# northamerica_usa_nm501 - Rito de los Frijoles - 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/3097 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_nm501 - Rito de los Frijoles - 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: Rito de los Frijoles # Location: # Country: United States # Northernmost_Latitude: 35.78 # Southernmost_Latitude: 35.78 # Easternmost_Longitude: -106.28 # Westernmost_Longitude: -106.28 # Elevation: 1890 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_nm501B # Earliest_Year: 1744 # 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":"3.18044992137","T2":"16.0024297076","M1":"0.0229298200472","M2":"0.492346031181"}} #-------------------- # 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 1744 1.32 1745 1.248 1746 2.15 1747 1.913 1748 0.003 1749 0.937 1750 0.365 1751 0.918 1752 0.139 1753 0.844 1754 1.232 1755 0.772 1756 0.561 1757 0.372 1758 1.456 1759 1.467 1760 0.836 1761 2.052 1762 1.796 1763 0.423 1764 1.988 1765 1.238 1766 1.476 1767 1.066 1768 1.539 1769 1.378 1770 1.575 1771 1.91 1772 1.19 1773 -0.006 1774 0.364 1775 0.479 1776 0.254 1777 0.206 1778 0.628 1779 0.347 1780 0.225 1781 0.467 1782 0.439 1783 1.037 1784 1.335 1785 1.146 1786 0.674 1787 1.566 1788 0.789 1789 0.81 1790 1.033 1791 1.761 1792 1.229 1793 1.746 1794 0.653 1795 0.98 1796 0.611 1797 0.774 1798 0.879 1799 1.173 1800 1.442 1801 0.455 1802 0.735 1803 1.019 1804 1.197 1805 0.724 1806 0.225 1807 0.979 1808 1.288 1809 0.493 1810 1.184 1811 1.131 1812 1.288 1813 1.021 1814 0.439 1815 1.482 1816 1.879 1817 1.351 1818 0.267 1819 0.313 1820 0.705 1821 1.161 1822 0.066 1823 0.237 1824 0.552 1825 1.174 1826 0.806 1827 0.932 1828 1.526 1829 0.915 1830 1.521 1831 1.463 1832 1.905 1833 1.766 1834 1.691 1835 1.136 1836 0.947 1837 0.89 1838 1.086 1839 1.765 1840 1.287 1841 1.736 1842 0.478 1843 0.723 1844 1.006 1845 0.449 1846 0.783 1847 0.149 1848 0.738 1849 1.235 1850 0.956 1851 0.529 1852 1.268 1853 0.905 1854 0.627 1855 1.045 1856 1.065 1857 1.444 1858 1.584 1859 0.451 1860 0.765 1861 0.178 1862 0.451 1863 0.714 1864 0.291 1865 0.711 1866 1.132 1867 1.485 1868 2.426 1869 2.522 1870 1.625 1871 1.607 1872 1.907 1873 0.728 1874 0.937 1875 0.812 1876 0.746 1877 0.948 1878 0.42 1879 0.923 1880 0.265 1881 0.947 1882 0.694 1883 0.585 1884 1.195 1885 1.272 1886 1.553 1887 1.681 1888 1.286 1889 0.811 1890 0.586 1891 1.248 1892 1.276 1893 0.362 1894 0.912 1895 0.87 1896 0.296 1897 1.304 1898 0.975 1899 0.253 1900 0.45 1901 1.136 1902 -0.013 1903 1.206 1904 -0.013 1905 1.415 1906 0.981 1907 1.793 1908 1.262 1909 0.781 1910 0.829 1911 1.05 1912 1.594 1913 0.9 1914 1.123 1915 1.516 1916 1.605 1917 1.363 1918 0.497 1919 2.096 1920 1.683 1921 1.688 1922 0.365 1923 0.391 1924 1.143 1925 0.18 1926 1.25 1927 0.669 1928 0.736 1929 1.051 1930 1.187 1931 1.262 1932 1.751 1933 1.472 1934 0.521 1935 1.18 1936 0.945 1937 0.868 1938 0.266 1939 0.37 1940 0.66 1941 1.045 1942 1.213 1943 0.702 1944 1.027 1945 1.187 1946 -0.012 1947 0.29 1948 0.96 1949 1.356 1950 0.315 1951 -0.011 1952 1.1 1953 0.594 1954 1.032 1955 0.043 1956 -0.011 1957 0.505 1958 0.795 1959 -0.011 1960 1.455 1961 1.658 1962 1.083 1963 1.329 1964 0.362 1965 1.681 1966 0.979 1967 -0.011 1968 1.709 1969 1.405 1970 1.7 1971 0.333 1972 1.423