ÃÂ¯ÃÂ»ÃÂ¿# northamerica_usa_id010 - Sandpass - 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/4109
#
# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: northamerica_usa_id010 - Sandpass - 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: Sandpass
#	Location:
#	Country: United States
#	Northernmost_Latitude: 43.97
#	Southernmost_Latitude: 43.97
#	Easternmost_Longitude: -114.97
#	Westernmost_Longitude: -114.97
#	Elevation: 2800 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_id010B
#	Earliest_Year: 955
#	Most_Recent_Year: 1991
#	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":"6.96034388274","T2":"16.4216192248","M1":"0.0227025041354","M2":"0.470054843481"}}
#--------------------
# Species
#	Species_Name: whitebark pine
#	Species_Code: PIAL
#--------------------
# 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
955	1.609
956	1.72
957	1.8
958	1.627
959	1.36
960	1.203
961	1.203
962	1.235
963	1.394
964	1.299
965	1.094
966	1.364
967	1.586
968	1.286
969	1.207
970	1.747
971	2.145
972	1.605
973	1.304
974	1.034
975	0.987
976	0.876
977	0.844
978	0.765
979	0.749
980	0.75
981	0.782
982	0.67
983	0.846
984	0.958
985	0.879
986	0.847
987	1.136
988	1.024
989	0.96
990	0.832
991	1.041
992	0.833
993	0.704
994	0.994
995	0.93
996	1.108
997	0.866
998	0.996
999	1.125
1000	1.029
1001	1.013
1002	0.868
1003	0.82
1004	0.869
1005	0.934
1006	0.999
1007	1.145
1008	0.918
1009	0.74
1010	0.741
1011	0.79
1012	0.822
1013	1.196
1014	0.774
1015	0.839
1016	0.905
1017	0.742
1018	0.677
1019	0.678
1020	0.743
1021	0.613
1022	0.662
1023	0.94
1024	0.891
1025	0.924
1026	0.724
1027	0.712
1028	0.567
1029	0.714
1030	0.635
1031	0.586
1032	0.676
1033	0.84
1034	0.622
1035	0.648
1036	0.675
1037	0.56
1038	0.758
1039	0.962
1040	0.871
1041	1.025
1042	0.85
1043	1.035
1044	1.092
1045	0.88
1046	0.968
1047	1.244
1048	1.316
1049	1.383
1050	1.231
1051	1.022
1052	1.216
1053	1.209
1054	1.332
1055	1.261
1056	0.92
1057	1.077
1058	0.774
1059	0.862
1060	0.975
1061	1.091
1062	1.237
1063	0.858
1064	0.808
1065	0.902
1066	0.85
1067	0.871
1068	0.793
1069	0.849
1070	0.699
1071	0.783
1072	0.817
1073	1.059
1074	0.914
1075	1.213
1076	0.875
1077	1.152
1078	0.963
1079	1.192
1080	1.307
1081	1.39
1082	1.128
1083	1.153
1084	1.425
1085	1.113
1086	0.927
1087	1.447
1088	1.179
1089	1.155
1090	1.057
1091	1.273
1092	1.135
1093	1.381
1094	1.32
1095	1.427
1096	0.832
1097	1.408
1098	1.229
1099	1.325
1100	1.209
1101	0.924
1102	0.824
1103	0.807
1104	0.796
1105	1.031
1106	0.675
1107	0.971
1108	0.839
1109	0.677
1110	0.879
1111	0.607
1112	0.619
1113	0.519
1114	0.358
1115	0.792
1116	0.711
1117	0.71
1118	0.531
1119	0.644
1120	0.778
1121	1.139
1122	0.818
1123	0.863
1124	0.906
1125	0.825
1126	0.608
1127	0.604
1128	0.823
1129	0.913
1130	0.704
1131	0.816
1132	0.653
1133	0.632
1134	0.607
1135	0.467
1136	0.689
1137	0.708
1138	0.689
1139	0.622
1140	0.578
1141	0.916
1142	0.81
1143	0.758
1144	0.835
1145	0.751
1146	0.863
1147	1.047
1148	0.809
1149	0.664
1150	0.992
1151	0.892
1152	0.863
1153	0.915
1154	0.653
1155	0.547
1156	1.085
1157	0.961
1158	0.718
1159	0.766
1160	0.593
1161	0.92
1162	1.049
1163	0.63
1164	0.95
1165	0.793
1166	1.019
1167	1.138
1168	1.205
1169	1.172
1170	0.848
1171	1.173
1172	1.177
1173	1.164
1174	0.937
1175	1.004
1176	0.927
1177	0.898
1178	1.037
1179	1.278
1180	1.206
1181	1.241
1182	0.757
1183	0.934
1184	0.89
1185	0.678
1186	0.976
1187	0.954
1188	1.298
1189	1.031
1190	0.981
1191	0.942
1192	0.987
1193	0.845
1194	0.768
1195	0.876
1196	0.478
1197	0.802
1198	0.712
1199	0.884
1200	0.216
1201	0.766
1202	0.737
1203	0.864
1204	0.992
1205	0.938
1206	0.66
1207	0.544
1208	1.033
1209	0.796
1210	0.581
1211	1.214
1212	1.262
1213	1.059
1214	0.982
1215	0.741
1216	1.281
1217	0.987
1218	1.06
1219	0.889
1220	0.977
1221	1.037
1222	1.602
1223	1.575
1224	1.513
1225	0.809
1226	1.294
1227	1.525
1228	1.512
1229	1.182
1230	1.243
1231	1.515
1232	1.103
1233	1.371
1234	0.861
1235	1.387
1236	1.179
1237	1.554
1238	1.425
1239	1.27
1240	1.109
1241	1.08
1242	0.669
1243	1.259
1244	0.936
1245	0.708
1246	1.184
1247	1.297
1248	1.203
1249	0.902
1250	0.859
1251	0.84
1252	0.73
1253	0.754
1254	0.898
1255	0.912
1256	0.902
1257	1.215
1258	0.905
1259	1.007
1260	1.228
1261	1.245
1262	1.16
1263	1.072
1264	1.442
1265	1.162
1266	1.045
1267	1.232
1268	0.888
1269	1.276
1270	1.343
1271	1.073
1272	1.313
1273	1.221
1274	1.302
1275	0.988
1276	1.36
1277	1.197
1278	1.066
1279	1.073
1280	1.334
1281	0.872
1282	1.246
1283	1.201
1284	1.179
1285	1.383
1286	1.433
1287	1.417
1288	1.27
1289	1.031
1290	1.105
1291	1.278
1292	1.142
1293	1.019
1294	1.349
1295	1.243
1296	0.885
1297	1.08
1298	1.33
1299	0.997
1300	0.9
1301	1.253
1302	1.331
1303	1.307
1304	0.965
1305	0.897
1306	1.322
1307	0.907
1308	1.396
1309	1.354
1310	1.171
1311	1.183
1312	0.881
1313	1.458
1314	1.085
1315	1.288
1316	1.226
1317	1.037
1318	1.06
1319	1.033
1320	0.912
1321	0.971
1322	1.044
1323	1.374
1324	1.014
1325	1.126
1326	1.155
1327	1.343
1328	1.411
1329	1.324
1330	0.738
1331	1.132
1332	1.127
1333	1.365
1334	1.1
1335	0.636
1336	0.791
1337	0.957
1338	0.974
1339	0.914
1340	1.164
1341	1.236
1342	0.762
1343	0.795
1344	0.851
1345	1.072
1346	1.141
1347	1.143
1348	0.724
1349	0.958
1350	0.659
1351	1.032
1352	1.023
1353	0.898
1354	0.932
1355	1.111
1356	1.142
1357	0.976
1358	1.127
1359	1.15
1360	0.936
1361	1.122
1362	1.303
1363	1.208
1364	0.79
1365	1.144
1366	1.056
1367	1.007
1368	1.147
1369	1.134
1370	0.922
1371	1.036
1372	1.123
1373	0.981
1374	0.998
1375	0.813
1376	1.026
1377	1.131
1378	0.92
1379	0.7
1380	0.911
1381	0.735
1382	0.883
1383	0.975
1384	0.851
1385	1.233
1386	0.743
1387	1.065
1388	0.921
1389	1.023
1390	0.766
1391	0.975
1392	0.488
1393	0.759
1394	0.908
1395	1.211
1396	0.544
1397	0.863
1398	0.828
1399	0.429
1400	0.798
1401	0.785
1402	0.888
1403	1.023
1404	1.077
1405	1.114
1406	1.026
1407	0.945
1408	0.905
1409	1.071
1410	1.064
1411	1.284
1412	0.766
1413	1.237
1414	1.146
1415	1.177
1416	0.89
1417	0.356
1418	0.762
1419	0.915
1420	0.868
1421	0.733
1422	0.798
1423	0.812
1424	0.725
1425	0.495
1426	0.892
1427	0.506
1428	0.776
1429	0.81
1430	0.647
1431	0.884
1432	0.697
1433	0.913
1434	0.872
1435	0.836
1436	0.898
1437	1.058
1438	0.74
1439	0.568
1440	0.926
1441	0.62
1442	0.734
1443	0.752
1444	0.898
1445	0.944
1446	1.046
1447	0.883
1448	0.593
1449	0.833
1450	0.827
1451	0.728
1452	1.07
1453	1.002
1454	0.805
1455	1.058
1456	0.804
1457	0.947
1458	0.352
1459	0.721
1460	0.901
1461	0.573
1462	0.798
1463	0.679
1464	0.853
1465	0.949
1466	0.882
1467	0.9
1468	0.809
1469	0.985
1470	0.986
1471	0.918
1472	0.732
1473	0.721
1474	0.778
1475	0.69
1476	0.939
1477	0.966
1478	0.777
1479	0.89
1480	0.956
1481	0.99
1482	0.88
1483	0.873
1484	1.066
1485	0.864
1486	0.891
1487	0.889
1488	1.014
1489	1.504
1490	1.192
1491	1.086
1492	1.03
1493	1.01
1494	1.1
1495	1.228
1496	1.138
1497	0.996
1498	1.087
1499	0.614
1500	0.748
1501	0.935
1502	0.831
1503	0.77
1504	0.721
1505	0.528
1506	0.877
1507	0.879
1508	1.001
1509	1.054
1510	0.973
1511	0.724
1512	1.084
1513	1.003
1514	0.938
1515	1.023
1516	1.238
1517	1.175
1518	0.677
1519	0.901
1520	0.609
1521	0.97
1522	1.047
1523	1.037
1524	1.011
1525	1.081
1526	0.797
1527	1.195
1528	1.245
1529	0.784
1530	1.122
1531	1.268
1532	1.152
1533	1.129
1534	0.916
1535	1.092
1536	0.994
1537	1.172
1538	0.941
1539	1.005
1540	0.974
1541	1.037
1542	1.335
1543	1.126
1544	1.03
1545	1.219
1546	1.165
1547	0.964
1548	1.052
1549	1.067
1550	0.837
1551	0.854
1552	0.907
1553	0.947
1554	0.958
1555	1.181
1556	1.132
1557	0.948
1558	1.257
1559	1.083
1560	0.907
1561	0.818
1562	1.071
1563	1.145
1564	1.019
1565	0.848
1566	1.148
1567	1.223
1568	1.109
1569	1.023
1570	1.024
1571	0.841
1572	0.994
1573	0.993
1574	1.122
1575	1.104
1576	1.17
1577	1.126
1578	0.853
1579	1.244
1580	1.128
1581	0.861
1582	0.849
1583	1.01
1584	1.029
1585	0.891
1586	0.948
1587	1
1588	1.013
1589	1.081
1590	1.02
1591	0.944
1592	0.981
1593	1.141
1594	0.909
1595	1.122
1596	1.13
1597	1.272
1598	0.916
1599	0.924
1600	0.81
1601	0.936
1602	0.871
1603	1.406
1604	0.88
1605	0.816
1606	0.912
1607	0.775
1608	0.822
1609	1.092
1610	0.395
1611	1.095
1612	0.88
1613	0.589
1614	1.041
1615	0.872
1616	0.831
1617	0.984
1618	0.684
1619	1.03
1620	0.954
1621	1.135
1622	0.96
1623	1.238
1624	1.097
1625	1.196
1626	0.944
1627	0.785
1628	1.002
1629	0.856
1630	0.83
1631	1.041
1632	0.747
1633	1.094
1634	1.049
1635	0.849
1636	1.18
1637	1.148
1638	1.005
1639	0.908
1640	1.077
1641	0.624
1642	0.348
1643	0.719
1644	0.698
1645	0.571
1646	0.647
1647	0.799
1648	0.952
1649	0.902
1650	0.946
1651	0.596
1652	0.762
1653	0.966
1654	1.016
1655	1.082
1656	0.784
1657	1.015
1658	0.977
1659	1.083
1660	1.107
1661	0.793
1662	1.164
1663	1.01
1664	1.197
1665	1.268
1666	1.168
1667	0.653
1668	1.183
1669	1.153
1670	0.9
1671	0.729
1672	1.129
1673	0.911
1674	1.029
1675	1.23
1676	1.029
1677	1
1678	1.001
1679	1.116
1680	0.935
1681	0.92
1682	1.244
1683	1.282
1684	1.247
1685	1.23
1686	1.085
1687	1.022
1688	1.345
1689	1.377
1690	1.19
1691	1.3
1692	1.008
1693	1.197
1694	0.748
1695	0.717
1696	1.144
1697	1.166
1698	1.089
1699	0.566
1700	1.063
1701	1.096
1702	1.024
1703	0.77
1704	0.986
1705	1.015
1706	1
1707	1.1
1708	0.959
1709	0.97
1710	0.84
1711	0.878
1712	1.014
1713	0.911
1714	1.001
1715	1.023
1716	1.153
1717	1.193
1718	1.237
1719	0.851
1720	1.037
1721	0.818
1722	1.479
1723	0.335
1724	1.409
1725	1.164
1726	1.351
1727	1.215
1728	1.177
1729	1.155
1730	1.223
1731	1.029
1732	1.033
1733	1.009
1734	1.154
1735	0.934
1736	0.792
1737	1.088
1738	0.983
1739	1.204
1740	1.34
1741	1.552
1742	1.183
1743	1.374
1744	1.128
1745	1.362
1746	0.722
1747	1.118
1748	0.978
1749	0.991
1750	0.754
1751	1.115
1752	1.028
1753	1.102
1754	1.075
1755	0.664
1756	1.147
1757	1.189
1758	0.855
1759	1.063
1760	1.033
1761	0.838
1762	0.899
1763	1.108
1764	0.804
1765	0.968
1766	0.815
1767	0.952
1768	0.958
1769	0.971
1770	0.585
1771	1.12
1772	0.972
1773	1.203
1774	1.094
1775	1.019
1776	0.84
1777	0.913
1778	0.847
1779	0.81
1780	0.646
1781	1.065
1782	0.982
1783	0.7
1784	0.636
1785	1.168
1786	1.134
1787	0.894
1788	0.917
1789	1.148
1790	1.168
1791	0.75
1792	1.082
1793	0.711
1794	1.009
1795	0.929
1796	0.977
1797	1.113
1798	1.264
1799	0.895
1800	0.805
1801	1.214
1802	0.923
1803	0.548
1804	0.96
1805	0.969
1806	0.988
1807	1.034
1808	1.088
1809	1.062
1810	0.99
1811	1.28
1812	1.233
1813	1.271
1814	0.705
1815	1.16
1816	1.029
1817	1.108
1818	0.867
1819	0.871
1820	0.977
1821	0.729
1822	0.743
1823	1.013
1824	0.567
1825	0.646
1826	1.036
1827	1.049
1828	0.455
1829	0.856
1830	1.032
1831	1.02
1832	0.678
1833	0.944
1834	0.825
1835	1.112
1836	0.92
1837	0.474
1838	0.567
1839	0.719
1840	1.048
1841	1.045
1842	1.049
1843	0.975
1844	0.648
1845	0.844
1846	0.98
1847	0.784
1848	0.804
1849	0.832
1850	0.842
1851	0.667
1852	0.997
1853	1.064
1854	0.735
1855	0.975
1856	0.844
1857	0.946
1858	0.909
1859	1.348
1860	0.954
1861	1.238
1862	1.048
1863	0.927
1864	0.695
1865	0.964
1866	0.941
1867	0.915
1868	0.749
1869	0.917
1870	1.076
1871	1.175
1872	1.176
1873	0.987
1874	1.091
1875	1.086
1876	1.198
1877	0.884
1878	0.849
1879	1.04
1880	1.049
1881	1.038
1882	1.104
1883	0.848
1884	1.035
1885	0.532
1886	1.199
1887	1.174
1888	0.945
1889	0.87
1890	1.055
1891	0.76
1892	1.015
1893	1.19
1894	0.965
1895	0.649
1896	1.12
1897	0.959
1898	0.971
1899	0.99
1900	1.029
1901	1.096
1902	1.006
1903	1.034
1904	1.165
1905	0.823
1906	0.748
1907	1.131
1908	1.007
1909	1.11
1910	1.181
1911	1.194
1912	1.166
1913	1.006
1914	1.032
1915	0.584
1916	1.137
1917	1.069
1918	1.18
1919	1.026
1920	1.011
1921	1.094
1922	1.08
1923	1.009
1924	1.021
1925	1.218
1926	1.047
1927	1.222
1928	0.968
1929	1.063
1930	0.784
1931	0.883
1932	0.94
1933	1.059
1934	0.679
1935	1.008
1936	0.914
1937	0.989
1938	1.006
1939	0.649
1940	1.07
1941	0.873
1942	0.804
1943	1.018
1944	0.924
1945	1.081
1946	0.98
1947	0.988
1948	1.363
1949	0.927
1950	1.182
1951	0.994
1952	0.975
1953	1.248
1954	1.241
1955	1.265
1956	0.993
1957	1.196
1958	1.202
1959	1.295
1960	1.149
1961	1.169
1962	0.943
1963	1.336
1964	1.195
1965	1.268
1966	0.808
1967	1.376
1968	1.063
1969	0.852
1970	1.316
1971	1.155
1972	1.017
1973	0.962
1974	1.269
1975	1.33
1976	1.079
1977	0.964
1978	1.015
1979	0.8
1980	0.853
1981	0.878
1982	1.155
1983	1.097
1984	1.304
1985	1.069
1986	1.102
1987	1.027
1988	1.261
1989	1.101
1990	0.881
1991	1.282