ÃÂ¯ÃÂ»ÃÂ¿# southamerica_chil002 - El Asiento - 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/3830
#
# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: southamerica_chil002 - El Asiento - 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: El Asiento
#	Location:
#	Country: Chile
#	Northernmost_Latitude: -31.97
#	Southernmost_Latitude: -31.97
#	Easternmost_Longitude: -71.03
#	Westernmost_Longitude: -71.03
#	Elevation: 1700 m
#--------------------
# Data_Collection
#	Collection_Name: southamerica_chil002B
#	Earliest_Year: 1011
#	Most_Recent_Year: 1972
#	Time_Unit: y_ad
#	Core_Length:
#	Notes: {"database":{"database1":"LMR","database2":"Breits"}} {"climateInterpretation":{"basis":"", "climateVariable":"M", "climateVariableDetail":"air", "interpDirection":"positive", "seasonality":"[-12, 1, 2]"}}{"VSLite_parameters":{"T1":"4.63478850371","T2":"16.546868578","M1":"0.022909092992","M2":"0.439090334237"}}
#--------------------
# Species
#	Species_Name: Chilean cedar
#	Species_Code: AUCH
#--------------------
# 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
1011	1.211
1012	1.167
1013	1.333
1014	1.621
1015	1.486
1016	1.382
1017	1.398
1018	1.475
1019	1.188
1020	0.9
1021	0.976
1022	0.916
1023	0.582
1024	0.689
1025	0.765
1026	0.842
1027	0.705
1028	1.027
1029	0.675
1030	1.704
1031	1.275
1032	1.061
1033	1.184
1034	1.293
1035	1.124
1036	1.388
1037	0.832
1038	1.251
1039	0.988
1040	0.942
1041	0.741
1042	0.85
1043	0.898
1044	0.805
1045	0.634
1046	0.572
1047	0.65
1048	0.713
1049	0.525
1050	0.635
1051	0.589
1052	0.683
1053	0.746
1054	0.841
1055	0.857
1056	0.763
1057	0.827
1058	0.827
1059	0.97
1060	1.145
1061	1.701
1062	1.21
1063	1.1
1064	1.26
1065	1.038
1066	1.023
1067	0.912
1068	0.96
1069	0.913
1070	0.882
1071	0.834
1072	0.979
1073	0.948
1074	1.125
1075	0.788
1076	1.046
1077	1.434
1078	1.226
1079	0.984
1080	0.774
1081	0.904
1082	0.856
1083	1.003
1084	0.89
1085	1.037
1086	0.989
1087	0.957
1088	0.794
1089	0.713
1090	0.73
1091	0.796
1092	0.796
1093	0.731
1094	0.551
1095	0.534
1096	0.848
1097	0.964
1098	1.196
1099	1.097
1100	0.999
1101	1
1102	0.984
1103	0.818
1104	0.869
1105	0.736
1106	0.87
1107	0.854
1108	1.205
1109	1.189
1110	1.241
1111	1.258
1112	0.873
1113	0.756
1114	0.723
1115	0.69
1116	1.061
1117	0.944
1118	1.367
1119	1.284
1120	0.929
1121	1.031
1122	1.117
1123	1.084
1124	0.932
1125	1.001
1126	1.291
1127	1.105
1128	1.208
1129	0.986
1130	1.039
1131	1.005
1132	1.212
1133	1.351
1134	1.369
1135	1.06
1136	1.164
1137	1.044
1138	0.941
1139	0.977
1140	1.081
1141	1.013
1142	1.239
1143	1.119
1144	1.085
1145	1.173
1146	0.999
1147	1.018
1148	1.106
1149	1.054
1150	0.686
1151	0.704
1152	0.916
1153	1.145
1154	0.917
1155	0.918
1156	0.866
1157	0.76
1158	0.637
1159	0.46
1160	0.673
1161	0.727
1162	0.834
1163	0.87
1164	0.871
1165	0.907
1166	0.997
1167	1.159
1168	0.963
1169	0.964
1170	0.91
1171	1.505
1172	1.272
1173	1.363
1174	1.021
1175	0.914
1176	0.933
1177	1.151
1178	1.206
1179	1.28
1180	0.917
1181	0.845
1182	1.028
1183	0.938
1184	1.012
1185	1.159
1186	1.086
1187	1.198
1188	1.162
1189	0.776
1190	1.053
1191	1.11
1192	1.332
1193	1.426
1194	1.038
1195	1.243
1196	1.04
1197	1.32
1198	1.209
1199	1.154
1200	1.006
1201	1.437
1202	1.513
1203	1.196
1204	1.272
1205	1.217
1206	0.861
1207	0.805
1208	0.711
1209	0.75
1210	0.75
1211	1.151
1212	1.048
1213	0.949
1214	0.547
1215	0.868
1216	0.854
1217	0.866
1218	0.906
1219	1.181
1220	1.199
1221	0.873
1222	1.364
1223	0.981
1224	1.023
1225	1.005
1226	1.005
1227	1.028
1228	1.167
1229	1.362
1230	1.358
1231	1.387
1232	1.223
1233	1.167
1234	1.115
1235	0.983
1236	0.981
1237	0.969
1238	1.1
1239	0.951
1240	0.947
1241	1.092
1242	1.014
1243	1.014
1244	0.87
1245	1.021
1246	1.02
1247	0.952
1248	0.98
1249	1.036
1250	1.098
1251	1.089
1252	1.16
1253	0.943
1254	1.088
1255	1.13
1256	0.772
1257	0.974
1258	1.178
1259	1.108
1260	1.22
1261	1.269
1262	1.053
1263	1.138
1264	0.989
1265	0.868
1266	0.913
1267	1.052
1268	1.048
1269	1.121
1270	1.192
1271	0.884
1272	0.905
1273	0.987
1274	1.09
1275	1.513
1276	0.913
1277	1.38
1278	1.116
1279	0.974
1280	0.874
1281	1.363
1282	1.075
1283	1.05
1284	0.868
1285	0.92
1286	1.035
1287	0.88
1288	0.889
1289	0.952
1290	0.84
1291	0.86
1292	1.054
1293	1.065
1294	1.109
1295	1.16
1296	1.186
1297	1.11
1298	1.083
1299	0.896
1300	0.899
1301	0.938
1302	0.703
1303	0.689
1304	0.258
1305	0.566
1306	0.933
1307	1.108
1308	1.245
1309	1.018
1310	0.799
1311	0.875
1312	0.914
1313	0.843
1314	0.851
1315	0.884
1316	0.87
1317	0.953
1318	0.88
1319	0.98
1320	0.901
1321	1.082
1322	0.938
1323	1.009
1324	0.746
1325	0.629
1326	0.472
1327	0.868
1328	0.846
1329	0.978
1330	1.11
1331	1.142
1332	1.197
1333	1.112
1334	1.213
1335	0.961
1336	0.852
1337	0.829
1338	0.799
1339	0.645
1340	0.863
1341	0.667
1342	0.682
1343	0.841
1344	0.15
1345	0.734
1346	0.857
1347	1.002
1348	0.99
1349	1.054
1350	0.995
1351	1.121
1352	1.128
1353	0.905
1354	1.004
1355	1.204
1356	1.218
1357	1.371
1358	1.233
1359	1.024
1360	1.076
1361	1.087
1362	1.01
1363	0.872
1364	0.963
1365	0.945
1366	1.125
1367	1.046
1368	1.071
1369	0.982
1370	0.865
1371	0.81
1372	0.88
1373	1.076
1374	1.309
1375	0.972
1376	1.052
1377	0.956
1378	0.77
1379	0.845
1380	0.907
1381	0.352
1382	0.515
1383	0.906
1384	0.82
1385	0.712
1386	0.791
1387	0.997
1388	0.966
1389	0.682
1390	0.796
1391	0.906
1392	0.879
1393	0.894
1394	0.908
1395	0.965
1396	0.818
1397	1.224
1398	1.276
1399	0.909
1400	0.984
1401	1.165
1402	0.768
1403	0.773
1404	0.97
1405	0.745
1406	0.571
1407	0.714
1408	0.749
1409	0.454
1410	0.678
1411	0.749
1412	0.901
1413	1.14
1414	0.989
1415	0.929
1416	0.909
1417	0.839
1418	0.857
1419	0.678
1420	0.684
1421	0.903
1422	0.815
1423	0.541
1424	0.715
1425	0.927
1426	0.888
1427	0.964
1428	0.863
1429	0.609
1430	0.639
1431	0.872
1432	0.728
1433	0.665
1434	0.819
1435	0.723
1436	1.033
1437	0.86
1438	0.667
1439	0.747
1440	0.294
1441	0.747
1442	0.913
1443	0.874
1444	0.78
1445	0.866
1446	1.051
1447	1.314
1448	1.211
1449	1.363
1450	1.275
1451	1.383
1452	1.101
1453	1.286
1454	1.079
1455	0.924
1456	0.887
1457	0.977
1458	0.341
1459	0.507
1460	0.715
1461	0.957
1462	1.149
1463	1.028
1464	1.126
1465	1.235
1466	1.366
1467	1.302
1468	2.089
1469	1.72
1470	1.532
1471	1.679
1472	1.382
1473	1.153
1474	1.19
1475	1.224
1476	1.165
1477	1.136
1478	0.974
1479	1.165
1480	1.045
1481	0.766
1482	0.878
1483	0.905
1484	1.045
1485	0.997
1486	1.345
1487	1.342
1488	1.271
1489	1.414
1490	1.423
1491	1.151
1492	1.285
1493	1.238
1494	1.388
1495	1.222
1496	1.247
1497	0.653
1498	0.939
1499	0.835
1500	0.854
1501	0.97
1502	1.111
1503	1.098
1504	1.226
1505	1.499
1506	1.06
1507	0.946
1508	1.066
1509	1.373
1510	1.211
1511	1.373
1512	0.875
1513	0.913
1514	0.91
1515	1.091
1516	0.896
1517	1.26
1518	1.143
1519	1.019
1520	1.315
1521	1.114
1522	0.599
1523	1.193
1524	1.037
1525	1.175
1526	1.324
1527	0.982
1528	1.268
1529	1.396
1530	1.214
1531	1.232
1532	0.887
1533	0.992
1534	0.797
1535	1.047
1536	1.017
1537	1.113
1538	1.116
1539	1.292
1540	0.166
1541	0.813
1542	0.989
1543	0.902
1544	1.009
1545	1.184
1546	1.075
1547	0.107
1548	0.478
1549	0.749
1550	0.804
1551	0.71
1552	0.976
1553	0.979
1554	0.927
1555	0.975
1556	1.131
1557	0.904
1558	0.97
1559	1.014
1560	0.81
1561	1.201
1562	1.182
1563	1.052
1564	0.999
1565	1.192
1566	1.337
1567	1.06
1568	1.238
1569	1.107
1570	0.839
1571	0.809
1572	0.54
1573	0.395
1574	0.573
1575	0.512
1576	0.663
1577	0.71
1578	0.563
1579	0.68
1580	0.635
1581	0.955
1582	0.966
1583	0.722
1584	0.867
1585	1.01
1586	1.085
1587	1
1588	0.678
1589	1.221
1590	1.252
1591	1.138
1592	1.118
1593	1.603
1594	1.465
1595	1.345
1596	1.27
1597	1.037
1598	0.271
1599	1.004
1600	1.003
1601	0.947
1602	1.012
1603	0.946
1604	0.807
1605	0.888
1606	0.65
1607	0.654
1608	0.984
1609	1.043
1610	0.837
1611	0.955
1612	0.728
1613	0.579
1614	0.799
1615	0.794
1616	0.875
1617	0.792
1618	0.807
1619	0.794
1620	1.042
1621	0.868
1622	0.636
1623	0.68
1624	0.535
1625	0.679
1626	0.819
1627	0.518
1628	0.223
1629	0.404
1630	0.632
1631	0.603
1632	0.83
1633	0.684
1634	1.02
1635	1.249
1636	0.874
1637	0.937
1638	0.756
1639	0.937
1640	0.954
1641	1.158
1642	1.309
1643	1.212
1644	0.913
1645	0.725
1646	0.753
1647	0.747
1648	1.134
1649	0.782
1650	0.776
1651	0.918
1652	1.125
1653	1.442
1654	1.376
1655	1.597
1656	1.337
1657	1.67
1658	1.226
1659	1.003
1660	1.203
1661	1.064
1662	0.995
1663	1.265
1664	1.012
1665	0.956
1666	1.251
1667	1.12
1668	1.034
1669	1.025
1670	1.283
1671	0.942
1672	1.107
1673	1.323
1674	1.371
1675	1.194
1676	1.265
1677	0.898
1678	0.53
1679	0.705
1680	1.044
1681	0.815
1682	0.963
1683	1.072
1684	1.033
1685	0.923
1686	0.992
1687	1.223
1688	1.096
1689	1.228
1690	1.036
1691	1.082
1692	1.031
1693	0.807
1694	1.161
1695	1.303
1696	0.383
1697	1.029
1698	1.166
1699	0.961
1700	0.799
1701	1.346
1702	0.971
1703	0.981
1704	1.037
1705	0.894
1706	0.851
1707	1.097
1708	1.027
1709	1.11
1710	0.906
1711	1.079
1712	1.099
1713	0.961
1714	1.008
1715	0.962
1716	0.98
1717	0.829
1718	1.027
1719	0.992
1720	1.188
1721	0.963
1722	0.939
1723	1.195
1724	1.176
1725	0.834
1726	0.944
1727	0.724
1728	1.06
1729	0.36
1730	0.694
1731	0.749
1732	0.779
1733	0.881
1734	0.857
1735	1.051
1736	0.624
1737	0.948
1738	1.235
1739	0.997
1740	0.999
1741	1.128
1742	1.077
1743	1.126
1744	1.399
1745	1.323
1746	1.306
1747	1.401
1748	1.256
1749	1.118
1750	1.255
1751	0.911
1752	0.867
1753	0.846
1754	0.894
1755	0.944
1756	0.861
1757	0.292
1758	0.762
1759	0.524
1760	0.805
1761	0.972
1762	1.009
1763	1.203
1764	1.414
1765	1.366
1766	1.233
1767	1.154
1768	0.986
1769	1.218
1770	1.227
1771	0.767
1772	0.732
1773	0.821
1774	0.731
1775	1.016
1776	1.341
1777	1.21
1778	1.171
1779	1.042
1780	1.125
1781	0.549
1782	0.7
1783	1.017
1784	0.797
1785	1.002
1786	1.102
1787	0.871
1788	0.955
1789	0.914
1790	0.98
1791	0.725
1792	1.135
1793	0.956
1794	0.977
1795	1.317
1796	1.164
1797	0.9
1798	1.003
1799	0.751
1800	0.821
1801	0.939
1802	0.931
1803	0.881
1804	1.022
1805	0.838
1806	0.909
1807	0.704
1808	0.738
1809	0.971
1810	1.317
1811	1.212
1812	0.943
1813	0.872
1814	0.862
1815	0.863
1816	0.919
1817	0.717
1818	0.75
1819	0.767
1820	0.817
1821	1.054
1822	0.664
1823	0.544
1824	0.795
1825	1.185
1826	1.284
1827	1.446
1828	1.121
1829	1.359
1830	1.227
1831	0.688
1832	0.98
1833	1.073
1834	1.083
1835	1.217
1836	1.457
1837	1.473
1838	1.214
1839	1.027
1840	0.796
1841	1.017
1842	1.092
1843	1.317
1844	0.885
1845	1.304
1846	1.185
1847	1.054
1848	1.233
1849	1.164
1850	1.292
1851	1.18
1852	0.92
1853	0.781
1854	0.866
1855	1.234
1856	1.3
1857	1.231
1858	1.25
1859	1.016
1860	1.048
1861	1.107
1862	1.286
1863	-0.019
1864	0.825
1865	0.755
1866	0.622
1867	0.912
1868	0.922
1869	0.747
1870	1.345
1871	1.272
1872	0.952
1873	1.11
1874	1.235
1875	0.952
1876	0.935
1877	1.084
1878	1.05
1879	0.556
1880	0.985
1881	1.248
1882	0.946
1883	1.307
1884	1.551
1885	1.285
1886	0.123
1887	1.191
1888	1.293
1889	0.925
1890	1.084
1891	1.14
1892	0.267
1893	0.587
1894	0.725
1895	0.738
1896	0.758
1897	0.806
1898	1.167
1899	1.295
1900	1.29
1901	1.236
1902	1.304
1903	0.98
1904	1.295
1905	1.506
1906	1.005
1907	0.931
1908	0.57
1909	0.769
1910	0.598
1911	0.58
1912	0.839
1913	0.784
1914	1.157
1915	0.878
1916	0.569
1917	0.653
1918	0.821
1919	0.903
1920	1.02
1921	1.073
1922	1.095
1923	1.204
1924	-0.018
1925	0.802
1926	0.943
1927	0.882
1928	1.034
1929	1.125
1930	1.433
1931	1.403
1932	1.255
1933	1.227
1934	0.892
1935	0.758
1936	0.458
1937	0.92
1938	0.719
1939	0.869
1940	1.092
1941	1.182
1942	1.715
1943	0.898
1944	1.121
1945	0.676
1946	0.432
1947	0.648
1948	0.854
1949	0.662
1950	1.137
1951	0.965
1952	0.782
1953	1.002
1954	0.781
1955	0.986
1956	0.997
1957	1.041
1958	0.932
1959	0.991
1960	0.728
1961	1.082
1962	1.004
1963	1.112
1964	0.879
1965	0.964
1966	0.921
1967	0.732
1968	0.073
1969	0.385
1970	0.674
1971	0.691
1972	0.824
