# northamerica_usa_vt004 - Bolton Mountain Middle - 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/8514 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_vt004 - Bolton Mountain Middle - 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: Bolton Mountain Middle # Location: # Country: United States # Northernmost_Latitude: 44.45 # Southernmost_Latitude: 44.45 # Easternmost_Longitude: -72.85 # Westernmost_Longitude: -72.85 # Elevation: 725 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_vt004B # Earliest_Year: 1880 # 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":"4.56600437923","T2":"20.6800196126","M1":"0.0217290830263","M2":"0.322220969777"}} #-------------------- # Species # Species_Name: sugar maple # Species_Code: ACSH #-------------------- # 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 1880 0.951 1881 0.774 1882 0.759 1883 0.754 1884 0.667 1885 0.752 1886 0.645 1887 0.739 1888 0.717 1889 0.728 1890 0.673 1891 0.672 1892 0.759 1893 0.714 1894 0.7 1895 0.777 1896 0.818 1897 0.616 1898 0.707 1899 0.783 1900 0.829 1901 0.951 1902 0.947 1903 1.096 1904 1.124 1905 0.855 1906 1.366 1907 1.116 1908 1.225 1909 1.108 1910 1.073 1911 1.169 1912 0.917 1913 0.86 1914 1.052 1915 1.076 1916 1.066 1917 0.963 1918 0.77 1919 0.99 1920 1.055 1921 1.33 1922 1.036 1923 0.825 1924 1.05 1925 0.771 1926 0.867 1927 0.953 1928 1.078 1929 0.893 1930 1.017 1931 1.13 1932 0.798 1933 0.77 1934 0.924 1935 0.978 1936 0.514 1937 1.09 1938 1.06 1939 1.102 1940 0.827 1941 0.885 1942 0.847 1943 1.08 1944 0.896 1945 0.787 1946 0.799 1947 1.18 1948 0.854 1949 1.137 1950 0.952 1951 1.16 1952 1.23 1953 0.998 1954 0.999 1955 1.638 1956 1.078 1957 1.213 1958 1.208 1959 1.23 1960 0.974 1961 1.331 1962 1.095 1963 1.134 1964 0.891 1965 0.79 1966 0.888 1967 1.07 1968 0.818 1969 1.222 1970 1.224 1971 1.019 1972 1.106 1973 1.361 1974 1.172 1975 1.125 1976 1.246 1977 1.171 1978 1.478 1979 1.086 1980 0.693 1981 0.851 1982 1.025 1983 1.16 1984 1.203 1985 1.155 1986 0.835 1987 1.215 1988 0.697 1989 0.527 1990 0.921 1991 0.953 1992 0.751 1993 0.768 1994 1.077 1995 0.855 1996 0.659 1997 0.813 1998 0.811 1999 0.996 2000 0.72 2001 0.558 2002 0.746 2003 0.671 2004 0.685 2005 0.744