# northamerica_usa_az078 - Oak Creek (Apache Reservior) - 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/3092 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_az078 - Oak Creek (Apache Reservior) - 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: Oak Creek (Apache Reservior) # Location: # Country: United States # Northernmost_Latitude: 34.05 # Southernmost_Latitude: 34.05 # Easternmost_Longitude: -110.67 # Westernmost_Longitude: -110.67 # Elevation: 1700 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_az078B # Earliest_Year: 1810 # Most_Recent_Year: 1971 # 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":"4.15866711177","T2":"15.5018095943","M1":"0.0230715674849","M2":"0.466239887389"}} #-------------------- # 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 1810 1.117 1811 1.02 1812 0.997 1813 0.497 1814 0.778 1815 0.99 1816 1.14 1817 1.118 1818 0.892 1819 0.83 1820 0.378 1821 0.817 1822 0.819 1823 0.484 1824 0.747 1825 1.402 1826 1.448 1827 1.113 1828 1.22 1829 0.92 1830 1.064 1831 1.039 1832 1.291 1833 1.245 1834 1.254 1835 1.103 1836 1.133 1837 1.041 1838 1.137 1839 1.266 1840 0.861 1841 0.544 1842 0.543 1843 0.694 1844 1.067 1845 0.422 1846 0.782 1847 0.113 1848 0.96 1849 1.365 1850 1.431 1851 1.214 1852 1.377 1853 1.087 1854 1.011 1855 1.081 1856 0.827 1857 0.422 1858 0.975 1859 0.536 1860 1.015 1861 0.575 1862 1.062 1863 0.783 1864 0.463 1865 1.125 1866 1.428 1867 1.542 1868 1.146 1869 0.919 1870 0.697 1871 0.163 1872 0.777 1873 0.809 1874 1.295 1875 1.52 1876 1.076 1877 1.141 1878 1.124 1879 0.939 1880 0.741 1881 0.449 1882 0.958 1883 0.952 1884 1.455 1885 1.659 1886 1.196 1887 0.711 1888 1.143 1889 1.192 1890 1.539 1891 1.49 1892 0.852 1893 0.579 1894 0.467 1895 1.001 1896 1.128 1897 1.461 1898 1.191 1899 1.078 1900 0.602 1901 1.168 1902 0.391 1903 1.137 1904 -0.001 1905 1.847 1906 2.117 1907 2.082 1908 2.357 1909 1.928 1910 0.974 1911 1.738 1912 1.236 1913 0.683 1914 1.049 1915 1.321 1916 1.369 1917 1.254 1918 0.549 1919 1.32 1920 1.463 1921 0.613 1922 0.657 1923 0.339 1924 0.565 1925 0.446 1926 0.728 1927 0.767 1928 0.603 1929 0.982 1930 0.807 1931 1.01 1932 1.101 1933 0.94 1934 0.218 1935 0.935 1936 0.622 1937 1.234 1938 0.644 1939 0.513 1940 0.617 1941 1.239 1942 0.866 1943 0.825 1944 0.806 1945 0.65 1946 -0.008 1947 0.509 1948 0.437 1949 0.793 1950 0.657 1951 0.818 1952 1.434 1953 1.031 1954 1.059 1955 0.484 1956 0.283 1957 0.901 1958 0.932 1959 0.622 1960 1.454 1961 0.773 1962 1.102 1963 0.799 1964 0.77 1965 1.415 1966 1.494 1967 1.112 1968 1.415 1969 1.576 1970 0.991 1971 1.021