# northamerica_usa_wa096 - Hoh Lake Medium - 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/4141 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_wa096 - Hoh Lake Medium - 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: Hoh Lake Medium # Location: # Country: United States # Northernmost_Latitude: 47.9 # Southernmost_Latitude: 47.9 # Easternmost_Longitude: -123.75 # Westernmost_Longitude: -123.75 # Elevation: 1315 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_wa096B # Earliest_Year: 1824 # Most_Recent_Year: 1992 # 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":"4.52513275838","T2":"17.4660930679","M1":"0.0225138180321","M2":"0.348069867084"}} #-------------------- # 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 1824 0.662 1825 0.907 1826 0.799 1827 0.818 1828 0.877 1829 1.014 1830 0.855 1831 0.927 1832 0.827 1833 0.766 1834 1.088 1835 0.947 1836 1.018 1837 0.857 1838 0.753 1839 1.155 1840 0.91 1841 1.151 1842 0.891 1843 1.377 1844 1.369 1845 1.188 1846 1.544 1847 1.223 1848 1.11 1849 0.877 1850 0.745 1851 1.002 1852 1.028 1853 0.905 1854 0.817 1855 1.014 1856 0.9 1857 0.95 1858 1.023 1859 0.649 1860 1.319 1861 0.977 1862 0.879 1863 0.963 1864 0.851 1865 0.737 1866 0.696 1867 0.69 1868 1.044 1869 0.972 1870 0.731 1871 0.811 1872 1.001 1873 0.967 1874 1.128 1875 1.143 1876 0.861 1877 1.209 1878 1.11 1879 0.912 1880 0.756 1881 1.336 1882 0.976 1883 1.155 1884 1.25 1885 1.04 1886 1.141 1887 0.918 1888 1.29 1889 1.267 1890 1.122 1891 1.268 1892 0.964 1893 1.127 1894 1.122 1895 1.314 1896 0.936 1897 1.262 1898 1.06 1899 0.656 1900 1.345 1901 1.34 1902 1.248 1903 1.133 1904 1.337 1905 1.501 1906 1.092 1907 1.018 1908 0.86 1909 0.957 1910 1.248 1911 1.036 1912 1.168 1913 0.936 1914 1.367 1915 1.224 1916 0.925 1917 1.11 1918 1.251 1919 0.997 1920 0.995 1921 0.855 1922 0.899 1923 1.061 1924 1.054 1925 1.034 1926 1.084 1927 0.932 1928 1.259 1929 1.106 1930 1.216 1931 1.04 1932 0.86 1933 0.88 1934 1.217 1935 1.271 1936 1.002 1937 0.968 1938 0.922 1939 1.043 1940 1.122 1941 1.157 1942 0.736 1943 0.847 1944 0.951 1945 0.768 1946 0.601 1947 0.804 1948 0.901 1949 0.975 1950 1.291 1951 1.284 1952 0.773 1953 0.848 1954 0.649 1955 0.863 1956 0.881 1957 1.147 1958 1.073 1959 0.606 1960 0.708 1961 0.804 1962 0.722 1963 1.102 1964 0.989 1965 1.395 1966 1.277 1967 1.111 1968 0.859 1969 0.701 1970 0.944 1971 0.709 1972 0.694 1973 0.761 1974 0.51 1975 0.788 1976 0.652 1977 1.04 1978 1.03 1979 1.02 1980 1.017 1981 0.952 1982 0.677 1983 1.011 1984 1.213 1985 1.102 1986 0.999 1987 0.834 1988 0.765 1989 0.934 1990 1.082 1991 0.876 1992 1.054