# northamerica_usa_co570 - Sheep Pen Canyon - 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/5338 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_co570 - Sheep Pen Canyon - 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: Sheep Pen Canyon # Location: # Country: United States # Northernmost_Latitude: 37.07 # Southernmost_Latitude: 37.07 # Easternmost_Longitude: -103.27 # Westernmost_Longitude: -103.27 # Elevation: 1580 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_co570B # Earliest_Year: 1460 # Most_Recent_Year: 1998 # 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":"4.13780698497","T2":"15.3787006348","M1":"0.0232341458749","M2":"0.43999610911"}} #-------------------- # 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 1460 0.451 1461 0.412 1462 0.312 1463 0.468 1464 0.598 1465 0.531 1466 0.683 1467 0.701 1468 0.429 1469 0.354 1470 0.39 1471 0.736 1472 0.88 1473 0.355 1474 0.685 1475 0.313 1476 0.332 1477 0.449 1478 0.471 1479 0.346 1480 0.377 1481 0.406 1482 0.953 1483 1.32 1484 1.401 1485 0.977 1486 0.42 1487 1.076 1488 0.792 1489 1.145 1490 1.003 1491 0.672 1492 0.795 1493 1.038 1494 0.624 1495 0.466 1496 0.254 1497 0.663 1498 1.24 1499 1.582 1500 1.144 1501 0.702 1502 0.561 1503 0.244 1504 0.864 1505 0.574 1506 0.256 1507 0.545 1508 0.587 1509 0.418 1510 1.403 1511 1.382 1512 1.582 1513 0.996 1514 1.778 1515 1.534 1516 0.992 1517 1.197 1518 1.35 1519 1.997 1520 1.503 1521 1.896 1522 0.552 1523 1.038 1524 0.274 1525 0.348 1526 1.184 1527 1.016 1528 1.039 1529 0.948 1530 0.974 1531 1.018 1532 0.875 1533 1.057 1534 1.608 1535 1.484 1536 1.378 1537 1.512 1538 0.835 1539 0.877 1540 0.989 1541 0.901 1542 0.919 1543 0.942 1544 0.944 1545 1.271 1546 1.918 1547 1.515 1548 0.567 1549 1.236 1550 1.55 1551 1.191 1552 0.442 1553 1.334 1554 1.408 1555 0.99 1556 1.643 1557 1.456 1558 1.235 1559 1.553 1560 1.225 1561 0.674 1562 1.027 1563 0.596 1564 1.36 1565 1.701 1566 1.439 1567 1.431 1568 1.572 1569 2.014 1570 0.96 1571 0.967 1572 1.085 1573 0.395 1574 1.182 1575 0.903 1576 0.632 1577 1.132 1578 0.92 1579 0.158 1580 0.287 1581 0.288 1582 0.419 1583 0.595 1584 0.665 1585 0.58 1586 0.615 1587 0.553 1588 1.135 1589 1.165 1590 0.471 1591 0.293 1592 0.88 1593 0.647 1594 1.078 1595 1.076 1596 1.77 1597 1.583 1598 0.699 1599 0.98 1600 0.604 1601 0.594 1602 0.732 1603 1.391 1604 1.084 1605 1.001 1606 0.88 1607 1.184 1608 0.765 1609 0.56 1610 0.832 1611 1.114 1612 0.537 1613 0.939 1614 0.813 1615 0.914 1616 0.507 1617 0.744 1618 1.119 1619 2.21 1620 2.219 1621 1.835 1622 1.018 1623 1.057 1624 0.543 1625 0.243 1626 0.453 1627 0.497 1628 0.387 1629 0.61 1630 0.638 1631 0.482 1632 0.259 1633 0.605 1634 0.792 1635 1.255 1636 1.691 1637 1.624 1638 0.894 1639 1.48 1640 1.059 1641 0.652 1642 1.585 1643 1.755 1644 1.127 1645 0.323 1646 1.558 1647 1.099 1648 0.703 1649 1.128 1650 0.506 1651 1.507 1652 0.78 1653 1.133 1654 0.274 1655 1.288 1656 1.254 1657 1.408 1658 1.277 1659 0.744 1660 1.628 1661 1.639 1662 1.49 1663 1.338 1664 1.068 1665 0.655 1666 0.538 1667 0.496 1668 0.229 1669 0.623 1670 0.507 1671 0.66 1672 0.341 1673 0.421 1674 1.323 1675 0.739 1676 0.624 1677 0.748 1678 1.291 1679 0.391 1680 1.165 1681 0.474 1682 0.144 1683 1.411 1684 0.372 1685 0.419 1686 0.473 1687 1.057 1688 0.79 1689 0.78 1690 0.72 1691 1.112 1692 1.705 1693 1.77 1694 0.688 1695 0.941 1696 0.591 1697 0.899 1698 0.44 1699 0.156 1700 0.614 1701 1.106 1702 1.117 1703 1.786 1704 0.667 1705 0.803 1706 1.833 1707 1.288 1708 1.127 1709 1.047 1710 2.173 1711 1.551 1712 1.985 1713 1.788 1714 1.348 1715 0.715 1716 0.509 1717 0.261 1718 0.54 1719 0.601 1720 0.869 1721 1.038 1722 1.309 1723 1.322 1724 1.315 1725 0.529 1726 1.373 1727 1.415 1728 1.61 1729 1.363 1730 0.631 1731 0.863 1732 1.743 1733 0.393 1734 1.085 1735 0.606 1736 0.973 1737 0.766 1738 0.279 1739 0.491 1740 0.652 1741 0.425 1742 0.481 1743 1.161 1744 0.871 1745 0.506 1746 2.076 1747 1.841 1748 1.175 1749 1.524 1750 0.844 1751 1.264 1752 0.518 1753 1.327 1754 1.139 1755 1.868 1756 0.864 1757 1.18 1758 1.034 1759 0.879 1760 1.073 1761 0.975 1762 1.384 1763 0.814 1764 1.515 1765 0.744 1766 1.459 1767 1.353 1768 1.315 1769 0.923 1770 0.311 1771 1.246 1772 0.358 1773 0.655 1774 1.097 1775 1.034 1776 1.085 1777 0.826 1778 0.997 1779 1.39 1780 0.827 1781 0.732 1782 1.394 1783 1.232 1784 0.556 1785 1.11 1786 0.648 1787 0.799 1788 0.669 1789 0.125 1790 0.91 1791 0.753 1792 1.392 1793 1.143 1794 1.083 1795 0.844 1796 0.561 1797 1.575 1798 1.026 1799 1.156 1800 1.424 1801 0.993 1802 0.661 1803 0.668 1804 0.886 1805 0.763 1806 0.729 1807 1.12 1808 0.401 1809 0.199 1810 0.572 1811 0.202 1812 0.541 1813 0.626 1814 1.232 1815 1.145 1816 1.302 1817 1.387 1818 0.376 1819 0.983 1820 0.333 1821 0.711 1822 0.113 1823 1.028 1824 0.547 1825 1.499 1826 1.327 1827 1.53 1828 2.073 1829 2.075 1830 1.041 1831 0.776 1832 1.036 1833 1.447 1834 0.759 1835 1.04 1836 1.127 1837 1.17 1838 1.562 1839 2.311 1840 1.869 1841 1.386 1842 0.332 1843 1.118 1844 1.158 1845 0.553 1846 0.456 1847 0.684 1848 -0.024 1849 1.165 1850 0.513 1851 -0.024 1852 0.162 1853 0.986 1854 1.126 1855 0.738 1856 0.663 1857 0.828 1858 1.322 1859 0.819 1860 0.716 1861 0.352 1862 -0.028 1863 0.218 1864 0.737 1865 0.945 1866 0.844 1867 1.251 1868 1.139 1869 1.427 1870 1.15 1871 1.088 1872 1.572 1873 0.849 1874 0.888 1875 1.074 1876 0.714 1877 0.958 1878 1.787 1879 0.976 1880 0.278 1881 1.093 1882 1.085 1883 0.67 1884 1.51 1885 1.6 1886 1.227 1887 1.488 1888 0.651 1889 1.203 1890 1.63 1891 1.174 1892 1.185 1893 0.437 1894 0.566 1895 0.98 1896 0.564 1897 0.938 1898 0.948 1899 0.296 1900 1.358 1901 1.04 1902 0.764 1903 0.996 1904 0.809 1905 1.539 1906 1.247 1907 1.408 1908 0.318 1909 1.371 1910 0.898 1911 0.562 1912 1.038 1913 1.102 1914 1.35 1915 1.655 1916 0.905 1917 0.967 1918 1.264 1919 1.548 1920 1.753 1921 2.009 1922 1.374 1923 0.951 1924 1.075 1925 0.991 1926 0.957 1927 0.158 1928 0.869 1929 1.13 1930 0.89 1931 1.241 1932 1.108 1933 0.456 1934 0.22 1935 0.324 1936 -0.031 1937 0.302 1938 0.301 1939 0.399 1940 0.426 1941 0.974 1942 1.35 1943 1.219 1944 1.802 1945 1.447 1946 1.329 1947 1.289 1948 1.378 1949 1.534 1950 0.32 1951 0.782 1952 0.647 1953 0.171 1954 0.379 1955 0.809 1956 0.111 1957 0.949 1958 1.352 1959 0.824 1960 0.913 1961 1.043 1962 0.857 1963 0.064 1964 0.235 1965 0.536 1966 0.484 1967 0.619 1968 0.688 1969 1.753 1970 1.461 1971 1.638 1972 1.185 1973 1.095 1974 0.408 1975 0.413 1976 0.802 1977 1.275 1978 0.94 1979 1.286 1980 1.103 1981 0.558 1982 0.801 1983 0.918 1984 0.987 1985 0.89 1986 0.797 1987 1.64 1988 1.457 1989 1.004 1990 1.479 1991 1.63 1992 1.915 1993 1.19 1994 1.094 1995 1.03 1996 0.132 1997 1.051 1998 0.658