# europe_swed319 - Angerusjärvi - 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/6129 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_swed319 - Angerusjärvi - 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: Angerusjärvi # Location: # Country: Sweden # Northernmost_Latitude: 67.63 # Southernmost_Latitude: 67.63 # Easternmost_Longitude: 21.77 # Westernmost_Longitude: 21.77 # Elevation: 280 m #-------------------- # Data_Collection # Collection_Name: europe_swed319B # Earliest_Year: 1859 # Most_Recent_Year: 1998 # 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":"4.80730450841","T2":"20.4967067511","M1":"0.0216503878687","M2":"0.166250469035"}} #-------------------- # 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 1859 0.944 1860 0.985 1861 1.098 1862 1.119 1863 0.806 1864 0.708 1865 0.632 1866 0.683 1867 0.672 1868 0.814 1869 0.759 1870 1.123 1871 0.933 1872 1.372 1873 1.267 1874 1.005 1875 1.126 1876 1.166 1877 0.922 1878 0.553 1879 0.873 1880 0.998 1881 0.852 1882 1.242 1883 1.65 1884 1.378 1885 1.222 1886 0.963 1887 1.132 1888 0.772 1889 0.77 1890 1.145 1891 1.039 1892 0.648 1893 0.75 1894 0.59 1895 1.226 1896 0.742 1897 1.007 1898 0.991 1899 0.655 1900 0.611 1901 0.767 1902 0.478 1903 0.231 1904 0.312 1905 0.597 1906 0.68 1907 0.667 1908 0.718 1909 0.556 1910 0.627 1911 0.588 1912 0.705 1913 0.777 1914 1.286 1915 1.728 1916 1.476 1917 1.333 1918 1.633 1919 1.45 1920 1.57 1921 1.556 1922 1.489 1923 1.409 1924 1.149 1925 1.682 1926 1.428 1927 1.053 1928 1.103 1929 1.119 1930 1.143 1931 1.08 1932 0.852 1933 1.202 1934 1.547 1935 1.139 1936 0.519 1937 1.102 1938 1.223 1939 1.024 1940 1.249 1941 1.711 1942 1.548 1943 1.155 1944 1.304 1945 0.881 1946 0.995 1947 1.276 1948 1.37 1949 1.247 1950 0.911 1951 0.755 1952 0.552 1953 0.903 1954 1.677 1955 1.034 1956 0.958 1957 1.114 1958 1.069 1959 1.386 1960 0.953 1961 0.784 1962 0.937 1963 0.585 1964 0.97 1965 0.219 1966 0.563 1967 0.547 1968 0.698 1969 0.357 1970 1.171 1971 1.408 1972 1.246 1973 1.496 1974 1.124 1975 0.959 1976 1.392 1977 0.773 1978 0.745 1979 1.239 1980 0.87 1981 0.874 1982 0.842 1983 1.022 1984 0.94 1985 0.924 1986 1.149 1987 0.604 1988 0.592 1989 0.861 1990 0.67 1991 0.724 1992 0.736 1993 0.577 1994 0.401 1995 0.668 1996 0.653 1997 0.893 1998 0.804