# europe_finl044 - Matko Kerimäki - 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/4003 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_finl044 - Matko Kerimäki - 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: Matko Kerimäki # Location: # Country: Finland # Northernmost_Latitude: 61.87 # Southernmost_Latitude: 61.87 # Easternmost_Longitude: 28.82 # Westernmost_Longitude: 28.82 # Elevation: nan m #-------------------- # Data_Collection # Collection_Name: europe_finl044B # Earliest_Year: 1844 # Most_Recent_Year: 2001 # 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":"5.08906042977","T2":"17.313227485","M1":"0.0223010199884","M2":"0.296692969926"}} #-------------------- # Species # Species_Name: Norway spruce # Species_Code: PCAB #-------------------- # 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 0.814 1846 1.022 1847 0.812 1848 1.022 1849 1.046 1850 1.114 1851 1.003 1852 0.82 1853 0.831 1854 0.953 1855 0.922 1856 0.982 1857 0.858 1858 0.857 1859 0.8 1860 1.009 1861 1.131 1862 1.146 1863 1.058 1864 0.953 1865 1.041 1866 1.092 1867 0.928 1868 1.123 1869 0.99 1870 1.023 1871 0.97 1872 0.939 1873 1.024 1874 0.968 1875 0.833 1876 0.752 1877 0.892 1878 0.962 1879 0.935 1880 1.143 1881 0.983 1882 1.081 1883 0.83 1884 0.924 1885 0.984 1886 0.965 1887 0.94 1888 0.984 1889 0.912 1890 1.161 1891 0.969 1892 1.089 1893 0.981 1894 1.028 1895 0.945 1896 0.766 1897 0.784 1898 0.921 1899 0.836 1900 0.967 1901 1.043 1902 0.833 1903 0.974 1904 0.878 1905 0.92 1906 0.884 1907 0.799 1908 0.746 1909 0.729 1910 0.577 1911 0.707 1912 0.783 1913 0.828 1914 0.843 1915 0.987 1916 0.88 1917 0.84 1918 0.65 1919 0.986 1920 1.014 1921 1.343 1922 1.283 1923 1.153 1924 1.385 1925 1.282 1926 1.006 1927 1.05 1928 0.776 1929 1.028 1930 0.942 1931 0.917 1932 1.047 1933 0.902 1934 1.019 1935 0.883 1936 0.856 1937 1.051 1938 1.131 1939 0.901 1940 0.934 1941 0.71 1942 0.779 1943 0.973 1944 0.981 1945 1.201 1946 1.308 1947 1.498 1948 1.217 1949 1.063 1950 1.083 1951 1.081 1952 1.271 1953 1.309 1954 1.246 1955 0.968 1956 0.729 1957 0.89 1958 0.792 1959 1.123 1960 1.19 1961 1.016 1962 1.133 1963 1.227 1964 1.086 1965 1.103 1966 1.198 1967 1.237 1968 1.167 1969 1.276 1970 1.294 1971 1.018 1972 1.2 1973 0.856 1974 0.857 1975 0.911 1976 1.063 1977 1.043 1978 1.072 1979 1.125 1980 0.903 1981 1.007 1982 0.956 1983 1.171 1984 1.072 1985 0.846 1986 1.042 1987 1.008 1988 0.988 1989 0.632 1990 0.809 1991 0.978 1992 0.724 1993 0.825 1994 1.053 1995 0.614 1996 0.742 1997 0.797 1998 0.412 1999 0.638 2000 0.494 2001 0.568