# europe_finl3 - Huvilasaaret, Pihlajavesi Savonlinna - 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/3982 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_finl3 - Huvilasaaret, Pihlajavesi Savonlinna - 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: Huvilasaaret, Pihlajavesi Savonlinna # Location: # Country: Finland # Northernmost_Latitude: 61.65 # Southernmost_Latitude: 61.65 # Easternmost_Longitude: 29.08 # Westernmost_Longitude: 29.08 # Elevation: 90 m #-------------------- # Data_Collection # Collection_Name: europe_finl3B # Earliest_Year: 1844 # Most_Recent_Year: 1993 # 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":"2.90666135058","T2":"14.1098231187","M1":"0.0231477778403","M2":"0.556913863019"}} #-------------------- # 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 1844 1.393 1845 0.557 1846 1.361 1847 1.267 1848 1.052 1849 1.074 1850 0.983 1851 1.521 1852 0.863 1853 0.722 1854 0.952 1855 0.873 1856 1.109 1857 0.992 1858 1.013 1859 0.85 1860 1.126 1861 1.133 1862 1.332 1863 1.048 1864 1.064 1865 1.335 1866 1.307 1867 0.976 1868 0.893 1869 0.943 1870 1.086 1871 1.05 1872 0.897 1873 1.099 1874 0.878 1875 0.616 1876 0.636 1877 0.813 1878 0.744 1879 0.705 1880 0.776 1881 0.744 1882 0.77 1883 0.808 1884 0.774 1885 0.782 1886 0.987 1887 0.767 1888 0.848 1889 0.548 1890 1.021 1891 1.06 1892 1.134 1893 0.795 1894 0.971 1895 0.816 1896 0.544 1897 0.549 1898 0.278 1899 0.367 1900 0.277 1901 0.342 1902 0.492 1903 0.715 1904 0.756 1905 0.517 1906 0.466 1907 0.667 1908 0.698 1909 0.798 1910 0.793 1911 1.081 1912 1.456 1913 1.445 1914 1.237 1915 1.529 1916 1.363 1917 1.05 1918 1.014 1919 0.958 1920 1.362 1921 1.671 1922 1.819 1923 1.8 1924 2.026 1925 1.726 1926 1.252 1927 1.464 1928 1.101 1929 1.086 1930 1.13 1931 1.251 1932 1.594 1933 1.127 1934 1.682 1935 1.288 1936 1.306 1937 1.405 1938 1.407 1939 0.94 1940 0.566 1941 0.869 1942 0.622 1943 1.025 1944 1.039 1945 1.179 1946 1.411 1947 1.038 1948 1.071 1949 1.198 1950 1.241 1951 1.142 1952 1.241 1953 1.39 1954 1.169 1955 0.902 1956 0.802 1957 1.235 1958 1.156 1959 0.717 1960 0.99 1961 0.89 1962 0.921 1963 0.545 1964 0.722 1965 0.724 1966 0.749 1967 1.04 1968 0.982 1969 0.634 1970 0.701 1971 0.835 1972 0.824 1973 0.816 1974 1.085 1975 0.888 1976 0.869 1977 0.647 1978 0.543 1979 0.751 1980 0.683 1981 0.914 1982 1.112 1983 0.99 1984 0.743 1985 0.926 1986 0.847 1987 1.2 1988 1.307 1989 1.001 1990 0.886 1991 0.953 1992 0.561 1993 0.733