# europe_swit179 - Davos GR Sertig - 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/2737 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_swit179 - Davos GR Sertig - 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: Davos GR Sertig # Location: # Country: Switzerland # Northernmost_Latitude: 46.77 # Southernmost_Latitude: 46.77 # Easternmost_Longitude: 9.82 # Westernmost_Longitude: 9.82 # Elevation: 1800 m #-------------------- # Data_Collection # Collection_Name: europe_swit179B # Earliest_Year: 1859 # Most_Recent_Year: 2005 # 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":"4.93981525114","T2":"16.6433993823","M1":"0.0222507072044","M2":"0.395170717913"}} #-------------------- # 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 1859 1.106 1860 0.643 1861 0.771 1862 0.64 1863 0.834 1864 0.78 1865 0.717 1866 0.829 1867 0.865 1868 0.871 1869 0.889 1870 0.857 1871 0.841 1872 0.761 1873 1.028 1874 0.987 1875 0.949 1876 0.962 1877 1.131 1878 1.078 1879 1.074 1880 1.062 1881 1.245 1882 1.114 1883 1.068 1884 1.133 1885 1.146 1886 0.966 1887 1.045 1888 0.797 1889 1.067 1890 0.899 1891 0.867 1892 0.995 1893 0.962 1894 1.12 1895 1.178 1896 0.975 1897 0.972 1898 0.934 1899 0.903 1900 1.094 1901 1.211 1902 0.974 1903 0.99 1904 1.258 1905 1.082 1906 0.922 1907 0.987 1908 1.161 1909 0.853 1910 0.981 1911 1.226 1912 1.055 1913 0.74 1914 1.032 1915 1.03 1916 1.008 1917 1.202 1918 0.931 1919 1.052 1920 1.063 1921 1.281 1922 1.038 1923 1.161 1924 1.065 1925 1.006 1926 0.791 1927 1.023 1928 1.047 1929 0.901 1930 0.881 1931 1.161 1932 1.019 1933 0.857 1934 0.812 1935 1.084 1936 0.93 1937 1.007 1938 1.156 1939 1.017 1940 0.986 1941 1.028 1942 1.024 1943 1.066 1944 1.051 1945 1.152 1946 1.158 1947 1.194 1948 0.7 1949 0.915 1950 0.844 1951 0.859 1952 1.094 1953 0.899 1954 0.894 1955 0.996 1956 0.834 1957 0.816 1958 1.011 1959 1.027 1960 1.067 1961 1.163 1962 0.985 1963 1.05 1964 1.155 1965 0.96 1966 0.949 1967 1.139 1968 1.012 1969 1.11 1970 1.053 1971 0.859 1972 0.773 1973 0.849 1974 0.688 1975 0.533 1976 0.728 1977 0.82 1978 0.732 1979 0.807 1980 0.697 1981 0.789 1982 1.101 1983 1.206 1984 0.939 1985 1.118 1986 0.939 1987 0.76 1988 1.139 1989 1.108 1990 1.169 1991 0.912 1992 0.991 1993 1.1 1994 1.206 1995 0.979 1996 0.914 1997 0.964 1998 1.103 1999 1.129 2000 1.243 2001 1.503 2002 1.274 2003 1.114 2004 0.997 2005 1.126