# northamerica_canada_cana236 - Grey Creek - 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/5515 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_canada_cana236 - Grey Creek - 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: Grey Creek # Location: # Country: Canada # Northernmost_Latitude: 49.62 # Southernmost_Latitude: 49.62 # Easternmost_Longitude: -116.65 # Westernmost_Longitude: -116.65 # Elevation: 2000 m #-------------------- # Data_Collection # Collection_Name: northamerica_canada_cana236B # Earliest_Year: 1860 # Most_Recent_Year: 1997 # 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":"5.06638327117","T2":"17.6888281953","M1":"0.0228330136039","M2":"0.387779363331"}} #-------------------- # Species # Species_Name: Engelmann spruce # Species_Code: PCEN #-------------------- # 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 1860 0.816 1861 0.97 1862 0.95 1863 1.096 1864 0.734 1865 1.055 1866 0.739 1867 0.515 1868 0.685 1869 0.724 1870 0.642 1871 0.974 1872 0.878 1873 0.877 1874 0.863 1875 0.862 1876 0.675 1877 0.897 1878 0.984 1879 0.779 1880 0.654 1881 0.653 1882 0.869 1883 0.855 1884 0.699 1885 1.012 1886 1.104 1887 0.706 1888 0.878 1889 1.031 1890 0.962 1891 0.984 1892 1.072 1893 0.977 1894 0.92 1895 1.063 1896 1.101 1897 1.076 1898 1.218 1899 0.922 1900 1.133 1901 1.193 1902 1.129 1903 1.19 1904 1.294 1905 1.135 1906 1.001 1907 1.069 1908 1.278 1909 1.165 1910 1.263 1911 1.177 1912 1.164 1913 1.214 1914 1.328 1915 0.931 1916 1.054 1917 1.212 1918 1.337 1919 1.355 1920 1.228 1921 1.074 1922 1.237 1923 1.063 1924 0.958 1925 1.314 1926 1.136 1927 0.899 1928 1.035 1929 0.965 1930 0.865 1931 0.984 1932 1.115 1933 1.161 1934 1.157 1935 1.056 1936 1.292 1937 1.155 1938 1.368 1939 1.038 1940 1.148 1941 1.076 1942 0.898 1943 1.079 1944 1.247 1945 1.336 1946 0.987 1947 1.1 1948 1.2 1949 1.076 1950 1.267 1951 1.135 1952 1.029 1953 1.289 1954 1.175 1955 1.165 1956 0.932 1957 1.095 1958 1.322 1959 0.898 1960 1.006 1961 1.216 1962 0.934 1963 1.077 1964 0.937 1965 1.201 1966 1.01 1967 1.163 1968 0.692 1969 0.674 1970 1.046 1971 0.646 1972 0.482 1973 0.991 1974 0.86 1975 1.021 1976 0.883 1977 1.06 1978 0.877 1979 0.9 1980 0.706 1981 0.698 1982 0.739 1983 0.641 1984 0.863 1985 0.752 1986 0.642 1987 0.818 1988 0.933 1989 0.994 1990 0.984 1991 0.714 1992 1.003 1993 0.606 1994 1.013 1995 0.675 1996 0.633 1997 0.573