# northamerica_usa_ak048 - Chimney Lake - 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/5255 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_ak048 - Chimney Lake - 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: Chimney Lake # Location: # Country: United States # Northernmost_Latitude: 67.12 # Southernmost_Latitude: 67.12 # Easternmost_Longitude: -150.08 # Westernmost_Longitude: -150.08 # Elevation: 100 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_ak048B # Earliest_Year: 1789 # Most_Recent_Year: 2001 # 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":"6.81138607708","T2":"17.5916261702","M1":"0.0223043787656","M2":"0.386347159167"}} #-------------------- # Species # Species_Name: white spruce # Species_Code: PCGL #-------------------- # 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 1789 0.813 1790 0.94 1791 1.753 1792 1.29 1793 0.953 1794 0.959 1795 0.948 1796 0.813 1797 0.831 1798 0.745 1799 0.516 1800 0.554 1801 0.645 1802 0.625 1803 0.861 1804 0.881 1805 0.86 1806 0.976 1807 0.952 1808 1.011 1809 0.62 1810 0.787 1811 0.925 1812 0.603 1813 0.674 1814 0.474 1815 0.437 1816 0.365 1817 0.452 1818 0.673 1819 0.517 1820 0.537 1821 0.564 1822 0.71 1823 0.871 1824 1.142 1825 1.005 1826 0.953 1827 0.837 1828 1.039 1829 1.272 1830 1.113 1831 1.017 1832 1.138 1833 0.966 1834 0.8 1835 0.67 1836 0.725 1837 1.023 1838 1.241 1839 1.073 1840 1.458 1841 1.054 1842 1.214 1843 1.05 1844 1.202 1845 0.899 1846 1.062 1847 0.803 1848 0.947 1849 0.775 1850 0.587 1851 0.733 1852 0.753 1853 1.054 1854 1.116 1855 1.304 1856 0.816 1857 0.968 1858 0.924 1859 0.884 1860 0.944 1861 1.096 1862 1.168 1863 1.007 1864 1.019 1865 1.364 1866 1.109 1867 1.39 1868 0.864 1869 0.704 1870 0.832 1871 0.761 1872 0.715 1873 0.877 1874 1.117 1875 1.157 1876 1.272 1877 1.277 1878 1.041 1879 1.108 1880 1.033 1881 1.192 1882 1.189 1883 0.857 1884 0.893 1885 1.265 1886 0.919 1887 0.952 1888 0.985 1889 1.217 1890 1.199 1891 1.259 1892 1.164 1893 0.928 1894 0.983 1895 1.218 1896 1.114 1897 1.241 1898 0.906 1899 0.652 1900 0.715 1901 0.907 1902 0.937 1903 0.836 1904 0.748 1905 0.823 1906 1.069 1907 0.956 1908 1.004 1909 0.895 1910 0.906 1911 0.915 1912 0.653 1913 0.934 1914 0.819 1915 0.873 1916 0.771 1917 0.99 1918 0.97 1919 0.481 1920 0.955 1921 1.028 1922 0.75 1923 1.298 1924 0.849 1925 1.06 1926 1.126 1927 0.977 1928 0.875 1929 1.216 1930 1.259 1931 0.889 1932 1.081 1933 0.737 1934 1.09 1935 1.29 1936 1.24 1937 1.165 1938 0.862 1939 1.188 1940 0.759 1941 1.071 1942 1.163 1943 1.209 1944 1.297 1945 1.051 1946 1.109 1947 0.846 1948 0.754 1949 0.638 1950 0.809 1951 0.789 1952 0.995 1953 0.971 1954 1.069 1955 1.024 1956 0.807 1957 0.969 1958 1.082 1959 0.943 1960 1.188 1961 0.966 1962 1.158 1963 0.885 1964 1.15 1965 0.957 1966 0.91 1967 1.099 1968 1.068 1969 0.721 1970 0.619 1971 1.043 1972 0.979 1973 0.725 1974 0.748 1975 0.915 1976 0.8 1977 1.161 1978 0.894 1979 1.086 1980 1.289 1981 0.995 1982 1.31 1983 1.11 1984 1.281 1985 1.239 1986 1.143 1987 0.806 1988 0.878 1989 0.764 1990 0.972 1991 0.985 1992 0.991 1993 0.62 1994 0.669 1995 0.69 1996 1.021 1997 1.027 1998 0.951 1999 0.863 2000 0.874 2001 0.763