# northamerica_usa_nv516 - Hill 10842 Recollection - 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/3367 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_nv516 - Hill 10842 Recollection - 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: Hill 10842 Recollection # Location: # Country: United States # Northernmost_Latitude: 38.93 # Southernmost_Latitude: 38.93 # Easternmost_Longitude: -114.23 # Westernmost_Longitude: -114.23 # Elevation: 3050 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_nv516B # Earliest_Year: 0 # Most_Recent_Year: 1984 # 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":"4.48792296632","T2":"16.8409659188","M1":"0.0238778869408","M2":"0.453955654143"}} #-------------------- # Species # Species_Name: Intermountain bristlecone pine # Species_Code: PILO #-------------------- # 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 0 1.104 1 0.854 2 0.831 3 0.805 4 1.036 5 1.095 6 1.536 7 0.726 8 0.697 9 1.235 10 1.394 11 1.426 12 0.742 13 1.081 14 0.691 15 0.981 16 1.129 17 0.928 18 0.976 19 1.265 20 1.404 21 1.354 22 1.148 23 1.588 24 1.383 25 1.371 26 1.971 27 1.452 28 1.297 29 1.161 30 1.122 31 1.256 32 1.391 33 1.022 34 1.188 35 1.215 36 1.144 37 0.57 38 1.222 39 1.063 40 0.748 41 1.115 42 1.013 43 0.451 44 0.654 45 1.022 46 1.028 47 0.898 48 0.747 49 0.792 50 1.219 51 0.878 52 0.706 53 0.381 54 1.03 55 0.609 56 0.647 57 1.113 58 1.012 59 0.996 60 1.182 61 1.141 62 1.05 63 1.292 64 1.029 65 0.29 66 0.971 67 1.323 68 1.057 69 0.561 70 1.137 71 0.985 72 1.017 73 0.591 74 0.864 75 1.117 76 1.147 77 1.189 78 1.267 79 1.135 80 0.754 81 1.163 82 1.017 83 0.821 84 0.771 85 0.878 86 0.906 87 1.146 88 1.012 89 1.027 90 0.915 91 0.72 92 0.846 93 0.86 94 1.325 95 0.871 96 1.122 97 1.251 98 1.13 99 1.154 100 0.723 101 0.8 102 0.679 103 0.81 104 0.827 105 0.756 106 0.763 107 1.059 108 0.829 109 0.599 110 1.301 111 1.087 112 0.677 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1.103 1114 0.875 1115 1.014 1116 1.311 1117 1.731 1118 0.993 1119 1.03 1120 1.275 1121 0.95 1122 1.408 1123 0.685 1124 0.798 1125 1.334 1126 0.064 1127 1.062 1128 1.172 1129 1.307 1130 0.84 1131 1.29 1132 0.801 1133 0.775 1134 1.045 1135 0.641 1136 1.133 1137 0.93 1138 1.312 1139 0.996 1140 0.804 1141 0.77 1142 0.809 1143 1.042 1144 1.106 1145 1.223 1146 1.081 1147 1.356 1148 0.779 1149 1.144 1150 0.256 1151 1.14 1152 1.173 1153 0.701 1154 0.579 1155 0.794 1156 0.152 1157 1.24 1158 0.489 1159 0.782 1160 0.842 1161 0.819 1162 0.872 1163 1.008 1164 0.843 1165 1.079 1166 0.892 1167 0.925 1168 1.058 1169 1.07 1170 0.984 1171 0.753 1172 1.272 1173 1.13 1174 0.825 1175 0.941 1176 0.818 1177 0.536 1178 1.144 1179 0.925 1180 1.024 1181 0.948 1182 1.136 1183 0.873 1184 1.17 1185 0.586 1186 0.352 1187 0.97 1188 0.903 1189 0.751 1190 1.007 1191 1.011 1192 1.185 1193 1.078 1194 0.594 1195 0.995 1196 1.084 1197 1.579 1198 0.951 1199 0.921 1200 0.58 1201 0.874 1202 1.286 1203 1.406 1204 1.424 1205 1.022 1206 1.421 1207 1.395 1208 1.002 1209 0.828 1210 1.457 1211 1.502 1212 1.186 1213 1.105 1214 1.177 1215 0.998 1216 1.338 1217 0.911 1218 0.739 1219 1.347 1220 1.087 1221 1.092 1222 1.351 1223 0.883 1224 0.948 1225 0.494 1226 1.04 1227 0.221 1228 1.06 1229 0.762 1230 1.081 1231 1.077 1232 0.675 1233 0.626 1234 0.32 1235 0.892 1236 1.07 1237 0.867 1238 1.244 1239 1.534 1240 1.168 1241 1.233 1242 1.227 1243 0.741 1244 0.611 1245 0.794 1246 0.103 1247 1.107 1248 0.955 1249 0.964 1250 1.186 1251 0.574 1252 0.844 1253 0.936 1254 1.111 1255 0.539 1256 0.651 1257 1.13 1258 0.16 1259 1.361 1260 1.126 1261 1.303 1262 1.267 1263 1.122 1264 0.655 1265 0.166 1266 1.021 1267 1.434 1268 1.406 1269 1.12 1270 0.937 1271 1.081 1272 1.167 1273 0.842 1274 0.688 1275 0.881 1276 0.129 1277 0.676 1278 0.676 1279 0.63 1280 1.145 1281 1.015 1282 1.119 1283 1.245 1284 0.982 1285 0.508 1286 0.709 1287 0.731 1288 0.677 1289 0.387 1290 1.053 1291 1.091 1292 0.407 1293 0.856 1294 0.937 1295 0.391 1296 0.875 1297 1.069 1298 1.265 1299 0.647 1300 1.191 1301 0.865 1302 1.305 1303 0.935 1304 0.9 1305 0.968 1306 0.963 1307 0.55 1308 0.495 1309 1.452 1310 0.944 1311 0.724 1312 0.996 1313 1.042 1314 1.342 1315 0.902 1316 0.782 1317 1.188 1318 0.955 1319 0.96 1320 1.489 1321 1.308 1322 1.208 1323 0.927 1324 1.247 1325 1.111 1326 1.146 1327 1.283 1328 1.256 1329 1.34 1330 1.556 1331 1.265 1332 1.371 1333 1.911 1334 0.92 1335 1.328 1336 0.896 1337 1.411 1338 0.819 1339 1.518 1340 1.007 1341 1.33 1342 1.015 1343 0.889 1344 0.98 1345 1.052 1346 1.011 1347 1.025 1348 0.871 1349 0.869 1350 0.666 1351 0.987 1352 0.856 1353 0.863 1354 0.898 1355 0.715 1356 1.192 1357 1.305 1358 0.85 1359 0.878 1360 0.323 1361 0.488 1362 0.488 1363 0.597 1364 0.746 1365 1.22 1366 1.069 1367 1.327 1368 1.083 1369 0.606 1370 0.892 1371 1.06 1372 0.68 1373 0.803 1374 1.028 1375 0.563 1376 0.79 1377 0.651 1378 0.875 1379 0.468 1380 0.84 1381 0.593 1382 0.425 1383 0.886 1384 1.33 1385 1.181 1386 1.561 1387 1.862 1388 0.888 1389 0.909 1390 1.097 1391 1.374 1392 1.113 1393 0.999 1394 1.59 1395 1.435 1396 1.126 1397 0.556 1398 0.749 1399 0.478 1400 0.659 1401 0.9 1402 1.018 1403 0.846 1404 0.582 1405 1.119 1406 1.45 1407 0.708 1408 0.757 1409 1.229 1410 1.047 1411 1.159 1412 0.889 1413 0.665 1414 1.232 1415 1.56 1416 1.176 1417 1.551 1418 1.505 1419 1.039 1420 1.15 1421 1.504 1422 1.914 1423 1.278 1424 1.234 1425 1.073 1426 0.931 1427 0.965 1428 1.575 1429 0.865 1430 1.042 1431 1.081 1432 1.129 1433 0.819 1434 0.925 1435 1.147 1436 0.902 1437 0.779 1438 0.764 1439 0.395 1440 1.15 1441 0.881 1442 0.431 1443 1.021 1444 0.555 1445 0.926 1446 0.57 1447 0.768 1448 0.342 1449 0.89 1450 0.622 1451 0.99 1452 1.029 1453 0.828 1454 1.133 1455 0.803 1456 1.055 1457 0.988 1458 1 1459 1.207 1460 0.931 1461 0.741 1462 0.648 1463 1.222 1464 0.796 1465 1.176 1466 0.666 1467 0.821 1468 0.732 1469 1.023 1470 1.203 1471 0.856 1472 0.749 1473 1.252 1474 0.461 1475 0.232 1476 1.018 1477 1.165 1478 1.407 1479 1.031 1480 0.837 1481 1.516 1482 0.969 1483 0.645 1484 1.413 1485 1.604 1486 1.372 1487 1.513 1488 0.992 1489 0.984 1490 1.435 1491 1.077 1492 0.163 1493 1.021 1494 0.967 1495 0.755 1496 0.33 1497 0.315 1498 0.628 1499 0.697 1500 0.606 1501 0.754 1502 0.953 1503 0.771 1504 0.704 1505 0.262 1506 0.514 1507 1.107 1508 1.104 1509 0.797 1510 0.587 1511 0.926 1512 0.58 1513 0.576 1514 1.165 1515 0.789 1516 1.269 1517 0.932 1518 0.113 1519 1.3 1520 1.333 1521 1.035 1522 0.236 1523 0.312 1524 0.976 1525 0.804 1526 1.038 1527 1.224 1528 0.322 1529 0.907 1530 0.89 1531 1.152 1532 0.836 1533 0.821 1534 0.639 1535 1.176 1536 0.963 1537 0.935 1538 0.499 1539 0.779 1540 0.683 1541 0.671 1542 0.37 1543 0.88 1544 0.877 1545 0.507 1546 0.983 1547 0.528 1548 0.748 1549 1.087 1550 1.044 1551 1.175 1552 0.645 1553 1.26 1554 1.119 1555 0.938 1556 1.459 1557 1.293 1558 0.633 1559 0.792 1560 0.667 1561 1.109 1562 1.193 1563 0.78 1564 0.926 1565 0.72 1566 0.958 1567 1.048 1568 1.102 1569 1.193 1570 1.14 1571 1.338 1572 1.516 1573 0.757 1574 1.141 1575 0.804 1576 0.719 1577 0.778 1578 0.947 1579 0.365 1580 0.179 1581 0.762 1582 0.658 1583 0.83 1584 0.599 1585 0.369 1586 0.73 1587 0.964 1588 0.984 1589 1.07 1590 -0.015 1591 1.123 1592 0.686 1593 0.693 1594 0.804 1595 0.564 1596 0.91 1597 1.049 1598 0.453 1599 0.871 1600 0.007 1601 0.732 1602 0.906 1603 0.936 1604 0.821 1605 0.936 1606 0.5 1607 0.578 1608 1.137 1609 0.959 1610 0.294 1611 1.073 1612 0.949 1613 1.144 1614 0.784 1615 1.199 1616 1.6 1617 1.389 1618 1.087 1619 1.299 1620 1.167 1621 1.573 1622 0.936 1623 1.027 1624 0.419 1625 1.486 1626 0.954 1627 0.815 1628 1.005 1629 1.211 1630 0.656 1631 0.251 1632 -0.014 1633 1.035 1634 1.256 1635 0.898 1636 0.704 1637 0.11 1638 0.318 1639 0.728 1640 0.775 1641 0.63 1642 0.115 1643 0.912 1644 0.716 1645 0.653 1646 0.963 1647 0.874 1648 1.049 1649 0.954 1650 0.946 1651 1.157 1652 0.477 1653 0.65 1654 0.925 1655 0.68 1656 0.664 1657 0.574 1658 0.533 1659 0.839 1660 0.682 1661 0.954 1662 0.64 1663 0.792 1664 0.93 1665 0.674 1666 1.049 1667 1.164 1668 0.655 1669 0.786 1670 0.741 1671 1.019 1672 0.796 1673 1.095 1674 1.127 1675 1.027 1676 1.362 1677 0.905 1678 1.447 1679 1.303 1680 1.397 1681 0.638 1682 1.08 1683 1.116 1684 0.675 1685 0.86 1686 0.574 1687 0.916 1688 1.218 1689 0.738 1690 0.436 1691 0.851 1692 0.784 1693 0.463 1694 1.007 1695 0.641 1696 0.779 1697 0.877 1698 1.627 1699 1.064 1700 1.198 1701 1.897 1702 1.518 1703 1.017 1704 0.716 1705 1.195 1706 1.159 1707 0.813 1708 0.314 1709 0.651 1710 0.745 1711 0.906 1712 1.038 1713 0.574 1714 1.105 1715 0.678 1716 0.646 1717 0.45 1718 0.698 1719 0.911 1720 1.149 1721 1.165 1722 0.906 1723 0.935 1724 1.305 1725 1.495 1726 1.814 1727 1.277 1728 1.279 1729 0.201 1730 0.845 1731 1.455 1732 0.989 1733 0.775 1734 1.054 1735 0.376 1736 0.926 1737 0.487 1738 0.868 1739 0.911 1740 0.657 1741 1.182 1742 0.586 1743 0.865 1744 0.56 1745 0.311 1746 1.279 1747 1.455 1748 1.066 1749 0.964 1750 0.948 1751 1.012 1752 0.753 1753 1.048 1754 1.183 1755 0.481 1756 0.881 1757 1.215 1758 1.247 1759 1.338 1760 1.25 1761 1.764 1762 1.282 1763 1.105 1764 1.054 1765 0.776 1766 1.748 1767 1.478 1768 0.984 1769 1.333 1770 0.881 1771 1.406 1772 0.571 1773 0.96 1774 0.732 1775 0.959 1776 1.177 1777 0.73 1778 0.856 1779 0.976 1780 0.549 1781 0.801 1782 0.24 1783 1.046 1784 0.957 1785 1.277 1786 0.643 1787 1.3 1788 0.447 1789 0.816 1790 1.162 1791 1.051 1792 1.086 1793 0.759 1794 1.059 1795 0.708 1796 0.97 1797 1.082 1798 0.377 1799 1.007 1800 0.97 1801 0.622 1802 1.191 1803 0.91 1804 0.943 1805 0.643 1806 0.717 1807 1.34 1808 0.733 1809 1.022 1810 1.138 1811 1.323 1812 1.12 1813 0.678 1814 1.149 1815 1.26 1816 0.978 1817 0.987 1818 0.539 1819 0.963 1820 1.305 1821 1.23 1822 1.224 1823 1.215 1824 0.472 1825 0.822 1826 0.96 1827 1.379 1828 1.103 1829 1.482 1830 1.694 1831 1.428 1832 0.329 1833 1.459 1834 1.366 1835 1.307 1836 0.666 1837 1.143 1838 1.512 1839 1.783 1840 1.577 1841 1.584 1842 0.606 1843 1.153 1844 1.045 1845 0.256 1846 1.024 1847 0.855 1848 1.334 1849 1.406 1850 0.958 1851 1.024 1852 1.053 1853 1.28 1854 1.003 1855 1.042 1856 0.546 1857 0.771 1858 1.122 1859 0.966 1860 1.29 1861 0.866 1862 0.989 1863 0.842 1864 1.315 1865 0.797 1866 1.441 1867 1.353 1868 1.774 1869 1.92 1870 1.302 1871 1.025 1872 0.807 1873 1.242 1874 1.653 1875 1.051 1876 0.927 1877 0.957 1878 0.948 1879 0.168 1880 1.179 1881 1.167 1882 1.035 1883 1.13 1884 1.071 1885 1.313 1886 1.216 1887 1.278 1888 1.062 1889 1.234 1890 1.102 1891 1.41 1892 1.114 1893 0.585 1894 0.604 1895 1.111 1896 1 1897 1.252 1898 1.499 1899 0.583 1900 1.083 1901 0.973 1902 0.89 1903 1.538 1904 1.2 1905 1.322 1906 1.204 1907 1.59 1908 1.462 1909 1.313 1910 1.314 1911 1.617 1912 1.452 1913 1.665 1914 1.72 1915 1.474 1916 1.671 1917 1.547 1918 1.155 1919 1.523 1920 1.972 1921 1.902 1922 1.211 1923 1.636 1924 1.436 1925 1.765 1926 1.33 1927 1.276 1928 1.617 1929 1.043 1930 1.268 1931 1.162 1932 1.234 1933 0.839 1934 -0.013 1935 1.252 1936 0.967 1937 1.339 1938 1.11 1939 1.274 1940 0.907 1941 1.561 1942 1.323 1943 1.021 1944 1.138 1945 0.922 1946 1.121 1947 1.081 1948 1.089 1949 1.037 1950 0.924 1951 1.049 1952 0.872 1953 0.499 1954 0.86 1955 1.146 1956 0.914 1957 0.854 1958 0.829 1959 0.94 1960 1.039 1961 0.928 1962 1.189 1963 1.012 1964 1.083 1965 1.078 1966 0.97 1967 1.595 1968 1.406 1969 1.394 1970 1.419 1971 1.205 1972 1.012 1973 1.449 1974 0.505 1975 1.139 1976 1.109 1977 0.998 1978 1.089 1979 1.278 1980 1.123 1981 1.688 1982 1.647 1983 1.183 1984 1.556