# europe_swed329 - Abisko Valley - 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/6126 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_swed329 - Abisko Valley - 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: Abisko Valley # Location: # Country: Sweden # Northernmost_Latitude: 68.33 # Southernmost_Latitude: 68.33 # Easternmost_Longitude: 18.8 # Westernmost_Longitude: 18.8 # Elevation: 470 m #-------------------- # Data_Collection # Collection_Name: europe_swed329B # Earliest_Year: 1844 # Most_Recent_Year: 1983 # 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":"3.54229003051","T2":"17.7741035798","M1":"0.0224205142677","M2":"0.351411370905"}} #-------------------- # Species # Species_Name: downy birch # Species_Code: BEPU #-------------------- # 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 1844 1.244 1845 0.883 1846 0.904 1847 1.531 1848 0.787 1849 0.909 1850 0.904 1851 1.191 1852 1.216 1853 1.237 1854 1.064 1855 1.089 1856 0.621 1857 0.573 1858 0.434 1859 0.527 1860 0.929 1861 0.581 1862 0.488 1863 0.786 1864 0.801 1865 0.693 1866 0.827 1867 0.546 1868 0.723 1869 0.878 1870 1.223 1871 0.977 1872 0.96 1873 1.149 1874 0.569 1875 1.186 1876 1.451 1877 0.891 1878 0.66 1879 0.456 1880 0.585 1881 0.892 1882 1.522 1883 1.924 1884 1.151 1885 1.261 1886 1.298 1887 0.677 1888 0.831 1889 1.007 1890 0.921 1891 0.988 1892 0.652 1893 0.691 1894 0.892 1895 1.18 1896 1.162 1897 1.157 1898 0.872 1899 1.162 1900 0.566 1901 1.043 1902 0.457 1903 0.28 1904 0.409 1905 0.667 1906 0.663 1907 1.164 1908 0.968 1909 0.681 1910 0.677 1911 0.674 1912 1.106 1913 1.363 1914 1.493 1915 1.061 1916 0.846 1917 0.324 1918 0.346 1919 0.51 1920 0.532 1921 0.695 1922 1.38 1923 0.671 1924 1.174 1925 1.17 1926 1.182 1927 1.235 1928 0.715 1929 0.817 1930 1.703 1931 1.01 1932 1.162 1933 1.419 1934 1.176 1935 1.094 1936 1.326 1937 1.895 1938 1.641 1939 1.638 1940 1.167 1941 1.238 1942 0.872 1943 0.922 1944 0.713 1945 0.91 1946 0.879 1947 1.344 1948 0.736 1949 0.785 1950 1.335 1951 0.549 1952 0.934 1953 1.163 1954 0.391 1955 0.049 1956 0.2 1957 0.56 1958 0.612 1959 0.823 1960 1.947 1961 1.914 1962 1.12 1963 1.133 1964 1.379 1965 0.942 1966 1.553 1967 1.104 1968 0.993 1969 1.238 1970 1.305 1971 0.894 1972 1.305 1973 1.164 1974 0.781 1975 0.351 1976 0.829 1977 0.49 1978 0.911 1979 0.989 1980 1.142 1981 0.413 1982 0.652 1983 0.439