# northamerica_canada_cana181 - Kildonan Park - 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/4792 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_canada_cana181 - Kildonan Park - 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: Kildonan Park # Location: # Country: Canada # Northernmost_Latitude: 49.93 # Southernmost_Latitude: 49.93 # Easternmost_Longitude: -97.1 # Westernmost_Longitude: -97.1 # Elevation: 230 m #-------------------- # Data_Collection # Collection_Name: northamerica_canada_cana181B # Earliest_Year: 1850 # Most_Recent_Year: 1999 # 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":"5.03762009405","T2":"16.42082317","M1":"0.0229637409464","M2":"0.501376869521"}} #-------------------- # Species # Species_Name: burr oak # Species_Code: QUMA #-------------------- # 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 1850 1.288 1851 0.716 1852 0.66 1853 0.937 1854 1.175 1855 1.216 1856 1.188 1857 1.13 1858 1.12 1859 1.081 1860 1.136 1861 1.221 1862 0.942 1863 0.577 1864 0.46 1865 0.563 1866 1.019 1867 0.863 1868 0.715 1869 0.763 1870 0.78 1871 0.736 1872 0.88 1873 0.834 1874 0.858 1875 0.496 1876 0.609 1877 1.049 1878 0.96 1879 1.214 1880 1.249 1881 1.18 1882 1.205 1883 0.872 1884 1.153 1885 1.566 1886 1.061 1887 0.94 1888 0.908 1889 0.559 1890 1.094 1891 1.357 1892 1.684 1893 1.62 1894 1.511 1895 1.451 1896 1.714 1897 1.173 1898 1.424 1899 1.459 1900 0.84 1901 1.404 1902 1.384 1903 0.873 1904 1.203 1905 1.277 1906 0.959 1907 0.862 1908 0.742 1909 1.012 1910 0.82 1911 0.926 1912 0.981 1913 1.083 1914 0.948 1915 0.494 1916 0.986 1917 0.516 1918 0.876 1919 0.816 1920 0.919 1921 0.905 1922 1.069 1923 1.36 1924 0.909 1925 1.1 1926 0.884 1927 1.033 1928 1.1 1929 1.034 1930 0.867 1931 0.675 1932 0.722 1933 0.919 1934 1.163 1935 1.272 1936 0.856 1937 0.97 1938 0.87 1939 0.959 1940 0.919 1941 1.061 1942 0.932 1943 1.022 1944 1.168 1945 1.265 1946 0.707 1947 1.121 1948 1.23 1949 1.286 1950 1.419 1951 0.908 1952 0.992 1953 1.305 1954 1.246 1955 0.872 1956 0.786 1957 0.95 1958 0.775 1959 0.74 1960 0.619 1961 0.644 1962 0.649 1963 0.758 1964 0.59 1965 0.662 1966 0.673 1967 0.659 1968 0.652 1969 0.714 1970 0.612 1971 0.798 1972 0.756 1973 0.898 1974 0.776 1975 0.983 1976 0.778 1977 0.967 1978 1.292 1979 1.111 1980 0.642 1981 1.106 1982 0.803 1983 0.682 1984 0.483 1985 0.638 1986 1.082 1987 1.013 1988 1.098 1989 1.307 1990 1.178 1991 0.868 1992 1.153 1993 1.502 1994 1.496 1995 1.337 1996 1.369 1997 0.983 1998 1.386 1999 1.587