# northamerica_usa_az518 - Eagle Creek - 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/3352 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_az518 - Eagle Creek - 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: Eagle Creek # Location: # Country: United States # Northernmost_Latitude: 33.47 # Southernmost_Latitude: 33.47 # Easternmost_Longitude: -109.48 # Westernmost_Longitude: -109.48 # Elevation: 1694 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_az518B # Earliest_Year: 1794 # Most_Recent_Year: 1987 # 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":"3.95291992856","T2":"16.2026192236","M1":"0.0231158957683","M2":"0.470385566938"}} #-------------------- # 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 1794 0.388 1795 1.201 1796 1.559 1797 1.375 1798 0.855 1799 1.496 1800 1.068 1801 1.127 1802 1.426 1803 0.645 1804 1.203 1805 0.91 1806 0.63 1807 1.091 1808 0.569 1809 0.988 1810 1.163 1811 1.276 1812 0.994 1813 0.913 1814 1.073 1815 1.288 1816 1.814 1817 1.03 1818 0.342 1819 0.193 1820 0.235 1821 0.52 1822 0.355 1823 0.402 1824 0.816 1825 0.827 1826 0.825 1827 0.686 1828 0.858 1829 1.132 1830 1.211 1831 1.136 1832 1.503 1833 1.232 1834 1.4 1835 1.521 1836 1.23 1837 1.181 1838 1.319 1839 1.662 1840 1.271 1841 0.475 1842 0.825 1843 1.063 1844 1.283 1845 1.113 1846 1.282 1847 0.654 1848 1.215 1849 1.583 1850 1.296 1851 0.67 1852 1.066 1853 0.786 1854 0.875 1855 1.249 1856 1.326 1857 1.295 1858 1.065 1859 0.603 1860 1.035 1861 1.021 1862 1.046 1863 0.608 1864 0.303 1865 1.24 1866 1.357 1867 1.494 1868 1.682 1869 1.422 1870 1.195 1871 0.956 1872 0.915 1873 0.811 1874 1.275 1875 1.564 1876 0.971 1877 1.194 1878 0.509 1879 0.487 1880 0.393 1881 0.522 1882 0.819 1883 0.603 1884 0.79 1885 1.145 1886 1.082 1887 0.72 1888 0.913 1889 1.325 1890 1.476 1891 1.113 1892 0.771 1893 0.378 1894 0.232 1895 0.865 1896 1.03 1897 1.389 1898 1.451 1899 0.874 1900 0.234 1901 1.181 1902 0.061 1903 1.361 1904 -0.037 1905 1.215 1906 1.151 1907 1.595 1908 2.019 1909 1.348 1910 0.456 1911 1.3 1912 1.56 1913 0.874 1914 1.562 1915 1.657 1916 1.36 1917 1.802 1918 0.912 1919 1.579 1920 1.37 1921 0.199 1922 0.465 1923 -0.037 1924 0.409 1925 0.078 1926 1.099 1927 1.122 1928 0.803 1929 0.913 1930 1.083 1931 1.693 1932 1.436 1933 1.458 1934 0.318 1935 1.09 1936 0.938 1937 1.525 1938 1.127 1939 0.797 1940 1.412 1941 1.692 1942 1.063 1943 1.294 1944 0.827 1945 1.019 1946 0.504 1947 0.816 1948 0.537 1949 1.252 1950 0.452 1951 0.546 1952 1.38 1953 0.454 1954 0.847 1955 0.607 1956 0.216 1957 0.991 1958 1.061 1959 0.534 1960 0.938 1961 0.454 1962 0.757 1963 0.786 1964 0.838 1965 1.073 1966 0.955 1967 0.679 1968 1.119 1969 0.846 1970 1.194 1971 -0.037 1972 1.056 1973 1.238 1974 -0.037 1975 1.096 1976 0.865 1977 0.609 1978 1.012 1979 1.606 1980 1.438 1981 1.604 1982 1.418 1983 1.618 1984 1.012 1985 0.729 1986 0.719 1987 1.284