# europe_finl004 - Ilomantsi Koivusuo-W - 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/3200 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_finl004 - Ilomantsi Koivusuo-W - 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: Ilomantsi Koivusuo-W # Location: # Country: Finland # Northernmost_Latitude: 62.93 # Southernmost_Latitude: 62.93 # Easternmost_Longitude: 31.38 # Westernmost_Longitude: 31.38 # Elevation: 182 m #-------------------- # Data_Collection # Collection_Name: europe_finl004B # Earliest_Year: 1855 # Most_Recent_Year: 1984 # 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":"4.72942506372","T2":"17.38891623","M1":"0.0222313102172","M2":"0.266697502159"}} #-------------------- # 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 1855 1.17 1856 1.311 1857 1.197 1858 1.042 1859 0.929 1860 1.167 1861 1.177 1862 0.935 1863 0.854 1864 0.897 1865 1.013 1866 0.921 1867 0.519 1868 0.713 1869 0.722 1870 0.919 1871 0.761 1872 0.764 1873 0.764 1874 0.746 1875 0.785 1876 0.631 1877 0.868 1878 0.763 1879 0.693 1880 0.631 1881 0.628 1882 0.904 1883 0.613 1884 0.77 1885 0.899 1886 0.812 1887 0.944 1888 0.922 1889 0.772 1890 0.945 1891 0.615 1892 0.795 1893 0.555 1894 0.506 1895 0.588 1896 0.824 1897 0.605 1898 0.662 1899 0.747 1900 1.01 1901 1.084 1902 1.032 1903 1.271 1904 1.247 1905 1.222 1906 1.27 1907 1.067 1908 1.29 1909 0.938 1910 0.955 1911 1.031 1912 1.025 1913 1.144 1914 1.338 1915 1.498 1916 1.253 1917 1.132 1918 0.955 1919 1.149 1920 1.375 1921 1.573 1922 1.514 1923 1.388 1924 1.375 1925 1.187 1926 1.018 1927 1.095 1928 0.848 1929 0.956 1930 0.961 1931 0.675 1932 0.691 1933 0.666 1934 0.987 1935 0.729 1936 0.85 1937 0.88 1938 1.107 1939 0.991 1940 1.039 1941 1.045 1942 0.868 1943 1.005 1944 1.187 1945 1.517 1946 1.298 1947 1.565 1948 1.219 1949 1.113 1950 1.202 1951 1.224 1952 1.34 1953 1.402 1954 1.487 1955 1.09 1956 0.904 1957 1.317 1958 1.091 1959 1.117 1960 0.958 1961 0.816 1962 0.875 1963 0.779 1964 0.852 1965 0.845 1966 1.03 1967 1.252 1968 0.994 1969 0.846 1970 0.777 1971 0.778 1972 0.871 1973 0.749 1974 0.956 1975 0.87 1976 0.774 1977 0.778 1978 0.755 1979 0.835 1980 0.556 1981 0.613 1982 0.728 1983 0.681 1984 0.532