# northamerica_canada_cana291 - Prelude 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/8581 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_canada_cana291 - Prelude 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: Prelude Lake # Location: # Country: Canada # Northernmost_Latitude: 62.55 # Southernmost_Latitude: 62.55 # Easternmost_Longitude: -113.85 # Westernmost_Longitude: -113.85 # Elevation: 197 m #-------------------- # Data_Collection # Collection_Name: northamerica_canada_cana291B # Earliest_Year: 1863 # Most_Recent_Year: 2005 # 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":"4.89992637412","T2":"16.2724789496","M1":"0.0230104392496","M2":"0.443030197211"}} #-------------------- # Species # Species_Name: jack pine # Species_Code: PIBN #-------------------- # 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 1863 1.093 1864 0.701 1865 0.71 1866 1.296 1867 1.146 1868 0.991 1869 0.758 1870 1.532 1871 1.415 1872 1.366 1873 1.052 1874 0.877 1875 0.695 1876 0.781 1877 0.892 1878 0.954 1879 0.828 1880 1.104 1881 0.344 1882 0.331 1883 0.392 1884 0.487 1885 0.768 1886 0.523 1887 0.974 1888 0.802 1889 1.346 1890 0.999 1891 0.838 1892 1.224 1893 0.647 1894 1.433 1895 1.267 1896 1.047 1897 0.885 1898 1.496 1899 1.257 1900 1.054 1901 1.139 1902 0.917 1903 1.251 1904 0.682 1905 0.927 1906 1.431 1907 1.612 1908 1.156 1909 1.396 1910 1.335 1911 1.201 1912 1.028 1913 1.048 1914 0.828 1915 0.898 1916 0.718 1917 0.834 1918 0.993 1919 1.336 1920 0.902 1921 0.951 1922 1.579 1923 1.026 1924 1.258 1925 0.954 1926 1.074 1927 0.45 1928 0.476 1929 0.946 1930 0.926 1931 1.014 1932 1.369 1933 1.205 1934 1.037 1935 0.936 1936 0.76 1937 0.782 1938 0.677 1939 0.747 1940 0.661 1941 1.142 1942 0.562 1943 0.862 1944 0.895 1945 0.847 1946 0.734 1947 0.469 1948 0.927 1949 0.746 1950 0.596 1951 1.214 1952 0.781 1953 0.789 1954 0.829 1955 0.979 1956 1.083 1957 1.409 1958 0.684 1959 0.932 1960 1.1 1961 0.771 1962 1.067 1963 1.224 1964 0.817 1965 1.188 1966 0.965 1967 0.767 1968 0.694 1969 0.475 1970 0.911 1971 0.734 1972 0.745 1973 0.641 1974 1.254 1975 0.617 1976 1.083 1977 0.918 1978 0.906 1979 1.004 1980 1.114 1981 1.268 1982 0.839 1983 1.022 1984 1.369 1985 0.998 1986 1.409 1987 1.28 1988 1.462 1989 1.05 1990 1.205 1991 1.493 1992 1.405 1993 0.446 1994 1.014 1995 0.565 1996 1.153 1997 1.236 1998 1.015 1999 0.813 2000 0.804 2001 1.037 2002 0.971 2003 1.067 2004 0.751 2005 1.334