# northamerica_usa_co635 - Cameron Pass - 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/5501 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_co635 - Cameron Pass - 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: Cameron Pass # Location: # Country: United States # Northernmost_Latitude: 40.55 # Southernmost_Latitude: 40.55 # Easternmost_Longitude: -105.83 # Westernmost_Longitude: -105.83 # Elevation: 3100 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_co635B # Earliest_Year: 1768 # Most_Recent_Year: 2003 # 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":"5.36993406356","T2":"15.2685490271","M1":"0.022909353957","M2":"0.479591952969"}} #-------------------- # Species # Species_Name: subalpine fir # Species_Code: ABLA #-------------------- # 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 1768 1.064 1769 0.951 1770 0.976 1771 1.113 1772 1.122 1773 1.109 1774 1.208 1775 1.153 1776 1.072 1777 1.13 1778 1.237 1779 1.053 1780 1.213 1781 0.892 1782 0.858 1783 1.182 1784 1.106 1785 0.956 1786 0.837 1787 1.05 1788 1.049 1789 1.006 1790 1.081 1791 0.932 1792 1.088 1793 0.942 1794 0.968 1795 1.087 1796 0.984 1797 0.893 1798 0.939 1799 0.953 1800 0.918 1801 0.892 1802 0.95 1803 0.849 1804 0.773 1805 0.74 1806 0.881 1807 0.912 1808 0.761 1809 0.961 1810 0.841 1811 0.774 1812 0.817 1813 0.815 1814 0.832 1815 0.835 1816 0.918 1817 0.96 1818 0.983 1819 0.745 1820 0.724 1821 0.674 1822 0.692 1823 0.738 1824 0.815 1825 0.841 1826 0.76 1827 0.713 1828 0.887 1829 0.879 1830 0.815 1831 0.905 1832 0.898 1833 1.123 1834 0.893 1835 1.014 1836 0.871 1837 1.208 1838 0.978 1839 0.94 1840 0.889 1841 0.966 1842 0.932 1843 1.136 1844 1.107 1845 0.736 1846 0.9 1847 0.99 1848 0.994 1849 1.058 1850 1.012 1851 0.865 1852 0.846 1853 0.982 1854 1.074 1855 1.064 1856 1.131 1857 0.985 1858 0.922 1859 0.952 1860 0.993 1861 1.059 1862 0.876 1863 1.064 1864 1.172 1865 0.928 1866 1.189 1867 0.999 1868 0.942 1869 0.979 1870 0.978 1871 1.019 1872 0.713 1873 1.264 1874 1.149 1875 1.021 1876 1.201 1877 1.005 1878 1.076 1879 0.995 1880 0.928 1881 1.036 1882 0.804 1883 0.863 1884 1.01 1885 1.072 1886 0.995 1887 0.853 1888 0.901 1889 1.02 1890 1.03 1891 0.9 1892 1.124 1893 0.747 1894 0.861 1895 0.9 1896 0.833 1897 1.007 1898 1.174 1899 0.982 1900 1.095 1901 1.07 1902 0.863 1903 1.064 1904 1.214 1905 1.164 1906 0.797 1907 1.139 1908 1.167 1909 1.182 1910 1.108 1911 1.111 1912 1.247 1913 1.435 1914 1.403 1915 1.169 1916 1.217 1917 1.26 1918 1.16 1919 1.191 1920 1.025 1921 1.225 1922 1.143 1923 1.109 1924 1.212 1925 1.224 1926 1.152 1927 1.211 1928 1.372 1929 1.263 1930 1.026 1931 1.129 1932 1.144 1933 1.167 1934 0.884 1935 0.929 1936 0.92 1937 0.797 1938 0.874 1939 0.911 1940 0.951 1941 0.839 1942 0.945 1943 0.912 1944 0.781 1945 0.651 1946 0.863 1947 0.806 1948 0.763 1949 0.759 1950 0.957 1951 1.101 1952 0.954 1953 0.983 1954 0.876 1955 1.01 1956 0.991 1957 0.974 1958 0.984 1959 0.812 1960 0.959 1961 0.983 1962 1.027 1963 1.05 1964 1.079 1965 1.098 1966 1.231 1967 0.974 1968 0.98 1969 0.892 1970 0.941 1971 0.943 1972 1.025 1973 1.061 1974 1.112 1975 1.044 1976 0.998 1977 0.974 1978 1.059 1979 1.023 1980 0.959 1981 0.875 1982 1.057 1983 1.069 1984 1.065 1985 0.996 1986 1.088 1987 1.074 1988 1.092 1989 0.989 1990 1.067 1991 1.1 1992 0.906 1993 1.041 1994 0.964 1995 0.827 1996 0.839 1997 0.834 1998 0.988 1999 0.883 2000 0.84 2001 0.882 2002 0.897 2003 0.84