# northamerica_usa_co588 - Platt Bradbury - 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/5323 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_co588 - Platt Bradbury - 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: Platt Bradbury # Location: # Country: United States # Northernmost_Latitude: 37.47 # Southernmost_Latitude: 37.47 # Easternmost_Longitude: -106.3 # Westernmost_Longitude: -106.3 # Elevation: 2835 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_co588B # Earliest_Year: 1755 # Most_Recent_Year: 2004 # 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":"4.20816457463","T2":"15.4413424958","M1":"0.0231763614612","M2":"0.519766313614"}} #-------------------- # Species # Species_Name: ponderosa pine # Species_Code: PIPO #-------------------- # 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 1755 0.94 1756 1.133 1757 1.348 1758 1.159 1759 1.119 1760 0.944 1761 1.228 1762 1.237 1763 0.661 1764 0.747 1765 1.343 1766 1.342 1767 0.804 1768 1.034 1769 0.937 1770 1.016 1771 1.721 1772 0.837 1773 0.456 1774 0.959 1775 0.634 1776 0.962 1777 0.584 1778 0.621 1779 0.658 1780 0.313 1781 0.312 1782 0.644 1783 1.091 1784 1.075 1785 1.241 1786 0.885 1787 1.054 1788 0.574 1789 0.399 1790 1.401 1791 0.824 1792 0.758 1793 0.96 1794 1.0 1795 0.882 1796 0.824 1797 0.959 1798 0.763 1799 0.967 1800 0.844 1801 0.966 1802 0.585 1803 0.858 1804 0.943 1805 0.787 1806 0.683 1807 0.916 1808 0.924 1809 0.734 1810 1.207 1811 1.137 1812 1.223 1813 1.521 1814 1.79 1815 1.686 1816 2.463 1817 1.288 1818 0.389 1819 0.79 1820 0.897 1821 1.185 1822 0.661 1823 0.684 1824 0.673 1825 0.92 1826 0.702 1827 0.783 1828 1.497 1829 1.002 1830 0.946 1831 1.961 1832 1.75 1833 1.273 1834 0.954 1835 1.797 1836 1.122 1837 1.39 1838 1.709 1839 1.395 1840 1.583 1841 1.461 1842 0.972 1843 0.989 1844 0.864 1845 0.953 1846 0.736 1847 0.328 1848 0.886 1849 0.733 1850 0.854 1851 0.296 1852 0.66 1853 1.028 1854 1.053 1855 0.987 1856 0.807 1857 0.9 1858 1.118 1859 1.007 1860 1.175 1861 0.367 1862 0.832 1863 0.944 1864 0.721 1865 0.825 1866 0.879 1867 1.143 1868 1.011 1869 1.285 1870 0.761 1871 0.775 1872 0.61 1873 0.786 1874 0.648 1875 0.467 1876 0.743 1877 0.871 1878 0.604 1879 0.647 1880 0.679 1881 0.478 1882 0.927 1883 0.768 1884 1.028 1885 1.013 1886 0.935 1887 1.111 1888 0.851 1889 1.066 1890 0.746 1891 0.939 1892 0.873 1893 0.68 1894 0.81 1895 1.034 1896 0.69 1897 1.113 1898 1.065 1899 0.424 1900 0.883 1901 0.677 1902 0.231 1903 1.127 1904 0.546 1905 0.814 1906 1.093 1907 2.021 1908 0.924 1909 1.25 1910 1.023 1911 1.331 1912 1.714 1913 0.92 1914 1.145 1915 1.018 1916 0.863 1917 1.05 1918 0.587 1919 1.226 1920 0.932 1921 1.171 1922 0.895 1923 0.838 1924 1.302 1925 1.155 1926 1.279 1927 0.905 1928 1.256 1929 0.841 1930 0.353 1931 0.942 1932 0.777 1933 0.99 1934 0.693 1935 1.047 1936 0.863 1937 1.412 1938 1.291 1939 1.013 1940 0.718 1941 1.301 1942 1.097 1943 0.493 1944 1.192 1945 0.888 1946 0.737 1947 1.211 1948 0.981 1949 1.05 1950 0.428 1951 0.291 1952 0.798 1953 1.253 1954 0.33 1955 0.441 1956 0.486 1957 1.143 1958 0.99 1959 0.522 1960 0.799 1961 0.709 1962 0.975 1963 0.499 1964 0.861 1965 1.161 1966 1.018 1967 1.332 1968 1.64 1969 1.772 1970 1.506 1971 0.966 1972 0.52 1973 1.287 1974 0.5 1975 1.189 1976 0.997 1977 0.279 1978 0.867 1979 1.009 1980 0.908 1981 0.561 1982 0.849 1983 1.616 1984 1.178 1985 1.644 1986 1.286 1987 1.106 1988 1.009 1989 0.781 1990 0.875 1991 1.034 1992 1.275 1993 0.96 1994 1.045 1995 1.123 1996 0.541 1997 0.945 1998 0.955 1999 1.489 2000 1.045 2001 1.408 2002 0.47 2003 0.429 2004 0.928