# northamerica_usa_nm050 - Tijeras Canyon - 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/3111 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_nm050 - Tijeras Canyon - 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: Tijeras Canyon # Location: # Country: United States # Northernmost_Latitude: 35.08 # Southernmost_Latitude: 35.08 # Easternmost_Longitude: -106.38 # Westernmost_Longitude: -106.38 # Elevation: 1958 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_nm050B # Earliest_Year: 1762 # Most_Recent_Year: 1976 # 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":"3.57815958662","T2":"14.622158158","M1":"0.0235536762619","M2":"0.52440200542"}} #-------------------- # Species # Species_Name: pinyon pine # Species_Code: PIED #-------------------- # 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 1762 1.259 1763 0.238 1764 1.189 1765 0.819 1766 1.282 1767 1.129 1768 0.834 1769 1.01 1770 1.29 1771 1.55 1772 1.39 1773 0.534 1774 0.626 1775 0.7 1776 0.946 1777 1.172 1778 1.426 1779 1.058 1780 0.454 1781 0.956 1782 0.833 1783 1.298 1784 1.376 1785 1.357 1786 0.973 1787 1.038 1788 0.839 1789 0.705 1790 1.077 1791 1.078 1792 1.093 1793 1.202 1794 1.09 1795 1.328 1796 0.729 1797 0.761 1798 0.856 1799 0.907 1800 0.989 1801 0.747 1802 0.535 1803 0.419 1804 0.649 1805 0.53 1806 0.377 1807 0.463 1808 0.388 1809 0.7 1810 0.567 1811 0.784 1812 0.571 1813 0.561 1814 0.566 1815 0.947 1816 1.404 1817 0.807 1818 0.43 1819 0.631 1820 0.817 1821 0.878 1822 0.296 1823 0.524 1824 0.806 1825 1.049 1826 0.811 1827 0.822 1828 1.395 1829 1.177 1830 1.032 1831 0.63 1832 0.531 1833 0.916 1834 0.82 1835 0.655 1836 0.581 1837 0.973 1838 0.943 1839 1.142 1840 1.057 1841 0.956 1842 0.344 1843 0.624 1844 0.642 1845 0.732 1846 0.959 1847 0.349 1848 0.673 1849 0.845 1850 0.612 1851 0.498 1852 0.39 1853 0.554 1854 0.637 1855 0.973 1856 1.392 1857 1.281 1858 1.238 1859 0.946 1860 0.833 1861 0.671 1862 0.502 1863 0.998 1864 1.223 1865 1.849 1866 2.178 1867 2.743 1868 2.692 1869 2.189 1870 0.948 1871 1.337 1872 1.632 1873 0.571 1874 1.33 1875 1.428 1876 1.444 1877 1.537 1878 1.33 1879 0.795 1880 0.424 1881 1.006 1882 1.217 1883 0.622 1884 1.155 1885 1.45 1886 0.95 1887 1.203 1888 0.952 1889 1.106 1890 1.046 1891 1.357 1892 1.038 1893 0.786 1894 0.786 1895 1.046 1896 0.541 1897 1.651 1898 1.056 1899 0.389 1900 0.305 1901 1.12 1902 0.147 1903 0.962 1904 -0.107 1905 1.611 1906 1.446 1907 1.505 1908 1.224 1909 1.198 1910 0.491 1911 1.229 1912 1.462 1913 1.061 1914 1.728 1915 2.031 1916 1.688 1917 1.576 1918 1.068 1919 2.1 1920 1.505 1921 1.002 1922 0.366 1923 0.717 1924 1.01 1925 -0.044 1926 0.869 1927 0.921 1928 0.836 1929 0.986 1930 1.154 1931 1.293 1932 1.388 1933 1.175 1934 0.566 1935 1.592 1936 1.114 1937 1.454 1938 0.642 1939 0.501 1940 0.988 1941 1.455 1942 1.582 1943 1.368 1944 1.485 1945 1.152 1946 0.49 1947 0.563 1948 0.892 1949 0.823 1950 -0.065 1951 -0.105 1952 0.792 1953 0.351 1954 0.697 1955 0.274 1956 0.226 1957 0.917 1958 0.985 1959 0.718 1960 1.199 1961 1.113 1962 0.572 1963 0.67 1964 0.706 1965 0.694 1966 0.816 1967 0.194 1968 1.161 1969 1.093 1970 1.066 1971 0.429 1972 0.771 1973 1.252 1974 0.426 1975 1.507 1976 0.456