# northamerica_usa_ca616 - Don Pedro Reservoir and Green Valley - 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/4837 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_ca616 - Don Pedro Reservoir and Green Valley - 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: Don Pedro Reservoir and Green Valley # Location: # Country: United States # Northernmost_Latitude: 37.72 # Southernmost_Latitude: 37.72 # Easternmost_Longitude: -120.42 # Westernmost_Longitude: -120.42 # Elevation: 274 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_ca616B # Earliest_Year: 1657 # Most_Recent_Year: 2005 # 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":"4.3119031639","T2":"15.9791163914","M1":"0.0226829169895","M2":"0.474365174478"}} #-------------------- # Species # Species_Name: blue oak # Species_Code: QUDG #-------------------- # 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 1657 0.803 1658 0.876 1659 1.048 1660 1.106 1661 1.432 1662 1.056 1663 1.007 1664 1.031 1665 1.089 1666 1.255 1667 0.673 1668 1.338 1669 0.692 1670 0.541 1671 0.8 1672 1.541 1673 1.302 1674 1.208 1675 0.967 1676 1.054 1677 0.771 1678 0.95 1679 0.796 1680 0.863 1681 1.049 1682 1.472 1683 1.022 1684 0.981 1685 1.006 1686 0.887 1687 1.07 1688 0.806 1689 1.091 1690 0.609 1691 0.67 1692 0.766 1693 0.811 1694 1.111 1695 0.676 1696 1.037 1697 1.123 1698 0.941 1699 0.917 1700 1.208 1701 0.79 1702 1.471 1703 0.853 1704 1.143 1705 0.871 1706 0.935 1707 0.994 1708 0.821 1709 0.892 1710 0.584 1711 0.816 1712 0.867 1713 0.694 1714 0.996 1715 0.816 1716 1.14 1717 0.809 1718 0.86 1719 0.78 1720 1.014 1721 0.693 1722 0.872 1723 0.953 1724 0.784 1725 0.991 1726 0.693 1727 1.226 1728 0.855 1729 0.49 1730 1.051 1731 0.965 1732 0.999 1733 0.691 1734 1.011 1735 0.599 1736 0.758 1737 0.627 1738 0.921 1739 1.671 1740 1.61 1741 0.896 1742 1.309 1743 1.132 1744 1.167 1745 1.198 1746 1.277 1747 1.157 1748 0.829 1749 0.914 1750 0.869 1751 1.056 1752 1.007 1753 1.216 1754 0.907 1755 0.932 1756 0.774 1757 0.8 1758 1.095 1759 1.27 1760 1.15 1761 1.166 1762 1.222 1763 1.077 1764 0.973 1765 0.947 1766 1.332 1767 1.488 1768 0.885 1769 1.586 1770 0.705 1771 0.793 1772 0.529 1773 1.176 1774 1.14 1775 1.043 1776 0.638 1777 0.361 1778 0.96 1779 0.954 1780 1.03 1781 0.915 1782 0.476 1783 0.43 1784 1.184 1785 1.69 1786 1.374 1787 1.215 1788 0.79 1789 1.283 1790 1.56 1791 1.506 1792 1.57 1793 1.049 1794 0.478 1795 0.439 1796 0.695 1797 0.965 1798 1.178 1799 1.264 1800 0.576 1801 0.925 1802 0.948 1803 0.847 1804 1.039 1805 1.098 1806 1.177 1807 0.896 1808 0.94 1809 0.875 1810 1.012 1811 1.002 1812 0.69 1813 0.994 1814 0.87 1815 0.908 1816 0.923 1817 0.938 1818 0.569 1819 0.993 1820 1.254 1821 1.096 1822 0.7 1823 1.173 1824 0.986 1825 1.232 1826 1.468 1827 1.021 1828 1.294 1829 0.579 1830 1.17 1831 1.016 1832 1.173 1833 1.104 1834 0.945 1835 0.914 1836 1.417 1837 0.852 1838 1.408 1839 0.891 1840 0.823 1841 0.377 1842 0.843 1843 0.457 1844 0.49 1845 1.09 1846 1.069 1847 1.274 1848 1.433 1849 0.847 1850 0.962 1851 1.063 1852 1.151 1853 1.479 1854 1.272 1855 1.208 1856 0.936 1857 0.725 1858 0.783 1859 0.851 1860 1.136 1861 0.922 1862 1.293 1863 1.194 1864 0.286 1865 0.733 1866 1.313 1867 0.86 1868 1.279 1869 1.119 1870 0.913 1871 0.845 1872 0.91 1873 0.816 1874 0.884 1875 0.658 1876 0.92 1877 0.435 1878 1.224 1879 1.131 1880 0.858 1881 0.829 1882 1.0 1883 0.869 1884 1.108 1885 0.753 1886 0.943 1887 0.963 1888 0.693 1889 1.051 1890 1.19 1891 1.172 1892 1.163 1893 0.888 1894 1.173 1895 1.199 1896 1.276 1897 0.739 1898 0.609 1899 0.872 1900 1.065 1901 1.027 1902 1.117 1903 0.841 1904 1.085 1905 1.215 1906 1.373 1907 1.087 1908 0.854 1909 0.899 1910 1.051 1911 1.021 1912 0.743 1913 0.622 1914 1.004 1915 1.579 1916 0.928 1917 0.979 1918 0.707 1919 0.818 1920 0.859 1921 1.11 1922 0.983 1923 1.242 1924 0.495 1925 1.167 1926 0.996 1927 0.719 1928 0.952 1929 0.715 1930 0.876 1931 0.562 1932 0.798 1933 0.831 1934 0.709 1935 1.301 1936 1.233 1937 1.194 1938 1.2 1939 0.91 1940 1.066 1941 1.336 1942 1.316 1943 0.904 1944 1.007 1945 0.961 1946 1.026 1947 0.927 1948 1.132 1949 0.966 1950 0.949 1951 1.079 1952 1.181 1953 1.342 1954 1.041 1955 1.055 1956 0.963 1957 1.149 1958 1.015 1959 0.809 1960 1.287 1961 0.724 1962 0.706 1963 1.279 1964 0.919 1965 0.971 1966 0.853 1967 0.891 1968 0.804 1969 1.004 1970 1.009 1971 0.943 1972 0.716 1973 0.861 1974 1.107 1975 0.913 1976 0.515 1977 0.365 1978 1.161 1979 1.218 1980 1.152 1981 1.062 1982 0.9 1983 1.343 1984 1.025 1985 0.91 1986 1.256 1987 0.835 1988 0.78 1989 0.733 1990 0.978 1991 0.854 1992 0.848 1993 1.066 1994 1.094 1995 1.653 1996 1.077 1997 0.891 1998 1.378 1999 0.935 2000 1.075 2001 0.854 2002 0.756 2003 1.018 2004 0.702 2005 1.225