# northamerica_usa_wa030 - Findley 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/2891 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_wa030 - Findley 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: Findley Lake # Location: # Country: United States # Northernmost_Latitude: 47.38 # Southernmost_Latitude: 47.38 # Easternmost_Longitude: -121.5 # Westernmost_Longitude: -121.5 # Elevation: 1270 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_wa030B # Earliest_Year: 1806 # Most_Recent_Year: 1976 # Time_Unit: y_ad # Core_Length: # Notes: {"database":{"database1":"LMR","database2":"Breits"}} {"climateInterpretation":{"basis":"", "climateVariable":"T", "climateVariableDetail":"air", "interpDirection":"positive", "seasonality":"[6, 7, 8]"}}{"VSLite_parameters":{"T1":"5.12707662919","T2":"16.0665017414","M1":"0.0226256993656","M2":"0.48908694162"}} #-------------------- # Species # Species_Name: mountain hemlock # Species_Code: TSME #-------------------- # 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 1806 0.887 1807 0.976 1808 0.846 1809 0.909 1810 0.618 1811 0.641 1812 0.77 1813 0.773 1814 0.988 1815 0.973 1816 1.012 1817 0.969 1818 0.917 1819 0.797 1820 0.871 1821 1.028 1822 1.074 1823 0.781 1824 1.013 1825 1.12 1826 0.918 1827 0.85 1828 1.065 1829 1.189 1830 0.882 1831 0.932 1832 0.94 1833 1.299 1834 1.386 1835 1.067 1836 0.882 1837 0.983 1838 0.872 1839 1.163 1840 0.864 1841 1.02 1842 0.809 1843 0.997 1844 0.959 1845 1.077 1846 1.206 1847 0.969 1848 0.915 1849 0.697 1850 0.758 1851 1.192 1852 0.908 1853 0.977 1854 0.939 1855 1.139 1856 0.894 1857 1.159 1858 1.15 1859 1.046 1860 1.399 1861 1.219 1862 1.066 1863 1.264 1864 1.037 1865 0.909 1866 0.889 1867 0.904 1868 1.122 1869 0.795 1870 0.776 1871 0.918 1872 1.106 1873 1.117 1874 1.293 1875 1.004 1876 0.581 1877 0.737 1878 0.845 1879 0.807 1880 0.794 1881 1.004 1882 0.929 1883 1.039 1884 1.108 1885 1.076 1886 1.128 1887 0.912 1888 1.073 1889 1.042 1890 0.843 1891 1.025 1892 0.939 1893 0.88 1894 0.911 1895 1.022 1896 0.839 1897 1.076 1898 1.137 1899 0.809 1900 1.223 1901 1.299 1902 1.279 1903 1.282 1904 1.238 1905 1.244 1906 0.965 1907 0.817 1908 0.818 1909 0.797 1910 1.114 1911 1.006 1912 1.022 1913 1.087 1914 1.34 1915 1.146 1916 0.946 1917 0.886 1918 0.946 1919 1.131 1920 0.985 1921 0.867 1922 0.86 1923 0.975 1924 1.078 1925 0.772 1926 0.944 1927 0.719 1928 0.566 1929 0.536 1930 0.527 1931 0.735 1932 0.856 1933 0.891 1934 1.149 1935 1.086 1936 1.003 1937 1.074 1938 1.08 1939 1.116 1940 0.867 1941 0.931 1942 0.484 1943 0.449 1944 0.703 1945 0.719 1946 0.89 1947 0.91 1948 0.956 1949 1.083 1950 1.043 1951 1.23 1952 1.009 1953 0.806 1954 0.874 1955 0.935 1956 0.902 1957 1.292 1958 1.487 1959 0.964 1960 0.913 1961 0.929 1962 0.828 1963 1.043 1964 1.247 1965 1.281 1966 1.466 1967 1.182 1968 0.951 1969 1.004 1970 1.456 1971 1.201 1972 0.995 1973 0.98 1974 0.909 1975 0.923 1976 0.975