ÃÂ¯ÃÂ»ÃÂ¿# 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 VaganovÃÂ¢ÃÂÃÂ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 4ÃÂ¢ÃÂÃÂ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 modelÃÂ¢ÃÂÃÂ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	1.064
1123	1.167
1124	1.255
1125	1.074
1126	0.932
1127	0.933
1128	0.969
1129	1.123
1130	1.015
1131	1.149
1132	1.344
1133	1.189
1134	1.013
1135	1.339
1136	1.198
1137	1.199
1138	1.208
1139	1.251
1140	1.033
1141	1.086
1142	1.344
1143	0.933
1144	0.831
1145	0.938
1146	0.975
1147	0.64
1148	0.978
1149	0.796
1150	0.488
1151	0.648
1152	0.858
1153	1.026
1154	0.724
1155	0.579
1156	0.719
1157	1.05
1158	0.448
1159	0.588
1160	0.771
1161	0.77
1162	0.858
1163	0.901
1164	0.97
1165	0.84
1166	0.807
1167	1.005
1168	0.827
1169	0.867
1170	1.049
1171	0.919
1172	0.903
1173	0.947
1174	0.768
1175	0.734
1176	0.916
1177	0.954
1178	0.962
1179	1.161
1180	0.952
1181	0.819
1182	1.178
1183	1.227
1184	0.957
1185	1.13
1186	1.003
1187	1.049
1188	0.892
1189	1.065
1190	0.941
1191	1.108
1192	1.297
1193	0.908
1194	1.178
1195	1.097
1196	0.923
1197	0.865
1198	0.745
1199	0.684
1200	0.671
1201	0.938
1202	1.115
1203	0.66
1204	0.925
1205	1.136
1206	1.18
1207	1.088
1208	1.237
1209	0.997
1210	1.067
1211	1.141
1212	1.141
1213	1.069
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
1398	0.815
1399	0.896
1400	0.88
1401	1.048
1402	0.958
1403	0.96
1404	0.955
1405	0.639
1406	0.72
1407	0.923
1408	1.02
1409	0.971
1410	0.879
1411	0.724
1412	0.865
1413	0.921
1414	0.991
1415	0.907
1416	0.996
1417	0.927
1418	0.908
1419	0.916
1420	1.064
1421	1.116
1422	0.97
1423	1.015
1424	1.112
1425	0.944
1426	1.045
1427	0.917
1428	0.863
1429	1.074
1430	0.848
1431	0.898
1432	1.048
1433	0.945
1434	1.329
1435	1.381
1436	0.935
1437	0.96
1438	0.928
1439	0.81
1440	1.044
1441	0.832
1442	0.817
1443	1.059
1444	1.021
1445	1.021
1446	0.926
1447	0.925
1448	0.768
1449	0.786
1450	0.863
1451	0.973
1452	1.011
1453	1.009
1454	0.93
1455	0.956
1456	0.965
1457	0.785
1458	0.9
1459	1.062
1460	1.122
1461	0.934
1462	1.01
1463	1.025
1464	0.944
1465	0.956
1466	1.09
1467	0.961
1468	1.012
1469	1.048
1470	0.898
1471	1.115
1472	1.016
1473	1.11
1474	0.906
1475	0.869
1476	0.859
1477	1.225
1478	1.079
1479	1.055
1480	1.115
1481	1.085
1482	1.049
1483	0.913
1484	0.943
1485	1.032
1486	0.949
1487	1.047
1488	1.001
1489	0.922
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
1765	1.096
1766	1.198
1767	1.196
1768	1.13
1769	1.191
1770	1.454
1771	1.193
1772	1.327
1773	0.953
1774	0.988
1775	1.074
1776	0.908
1777	0.479
1778	0.596
1779	0.72
1780	0.705
1781	0.656
1782	0.658
1783	0.591
1784	0.577
1785	0.625
1786	0.603
1787	0.682
1788	0.808
1789	0.899
1790	0.569
1791	0.736
1792	0.832
1793	0.789
1794	0.746
1795	0.773
1796	0.672
1797	0.695
1798	0.913
1799	0.842
1800	1.078
1801	0.865
1802	1.05
1803	0.976
1804	1.061
1805	1.015
1806	0.994
1807	1.149
1808	0.766
1809	0.826
1810	1.109
1811	1.071
1812	0.975
1813	0.951
1814	0.571
1815	0.826
1816	0.922
1817	0.871
1818	0.948
1819	0.861
1820	0.839
1821	1.044
1822	0.899
1823	0.85
1824	1.027
1825	1.165
1826	0.915
1827	1.162
1828	0.878
1829	1.257
1830	1.036
1831	1.203
1832	0.997
1833	1.097
1834	1.366
1835	1.184
1836	1.309
1837	1.084
1838	1.023
1839	1.048
1840	1.116
1841	1.127
1842	1.062
1843	1.009
1844	0.762
1845	0.923
1846	0.93
1847	1.092
1848	0.926
1849	0.854
1850	0.983
1851	1.062
1852	0.888
1853	0.816
1854	1.047
1855	1.106
1856	1.068
1857	0.982
1858	0.973
1859	1.142
1860	1.304
1861	1.273
1862	1.558
1863	1.21
1864	1.012
1865	1.235
1866	1.206
1867	1.2
1868	1.004
1869	1.044
1870	1.262
1871	1.319
1872	1.056
1873	1.281
1874	1.275
1875	1.325
1876	0.976
1877	1.337
1878	1.157
1879	0.991
1880	0.82
1881	1.081
1882	1.221
1883	1.035
1884	1.084
1885	1.135
1886	1.26
1887	0.904
1888	1.467
1889	1.149
1890	0.625
1891	0.87
1892	0.781
1893	0.993
1894	0.924
1895	1.041
1896	0.964
1897	0.873
1898	0.721
1899	0.817
1900	0.948
1901	0.728
1902	0.67
1903	0.803
1904	0.726
1905	0.784
1906	0.831
1907	0.888
1908	0.384
1909	0.586
1910	0.586
1911	0.422
1912	0.468
1913	0.598
1914	0.609
1915	0.654
1916	0.614
1917	0.653
1918	0.777
1919	0.863
1920	0.866
1921	0.754
1922	0.645
1923	0.739
1924	0.739
1925	0.721
1926	0.805
1927	0.832
1928	0.934
1929	0.971
1930	0.951
1931	0.955
1932	0.915
1933	0.895
1934	0.819
1935	1.034
1936	0.887
1937	0.876
1938	1.039
1939	0.982
1940	1.02
1941	1.09
1942	1.132
1943	0.957
1944	0.966
1945	0.947
1946	1.037
1947	1.003
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