# northamerica_usa_ca599 - Torrey Pine State Reserve - 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/2764 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_ca599 - Torrey Pine State Reserve - 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: Torrey Pine State Reserve # Location: # Country: United States # Northernmost_Latitude: 32.92 # Southernmost_Latitude: 32.92 # Easternmost_Longitude: -117.25 # Westernmost_Longitude: -117.25 # Elevation: 100 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_ca599B # Earliest_Year: 1865 # Most_Recent_Year: 1994 # 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":"4.95346068868","T2":"16.7206374694","M1":"0.022803004902","M2":"0.433818344554"}} #-------------------- # Species # Species_Name: Torrey pine # Species_Code: PITO #-------------------- # 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 1865 0.517 1866 0.853 1867 2.603 1868 2.308 1869 1.721 1870 0.843 1871 0.778 1872 0.532 1873 0.564 1874 0.865 1875 0.764 1876 0.921 1877 0.356 1878 0.927 1879 0.639 1880 1.0 1881 0.748 1882 0.744 1883 0.163 1884 1.789 1885 1.011 1886 1.101 1887 0.684 1888 0.694 1889 1.245 1890 1.076 1891 0.849 1892 0.824 1893 1.03 1894 0.728 1895 1.071 1896 0.701 1897 0.96 1898 0.468 1899 0.548 1900 0.275 1901 0.605 1902 0.26 1903 1.287 1904 0.225 1905 0.974 1906 1.881 1907 1.473 1908 0.819 1909 1.355 1910 1.259 1911 0.885 1912 0.664 1913 0.187 1914 0.94 1915 2.107 1916 1.554 1917 1.13 1918 0.786 1919 0.947 1920 0.444 1921 0.487 1922 1.4 1923 0.789 1924 0.262 1925 0.317 1926 1.159 1927 1.214 1928 0.537 1929 0.749 1930 0.557 1931 0.757 1932 1.829 1933 2.207 1934 0.515 1935 1.528 1936 1.317 1937 1.408 1938 1.144 1939 1.103 1940 0.927 1941 2.2 1942 2.344 1943 2.214 1944 1.556 1945 1.094 1946 0.95 1947 0.545 1948 0.222 1949 0.546 1950 0.578 1951 0.32 1952 1.861 1953 0.679 1954 0.771 1955 0.547 1956 0.313 1957 0.533 1958 2.0 1959 0.814 1960 0.508 1961 0.075 1962 0.862 1963 0.393 1964 0.266 1965 0.464 1966 0.934 1967 1.277 1968 0.535 1969 0.703 1970 0.347 1971 0.429 1972 0.176 1973 0.989 1974 0.71 1975 0.684 1976 0.666 1977 0.811 1978 2.097 1979 2.075 1980 2.204 1981 1.025 1982 1.175 1983 2.469 1984 0.421 1985 0.854 1986 1.14 1987 0.33 1988 1.429 1989 0.353 1990 0.303 1991 0.606 1992 0.782 1993 1.083 1994 0.688