# northamerica_usa_or055 - Blue Jay Spring - 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/4773 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_or055 - Blue Jay Spring - 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: Blue Jay Spring # Location: # Country: United States # Northernmost_Latitude: 42.92 # Southernmost_Latitude: 42.92 # Easternmost_Longitude: -121.53 # Westernmost_Longitude: -121.53 # Elevation: 1490 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_or055B # Earliest_Year: 1423 # Most_Recent_Year: 1995 # 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":"3.81657366536","T2":"15.1133746479","M1":"0.0233894484191","M2":"0.493886308352"}} #-------------------- # 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 1423 1.32 1424 1.708 1425 1.516 1426 1.615 1427 1.389 1428 1.097 1429 1.03 1430 1.379 1431 1.31 1432 1.106 1433 0.727 1434 0.703 1435 0.988 1436 0.855 1437 0.801 1438 0.923 1439 1.124 1440 1.122 1441 1.145 1442 1.104 1443 0.814 1444 0.541 1445 0.445 1446 0.43 1447 0.25 1448 0.32 1449 0.31 1450 0.464 1451 0.591 1452 0.622 1453 0.814 1454 0.676 1455 0.642 1456 0.834 1457 0.938 1458 0.772 1459 0.763 1460 1.003 1461 1.097 1462 1.261 1463 1.109 1464 1.045 1465 1.104 1466 1.421 1467 1.266 1468 1.089 1469 1.083 1470 1.24 1471 1.392 1472 1.216 1473 1.33 1474 1.461 1475 1.305 1476 1.358 1477 1.246 1478 0.54 1479 0.518 1480 0.318 1481 0.472 1482 0.458 1483 0.494 1484 0.568 1485 0.74 1486 1.001 1487 1.057 1488 0.849 1489 0.871 1490 1.037 1491 1.244 1492 1.326 1493 1.472 1494 1.595 1495 1.623 1496 1.35 1497 1.956 1498 0.958 1499 0.516 1500 0.482 1501 0.688 1502 0.7 1503 0.814 1504 0.808 1505 1.144 1506 1.045 1507 1.361 1508 1.193 1509 1.315 1510 0.841 1511 1.637 1512 1.197 1513 1.081 1514 1.459 1515 1.101 1516 1.215 1517 0.832 1518 0.506 1519 0.179 1520 0.434 1521 0.55 1522 0.594 1523 0.73 1524 1.159 1525 1.258 1526 1.178 1527 1.368 1528 1.36 1529 0.91 1530 1.46 1531 1.443 1532 1.188 1533 1.107 1534 0.9 1535 0.356 1536 0.511 1537 0.477 1538 0.613 1539 0.68 1540 0.758 1541 0.927 1542 0.991 1543 1.126 1544 1.162 1545 1.313 1546 0.92 1547 1.312 1548 1.184 1549 1.417 1550 1.32 1551 1.24 1552 1.343 1553 1.365 1554 0.961 1555 1.288 1556 1.432 1557 0.978 1558 0.964 1559 0.939 1560 0.984 1561 0.939 1562 0.881 1563 0.943 1564 0.842 1565 0.874 1566 1.019 1567 1.095 1568 1.171 1569 1.214 1570 1.182 1571 1.016 1572 1.106 1573 0.955 1574 0.809 1575 0.64 1576 0.57 1577 0.589 1578 0.79 1579 0.842 1580 1.072 1581 0.74 1582 1.049 1583 1.247 1584 1.022 1585 1.272 1586 1.156 1587 1.106 1588 1.472 1589 1.48 1590 1.188 1591 1.244 1592 1.259 1593 1.197 1594 1.087 1595 1.084 1596 1.229 1597 1.198 1598 1.214 1599 1.225 1600 1.227 1601 1.058 1602 0.74 1603 0.748 1604 0.883 1605 0.706 1606 0.99 1607 1.15 1608 1.075 1609 1.082 1610 1.461 1611 1.611 1612 1.326 1613 1.276 1614 1.171 1615 1.267 1616 1.312 1617 1.396 1618 1.286 1619 0.972 1620 0.809 1621 1.046 1622 0.862 1623 0.761 1624 0.742 1625 0.681 1626 0.667 1627 0.658 1628 0.812 1629 0.697 1630 0.679 1631 0.701 1632 0.68 1633 0.607 1634 0.786 1635 0.777 1636 0.955 1637 1 1638 0.876 1639 0.653 1640 0.989 1641 1.21 1642 1.03 1643 0.867 1644 0.901 1645 1.128 1646 1.145 1647 0.822 1648 1.15 1649 1.035 1650 1.022 1651 0.831 1652 0.99 1653 0.951 1654 1.102 1655 0.93 1656 1.008 1657 0.716 1658 0.996 1659 0.322 1660 0.017 1661 0.129 1662 0.206 1663 0.316 1664 0.344 1665 0.417 1666 0.61 1667 0.704 1668 0.712 1669 1.047 1670 1.193 1671 1.248 1672 1.2 1673 1.309 1674 1.463 1675 1.33 1676 1.086 1677 0.93 1678 1.094 1679 1.05 1680 0.915 1681 0.889 1682 0.959 1683 0.932 1684 1 1685 1.126 1686 1.376 1687 1.144 1688 1.156 1689 1.33 1690 1.53 1691 1.185 1692 1.261 1693 1.246 1694 1.348 1695 1.223 1696 1.31 1697 1.605 1698 1.442 1699 1.242 1700 1.283 1701 1.063 1702 1.122 1703 1.106 1704 1.155 1705 0.989 1706 0.989 1707 1.096 1708 1.028 1709 0.941 1710 1.153 1711 1.173 1712 1.173 1713 1.273 1714 1.293 1715 1.573 1716 1.641 1717 1.041 1718 0.861 1719 0.539 1720 0.138 1721 0.294 1722 0.375 1723 0.497 1724 0.449 1725 0.758 1726 0.951 1727 0.856 1728 0.66 1729 0.655 1730 0.799 1731 1.027 1732 1.14 1733 1.177 1734 1.054 1735 1.339 1736 1.275 1737 1.278 1738 1.267 1739 1.016 1740 1.102 1741 0.77 1742 0.782 1743 0.886 1744 1.028 1745 0.977 1746 0.79 1747 0.8 1748 0.823 1749 0.879 1750 1.179 1751 1.062 1752 1.348 1753 1.246 1754 1.002 1755 0.96 1756 0.581 1757 0.537 1758 0.766 1759 0.92 1760 0.867 1761 1.13 1762 0.981 1763 0.998 1764 1.179 1765 1.19 1766 1.184 1767 1.13 1768 1.193 1769 1.099 1770 1.051 1771 0.744 1772 0.326 1773 0.515 1774 0.788 1775 0.915 1776 0.994 1777 0.903 1778 1.02 1779 1.132 1780 1.055 1781 0.994 1782 1.025 1783 1.046 1784 1.225 1785 1.133 1786 1.353 1787 1.171 1788 1.183 1789 1.48 1790 1.333 1791 1.516 1792 1.32 1793 1.144 1794 1.333 1795 1.266 1796 1.26 1797 1.213 1798 1.167 1799 1.362 1800 1.207 1801 0.735 1802 0.509 1803 0.708 1804 0.704 1805 0.795 1806 0.956 1807 0.961 1808 0.971 1809 1.274 1810 0.933 1811 0.926 1812 1.228 1813 1.042 1814 1.299 1815 1.051 1816 1.054 1817 1.142 1818 1.232 1819 1.189 1820 1.147 1821 0.986 1822 1.174 1823 0.951 1824 0.94 1825 1.064 1826 1.006 1827 0.888 1828 1.088 1829 0.884 1830 0.883 1831 0.937 1832 1.187 1833 1.001 1834 0.98 1835 1.072 1836 1.165 1837 1.18 1838 1.085 1839 0.869 1840 0.768 1841 0.809 1842 0.505 1843 0.334 1844 0.34 1845 0.462 1846 0.505 1847 0.556 1848 0.545 1849 0.537 1850 0.566 1851 0.557 1852 0.574 1853 0.657 1854 0.808 1855 0.934 1856 0.843 1857 0.946 1858 0.797 1859 0.709 1860 0.959 1861 1.075 1862 0.962 1863 1.065 1864 0.983 1865 0.926 1866 1.075 1867 1.016 1868 1.04 1869 1.056 1870 1.039 1871 0.923 1872 0.969 1873 1.188 1874 1.247 1875 1.243 1876 0.96 1877 1.005 1878 1.021 1879 1.114 1880 0.998 1881 1.068 1882 0.976 1883 0.888 1884 0.932 1885 0.896 1886 0.781 1887 0.804 1888 1.042 1889 0.65 1890 0.556 1891 0.665 1892 0.805 1893 0.929 1894 1.082 1895 0.947 1896 0.992 1897 1.086 1898 0.897 1899 0.823 1900 1.082 1901 0.974 1902 0.951 1903 1.13 1904 1.114 1905 1.065 1906 1.017 1907 1.325 1908 1.405 1909 1.213 1910 1.216 1911 1.22 1912 1.179 1913 1.231 1914 1.236 1915 1.248 1916 1.271 1917 1.103 1918 0.987 1919 0.904 1920 0.925 1921 0.871 1922 0.585 1923 0.417 1924 0.446 1925 0.498 1926 0.619 1927 0.635 1928 0.76 1929 0.633 1930 0.682 1931 0.6 1932 0.925 1933 0.742 1934 0.773 1935 0.743 1936 0.708 1937 0.924 1938 1.025 1939 0.997 1940 1.079 1941 1.038 1942 1.23 1943 1.38 1944 1.241 1945 1.2 1946 1.398 1947 1.431 1948 1.002 1949 0.99 1950 1.165 1951 1.228 1952 1.197 1953 1.319 1954 1.405 1955 1.248 1956 1.198 1957 1.356 1958 1.244 1959 1.225 1960 1.164 1961 1.151 1962 1.081 1963 1.208 1964 1.002 1965 1.173 1966 1.259 1967 0.97 1968 0.825 1969 1.099 1970 0.944 1971 0.953 1972 1.216 1973 1.084 1974 1.018 1975 0.972 1976 1.066 1977 1.071 1978 1.115 1979 1.161 1980 1.296 1981 0.945 1982 1.105 1983 1.182 1984 1.092 1985 1.166 1986 1.239 1987 0.943 1988 1.08 1989 1.027 1990 1.159 1991 0.835 1992 0.275 1993 0.609 1994 0.552 1995 0.417