# northamerica_usa_ca598 - Santa Lucia Mountains - 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/2763 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_ca598 - Santa Lucia Mountains - 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: Santa Lucia Mountains # Location: # Country: United States # Northernmost_Latitude: 36.07 # Southernmost_Latitude: 36.07 # Easternmost_Longitude: -121.57 # Westernmost_Longitude: -121.57 # Elevation: 625 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_ca598B # Earliest_Year: 1849 # Most_Recent_Year: 1995 # 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":"4.18265268084","T2":"15.7388520897","M1":"0.0226426341147","M2":"0.518402474589"}} #-------------------- # Species # Species_Name: ponderosa pine # Species_Code: PIPO #-------------------- # 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 1849 1.001 1850 1.191 1851 0.823 1852 1.024 1853 1.18 1854 0.866 1855 0.955 1856 1.028 1857 1.168 1858 1.107 1859 0.828 1860 1.144 1861 1.349 1862 1.011 1863 0.918 1864 0.684 1865 0.888 1866 1.06 1867 1.168 1868 1.131 1869 1.176 1870 1.111 1871 1.062 1872 1.227 1873 0.864 1874 0.717 1875 0.757 1876 0.898 1877 0.495 1878 0.993 1879 0.928 1880 0.972 1881 1.021 1882 0.808 1883 0.9 1884 1.406 1885 1.159 1886 0.829 1887 0.689 1888 0.769 1889 1.035 1890 1.161 1891 0.887 1892 0.722 1893 1.469 1894 1.092 1895 0.963 1896 0.967 1897 0.905 1898 0.645 1899 1.067 1900 1.195 1901 1.083 1902 0.968 1903 1.276 1904 1.017 1905 1.004 1906 1.009 1907 1.31 1908 0.968 1909 0.844 1910 0.932 1911 0.941 1912 1.043 1913 0.979 1914 1.217 1915 0.971 1916 0.771 1917 0.765 1918 0.688 1919 1.16 1920 0.876 1921 1.067 1922 1.046 1923 1.322 1924 0.715 1925 0.689 1926 0.937 1927 1.051 1928 0.892 1929 0.822 1930 0.899 1931 0.811 1932 0.938 1933 0.681 1934 0.762 1935 0.639 1936 0.551 1937 0.726 1938 1.114 1939 0.851 1940 0.818 1941 0.976 1942 1.042 1943 1.137 1944 0.869 1945 0.864 1946 1.106 1947 0.776 1948 0.814 1949 0.918 1950 1.008 1951 0.896 1952 1.145 1953 0.966 1954 1.037 1955 1.063 1956 1.209 1957 1.053 1958 1.521 1959 0.87 1960 0.808 1961 0.877 1962 1.117 1963 0.949 1964 0.843 1965 1.063 1966 0.768 1967 0.871 1968 0.997 1969 1.188 1970 0.788 1971 1.082 1972 0.801 1973 0.978 1974 1.178 1975 1.673 1976 0.913 1977 0.612 1978 0.779 1979 0.901 1980 0.995 1981 0.895 1982 1.207 1983 1.72 1984 1.249 1985 0.909 1986 1.019 1987 0.851 1988 0.552 1989 0.869 1990 1.026 1991 0.987 1992 1.235 1993 1.167 1994 1.087 1995 1.752