# northamerica_usa_co551 - Alto Picnic Ground - 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/3340 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_co551 - Alto Picnic Ground - 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: Alto Picnic Ground # Location: # Country: United States # Northernmost_Latitude: 40.05 # Southernmost_Latitude: 40.05 # Easternmost_Longitude: -105.43 # Westernmost_Longitude: -105.43 # Elevation: 2560 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_co551B # Earliest_Year: 1778 # 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":"2.85847264354","T2":"15.2782425618","M1":"0.0229499569874","M2":"0.529275977885"}} #-------------------- # 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 1778 0.861 1779 1.025 1780 1.182 1781 0.999 1782 0.865 1783 1.167 1784 1.099 1785 1.044 1786 1.111 1787 1.403 1788 0.834 1789 0.698 1790 1.097 1791 1.11 1792 1.272 1793 1.344 1794 1.342 1795 0.988 1796 1.289 1797 1.082 1798 0.879 1799 1.049 1800 1.245 1801 0.836 1802 1.059 1803 1.098 1804 1.056 1805 0.867 1806 1.233 1807 0.774 1808 1.268 1809 0.806 1810 0.822 1811 0.794 1812 0.858 1813 0.807 1814 0.961 1815 1.148 1816 1.176 1817 0.878 1818 0.782 1819 0.727 1820 0.78 1821 0.485 1822 0.736 1823 0.733 1824 0.518 1825 1.03 1826 1.057 1827 1.161 1828 1.195 1829 1.157 1830 1.432 1831 0.996 1832 1.295 1833 1.148 1834 1.143 1835 1.452 1836 1.309 1837 1.41 1838 1.569 1839 1.434 1840 1.197 1841 1.173 1842 0.425 1843 0.861 1844 0.968 1845 0.783 1846 0.731 1847 0.46 1848 0.452 1849 0.771 1850 0.557 1851 0.309 1852 0.682 1853 0.919 1854 1.008 1855 0.77 1856 0.568 1857 0.778 1858 1.192 1859 0.623 1860 0.737 1861 0.456 1862 0.657 1863 0.474 1864 0.767 1865 0.625 1866 1.065 1867 0.868 1868 1.081 1869 1.243 1870 1.007 1871 0.847 1872 0.791 1873 1.063 1874 0.618 1875 1.077 1876 1.083 1877 0.616 1878 0.97 1879 0.513 1880 0.25 1881 0.978 1882 0.835 1883 1.352 1884 1.145 1885 1.108 1886 0.984 1887 0.462 1888 0.718 1889 1.106 1890 1.101 1891 1.425 1892 1.036 1893 0.776 1894 1.729 1895 1.16 1896 0.72 1897 1.3 1898 1.23 1899 0.95 1900 1.135 1901 1.153 1902 0.758 1903 1.141 1904 1.302 1905 1.142 1906 1.359 1907 1.889 1908 1.859 1909 1.803 1910 1.258 1911 1.538 1912 1.223 1913 1.271 1914 1.705 1915 1.72 1916 1.549 1917 1.129 1918 1.665 1919 1.198 1920 0.933 1921 1.685 1922 1.233 1923 1.655 1924 1.055 1925 0.811 1926 1.368 1927 0.745 1928 1.295 1929 0.965 1930 1.028 1931 0.868 1932 0.617 1933 1.054 1934 0.886 1935 0.95 1936 0.895 1937 0.989 1938 1.279 1939 0.456 1940 0.957 1941 1.144 1942 1.126 1943 1.211 1944 0.871 1945 1.17 1946 0.697 1947 1.344 1948 1.045 1949 1.312 1950 0.866 1951 1.272 1952 1.051 1953 0.94 1954 0.294 1955 0.789 1956 0.501 1957 0.653 1958 0.92 1959 0.79 1960 0.632 1961 0.788 1962 0.941 1963 0.517 1964 0.518 1965 0.766 1966 0.48 1967 1.25 1968 0.77 1969 1.271 1970 1.029 1971 0.798 1972 0.704 1973 0.747 1974 0.647 1975 0.975 1976 0.731 1977 0.684 1978 0.666 1979 0.602 1980 0.419 1981 0.738 1982 0.547 1983 0.715 1984 0.644 1985 1.006 1986 0.975 1987 0.798