# northamerica_usa_nm036 - Tajique 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/3110 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_nm036 - Tajique 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: Tajique Canyon # Location: # Country: United States # Northernmost_Latitude: 34.77 # Southernmost_Latitude: 34.77 # Easternmost_Longitude: -106.32 # Westernmost_Longitude: -106.32 # Elevation: 2103 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_nm036B # Earliest_Year: 1733 # Most_Recent_Year: 1972 # 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":"3.7015907458","T2":"16.2360607785","M1":"0.0234044623398","M2":"0.483360070283"}} #-------------------- # 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 1733 0.462 1734 1.689 1735 1.612 1736 1.077 1737 0.587 1738 0.735 1739 0.25 1740 0.579 1741 0.906 1742 0.877 1743 1.107 1744 1.295 1745 1.317 1746 1.828 1747 1.527 1748 0.266 1749 1.204 1750 0.694 1751 1.314 1752 0.468 1753 1.207 1754 1.214 1755 0.692 1756 0.796 1757 0.396 1758 1.255 1759 1.064 1760 1.43 1761 1.745 1762 1.341 1763 0.803 1764 1.324 1765 1.05 1766 1.227 1767 1.28 1768 1.226 1769 0.696 1770 0.857 1771 1.546 1772 1.072 1773 0.597 1774 0.92 1775 0.815 1776 1.133 1777 0.738 1778 0.825 1779 0.62 1780 0.513 1781 1.026 1782 1.369 1783 1.636 1784 1.703 1785 0.663 1786 0.802 1787 1.173 1788 0.847 1789 0.749 1790 0.875 1791 0.852 1792 1.056 1793 1.337 1794 1.168 1795 1.191 1796 0.713 1797 0.627 1798 0.649 1799 0.786 1800 1.209 1801 0.684 1802 0.702 1803 1.227 1804 0.885 1805 1.128 1806 0.206 1807 0.686 1808 0.714 1809 0.744 1810 1.05 1811 0.818 1812 0.974 1813 1.434 1814 1.425 1815 1.585 1816 1.818 1817 0.586 1818 0.275 1819 -0.006 1820 0.914 1821 0.784 1822 0.201 1823 0.167 1824 0.537 1825 0.774 1826 1.169 1827 1.342 1828 1.122 1829 1.28 1830 1.348 1831 1.303 1832 1.687 1833 1.503 1834 1.514 1835 1.488 1836 1.158 1837 1.035 1838 0.976 1839 1.499 1840 1.303 1841 0.959 1842 0.146 1843 0.769 1844 0.785 1845 1.068 1846 1.361 1847 0.688 1848 1.151 1849 1.596 1850 1.172 1851 0.713 1852 1.356 1853 1.352 1854 1.271 1855 1.3 1856 1.2 1857 1.837 1858 1.887 1859 0.494 1860 1.193 1861 1.024 1862 0.208 1863 0.54 1864 0.644 1865 0.962 1866 0.887 1867 1.181 1868 1.584 1869 1.483 1870 0.831 1871 0.744 1872 1.066 1873 0.806 1874 0.88 1875 1.198 1876 0.647 1877 0.868 1878 1.321 1879 0.998 1880 0.365 1881 1.071 1882 0.805 1883 1.372 1884 1.292 1885 1.37 1886 1.062 1887 1.668 1888 1.005 1889 1.226 1890 0.963 1891 1.01 1892 0.804 1893 0.931 1894 0.282 1895 0.822 1896 0.271 1897 1.006 1898 1.101 1899 0.469 1900 0.173 1901 0.755 1902 0.378 1903 0.716 1904 -0.006 1905 0.711 1906 1.024 1907 1.549 1908 1.728 1909 1.412 1910 1.078 1911 1.846 1912 1.598 1913 1.054 1914 1.744 1915 1.317 1916 1.861 1917 1.495 1918 1.432 1919 2.339 1920 1.718 1921 2.124 1922 0.51 1923 0.411 1924 1.046 1925 0.227 1926 0.839 1927 0.921 1928 0.76 1929 1.258 1930 1.111 1931 1.226 1932 1.499 1933 2.171 1934 0.409 1935 0.891 1936 1.078 1937 0.922 1938 0.458 1939 0.753 1940 0.906 1941 1.182 1942 1.128 1943 0.769 1944 1.308 1945 1.038 1946 0.542 1947 0.657 1948 0.674 1949 0.92 1950 0.229 1951 -0.006 1952 0.506 1953 0.604 1954 -0.003 1955 0.103 1956 -0.006 1957 0.506 1958 0.654 1959 0.821 1960 1.32 1961 1.249 1962 1.463 1963 0.651 1964 0.677 1965 0.799 1966 0.826 1967 -0.006 1968 1.187 1969 0.891 1970 1.369 1971 0.569 1972 1.166