# northamerica_mexico_mexi038 - Rio Atoyac - 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/8587 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_mexico_mexi038 - Rio Atoyac - 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: Rio Atoyac # Location: # Country: Mexico # Northernmost_Latitude: 16.6 # Southernmost_Latitude: 16.6 # Easternmost_Longitude: -96.9 # Westernmost_Longitude: -96.9 # Elevation: 1493 m #-------------------- # Data_Collection # Collection_Name: northamerica_mexico_mexi038B # Earliest_Year: 1750 # Most_Recent_Year: 2005 # Time_Unit: y_ad # Core_Length: # Notes: {"database":{"database1":"LMR","database2":"Breits"}} {"climateInterpretation":{"basis":"", "climateVariable":"T", "climateVariableDetail":"air", "interpDirection":"positive", "seasonality":"[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]"}}{"VSLite_parameters":{"T1":"4.95344092175","T2":"12.0193315955","M1":"0.0222045156297","M2":"0.10608504583"}} #-------------------- # Species # Species_Name: Montezuma cypress # Species_Code: TAMU #-------------------- # 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 1750 1.083 1751 1.183 1752 1.464 1753 1.189 1754 1.179 1755 0.862 1756 0.917 1757 0.97 1758 0.922 1759 0.641 1760 0.652 1761 0.531 1762 0.777 1763 0.729 1764 0.835 1765 0.85 1766 0.696 1767 0.831 1768 0.856 1769 0.854 1770 0.546 1771 0.47 1772 0.638 1773 0.561 1774 0.603 1775 0.824 1776 1.008 1777 0.906 1778 1.114 1779 0.551 1780 0.33 1781 0.654 1782 0.598 1783 0.544 1784 0.758 1785 0.627 1786 0.751 1787 0.757 1788 0.839 1789 0.808 1790 0.87 1791 0.726 1792 0.679 1793 0.577 1794 0.446 1795 0.81 1796 0.898 1797 0.858 1798 0.557 1799 0.518 1800 0.599 1801 1.003 1802 1.529 1803 1.144 1804 0.85 1805 1.469 1806 1.788 1807 1.256 1808 0.97 1809 1.533 1810 0.922 1811 0.796 1812 1.465 1813 1.428 1814 1.12 1815 0.868 1816 0.816 1817 0.812 1818 1.065 1819 1.2 1820 1.379 1821 0.814 1822 0.926 1823 0.755 1824 0.727 1825 0.94 1826 1.347 1827 1.04 1828 1.473 1829 1.103 1830 1.45 1831 1.137 1832 1.817 1833 1.586 1834 1.47 1835 1.19 1836 1.103 1837 0.961 1838 1.167 1839 0.802 1840 1.435 1841 1.193 1842 1.559 1843 1.094 1844 1.305 1845 1.208 1846 1.077 1847 1.352 1848 1.586 1849 0.99 1850 0.794 1851 0.913 1852 1.614 1853 1.322 1854 1.299 1855 2.172 1856 1.553 1857 1.728 1858 1.221 1859 0.881 1860 1.208 1861 1.182 1862 1.782 1863 1.772 1864 0.998 1865 0.998 1866 0.916 1867 0.758 1868 0.916 1869 1.258 1870 1.102 1871 1.062 1872 0.767 1873 0.756 1874 0.802 1875 0.904 1876 0.679 1877 0.838 1878 0.624 1879 0.772 1880 0.975 1881 0.732 1882 0.804 1883 0.704 1884 0.704 1885 0.431 1886 0.504 1887 0.84 1888 0.541 1889 0.749 1890 0.561 1891 0.691 1892 0.728 1893 0.873 1894 1.076 1895 0.572 1896 0.488 1897 0.403 1898 0.573 1899 0.717 1900 0.532 1901 0.664 1902 0.885 1903 0.721 1904 1.056 1905 0.767 1906 0.62 1907 0.732 1908 0.528 1909 0.571 1910 0.636 1911 0.658 1912 0.357 1913 0.604 1914 1.096 1915 1.143 1916 1.069 1917 0.884 1918 1.102 1919 0.795 1920 0.921 1921 0.851 1922 0.781 1923 0.758 1924 0.544 1925 1.179 1926 0.772 1927 1.033 1928 1.042 1929 1.131 1930 0.959 1931 0.747 1932 1.124 1933 0.912 1934 1.657 1935 1.011 1936 0.98 1937 1.122 1938 1.057 1939 1.4 1940 1.235 1941 0.721 1942 0.719 1943 1.034 1944 0.82 1945 1.026 1946 0.848 1947 0.641 1948 0.918 1949 0.539 1950 1.029 1951 0.823 1952 0.422 1953 0.865 1954 0.769 1955 1.21 1956 1.966 1957 0.871 1958 0.876 1959 1.046 1960 0.81 1961 0.865 1962 0.892 1963 0.724 1964 0.682 1965 0.685 1966 0.888 1967 0.916 1968 0.834 1969 0.427 1970 0.83 1971 0.797 1972 0.733 1973 0.442 1974 0.927 1975 0.959 1976 0.905 1977 0.774 1978 0.798 1979 0.67 1980 0.7 1981 0.653 1982 0.919 1983 0.82 1984 0.496 1985 0.952 1986 0.56 1987 0.573 1988 0.325 1989 0.674 1990 0.785 1991 0.506 1992 1.2 1993 0.69 1994 0.994 1995 0.865 1996 1.744 1997 1.22 1998 1.599 1999 1.445 2000 1.584 2001 1.232 2002 0.877 2003 1.349 2004 1.689 2005 1.315