# europe_swed313 - Rälla Tall, Högsrum sn, Öland - 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/5498 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_swed313 - Rälla Tall, Högsrum sn, Öland - 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: Rälla Tall, Högsrum sn, Öland # Location: # Country: Sweden # Northernmost_Latitude: 56.77 # Southernmost_Latitude: 56.77 # Easternmost_Longitude: 16.55 # Westernmost_Longitude: 16.55 # Elevation: 30 m #-------------------- # Data_Collection # Collection_Name: europe_swed313B # Earliest_Year: 1861 # 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":"4.11259494947","T2":"16.4905445712","M1":"0.0220995485254","M2":"0.498833844537"}} #-------------------- # Species # Species_Name: Scots pine # Species_Code: PISY #-------------------- # 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 1861 1.166 1862 0.992 1863 0.979 1864 1.109 1865 1.152 1866 1.328 1867 1.266 1868 0.792 1869 0.919 1870 1.034 1871 0.934 1872 0.905 1873 0.896 1874 0.783 1875 0.735 1876 0.749 1877 0.748 1878 1.084 1879 0.972 1880 1.201 1881 0.938 1882 1.322 1883 1.101 1884 1.387 1885 0.981 1886 0.806 1887 0.884 1888 0.675 1889 0.836 1890 1.12 1891 1.005 1892 1.064 1893 0.78 1894 1.041 1895 0.701 1896 0.789 1897 0.838 1898 0.848 1899 0.69 1900 0.669 1901 0.673 1902 0.581 1903 0.892 1904 0.806 1905 0.874 1906 0.979 1907 1.216 1908 0.953 1909 0.983 1910 1.271 1911 0.958 1912 0.907 1913 1.095 1914 0.968 1915 0.999 1916 1.112 1917 0.93 1918 0.815 1919 0.95 1920 1.27 1921 1.017 1922 0.963 1923 1.107 1924 1.155 1925 1.54 1926 1.258 1927 1.518 1928 1.533 1929 1.353 1930 1.55 1931 1.06 1932 1.394 1933 1.372 1934 1.573 1935 1.557 1936 1.476 1937 1.184 1938 1.078 1939 1.076 1940 0.435 1941 0.594 1942 0.62 1943 0.519 1944 0.676 1945 0.8 1946 1.033 1947 0.919 1948 1.182 1949 1.365 1950 1.311 1951 1.176 1952 1.179 1953 1.502 1954 1.084 1955 0.914 1956 1.09 1957 1.371 1958 1.291 1959 0.884 1960 0.979 1961 1.338 1962 1.245 1963 1.046 1964 0.925 1965 1.231 1966 0.851 1967 0.951 1968 1.049 1969 0.615 1970 0.759 1971 0.886 1972 0.995 1973 0.849 1974 0.763 1975 0.879 1976 0.683 1977 0.689 1978 0.805 1979 0.847 1980 0.757 1981 0.935 1982 0.803 1983 0.645 1984 0.817 1985 0.89 1986 0.672 1987 0.976 1988 1.178 1989 0.823 1990 0.956 1991 1.063 1992 0.694 1993 0.725 1994 0.718 1995 0.934 1996 0.924 1997 1.003 1998 0.808 1999 0.807 2000 0.867 2001 0.59 2002 0.687 2003 0.684 2004 0.665 2005 0.742