# asia_leba003 - Herch Ehden - 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/5554 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: asia_leba003 - Herch Ehden - 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: Herch Ehden # Location: # Country: Lebanon # Northernmost_Latitude: 34.3 # Southernmost_Latitude: 34.3 # Easternmost_Longitude: 35.98 # Westernmost_Longitude: 35.98 # Elevation: 1640 m #-------------------- # Data_Collection # Collection_Name: asia_leba003B # Earliest_Year: 1859 # Most_Recent_Year: 2001 # 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":"4.50586833544","T2":"16.7377001403","M1":"0.0228249617863","M2":"0.402763311397"}} #-------------------- # Species # Species_Name: cedar of Lebanone # Species_Code: CDLI #-------------------- # 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 0.857 1860 0.875 1861 0.934 1862 0.854 1863 0.723 1864 1.104 1865 1.145 1866 1.257 1867 1.213 1868 0.942 1869 1.08 1870 1.092 1871 1.188 1872 1.304 1873 1.343 1874 0.847 1875 1.045 1876 1.109 1877 1.016 1878 0.888 1879 0.831 1880 0.736 1881 0.948 1882 1.029 1883 1.108 1884 1.239 1885 1.4 1886 0.988 1887 0.806 1888 1.082 1889 1.055 1890 0.874 1891 1.161 1892 1.069 1893 0.878 1894 0.733 1895 0.934 1896 0.831 1897 1.009 1898 0.749 1899 0.833 1900 1.133 1901 1.1 1902 1.125 1903 0.954 1904 1.24 1905 1.083 1906 1.017 1907 0.944 1908 0.993 1909 0.792 1910 0.967 1911 0.86 1912 1.102 1913 1.186 1914 1.24 1915 0.977 1916 0.6 1917 0.914 1918 0.835 1919 1.119 1920 1.037 1921 1.203 1922 1.048 1923 0.919 1924 1.223 1925 0.736 1926 1.051 1927 1.026 1928 0.731 1929 1.021 1930 1.027 1931 1.029 1932 0.718 1933 0.691 1934 0.95 1935 0.723 1936 1.08 1937 1.036 1938 1.07 1939 0.994 1940 0.995 1941 0.837 1942 0.867 1943 1.05 1944 0.967 1945 1.013 1946 1.188 1947 1.145 1948 1.032 1949 0.911 1950 1.19 1951 1.235 1952 1.108 1953 0.843 1954 0.707 1955 0.673 1956 0.89 1957 1.0 1958 1.111 1959 0.949 1960 0.852 1961 0.798 1962 1.073 1963 1.262 1964 1.05 1965 0.916 1966 0.89 1967 1.043 1968 1.31 1969 1.016 1970 1.043 1971 0.949 1972 0.859 1973 0.875 1974 0.923 1975 1.046 1976 1.127 1977 1.179 1978 1.115 1979 1.087 1980 0.9 1981 1.169 1982 1.317 1983 1.217 1984 1.065 1985 0.959 1986 0.856 1987 0.873 1988 0.887 1989 0.729 1990 1.005 1991 1.336 1992 1.397 1993 1.162 1994 1.007 1995 0.669 1996 0.886 1997 0.777 1998 0.911 1999 0.498 2000 0.787 2001 0.795