0.579328682611"}} #-------------------- # Species # Species_Name: Douglas fir # Species_Code: PSME #-------------------- # 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 1770 0.929 1771 1.099 1772 1.026 1773 1.411 1774 0.928 1775 0.894 1776 1.008 1777 1.152 1778 1.075 1779 1.057 1780 0.975 1781 0.93 1782 0.934 1783 1.078 1784 1.072 1785 0.885 1786 0.969 1787 0.677 1788 0.842 1789 0.933 1790 0.886 1791 1.012 1792 1.0 1793 1.114 1794 1.015 1795 0.96 1796 0.857 1797 0.978 1798 1.27 1799 1.298 1800 1.429 1801 1.299 1802 1.051 1803 0.965 1804 1.169 1805 1.216 1806 0.937 1807 0.812 1808 0.925 1809 0.94 1810 0.838 1811 0.819 1812 0.861 1813 0.766 1814 1.006 1815 0.967 1816 1.122 1817 1.125 1818 1.02 1819 1.1 1820 1.092 1821 0.885 1822 1.14 1823 0.846 1824 1.026 1825 1.069 1826 0.944 1827 0.853 1828 0.889 1829 1.153 1830 0.866 1831 0.851 1832 0.875 1833 0.951 1834 0.968 1835 0.846 1836 0.726 1837 0.939 1838 0.858 1839 1.311 1840 0.882 1841 1.283 1842 1.26 1843 1.249 1844 1.062 1845 1.205 1846 1.178 1847 0.797 1848 0.896 1849 0.803 1850 0.823 1851 1.007 1852 0.812 1853 0.799 1854 0.831 1855 1.046 1856 0.901 1857 1.066 1858 1.132 1859 1.03 1860 0.921 1861 1.062 1862 0.722 1863 1.114 1864 1.025 1865 0.904 1866 0.729 1867 0.725 1868 0.812 1869 0.682 1870 0.605 1871 0.637 1872 0.846 1873 0.872 1874 0.895 1875 0.943 1876 0.853 1877 1.152 1878 1.138 1879 1.105 1880 0.935 1881 1.344 1882 1.116 1883 0.934 1884 1.02 1885 1.481 1886 1.245 1887 1.073 1888 1.065 1889 1.118 1890 1.052 1891 1.1 1892 0.993 1893 0.951 1894 1.031 1895 1.033 1896 1.012 1897 0.919 1898 1.126 1899 0.9 1900 1.345 1901 1.13 1902 0.99 1903 1.066 1904 1.167 1905 1.09 1906 1.032 1907 0.852 1908 1.044 1909 0.913 1910 0.887 1911 1.023 1912 0.906 1913 1.142 1914 1.209 1915 0.992 1916 0.759 1917 0.808 1918 0.896 1919 0.954 1920 0.945 1921 0.998 1922 0.889 1923 0.999 1924 0.956 1925 0.759 1926 0.613 1927 0.74 1928 0.812 1929 0.895 1930 0.78 1931 0.862 1932 0.796 1933 0.878 1934 0.999 1935 0.98 1936 0.78 1937 1.134 1938 1.084 1939 0.925 1940 1.014 1941 0.915 1942 1.079 1943 0.77 1944 0.657 1945 0.407 1946 0.438 1947 0.722 1948 0.965 1949 1.069 1950 1.1 1951 1.064 1952 1.162 1953 1.206 1954 1.264 1955 1.427 1956 0.994 1957 1.148 1958 1.458 1959 0.917 1960 1.263 1961 1.069 1962 0.906 1963 1.313 1964 1.337 1965 1.321 1966 1.455 1967 1.201 1968 1.072 1969 1.153 1970 1.278 1971 1.03 1972 0.934 1973 1.156 1974 1.086 1975 1.091 1976 0.133