# asia_russ153w - Jama river - 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/4446 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: asia_russ153w - Jama river - 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: Jama river # Location: # Country: Russia # Northernmost_Latitude: 59.78 # Southernmost_Latitude: 59.78 # Easternmost_Longitude: 154.0 # Westernmost_Longitude: 154.0 # Elevation: 80 m #-------------------- # Data_Collection # Collection_Name: asia_russ153wB # Earliest_Year: 1833 # Most_Recent_Year: 1994 # 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":"4.64169254157","T2":"16.0523474996","M1":"0.022757372341","M2":"0.319986836676"}} #-------------------- # Species # Species_Name: Siberian spruce # Species_Code: PCOB #-------------------- # 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 1833 1.223 1834 0.988 1835 1.061 1836 1.109 1837 0.817 1838 0.502 1839 0.607 1840 0.718 1841 0.986 1842 1.016 1843 1.092 1844 1.251 1845 1.21 1846 1.19 1847 0.972 1848 0.826 1849 1.106 1850 0.999 1851 0.941 1852 0.692 1853 0.564 1854 0.51 1855 0.449 1856 0.39 1857 0.522 1858 0.532 1859 0.456 1860 0.429 1861 0.479 1862 0.602 1863 0.623 1864 0.919 1865 1.383 1866 0.934 1867 0.683 1868 0.991 1869 1.026 1870 1.034 1871 0.786 1872 0.938 1873 1.121 1874 1.25 1875 1.099 1876 0.998 1877 1.199 1878 1.069 1879 0.941 1880 0.911 1881 0.824 1882 0.909 1883 1.11 1884 1.229 1885 0.907 1886 0.982 1887 0.549 1888 0.33 1889 0.53 1890 0.883 1891 1.217 1892 1.143 1893 0.779 1894 0.947 1895 1.028 1896 1.106 1897 1.277 1898 1.351 1899 1.369 1900 1.221 1901 1.228 1902 1.334 1903 1.221 1904 1.08 1905 1.267 1906 1.084 1907 1.385 1908 1.157 1909 1.349 1910 1.476 1911 1.084 1912 0.928 1913 1.27 1914 0.87 1915 0.955 1916 1.02 1917 0.987 1918 0.825 1919 1.064 1920 1.088 1921 1.402 1922 1.228 1923 1.465 1924 1.36 1925 1.024 1926 0.735 1927 0.956 1928 1.175 1929 1.279 1930 0.861 1931 0.915 1932 1.018 1933 1.312 1934 1.179 1935 1.222 1936 1.132 1937 0.877 1938 0.974 1939 0.94 1940 0.995 1941 1.332 1942 1.211 1943 1.205 1944 1.21 1945 0.899 1946 1.191 1947 1.056 1948 1.419 1949 1.559 1950 1.067 1951 0.933 1952 0.889 1953 0.75 1954 1.087 1955 1.015 1956 1.281 1957 0.82 1958 0.594 1959 0.834 1960 0.947 1961 0.954 1962 1.231 1963 1.02 1964 0.954 1965 1.004 1966 1.118 1967 1.242 1968 1.159 1969 0.798 1970 0.465 1971 0.374 1972 0.557 1973 0.738 1974 0.754 1975 0.759 1976 0.834 1977 0.799 1978 0.888 1979 1.107 1980 0.901 1981 0.81 1982 0.745 1983 0.69 1984 0.417 1985 0.605 1986 1.052 1987 1.064 1988 1.032 1989 0.968 1990 1.315 1991 1.364 1992 1.028 1993 0.861 1994 0.801