# australia_ausl009 - Beyond Burn - 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/3823 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: australia_ausl009 - Beyond Burn - 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: Beyond Burn # Location: # Country: Australia # Northernmost_Latitude: -42.65 # Southernmost_Latitude: -42.65 # Easternmost_Longitude: 146.57 # Westernmost_Longitude: 146.57 # Elevation: 1200 m #-------------------- # Data_Collection # Collection_Name: australia_ausl009B # Earliest_Year: 1028 # Most_Recent_Year: 1975 # Time_Unit: y_ad # Core_Length: # Notes: {"database":{"database1":"LMR","database2":"Breits"}} {"climateInterpretation":{"basis":"", "climateVariable":"T", "climateVariableDetail":"air", "interpDirection":"positive", "seasonality":"[-12, 1, 2]"}}{"VSLite_parameters":{"T1":"5.68665366115","T2":"18.4454829277","M1":"0.022622765746","M2":"0.462063498345"}} #-------------------- # Species # Species_Name: pencil pine # Species_Code: ATCU #-------------------- # 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 1028 0.761 1029 0.79 1030 0.96 1031 1.031 1032 0.918 1033 0.904 1034 0.848 1035 0.749 1036 0.792 1037 0.948 1038 0.949 1039 1.049 1040 0.95 1041 0.736 1042 0.437 1043 0.794 1044 0.594 1045 0.58 1046 0.781 1047 0.724 1048 0.781 1049 0.696 1050 0.724 1051 0.825 1052 0.825 1053 0.897 1054 0.758 1055 0.935 1056 0.866 1057 0.808 1058 0.667 1059 0.901 1060 1.139 1061 1.215 1062 1.096 1063 0.826 1064 0.816 1065 0.783 1066 0.856 1067 0.839 1068 0.846 1069 0.753 1070 0.853 1071 0.726 1072 0.775 1073 1.222 1074 1.181 1075 0.852 1076 1.113 1077 0.978 1078 0.92 1079 1.051 1080 0.966 1081 0.76 1082 0.833 1083 1.031 1084 1.016 1085 1.041 1086 0.793 1087 0.987 1088 0.847 1089 1.136 1090 0.984 1091 0.927 1092 1.027 1093 0.889 1094 0.881 1095 1.067 1096 0.851 1097 0.971 1098 0.901 1099 1.021 1100 1.048 1101 1.142 1102 1.28 1103 1.048 1104 0.903 1105 1.163 1106 1.156 1107 1.063 1108 1.182 1109 0.894 1110 1.156 1111 0.974 1112 0.88 1113 0.956 1114 0.911 1115 0.844 1116 1.137 1117 0.872 1118 1 1119 1.057 1120 1.178 1121 1.152 1122 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1214 1.024 1215 0.947 1216 0.97 1217 1.3 1218 1.073 1219 1.142 1220 1.059 1221 1.116 1222 0.915 1223 0.77 1224 1.129 1225 1.129 1226 0.905 1227 1.043 1228 1.118 1229 1.133 1230 1.048 1231 1.001 1232 1.082 1233 0.813 1234 0.835 1235 1.139 1236 1.13 1237 1.073 1238 1.149 1239 1.149 1240 1.311 1241 0.896 1242 1.017 1243 0.96 1244 1.011 1245 0.766 1246 0.732 1247 0.929 1248 0.884 1249 0.905 1250 1.135 1251 1.077 1252 0.845 1253 0.797 1254 0.565 1255 0.768 1256 0.913 1257 1.002 1258 0.997 1259 0.913 1260 0.924 1261 0.92 1262 0.982 1263 1.11 1264 1.002 1265 0.876 1266 0.828 1267 0.862 1268 0.922 1269 0.967 1270 1.103 1271 1 1272 1.268 1273 1.29 1274 1.402 1275 1.295 1276 0.802 1277 0.593 1278 0.759 1279 0.806 1280 0.618 1281 0.604 1282 0.71 1283 0.858 1284 0.926 1285 1.002 1286 0.931 1287 0.843 1288 0.87 1289 0.973 1290 1.089 1291 1.112 1292 1.072 1293 1.248 1294 1.37 1295 1.307 1296 1.177 1297 1.235 1298 1.239 1299 1.262 1300 1.346 1301 1.159 1302 1.223 1303 1.409 1304 1.145 1305 1.276 1306 1.522 1307 1.244 1308 1.422 1309 1.27 1310 1.19 1311 1.342 1312 1.289 1313 1.425 1314 1.251 1315 1.314 1316 1.374 1317 1.191 1318 1.042 1319 1.026 1320 1.024 1321 1.056 1322 1.236 1323 1.043 1324 1.168 1325 1.023 1326 0.733 1327 0.743 1328 0.845 1329 0.893 1330 1.006 1331 1.075 1332 1.271 1333 1.204 1334 1.101 1335 1.405 1336 1.009 1337 1.028 1338 1.151 1339 1.229 1340 1.044 1341 1.004 1342 1.11 1343 1.173 1344 0.727 1345 0.926 1346 0.815 1347 0.957 1348 0.904 1349 1.044 1350 1.096 1351 1.062 1352 1.198 1353 1.33 1354 1.389 1355 1.331 1356 1.243 1357 1.209 1358 1.224 1359 1.113 1360 1.054 1361 1.023 1362 0.992 1363 1.102 1364 1.062 1365 0.989 1366 0.978 1367 1.11 1368 1.075 1369 1.076 1370 1.065 1371 1.135 1372 1.2 1373 1.176 1374 1.193 1375 0.769 1376 0.804 1377 0.937 1378 0.936 1379 0.838 1380 0.822 1381 0.794 1382 0.959 1383 0.801 1384 0.911 1385 0.865 1386 0.98 1387 0.979 1388 1.106 1389 0.99 1390 0.931 1391 0.861 1392 0.95 1393 0.913 1394 1.154 1395 1.182 1396 0.863 1397 1.051 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1490 1.02 1491 0.784 1492 0.916 1493 1.122 1494 0.881 1495 0.954 1496 0.965 1497 0.944 1498 1.071 1499 0.788 1500 1.021 1501 0.779 1502 0.972 1503 1.05 1504 1.017 1505 0.737 1506 0.81 1507 0.907 1508 1.057 1509 0.892 1510 0.913 1511 0.996 1512 0.692 1513 0.817 1514 1.078 1515 0.857 1516 0.874 1517 0.684 1518 0.655 1519 0.838 1520 0.771 1521 0.844 1522 0.702 1523 0.806 1524 0.877 1525 0.694 1526 0.779 1527 0.787 1528 0.861 1529 0.919 1530 0.944 1531 0.9 1532 0.965 1533 0.876 1534 0.919 1535 0.936 1536 1.091 1537 0.882 1538 0.966 1539 0.921 1540 0.869 1541 0.932 1542 0.827 1543 0.771 1544 0.853 1545 0.616 1546 0.963 1547 0.728 1548 0.812 1549 0.876 1550 0.871 1551 1.116 1552 1.048 1553 1.007 1554 0.774 1555 0.938 1556 0.872 1557 0.94 1558 0.918 1559 0.861 1560 0.931 1561 0.642 1562 0.609 1563 0.753 1564 0.691 1565 0.893 1566 0.714 1567 0.694 1568 0.677 1569 0.904 1570 0.966 1571 1.021 1572 0.871 1573 0.943 1574 0.79 1575 0.956 1576 0.837 1577 0.802 1578 0.956 1579 1.029 1580 1.09 1581 1.027 1582 1.054 1583 1.108 1584 0.931 1585 0.945 1586 1.062 1587 1.131 1588 0.957 1589 0.965 1590 0.917 1591 1.121 1592 1.117 1593 1.204 1594 1.073 1595 1.086 1596 0.877 1597 1.269 1598 1.043 1599 1.071 1600 0.982 1601 0.992 1602 0.96 1603 0.889 1604 0.855 1605 0.835 1606 0.801 1607 0.741 1608 1.133 1609 1.039 1610 1.256 1611 1.213 1612 1.071 1613 1.319 1614 0.847 1615 1.118 1616 0.829 1617 1.129 1618 1.201 1619 1.088 1620 1.322 1621 1.338 1622 1.172 1623 0.992 1624 1.157 1625 1.169 1626 0.802 1627 1.164 1628 1.086 1629 1.27 1630 0.903 1631 0.99 1632 1.158 1633 1.045 1634 1.206 1635 1.168 1636 1.303 1637 1.164 1638 1.046 1639 1.23 1640 1.285 1641 1.07 1642 1.006 1643 1.131 1644 1.044 1645 0.97 1646 0.968 1647 1.031 1648 1.119 1649 1.149 1650 0.927 1651 1.203 1652 0.985 1653 1.1 1654 1.311 1655 1.387 1656 1.128 1657 1.197 1658 1.055 1659 1.061 1660 1.097 1661 1.11 1662 1.192 1663 0.825 1664 0.849 1665 1.021 1666 1.094 1667 1.1 1668 1.252 1669 1.09 1670 1.291 1671 1.205 1672 1.399 1673 1.151 1674 1.256 1675 1.214 1676 1.272 1677 1.184 1678 0.902 1679 1.017 1680 1.16 1681 1.183 1682 1.099 1683 1.06 1684 1.002 1685 1.082 1686 0.906 1687 0.973 1688 1.09 1689 1.291 1690 1.244 1691 0.958 1692 1.161 1693 1.085 1694 1.027 1695 1.195 1696 0.817 1697 1.066 1698 1.141 1699 1.223 1700 0.76 1701 1.099 1702 1.135 1703 1.319 1704 1.14 1705 0.868 1706 1.161 1707 1.129 1708 1.037 1709 0.961 1710 1.186 1711 1.044 1712 1.005 1713 0.945 1714 1.155 1715 1.179 1716 1.214 1717 0.967 1718 0.946 1719 0.888 1720 1.05 1721 0.932 1722 0.925 1723 0.947 1724 0.661 1725 0.741 1726 0.958 1727 0.843 1728 0.62 1729 0.934 1730 0.961 1731 1.008 1732 0.874 1733 0.836 1734 0.776 1735 0.855 1736 0.821 1737 0.989 1738 0.78 1739 0.987 1740 1.074 1741 1.109 1742 1.146 1743 1.037 1744 1.095 1745 0.856 1746 0.941 1747 0.989 1748 0.996 1749 0.713 1750 0.768 1751 0.937 1752 0.994 1753 1.113 1754 1.078 1755 1.092 1756 1.18 1757 1.039 1758 1.219 1759 1.051 1760 0.969 1761 0.971 1762 0.858 1763 0.969 1764 0.958 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1948 1.004 1949 0.852 1950 1.184 1951 0.993 1952 1.041 1953 1.315 1954 1.057 1955 1.242 1956 0.986 1957 1.141 1958 1.273 1959 1.048 1960 1.246 1961 1.173 1962 1.288 1963 1.194 1964 1.088 1965 1.171 1966 1.131 1967 1.211 1968 1.082 1969 0.972 1970 1.302 1971 1.239 1972 1.629 1973 1.623 1974 1.14 1975 1.26