# northamerica_usa_ak018 - Kenai Lowlands - 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/5243 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_ak018 - Kenai Lowlands - 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: Kenai Lowlands # Location: # Country: United States # Northernmost_Latitude: 59.68 # Southernmost_Latitude: 59.68 # Easternmost_Longitude: -151.42 # Westernmost_Longitude: -151.42 # Elevation: 20 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_ak018B # Earliest_Year: 1753 # Most_Recent_Year: 1988 # 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":"2.11722292186","T2":"12.0405251232","M1":"0.0238767000966","M2":"0.59820925731"}} #-------------------- # Species # Species_Name: Sitka spruce # Species_Code: PCSI #-------------------- # 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 1753 0.595 1754 0.613 1755 0.525 1756 0.415 1757 0.5 1758 0.458 1759 0.611 1760 0.878 1761 0.784 1762 0.785 1763 0.575 1764 0.588 1765 0.666 1766 0.817 1767 0.721 1768 0.803 1769 0.785 1770 0.402 1771 0.544 1772 1.126 1773 1.179 1774 1.414 1775 1.141 1776 1.62 1777 1.491 1778 1.279 1779 1.407 1780 1.237 1781 1.252 1782 1.613 1783 1.254 1784 1.602 1785 1.606 1786 1.724 1787 1.424 1788 1.31 1789 0.932 1790 0.877 1791 0.979 1792 1.064 1793 1.184 1794 1.651 1795 2.021 1796 1.821 1797 1.975 1798 1.636 1799 1.409 1800 1.058 1801 1.128 1802 1.07 1803 1.076 1804 0.886 1805 0.972 1806 0.97 1807 0.887 1808 0.978 1809 0.812 1810 0.698 1811 0.645 1812 0.625 1813 0.432 1814 0.416 1815 0.456 1816 0.488 1817 0.547 1818 0.637 1819 0.873 1820 0.972 1821 1.208 1822 1.108 1823 0.997 1824 1.124 1825 0.94 1826 0.865 1827 0.949 1828 0.955 1829 1.086 1830 0.854 1831 0.845 1832 1.009 1833 0.7 1834 0.758 1835 1.024 1836 0.952 1837 0.842 1838 1.042 1839 1.004 1840 1.114 1841 1.191 1842 0.653 1843 0.793 1844 0.736 1845 0.855 1846 0.983 1847 0.851 1848 0.715 1849 0.728 1850 0.56 1851 0.528 1852 0.627 1853 0.593 1854 0.63 1855 0.583 1856 0.45 1857 0.465 1858 0.474 1859 0.554 1860 0.532 1861 0.483 1862 0.414 1863 0.539 1864 0.449 1865 0.382 1866 0.358 1867 0.383 1868 0.364 1869 0.312 1870 0.356 1871 0.317 1872 0.386 1873 0.339 1874 0.323 1875 0.368 1876 0.302 1877 0.346 1878 0.448 1879 0.358 1880 0.527 1881 0.588 1882 0.579 1883 0.962 1884 1.266 1885 1.253 1886 1.674 1887 1.595 1888 1.605 1889 1.255 1890 1.56 1891 1.908 1892 1.593 1893 1.722 1894 1.022 1895 0.824 1896 0.764 1897 0.825 1898 0.82 1899 0.995 1900 1.218 1901 1.087 1902 1.126 1903 0.911 1904 0.858 1905 0.963 1906 0.895 1907 0.989 1908 1.055 1909 1.085 1910 0.936 1911 1.047 1912 1.097 1913 1.275 1914 1.237 1915 1.425 1916 1.263 1917 1.265 1918 1.346 1919 1.165 1920 1.142 1921 1.114 1922 1.143 1923 1.518 1924 1.357 1925 1.448 1926 1.52 1927 1.204 1928 1.403 1929 1.643 1930 1.474 1931 1.543 1932 1.489 1933 1.56 1934 1.41 1935 1.528 1936 1.372 1937 0.922 1938 1.209 1939 1.139 1940 1.325 1941 1.239 1942 1.269 1943 1.455 1944 1.344 1945 1.158 1946 1.098 1947 1.028 1948 1.094 1949 1.043 1950 0.738 1951 0.712 1952 0.609 1953 0.673 1954 0.499 1955 0.602 1956 0.635 1957 0.746 1958 0.656 1959 0.811 1960 0.747 1961 1.089 1962 1.067 1963 0.913 1964 0.849 1965 0.761 1966 0.809 1967 0.653 1968 0.774 1969 0.65 1970 0.613 1971 0.694 1972 0.521 1973 0.528 1974 0.577 1975 0.476 1976 0.504 1977 0.598 1978 0.598 1979 0.78 1980 0.75 1981 1.117 1982 0.954 1983 1.101 1984 0.913 1985 0.984 1986 1.108 1987 0.859 1988 1.018