# northamerica_mexico_mexi025 - Creel International Airport - 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/4835 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_mexico_mexi025 - Creel International Airport - 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: Creel International Airport # Location: # Country: Mexico # Northernmost_Latitude: 27.7 # Southernmost_Latitude: 27.7 # Easternmost_Longitude: -107.62 # Westernmost_Longitude: -107.62 # Elevation: 2200 m #-------------------- # Data_Collection # Collection_Name: northamerica_mexico_mexi025B # Earliest_Year: 1741 # Most_Recent_Year: 1993 # 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":"3.40592644397","T2":"14.6568847775","M1":"0.0232137148628","M2":"0.529587135155"}} #-------------------- # Species # Species_Name: Douglas fir # Species_Code: PSME #-------------------- # 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 1741 1.086 1742 0.564 1743 1.005 1744 1.136 1745 0.92 1746 1.321 1747 1.314 1748 0.856 1749 1.228 1750 1.118 1751 1.022 1752 0.711 1753 0.713 1754 0.772 1755 0.715 1756 1.051 1757 0.873 1758 0.706 1759 0.792 1760 0.679 1761 0.705 1762 0.702 1763 0.458 1764 0.844 1765 0.805 1766 0.747 1767 0.806 1768 0.722 1769 1.151 1770 1.138 1771 1.038 1772 0.603 1773 0.76 1774 0.903 1775 0.89 1776 0.995 1777 1.022 1778 0.933 1779 1.089 1780 1.005 1781 0.96 1782 0.944 1783 0.877 1784 1.173 1785 0.644 1786 0.865 1787 0.827 1788 1.008 1789 0.748 1790 0.764 1791 1.233 1792 1.197 1793 1.275 1794 1.112 1795 1.172 1796 1.494 1797 0.971 1798 0.77 1799 0.956 1800 1.156 1801 0.706 1802 0.943 1803 0.98 1804 0.991 1805 0.732 1806 1.018 1807 1.053 1808 0.769 1809 0.895 1810 0.97 1811 0.985 1812 0.847 1813 1.17 1814 1.139 1815 1.211 1816 1.458 1817 1.182 1818 1.254 1819 0.893 1820 0.649 1821 0.852 1822 0.997 1823 1.25 1824 1.104 1825 1.198 1826 0.903 1827 1.333 1828 1.083 1829 1.297 1830 1.113 1831 0.73 1832 0.751 1833 1.172 1834 1.004 1835 0.996 1836 1.103 1837 1.023 1838 0.872 1839 1.144 1840 0.779 1841 0.816 1842 0.852 1843 0.985 1844 1.179 1845 1.093 1846 1.01 1847 0.892 1848 1.071 1849 1.049 1850 1.112 1851 0.988 1852 1.282 1853 1.112 1854 0.7 1855 0.669 1856 1.172 1857 0.82 1858 1.2 1859 0.994 1860 0.625 1861 1.136 1862 0.76 1863 0.807 1864 0.978 1865 1.002 1866 1.102 1867 1.098 1868 1.103 1869 1.487 1870 1.172 1871 1.107 1872 1.196 1873 1.12 1874 1.016 1875 1.165 1876 0.903 1877 0.923 1878 0.823 1879 0.881 1880 0.684 1881 1.131 1882 1.118 1883 1.085 1884 0.978 1885 1.224 1886 1.017 1887 0.661 1888 1.346 1889 1.34 1890 1.093 1891 0.888 1892 0.711 1893 0.356 1894 0.684 1895 1.101 1896 1.029 1897 1.077 1898 1.086 1899 0.866 1900 1.177 1901 1.055 1902 0.745 1903 1.359 1904 0.652 1905 1.433 1906 1.254 1907 0.968 1908 0.956 1909 0.904 1910 0.565 1911 0.773 1912 0.89 1913 1.029 1914 1.018 1915 1.007 1916 0.783 1917 0.825 1918 0.799 1919 1.159 1920 1.138 1921 0.79 1922 0.953 1923 0.893 1924 1.318 1925 0.863 1926 1.406 1927 1.014 1928 1.413 1929 0.757 1930 1.077 1931 1.105 1932 1.055 1933 1.289 1934 0.725 1935 1.039 1936 0.834 1937 0.793 1938 1.066 1939 0.67 1940 1.006 1941 0.945 1942 1.026 1943 0.74 1944 1.316 1945 0.813 1946 0.675 1947 1.206 1948 0.844 1949 1.087 1950 0.956 1951 0.487 1952 1.066 1953 0.728 1954 0.43 1955 0.784 1956 0.645 1957 0.7 1958 0.955 1959 0.806 1960 0.94 1961 0.901 1962 0.975 1963 0.796 1964 1.019 1965 0.871 1966 1.098 1967 0.917 1968 1.456 1969 1.084 1970 1.16 1971 0.948 1972 1.233 1973 1.476 1974 0.676 1975 1.297 1976 0.737 1977 1.094 1978 0.535 1979 1.338 1980 0.351 1981 1.379 1982 0.522 1983 1.201 1984 1.061 1985 1.339 1986 0.818 1987 1.355 1988 0.946 1989 0.981 1990 0.959 1991 1.047 1992 1.387 1993 1.084