# asia_chin006 - Dulan - 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/5996 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: asia_chin006 - Dulan - 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: Dulan # Location: # Country: China # Northernmost_Latitude: 36.0 # Southernmost_Latitude: 36.0 # Easternmost_Longitude: 98.0 # Westernmost_Longitude: 98.0 # Elevation: 3800 m #-------------------- # Data_Collection # Collection_Name: asia_chin006B # Earliest_Year: 159 # Most_Recent_Year: 1993 # 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":"6.65675597267","T2":"17.9858890507","M1":"0.0218554327171","M2":"0.345139677123"}} #-------------------- # Species # Species_Name: Qilianshan juniper # Species_Code: JUPR #-------------------- # 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 159 0.023 160 0.814 161 0.774 162 0.977 163 0.879 164 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0.021 1251 0.984 1252 0.282 1253 0.253 1254 0.089 1255 0.061 1256 0.181 1257 0.916 1258 0.413 1259 0.658 1260 0.763 1261 0 1262 0.941 1263 0.323 1264 0.157 1265 0.941 1266 0.084 1267 0.169 1268 0.008 1269 0.868 1270 0.012 1271 0.133 1272 0.853 1273 0.748 1274 0.162 1275 0.133 1276 0.79 1277 0.093 1278 0.145 1279 0.826 1280 0.638 1281 0.598 1282 0.126 1283 0.121 1284 0.022 1285 0.609 1286 0.579 1287 0.775 1288 0.94 1289 0.913 1290 0.802 1291 0.809 1292 0.086 1293 0.536 1294 0.811 1295 0.699 1296 0.87 1297 0.155 1298 0.836 1299 0.724 1300 0.01 1301 0.61 1302 0.587 1303 0.061 1304 0.791 1305 0.783 1306 0.961 1307 0.98 1308 0.76 1309 0.421 1310 0.949 1311 0.717 1312 0.049 1313 0.924 1314 0.102 1315 0.736 1316 0.339 1317 0.762 1318 0.17 1319 0.565 1320 0.04 1321 0.179 1322 0.499 1323 0.892 1324 0.123 1325 0.308 1326 0.944 1327 0.019 1328 0.99 1329 0.512 1330 0.999 1331 0.089 1332 0.944 1333 0.289 1334 0.245 1335 0.889 1336 0.186 1337 0.975 1338 0.034 1339 0.954 1340 0.945 1341 0.864 1342 0.737 1343 0.65 1344 0.567 1345 0.931 1346 0.16 1347 0.898 1348 0.169 1349 0.846 1350 0.099 1351 0.133 1352 0.154 1353 0.906 1354 0.16 1355 0.175 1356 0.153 1357 0.224 1358 0.911 1359 0.405 1360 0.122 1361 0.199 1362 0.211 1363 0.592 1364 0.159 1365 0.353 1366 0.359 1367 0.285 1368 0.906 1369 0.504 1370 0.935 1371 0.199 1372 0.037 1373 0.337 1374 0.28 1375 0.056 1376 0.529 1377 0.917 1378 0.157 1379 0.837 1380 0.073 1381 0.331 1382 0.186 1383 0.033 1384 0.134 1385 0.701 1386 0.944 1387 0.14 1388 0.348 1389 0.1 1390 0.999 1391 0.13 1392 0.089 1393 0.229 1394 0.257 1395 0.16 1396 0.982 1397 0.1 1398 0.964 1399 0.217 1400 0.1 1401 0.737 1402 0.42 1403 0.752 1404 0.22 1405 0.45 1406 0.14 1407 0.344 1408 0.028 1409 0.416 1410 0.173 1411 0.681 1412 0.09 1413 0.283 1414 0.315 1415 0.268 1416 0.218 1417 0.231 1418 0.231 1419 0.585 1420 0.278 1421 0.013 1422 0.095 1423 0.869 1424 0.918 1425 0.34 1426 0.965 1427 0.24 1428 0.958 1429 0.057 1430 0.929 1431 0.863 1432 0.1 1433 0.92 1434 0.089 1435 0.132 1436 0.535 1437 0.966 1438 0.646 1439 0.216 1440 0.095 1441 0.811 1442 0.132 1443 0.19 1444 0.636 1445 0.127 1446 0.252 1447 0.744 1448 0.013 1449 0.842 1450 0.588 1451 0.17 1452 0.008 1453 0.596 1454 0.743 1455 0.507 1456 0.692 1457 0.797 1458 0.871 1459 0.598 1460 0.702 1461 0.855 1462 0.202 1463 0.821 1464 0.139 1465 0.801 1466 0.807 1467 0.818 1468 0.63 1469 0.99 1470 0.639 1471 0.633 1472 0.649 1473 0.834 1474 0.844 1475 0.952 1476 0.575 1477 0.887 1478 0.515 1479 0.892 1480 0.332 1481 0.198 1482 0.838 1483 0.219 1484 0.435 1485 0.069 1486 0.948 1487 0.096 1488 0.935 1489 0.51 1490 0.128 1491 0.064 1492 0.602 1493 0.765 1494 0.668 1495 0.166 1496 0.758 1497 0.543 1498 0.674 1499 0.325 1500 0.724 1501 0.822 1502 0.614 1503 0.959 1504 0.006 1505 0.633 1506 0.242 1507 0.061 1508 0.988 1509 0.623 1510 0.578 1511 0.746 1512 0.32 1513 0.989 1514 0.694 1515 0.476 1516 0.819 1517 0.072 1518 0.871 1519 0.094 1520 0.992 1521 0.45 1522 0.083 1523 0.188 1524 0.712 1525 0.446 1526 0.284 1527 0.078 1528 0.517 1529 0.216 1530 0.324 1531 0.967 1532 0.014 1533 0.247 1534 0.255 1535 0.532 1536 0.342 1537 0.123 1538 0.957 1539 0.304 1540 0.135 1541 0.315 1542 0.989 1543 0.322 1544 0.287 1545 0.499 1546 0.375 1547 0.898 1548 0.812 1549 0.139 1550 0.003 1551 0.356 1552 0.411 1553 0.095 1554 0.817 1555 0.099 1556 0.218 1557 0.34 1558 0.711 1559 0.395 1560 0.867 1561 0.225 1562 0.034 1563 0.855 1564 0.202 1565 0.066 1566 0.078 1567 0.165 1568 0.994 1569 0.137 1570 0.203 1571 0.233 1572 0.064 1573 0.258 1574 0.335 1575 0.347 1576 0.388 1577 0.463 1578 0.394 1579 0.304 1580 0.168 1581 0.955 1582 0.394 1583 0.467 1584 0.898 1585 0.148 1586 0.61 1587 0.878 1588 0.448 1589 0.976 1590 0.769 1591 0.017 1592 0.168 1593 0.702 1594 0.017 1595 0.851 1596 0.22 1597 0.315 1598 0.124 1599 0.121 1600 0.645 1601 0.819 1602 0.435 1603 0.917 1604 0.91 1605 0.071 1606 0.037 1607 0.116 1608 0.96 1609 0.056 1610 0.464 1611 0.027 1612 0.985 1613 0.022 1614 0.081 1615 0.974 1616 0.137 1617 0.895 1618 0.061 1619 0.044 1620 0.789 1621 0.879 1622 0.823 1623 0.453 1624 0.112 1625 0.091 1626 0.918 1627 0.82 1628 0.248 1629 0.081 1630 0.693 1631 0.149 1632 0.835 1633 0.178 1634 0.723 1635 0.298 1636 0.479 1637 0.327 1638 0.155 1639 0.046 1640 0.982 1641 0.826 1642 0.902 1643 0.872 1644 0.944 1645 0.943 1646 0.075 1647 0.315 1648 0.833 1649 0.505 1650 0.581 1651 0.786 1652 0.763 1653 0.672 1654 0.077 1655 0.814 1656 0.945 1657 0.563 1658 0.042 1659 0.045 1660 0.907 1661 0.168 1662 0.149 1663 0.851 1664 0.147 1665 0.277 1666 0.027 1667 0.471 1668 0.857 1669 0.085 1670 0.395 1671 0.231 1672 0.704 1673 0.205 1674 0.066 1675 0.03 1676 0.731 1677 0.711 1678 0.797 1679 0.063 1680 0.958 1681 0.022 1682 0.643 1683 0.157 1684 0.585 1685 0.257 1686 0.988 1687 0.25 1688 0.544 1689 0.597 1690 0.916 1691 0.061 1692 0.882 1693 0.393 1694 0.764 1695 0.923 1696 0.645 1697 0.987 1698 0.55 1699 0.791 1700 0.676 1701 0.485 1702 0.961 1703 0.761 1704 0.117 1705 0.028 1706 0.001 1707 0.755 1708 0.735 1709 0.209 1710 0.521 1711 0.756 1712 0.86 1713 0.273 1714 0.582 1715 0.159 1716 0.687 1717 0.549 1718 0.922 1719 0.729 1720 0.924 1721 0.499 1722 0.85 1723 0.719 1724 0.245 1725 0.467 1726 0.065 1727 0.533 1728 0.715 1729 0.649 1730 0.979 1731 0.845 1732 0.008 1733 0.893 1734 0.284 1735 0.281 1736 0.442 1737 0.323 1738 0.353 1739 0.909 1740 0.087 1741 0.602 1742 0.461 1743 0.051 1744 0.314 1745 0.985 1746 0.952 1747 0.028 1748 0.403 1749 0.688 1750 0.829 1751 0.297 1752 0.303 1753 0.019 1754 0.098 1755 0.039 1756 0.043 1757 0.933 1758 0.037 1759 0.069 1760 0.203 1761 0.096 1762 0.287 1763 0.139 1764 0.915 1765 0.267 1766 0.706 1767 0.25 1768 0.068 1769 0.025 1770 0.245 1771 0.546 1772 0.202 1773 0.218 1774 0.975 1775 0.169 1776 0.774 1777 0.103 1778 0.383 1779 0.532 1780 0.239 1781 0.314 1782 0.683 1783 0.145 1784 0.182 1785 0.196 1786 0.29 1787 0.611 1788 0.969 1789 0.469 1790 0.497 1791 0.75 1792 0.14 1793 0.715 1794 0.784 1795 0.738 1796 0.489 1797 0.564 1798 0.408 1799 0.077 1800 0.401 1801 0.475 1802 0.327 1803 0.015 1804 0.145 1805 0.526 1806 0.101 1807 0.129 1808 0.889 1809 0.604 1810 0.886 1811 0.125 1812 0.11 1813 0.811 1814 0.028 1815 0.927 1816 0.523 1817 0.836 1818 0.549 1819 0.821 1820 0.596 1821 0.666 1822 0.098 1823 0.653 1824 0.064 1825 0.044 1826 0.953 1827 0.344 1828 0.94 1829 0.25 1830 0.16 1831 0.514 1832 0.341 1833 0.54 1834 0.623 1835 0.272 1836 0.195 1837 0.86 1838 0.07 1839 0.422 1840 0.998 1841 0.24 1842 0.434 1843 0.701 1844 0.169 1845 0.203 1846 0.412 1847 0.083 1848 0.415 1849 0.406 1850 0.889 1851 0.02 1852 0.873 1853 0.053 1854 0.273 1855 0.124 1856 0.176 1857 0.787 1858 0.065 1859 0.869 1860 0.754 1861 0.309 1862 0.316 1863 0.351 1864 0.946 1865 0.076 1866 0.981 1867 0.877 1868 0.951 1869 0.484 1870 0.078 1871 0.968 1872 0.85 1873 0.098 1874 0.745 1875 0.9 1876 0.882 1877 0.558 1878 0.898 1879 0.98 1880 0.925 1881 0.874 1882 0.158 1883 0.133 1884 0.602 1885 0.019 1886 0.284 1887 0.012 1888 0.208 1889 0.115 1890 0.405 1891 0.302 1892 0.303 1893 0.259 1894 0.345 1895 0.776 1896 0.487 1897 0.212 1898 0.916 1899 0.191 1900 0.111 1901 0.254 1902 0.053 1903 0.13 1904 0.079 1905 0.117 1906 0.176 1907 0.156 1908 0.039 1909 0.018 1910 0.233 1911 0.057 1912 0.273 1913 0.231 1914 0.357 1915 0.294 1916 0.241 1917 0.954 1918 0.364 1919 0.812 1920 0.353 1921 0.457 1922 0.218 1923 0.025 1924 0.44 1925 0.82 1926 0.571 1927 0.812 1928 0.874 1929 0.763 1930 0.96 1931 0.631 1932 0.829 1933 0.006 1934 0.866 1935 0.044 1936 0.978 1937 0.759 1938 0.185 1939 0.075 1940 0.816 1941 0.654 1942 0.773 1943 0.448 1944 0.325 1945 0.024 1946 0.507 1947 0.358 1948 0.4 1949 0.278 1950 0.079 1951 0.114 1952 0.186 1953 0.847 1954 0.213 1955 0.359 1956 0.226 1957 0.047 1958 0.593 1959 0.63 1960 0.304 1961 0.66 1962 0.87 1963 0.839 1964 0.354 1965 0.397 1966 0.429 1967 0.419 1968 0.05 1969 0.009 1970 0.399 1971 0.84 1972 0.025 1973 0.065 1974 0.101 1975 0.209 1976 0.915 1977 0.169 1978 0.016 1979 0.434 1980 0.23 1981 0.15 1982 0.193 1983 0.3 1984 0.005 1985 0.198 1986 0.178 1987 0.257 1988 0.404 1989 0.496 1990 0.498 1991 0.233 1992 0.031 1993 0.479