# northamerica_canada_cana250 - Eye Lake Ridge - 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/6155 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_canada_cana250 - Eye Lake Ridge - 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: Eye Lake Ridge # Location: # Country: Canada # Northernmost_Latitude: 48.88 # Southernmost_Latitude: 48.88 # Easternmost_Longitude: -91.7 # Westernmost_Longitude: -91.7 # Elevation: 440 m #-------------------- # Data_Collection # Collection_Name: northamerica_canada_cana250B # Earliest_Year: 1827 # Most_Recent_Year: 2003 # 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":"3.66484190038","T2":"14.082983898","M1":"0.0226699145554","M2":"0.54811090107"}} #-------------------- # Species # Species_Name: eastern white pine # Species_Code: PIST #-------------------- # 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 1827 1.193 1828 1.577 1829 1.106 1830 0.96 1831 1.255 1832 1.218 1833 1.484 1834 1.752 1835 1.14 1836 1.418 1837 1.191 1838 1.019 1839 0.737 1840 0.769 1841 0.663 1842 0.603 1843 0.7 1844 0.709 1845 0.97 1846 1.063 1847 0.903 1848 1.121 1849 0.987 1850 1.055 1851 0.862 1852 0.659 1853 0.607 1854 0.694 1855 0.881 1856 1.11 1857 0.802 1858 0.797 1859 0.989 1860 0.895 1861 0.888 1862 0.644 1863 0.611 1864 0.648 1865 0.816 1866 1.103 1867 1.216 1868 1.128 1869 1.201 1870 1.133 1871 1.239 1872 1.386 1873 1.327 1874 1.18 1875 0.812 1876 0.836 1877 1.043 1878 0.95 1879 1.213 1880 0.887 1881 0.841 1882 0.954 1883 0.833 1884 0.891 1885 0.911 1886 0.827 1887 0.98 1888 0.722 1889 0.924 1890 0.759 1891 0.853 1892 0.97 1893 0.736 1894 0.643 1895 0.869 1896 0.88 1897 1.021 1898 1.116 1899 1.14 1900 1.033 1901 0.767 1902 0.876 1903 0.977 1904 0.867 1905 0.881 1906 0.795 1907 0.718 1908 0.773 1909 0.739 1910 0.573 1911 0.79 1912 0.887 1913 1.162 1914 1.279 1915 1.179 1916 0.84 1917 0.953 1918 0.777 1919 0.596 1920 0.805 1921 0.669 1922 1.052 1923 1.024 1924 1.139 1925 1.275 1926 1.11 1927 0.872 1928 1.0 1929 0.948 1930 0.892 1931 0.738 1932 1.112 1933 0.905 1934 1.132 1935 1.398 1936 0.81 1937 1.05 1938 1.305 1939 1.333 1940 1.22 1941 1.313 1942 1.585 1943 1.329 1944 1.533 1945 1.433 1946 1.086 1947 1.052 1948 0.802 1949 1.007 1950 1.055 1951 1.112 1952 1.125 1953 0.836 1954 0.692 1955 1.017 1956 0.792 1957 0.899 1958 1.186 1959 1.244 1960 1.31 1961 1.144 1962 1.455 1963 1.359 1964 1.424 1965 1.649 1966 0.964 1967 0.834 1968 0.942 1969 0.944 1970 0.672 1971 0.766 1972 0.83 1973 0.949 1974 0.783 1975 1.032 1976 0.856 1977 0.749 1978 0.774 1979 0.587 1980 0.701 1981 0.648 1982 0.647 1983 0.816 1984 0.941 1985 0.807 1986 0.912 1987 0.917 1988 1.125 1989 1.406 1990 1.255 1991 1.214 1992 0.97 1993 1.166 1994 0.941 1995 0.687 1996 0.783 1997 0.755 1998 0.697 1999 0.881 2000 0.993 2001 1.101 2002 1.026 2003 0.944