# northamerica_usa_az088 - Medicine 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/3084 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_az088 - Medicine 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: Medicine Valley # Location: # Country: United States # Northernmost_Latitude: 35.4 # Southernmost_Latitude: 35.4 # Easternmost_Longitude: -111.57 # Westernmost_Longitude: -111.57 # Elevation: 2195 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_az088B # Earliest_Year: 1712 # Most_Recent_Year: 1972 # 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":"4.18257465275","T2":"15.5471589786","M1":"0.0240580220614","M2":"0.544356794049"}} #-------------------- # 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 1712 0.864 1713 1.059 1714 0.975 1715 1.009 1716 0.354 1717 0.914 1718 1.009 1719 1.585 1720 1.891 1721 1.386 1722 0.91 1723 1.198 1724 0.785 1725 1.181 1726 1.921 1727 1.0 1728 0.844 1729 0.371 1730 0.731 1731 0.944 1732 0.887 1733 0.592 1734 0.868 1735 0.276 1736 1.118 1737 0.579 1738 1.07 1739 0.685 1740 1.039 1741 1.041 1742 0.537 1743 1.556 1744 1.183 1745 1.55 1746 1.775 1747 1.444 1748 0.301 1749 1.249 1750 0.756 1751 1.123 1752 0.266 1753 0.822 1754 1.25 1755 0.384 1756 1.177 1757 1.161 1758 1.447 1759 1.359 1760 1.409 1761 0.544 1762 0.975 1763 0.403 1764 0.974 1765 0.821 1766 1.208 1767 1.14 1768 1.212 1769 0.944 1770 1.035 1771 1.166 1772 0.847 1773 0.284 1774 0.632 1775 0.641 1776 0.768 1777 0.786 1778 0.72 1779 0.855 1780 0.579 1781 1.065 1782 0.816 1783 1.473 1784 1.573 1785 0.483 1786 0.522 1787 1.153 1788 0.693 1789 0.762 1790 0.888 1791 1.158 1792 1.343 1793 2.106 1794 1.217 1795 1.656 1796 1.654 1797 1.405 1798 0.696 1799 1.443 1800 0.656 1801 0.619 1802 0.719 1803 0.471 1804 0.972 1805 0.401 1806 0.745 1807 0.877 1808 0.913 1809 1.03 1810 1.171 1811 1.257 1812 1.125 1813 0.127 1814 0.644 1815 0.922 1816 1.317 1817 0.967 1818 0.469 1819 0.52 1820 0.555 1821 1.122 1822 0.42 1823 0.85 1824 1.124 1825 1.384 1826 1.566 1827 1.187 1828 1.672 1829 0.664 1830 1.093 1831 1.402 1832 1.083 1833 1.542 1834 0.843 1835 1.367 1836 0.885 1837 1.078 1838 1.32 1839 1.728 1840 1.328 1841 1.079 1842 0.478 1843 0.83 1844 1.297 1845 0.335 1846 0.518 1847 -0.024 1848 0.841 1849 0.992 1850 1.361 1851 0.886 1852 1.339 1853 1.0 1854 1.045 1855 1.059 1856 0.807 1857 -0.024 1858 0.993 1859 0.509 1860 0.809 1861 0.908 1862 1.216 1863 0.541 1864 0.187 1865 0.901 1866 1.335 1867 1.207 1868 1.786 1869 1.122 1870 1.031 1871 0.365 1872 0.856 1873 0.574 1874 0.865 1875 0.715 1876 0.672 1877 0.665 1878 0.669 1879 -0.006 1880 0.065 1881 0.244 1882 0.84 1883 0.831 1884 1.204 1885 1.284 1886 0.952 1887 0.776 1888 1.293 1889 1.402 1890 1.649 1891 1.792 1892 1.333 1893 0.769 1894 1.164 1895 1.083 1896 0.32 1897 0.973 1898 1.036 1899 0.296 1900 0.469 1901 0.56 1902 -0.024 1903 1.019 1904 -0.024 1905 1.224 1906 1.394 1907 2.192 1908 2.204 1909 2.122 1910 1.634 1911 2.07 1912 1.791 1913 0.512 1914 1.128 1915 1.518 1916 1.282 1917 1.679 1918 1.636 1919 1.638 1920 1.57 1921 1.099 1922 1.646 1923 1.161 1924 1.526 1925 0.924 1926 1.337 1927 0.705 1928 0.96 1929 1.022 1930 0.86 1931 0.726 1932 1.249 1933 1.208 1934 0.764 1935 0.859 1936 0.412 1937 0.805 1938 0.651 1939 0.586 1940 0.366 1941 1.224 1942 1.118 1943 0.401 1944 1.065 1945 0.89 1946 0.946 1947 0.571 1948 0.95 1949 1.359 1950 0.582 1951 -0.024 1952 1.021 1953 0.628 1954 0.361 1955 0.827 1956 0.934 1957 0.761 1958 0.769 1959 0.861 1960 0.887 1961 1.288 1962 1.272 1963 0.379 1964 1.04 1965 1.349 1966 1.309 1967 1.387 1968 1.274 1969 1.247 1970 1.775 1971 0.335 1972 1.455