# asia_mong001 - Hovsgol Nuur - 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/3599 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: asia_mong001 - Hovsgol Nuur - 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: Hovsgol Nuur # Location: # Country: Mongolia # Northernmost_Latitude: 50.77 # Southernmost_Latitude: 50.77 # Easternmost_Longitude: 100.2 # Westernmost_Longitude: 100.2 # Elevation: 2300 m #-------------------- # Data_Collection # Collection_Name: asia_mong001B # Earliest_Year: 1835 # Most_Recent_Year: 1992 # 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":"5.9760308137","T2":"19.7459270426","M1":"0.0222637621021","M2":"0.252593684541"}} #-------------------- # Species # Species_Name: Siberian larch # Species_Code: LASI #-------------------- # 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 1835 0.65 1836 0.779 1837 0.985 1838 1.291 1839 1.321 1840 0.915 1841 1.191 1842 0.706 1843 0.552 1844 0.98 1845 1.251 1846 1.147 1847 0.872 1848 1.16 1849 1.282 1850 1.346 1851 1.006 1852 1.008 1853 1.226 1854 0.348 1855 1.34 1856 1.317 1857 0.918 1858 1.274 1859 0.563 1860 0.819 1861 1.329 1862 1.001 1863 1.063 1864 1.311 1865 1.084 1866 0.696 1867 0.372 1868 0.559 1869 0.484 1870 0.333 1871 0.896 1872 0.812 1873 1.045 1874 0.997 1875 1.079 1876 1.023 1877 1.595 1878 1.109 1879 1.216 1880 1.463 1881 1.208 1882 0.711 1883 0.735 1884 0.269 1885 0.49 1886 0.405 1887 0.347 1888 0.557 1889 0.56 1890 0.537 1891 0.875 1892 0.91 1893 0.939 1894 0.681 1895 0.553 1896 1.036 1897 1.216 1898 0.885 1899 0.772 1900 1.285 1901 1.282 1902 1.351 1903 1.191 1904 1.242 1905 1.326 1906 1.022 1907 1.583 1908 1.012 1909 1.248 1910 0.86 1911 0.487 1912 0.737 1913 0.577 1914 0.641 1915 1.057 1916 0.97 1917 1.385 1918 1.356 1919 1.536 1920 1.601 1921 1.823 1922 1.755 1923 1.032 1924 1.496 1925 1.224 1926 0.994 1927 1.056 1928 1.088 1929 1.103 1930 0.97 1931 1.065 1932 0.821 1933 0.881 1934 1.049 1935 1.278 1936 1.009 1937 0.977 1938 0.971 1939 1.128 1940 1.328 1941 1.427 1942 0.606 1943 0.948 1944 1.207 1945 0.876 1946 1.309 1947 0.934 1948 1.137 1949 0.938 1950 1.25 1951 0.882 1952 0.923 1953 0.999 1954 0.655 1955 0.553 1956 0.642 1957 0.809 1958 0.664 1959 0.962 1960 0.844 1961 0.629 1962 0.821 1963 0.757 1964 1.079 1965 0.864 1966 0.782 1967 0.919 1968 1.034 1969 0.831 1970 0.682 1971 0.754 1972 0.836 1973 0.983 1974 1.326 1975 1.106 1976 1.54 1977 1.518 1978 0.905 1979 1.08 1980 1.272 1981 0.972 1982 1.16 1983 0.796 1984 1.213 1985 0.939 1986 1.046 1987 0.504 1988 0.624 1989 1.073 1990 1.137 1991 1.272 1992 1.005