# northamerica_usa_ak062 - Death 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/3049 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_ak062 - Death 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: Death Valley # Location: # Country: United States # Northernmost_Latitude: 65.2 # Southernmost_Latitude: 65.2 # Easternmost_Longitude: -162.27 # Westernmost_Longitude: -162.27 # Elevation: 239 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_ak062B # Earliest_Year: 1358 # Most_Recent_Year: 2002 # 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":"6.10921452978","T2":"17.0972314402","M1":"0.0225924712484","M2":"0.408521553855"}} #-------------------- # Species # Species_Name: white spruce # Species_Code: PCGL #-------------------- # 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 1358 0.667 1359 0.876 1360 0.809 1361 0.693 1362 0.952 1363 0.902 1364 0.795 1365 0.589 1366 0.703 1367 0.68 1368 0.689 1369 0.703 1370 0.838 1371 0.823 1372 0.637 1373 0.721 1374 0.693 1375 0.704 1376 0.727 1377 0.736 1378 0.741 1379 0.754 1380 0.648 1381 0.721 1382 0.857 1383 0.708 1384 0.818 1385 0.62 1386 0.811 1387 0.749 1388 0.805 1389 0.541 1390 0.551 1391 0.698 1392 0.529 1393 0.61 1394 0.569 1395 0.603 1396 0.651 1397 0.691 1398 0.659 1399 0.605 1400 0.769 1401 0.807 1402 0.745 1403 0.837 1404 0.766 1405 0.719 1406 0.78 1407 0.95 1408 0.909 1409 0.931 1410 1.133 1411 1.258 1412 1.255 1413 1.169 1414 1.153 1415 1.166 1416 1.157 1417 1.118 1418 1.186 1419 1.4 1420 1.155 1421 0.96 1422 0.937 1423 0.927 1424 1.025 1425 1.506 1426 1.446 1427 1.102 1428 0.941 1429 1.027 1430 0.948 1431 0.794 1432 1.022 1433 1.097 1434 1.051 1435 1.183 1436 1.124 1437 1.129 1438 1.276 1439 0.998 1440 1.102 1441 0.992 1442 0.905 1443 1.283 1444 0.937 1445 1.151 1446 1.207 1447 1.116 1448 1.15 1449 1.147 1450 1.008 1451 1.223 1452 1.097 1453 1.024 1454 0.824 1455 0.961 1456 1.131 1457 1.24 1458 1.021 1459 0.765 1460 0.876 1461 0.71 1462 1.077 1463 0.608 1464 0.973 1465 0.927 1466 0.797 1467 1.373 1468 0.967 1469 0.946 1470 1.192 1471 0.822 1472 0.962 1473 1.296 1474 1.076 1475 1.458 1476 1.064 1477 0.74 1478 0.79 1479 0.725 1480 0.986 1481 0.81 1482 1.072 1483 1.18 1484 1.166 1485 1.109 1486 1.363 1487 1.168 1488 1.186 1489 1.22 1490 1.113 1491 1.487 1492 1.341 1493 1.299 1494 1.397 1495 1.123 1496 1.218 1497 1.009 1498 0.889 1499 0.925 1500 0.976 1501 1.082 1502 1.001 1503 1.05 1504 0.723 1505 0.842 1506 0.898 1507 0.894 1508 0.752 1509 0.774 1510 0.751 1511 0.672 1512 0.898 1513 0.826 1514 0.841 1515 0.986 1516 1.179 1517 1.104 1518 1.2 1519 1.583 1520 1.193 1521 1.276 1522 1.085 1523 1.216 1524 1.13 1525 1.428 1526 1.281 1527 1.041 1528 1.012 1529 0.873 1530 1.155 1531 0.903 1532 1.151 1533 1.136 1534 1.183 1535 1.461 1536 1.24 1537 1.09 1538 1.118 1539 1.03 1540 1.39 1541 1.096 1542 1.134 1543 0.837 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1.293 1728 0.948 1729 1.06 1730 1.145 1731 1.4 1732 1.138 1733 1.232 1734 1.175 1735 0.842 1736 1.111 1737 1.116 1738 1.064 1739 1.322 1740 1.129 1741 1.094 1742 0.782 1743 1.425 1744 0.774 1745 0.833 1746 0.939 1747 0.918 1748 1.109 1749 1.38 1750 1.535 1751 0.893 1752 1.44 1753 0.912 1754 0.842 1755 0.803 1756 0.925 1757 0.853 1758 1.101 1759 0.998 1760 0.957 1761 1.286 1762 1.062 1763 1.051 1764 0.983 1765 0.805 1766 1.131 1767 1.006 1768 1.025 1769 1.111 1770 1.24 1771 0.879 1772 0.739 1773 0.647 1774 0.896 1775 0.63 1776 0.681 1777 0.515 1778 0.677 1779 0.61 1780 0.414 1781 0.77 1782 0.623 1783 0.595 1784 0.746 1785 0.735 1786 0.687 1787 0.731 1788 0.858 1789 0.83 1790 1.042 1791 1.154 1792 1.402 1793 1.108 1794 1.557 1795 1.317 1796 1.209 1797 0.862 1798 0.989 1799 0.857 1800 0.928 1801 0.898 1802 0.989 1803 1.055 1804 0.849 1805 0.73 1806 0.918 1807 0.796 1808 1.153 1809 0.653 1810 0.728 1811 0.785 1812 0.781 1813 0.778 1814 0.799 1815 0.712 1816 0.556 1817 0.931 1818 0.955 1819 0.972 1820 1.19 1821 0.987 1822 0.704 1823 1.085 1824 1.104 1825 1.132 1826 0.978 1827 1.154 1828 1.164 1829 1.185 1830 1.09 1831 1.177 1832 1.099 1833 1.084 1834 0.823 1835 0.838 1836 0.712 1837 0.716 1838 0.877 1839 0.723 1840 0.838 1841 0.724 1842 0.84 1843 0.887 1844 1.044 1845 0.746 1846 0.885 1847 1.029 1848 1.043 1849 1.004 1850 1.04 1851 0.916 1852 1.214 1853 1.254 1854 1.163 1855 1.447 1856 0.933 1857 1.583 1858 1.354 1859 1.19 1860 1.246 1861 1.135 1862 1.127 1863 1.267 1864 1.267 1865 1.188 1866 0.871 1867 1.372 1868 1.033 1869 1.095 1870 1.06 1871 0.882 1872 1.212 1873 1.274 1874 1.352 1875 1.248 1876 1.259 1877 1.265 1878 1.259 1879 1.063 1880 1.23 1881 1.322 1882 1.405 1883 0.996 1884 1.252 1885 1.234 1886 1.053 1887 1.309 1888 1.152 1889 1.077 1890 1.127 1891 1.098 1892 0.863 1893 0.885 1894 1.008 1895 1.009 1896 0.849 1897 1.111 1898 1.125 1899 0.431 1900 1.036 1901 0.773 1902 1.02 1903 0.816 1904 0.761 1905 0.754 1906 1.247 1907 0.974 1908 1.061 1909 0.785 1910 0.759 1911 1.124 1912 0.556 1913 0.932 1914 0.987 1915 1.143 1916 1.013 1917 0.911 1918 1.165 1919 0.765 1920 1.256 1921 1.23 1922 0.615 1923 1.067 1924 0.916 1925 0.987 1926 1.07 1927 0.909 1928 0.906 1929 0.919 1930 0.73 1931 0.758 1932 0.928 1933 0.83 1934 0.818 1935 1.068 1936 0.81 1937 0.924 1938 0.6 1939 0.81 1940 0.5 1941 0.733 1942 0.763 1943 0.873 1944 0.77 1945 0.801 1946 0.861 1947 0.629 1948 0.771 1949 0.644 1950 0.718 1951 0.751 1952 1 1953 0.87 1954 0.834 1955 0.945 1956 0.955 1957 1.121 1958 1.135 1959 1.08 1960 1.167 1961 0.786 1962 1.057 1963 0.877 1964 1.042 1965 0.808 1966 1.1 1967 0.921 1968 0.788 1969 0.749 1970 0.83 1971 1.051 1972 0.927 1973 0.796 1974 0.824 1975 0.68 1976 0.68 1977 0.858 1978 0.519 1979 0.841 1980 0.705 1981 0.755 1982 0.994 1983 0.714 1984 0.873 1985 0.862 1986 0.984 1987 0.905 1988 0.831 1989 1.031 1990 1.042 1991 0.972 1992 0.938 1993 0.809 1994 0.716 1995 0.722 1996 0.828 1997 1.022 1998 0.883 1999 0.891 2000 0.885 2001 0.953 2002 0.857