# northamerica_usa_ca615 - Clear Lake State Park - 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/4832 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_ca615 - Clear Lake State Park - 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: Clear Lake State Park # Location: # Country: United States # Northernmost_Latitude: 39.02 # Southernmost_Latitude: 39.02 # Easternmost_Longitude: -122.82 # Westernmost_Longitude: -122.82 # Elevation: 426 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_ca615B # Earliest_Year: 1662 # Most_Recent_Year: 2004 # 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":"3.92528305659","T2":"15.2787518009","M1":"0.0223498648318","M2":"0.527966078594"}} #-------------------- # 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 1662 1.303 1663 1.062 1664 0.949 1665 0.851 1666 0.954 1667 0.525 1668 0.997 1669 0.738 1670 0.611 1671 0.911 1672 1.047 1673 0.578 1674 0.845 1675 0.634 1676 0.852 1677 0.911 1678 0.847 1679 0.727 1680 0.882 1681 1.214 1682 1.21 1683 1.024 1684 0.989 1685 0.787 1686 0.749 1687 0.683 1688 0.835 1689 0.832 1690 0.702 1691 0.309 1692 0.685 1693 1.047 1694 1.125 1695 1.112 1696 1.497 1697 1.35 1698 0.924 1699 1.059 1700 1.122 1701 1.102 1702 1.206 1703 0.58 1704 1.097 1705 1.054 1706 0.804 1707 1.034 1708 0.911 1709 0.779 1710 0.763 1711 0.934 1712 0.955 1713 1.1 1714 1.122 1715 1.077 1716 1.086 1717 0.891 1718 1.05 1719 1.011 1720 0.954 1721 0.846 1722 0.988 1723 1.086 1724 1.08 1725 1.311 1726 0.971 1727 1.284 1728 0.937 1729 0.895 1730 0.945 1731 1.078 1732 1.119 1733 0.591 1734 1.09 1735 0.885 1736 0.967 1737 0.984 1738 1.131 1739 1.21 1740 1.318 1741 1.051 1742 1.204 1743 1.167 1744 1.196 1745 1.213 1746 1.188 1747 1.123 1748 0.894 1749 0.996 1750 0.995 1751 0.887 1752 0.964 1753 1.054 1754 1.069 1755 1.012 1756 0.606 1757 0.753 1758 0.802 1759 1.005 1760 0.919 1761 1.017 1762 0.881 1763 0.986 1764 0.957 1765 0.629 1766 1.05 1767 1.155 1768 1.059 1769 1.17 1770 0.985 1771 0.998 1772 0.878 1773 1.199 1774 0.917 1775 0.834 1776 0.608 1777 0.854 1778 0.78 1779 0.851 1780 0.749 1781 0.735 1782 0.475 1783 0.548 1784 0.881 1785 1.079 1786 1.029 1787 1.07 1788 0.862 1789 1.204 1790 1.407 1791 1.38 1792 1.396 1793 1.047 1794 0.954 1795 0.651 1796 0.643 1797 0.893 1798 1.026 1799 1.313 1800 1.042 1801 0.899 1802 1.033 1803 0.872 1804 1.099 1805 1.194 1806 1.139 1807 0.942 1808 0.896 1809 1.042 1810 1.022 1811 1.128 1812 1.087 1813 1.162 1814 1.2 1815 1.022 1816 1.061 1817 1.022 1818 0.775 1819 0.928 1820 0.837 1821 0.907 1822 0.721 1823 0.801 1824 0.619 1825 1.124 1826 0.884 1827 0.822 1828 1.048 1829 0.384 1830 0.937 1831 0.911 1832 1.131 1833 1.077 1834 1.01 1835 1.055 1836 1.067 1837 0.965 1838 1.047 1839 0.956 1840 0.878 1841 0.559 1842 0.863 1843 0.605 1844 0.498 1845 0.557 1846 0.878 1847 0.997 1848 0.954 1849 0.909 1850 1.066 1851 1.201 1852 0.956 1853 0.983 1854 1.15 1855 1.132 1856 0.82 1857 0.873 1858 0.805 1859 0.761 1860 1.02 1861 0.982 1862 1.014 1863 0.947 1864 0.452 1865 0.818 1866 1.164 1867 1.073 1868 1.364 1869 1.119 1870 1.039 1871 0.966 1872 0.926 1873 0.759 1874 1.026 1875 0.892 1876 1.075 1877 0.873 1878 1.268 1879 1.289 1880 1.129 1881 1.05 1882 0.995 1883 0.951 1884 1.292 1885 1.005 1886 1.318 1887 1.01 1888 1.004 1889 1.182 1890 1.227 1891 1.288 1892 1.016 1893 1.071 1894 1.331 1895 1.147 1896 1.198 1897 1.051 1898 0.621 1899 0.971 1900 1.029 1901 1.068 1902 1.076 1903 1.027 1904 1.051 1905 1.394 1906 1.41 1907 1.269 1908 1.205 1909 0.975 1910 1.032 1911 0.969 1912 0.686 1913 0.759 1914 0.946 1915 1.195 1916 1.088 1917 0.916 1918 0.577 1919 0.686 1920 0.466 1921 0.928 1922 0.891 1923 0.948 1924 0.625 1925 1.103 1926 1.04 1927 1.081 1928 0.977 1929 0.647 1930 1.132 1931 0.617 1932 0.861 1933 0.679 1934 0.67 1935 0.9 1936 1.162 1937 1.107 1938 1.119 1939 0.745 1940 1.093 1941 1.256 1942 1.238 1943 1.241 1944 1.1 1945 0.929 1946 0.851 1947 0.736 1948 0.88 1949 0.886 1950 0.792 1951 0.891 1952 1.123 1953 1.36 1954 1.028 1955 0.811 1956 1.04 1957 1.022 1958 1.07 1959 0.978 1960 0.938 1961 0.935 1962 0.791 1963 0.803 1964 0.742 1965 0.966 1966 0.91 1967 0.968 1968 1.071 1969 1.107 1970 0.953 1971 1.032 1972 0.657 1973 0.853 1974 1.112 1975 1.014 1976 0.551 1977 0.505 1978 1.214 1979 1.158 1980 1.307 1981 1.044 1982 1.107 1983 1.126 1984 1.198 1985 1.033 1986 1.282 1987 0.822 1988 1.016 1989 0.856 1990 0.77 1991 0.946 1992 0.711 1993 1.199 1994 0.924 1995 1.1 1996 1.159 1997 1.183 1998 1.536 1999 1.338 2000 1.245 2001 0.824 2002 0.907 2003 0.927 2004 1.027