ÃÂ¯ÃÂ»ÃÂ¿# northamerica_usa_ar050 - Black Swamp - 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/4815
#
# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: northamerica_usa_ar050 - Black Swamp - 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: Black Swamp
#	Location:
#	Country: United States
#	Northernmost_Latitude: 35.15
#	Southernmost_Latitude: 35.15
#	Easternmost_Longitude: -91.3
#	Westernmost_Longitude: -91.3
#	Elevation: 55 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_ar050B
#	Earliest_Year: 1019
#	Most_Recent_Year: 1980
#	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":"6.15438927912","T2":"19.6661824963","M1":"0.0232289291246","M2":"0.601809038609"}}
#--------------------
# Species
#	Species_Name: baldcypress
#	Species_Code: TADI
#--------------------
# 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
1019	2.048
1020	2.704
1021	3.49
1022	3.065
1023	2.491
1024	1.562
1025	2.243
1026	2.318
1027	0.865
1028	0.63
1029	0.691
1030	0.632
1031	0.603
1032	0.801
1033	0.712
1034	1.06
1035	1.455
1036	1.266
1037	1.291
1038	1.866
1039	2.21
1040	1.854
1041	1.455
1042	1.292
1043	0.873
1044	0.862
1045	0.848
1046	0.355
1047	0.621
1048	0.658
1049	0.82
1050	0.938
1051	0.902
1052	1.548
1053	1.26
1054	0.763
1055	2.518
1056	1.192
1057	0.923
1058	1.922
1059	2.101
1060	1.269
1061	0.754
1062	1.036
1063	0.779
1064	0.887
1065	1.323
1066	0.932
1067	1.224
1068	0.595
1069	0.86
1070	0.596
1071	0.7
1072	0.521
1073	0.416
1074	0.491
1075	0.998
1076	0.78
1077	0.966
1078	1.746
1079	1.271
1080	1.641
1081	1.775
1082	1.863
1083	1.421
1084	1.067
1085	1.339
1086	1.102
1087	1.084
1088	1.208
1089	0.999
1090	0.522
1091	0.88
1092	0.982
1093	1.136
1094	0.818
1095	1.3
1096	1.736
1097	1.414
1098	1.426
1099	1.147
1100	1.191
1101	0.982
1102	1.706
1103	1.937
1104	1.097
1105	0.531
1106	0.522
1107	0.423
1108	0.357
1109	0.324
1110	0.209
1111	0.489
1112	0.358
1113	0.357
1114	0.273
1115	0.209
1116	0.226
1117	0.242
1118	0.472
1119	0.406
1120	0.814
1121	0.85
1122	0.85
1123	0.998
1124	0.752
1125	0.702
1126	0.719
1127	0.921
1128	0.768
1129	0.686
1130	0.538
1131	0.834
1132	0.686
1133	0.785
1134	0.573
1135	0.538
1136	0.937
1137	0.806
1138	0.525
1139	0.724
1140	0.798
1141	1.618
1142	0.738
1143	0.547
1144	0.3
1145	0.523
1146	0.174
1147	0.312
1148	0.334
1149	0.125
1150	0.653
1151	0.735
1152	0.492
1153	0.499
1154	0.55
1155	0.933
1156	1.479
1157	2.005
1158	0.693
1159	1.467
1160	1.092
1161	1.451
1162	0.69
1163	0.457
1164	0.775
1165	1.017
1166	3.121
1167	1.222
1168	2.678
1169	1.782
1170	2.12
1171	1.997
1172	1.864
1173	1.605
1174	1.069
1175	1.392
1176	0.702
1177	0.795
1178	0.852
1179	0.611
1180	1.189
1181	0.837
1182	1.204
1183	1.057
1184	0.422
1185	0.757
1186	0.59
1187	0.249
1188	0.152
1189	0.379
1190	0.624
1191	0.473
1192	0.692
1193	0.289
1194	0.409
1195	0.209
1196	0.283
1197	0.202
1198	0.107
1199	0.114
1200	0.383
1201	0.5
1202	0.552
1203	1.561
1204	1.013
1205	1.596
1206	1.506
1207	1.098
1208	1.04
1209	0.83
1210	0.523
1211	0.345
1212	0.866
1213	1.048
1214	1.447
1215	1.036
1216	0.966
1217	1.189
1218	0.92
1219	0.798
1220	0.836
1221	0.617
1222	1.025
1223	0.723
1224	0.504
1225	0.532
1226	0.334
1227	0.611
1228	0.352
1229	0.334
1230	0.297
1231	0.505
1232	0.63
1233	0.785
1234	0.582
1235	0.883
1236	0.404
1237	0.884
1238	0.559
1239	0.859
1240	0.698
1241	0.571
1242	0.575
1243	0.605
1244	0.83
1245	0.757
1246	0.544
1247	0.579
1248	0.729
1249	1.116
1250	1.135
1251	1.063
1252	0.991
1253	0.939
1254	0.721
1255	0.52
1256	0.221
1257	0.595
1258	0.849
1259	0.966
1260	1.185
1261	1.187
1262	1.342
1263	1.275
1264	1.205
1265	1.715
1266	1.57
1267	2.238
1268	1.844
1269	1.043
1270	0.663
1271	0.825
1272	1.03
1273	0.962
1274	1.49
1275	1.083
1276	0.446
1277	0.917
1278	1.471
1279	1.007
1280	1.091
1281	0.92
1282	1.16
1283	0.933
1284	0.88
1285	0.581
1286	0.516
1287	0.581
1288	0.893
1289	0.428
1290	0.586
1291	0.674
1292	0.483
1293	0.498
1294	0.508
1295	0.813
1296	0.491
1297	0.678
1298	0.642
1299	1.18
1300	0.704
1301	1.031
1302	0.693
1303	0.743
1304	0.839
1305	0.246
1306	0.694
1307	0.885
1308	1.12
1309	1.863
1310	2.696
1311	2.563
1312	1.874
1313	1.5
1314	1.625
1315	2.192
1316	1.918
1317	1.953
1318	1.337
1319	1.746
1320	1.205
1321	1.317
1322	0.897
1323	0.994
1324	0.884
1325	0.497
1326	1.066
1327	0.574
1328	0.721
1329	-0.014
1330	1.798
1331	1.237
1332	1.872
1333	2.138
1334	3.02
1335	0.953
1336	0.774
1337	0.63
1338	1.613
1339	1.503
1340	1.323
1341	3.405
1342	0.801
1343	1.328
1344	0.971
1345	0.971
1346	0.466
1347	0.922
1348	1.278
1349	0.622
1350	0.842
1351	0.662
1352	0.467
1353	0.788
1354	0.788
1355	0.913
1356	0.569
1357	0.909
1358	0.66
1359	0.898
1360	0.628
1361	0.739
1362	0.844
1363	0.772
1364	0.782
1365	0.883
1366	0.655
1367	0.626
1368	1.029
1369	0.407
1370	1.13
1371	1.622
1372	1.116
1373	1.769
1374	1.465
1375	2.385
1376	1.236
1377	2.201
1378	1.265
1379	1.05
1380	0.712
1381	1.138
1382	0.904
1383	0.836
1384	0.78
1385	0.366
1386	0.688
1387	0.044
1388	0.133
1389	0.752
1390	0.12
1391	0.703
1392	0.231
1393	0.232
1394	0.408
1395	0.657
1396	0.233
1397	0.811
1398	0.642
1399	0.623
1400	-0.006
1401	0.517
1402	0.666
1403	1.071
1404	1.299
1405	1.378
1406	1.369
1407	1.806
1408	1.526
1409	1.167
1410	1.251
1411	0.755
1412	0.522
1413	0.769
1414	0.982
1415	0.813
1416	1.014
1417	1.434
1418	0.934
1419	1.034
1420	0.914
1421	0.488
1422	0.797
1423	0.872
1424	1.481
1425	1.194
1426	1.504
1427	1.124
1428	0.899
1429	1.021
1430	0.643
1431	0.763
1432	0.86
1433	0.762
1434	0.888
1435	0.648
1436	0.542
1437	0.788
1438	0.735
1439	0.565
1440	0.441
1441	0.677
1442	0.725
1443	1.268
1444	0.648
1445	1.052
1446	0.864
1447	0.915
1448	1.152
1449	0.722
1450	0.694
1451	0.52
1452	0.401
1453	0.27
1454	0.187
1455	0.237
1456	0.318
1457	0.623
1458	0.862
1459	1.106
1460	1.234
1461	1.608
1462	1.055
1463	0.897
1464	0.814
1465	0.759
1466	1.289
1467	0.781
1468	0.602
1469	0.785
1470	0.814
1471	1.426
1472	1.069
1473	0.893
1474	0.739
1475	0.821
1476	0.766
1477	0.871
1478	1.553
1479	1.491
1480	1.412
1481	1.157
1482	0.747
1483	0.726
1484	0.723
1485	1.277
1486	0.799
1487	1.207
1488	0.679
1489	0.476
1490	0.782
1491	0.638
1492	0.506
1493	1.418
1494	1.248
1495	1.348
1496	0.593
1497	0.859
1498	1.52
1499	0.802
1500	1.934
1501	0.873
1502	0.813
1503	0.73
1504	1.254
1505	0.764
1506	1.428
1507	1.384
1508	1.255
1509	1.382
1510	0.887
1511	0.797
1512	0.703
1513	0.508
1514	0.99
1515	0.589
1516	0.732
1517	0.592
1518	1.058
1519	0.86
1520	0.816
1521	1.243
1522	0.947
1523	1.131
1524	1.37
1525	0.71
1526	1.086
1527	0.618
1528	0.749
1529	1.345
1530	1.229
1531	1.687
1532	0.863
1533	0.718
1534	0.863
1535	0.659
1536	1.319
1537	1.513
1538	1.805
1539	1.175
1540	1.29
1541	0.626
1542	0.926
1543	1.075
1544	0.81
1545	1.4
1546	1.575
1547	0.708
1548	1.861
1549	1.458
1550	0.53
1551	0.764
1552	0.694
1553	0.981
1554	1.001
1555	0.546
1556	0.482
1557	0.758
1558	0.339
1559	0.753
1560	0.814
1561	0.481
1562	1.135
1563	1.064
1564	0.521
1565	0.274
1566	0.376
1567	0.471
1568	0.501
1569	0.63
1570	0.629
1571	0.571
1572	0.703
1573	0.519
1574	0.851
1575	1.9
1576	1.2
1577	1.843
1578	2.282
1579	1.577
1580	0.993
1581	0.658
1582	0.871
1583	0.769
1584	0.982
1585	0.732
1586	1.198
1587	0.573
1588	1.023
1589	1.081
1590	0.635
1591	0.642
1592	0.805
1593	0.55
1594	0.557
1595	1.264
1596	0.734
1597	0.215
1598	0.25
1599	0.396
1600	0.82
1601	0.593
1602	0.694
1603	0.945
1604	1.18
1605	1.308
1606	1.946
1607	1.255
1608	1.078
1609	1.333
1610	1.092
1611	1.062
1612	0.582
1613	0.962
1614	0.92
1615	1.056
1616	1.141
1617	1.427
1618	0.999
1619	0.841
1620	1.65
1621	1.677
1622	1.393
1623	2.071
1624	1.748
1625	1.434
1626	1.456
1627	0.994
1628	0.904
1629	1.622
1630	0.959
1631	0.894
1632	0.893
1633	1.529
1634	1
1635	1.019
1636	1.458
1637	1.247
1638	0.387
1639	0.748
1640	0.439
1641	0.738
1642	0.598
1643	0.622
1644	0.519
1645	0.226
1646	0.584
1647	1.914
1648	1.06
1649	1.609
1650	1.039
1651	0.991
1652	0.613
1653	0.576
1654	0.315
1655	0.869
1656	0.964
1657	1.441
1658	1.138
1659	0.873
1660	0.967
1661	1.336
1662	1.427
1663	1.108
1664	1.08
1665	1.582
1666	0.505
1667	0.885
1668	0.513
1669	0.797
1670	0.777
1671	0.647
1672	1.057
1673	0.742
1674	0.9
1675	0.742
1676	0.839
1677	0.633
1678	1.278
1679	1.04
1680	1.693
1681	0.86
1682	1.034
1683	0.828
1684	0.517
1685	0.76
1686	1.045
1687	0.358
1688	0.968
1689	0.967
1690	1.64
1691	1.601
1692	0.913
1693	0.779
1694	1.28
1695	0.565
1696	0.829
1697	0.577
1698	1.042
1699	0.861
1700	0.991
1701	1.071
1702	0.839
1703	0.311
1704	0.806
1705	0.518
1706	1.406
1707	1.439
1708	0.581
1709	0.65
1710	1.015
1711	1.087
1712	0.692
1713	1.502
1714	1.648
1715	0.833
1716	1.043
1717	1.16
1718	0.772
1719	1.205
1720	0.559
1721	0.812
1722	0.69
1723	0.914
1724	1.431
1725	1.184
1726	1.147
1727	1.411
1728	0.715
1729	0.977
1730	0.798
1731	1.158
1732	1.065
1733	1.151
1734	0.598
1735	1.269
1736	0.536
1737	0.373
1738	1.049
1739	1.033
1740	1.039
1741	0.467
1742	0.825
1743	0.972
1744	1.123
1745	0.892
1746	0.935
1747	1.101
1748	0.491
1749	0.857
1750	1.118
1751	0.837
1752	0.929
1753	1.183
1754	0.893
1755	0.837
1756	0.802
1757	1.727
1758	1.095
1759	1.202
1760	0.73
1761	0.955
1762	0.687
1763	0.665
1764	1.36
1765	0.792
1766	0.029
1767	0.561
1768	0.691
1769	0.719
1770	0.575
1771	0.97
1772	0.598
1773	1.246
1774	1.547
1775	1.216
1776	1.296
1777	1.606
1778	0.458
1779	1.074
1780	0.357
1781	1.363
1782	1.321
1783	1.299
1784	0.885
1785	0.894
1786	1.235
1787	1.051
1788	1.165
1789	0.567
1790	1.121
1791	0.711
1792	0.941
1793	1.301
1794	0.662
1795	1.007
1796	1.149
1797	1.471
1798	0.92
1799	0.76
1800	0.386
1801	0.457
1802	0.516
1803	0.92
1804	0.916
1805	1.077
1806	1.018
1807	1.105
1808	0.831
1809	0.648
1810	0.549
1811	0.976
1812	0.352
1813	1.462
1814	0.787
1815	1.416
1816	0.441
1817	0.805
1818	0.411
1819	1.069
1820	0.878
1821	0.557
1822	1.014
1823	1.078
1824	0.855
1825	0.8
1826	1.581
1827	0.904
1828	1.439
1829	0.698
1830	1.1
1831	0.778
1832	1.125
1833	0.961
1834	0.388
1835	0.908
1836	0.799
1837	0.677
1838	0.418
1839	0.805
1840	0.698
1841	0.801
1842	0.994
1843	1.401
1844	1.548
1845	0.833
1846	1.153
1847	0.735
1848	1.272
1849	1.102
1850	1.119
1851	0.931
1852	0.785
1853	0.934
1854	1.457
1855	0.577
1856	1.026
1857	0.321
1858	1.479
1859	1.076
1860	0.869
1861	1.392
1862	1.684
1863	1.399
1864	1.394
1865	1.315
1866	1.69
1867	1.871
1868	0.66
1869	0.966
1870	0.414
1871	0.667
1872	0.727
1873	0.3
1874	0.242
1875	0.707
1876	0.86
1877	0.651
1878	1.387
1879	0.452
1880	1.164
1881	0.788
1882	1.243
1883	1.146
1884	1.372
1885	0.823
1886	1.163
1887	0.644
1888	1.262
1889	1.251
1890	1.153
1891	1.151
1892	1.56
1893	1.595
1894	1.207
1895	0.509
1896	0.655
1897	0.393
1898	0.782
1899	0.904
1900	0.669
1901	0.627
1902	0.126
1903	0.743
1904	0.912
1905	0.993
1906	0.874
1907	1.83
1908	1.339
1909	1.424
1910	1.598
1911	0.422
1912	1.669
1913	0.322
1914	0.537
1915	0.658
1916	0.801
1917	0.866
1918	0.765
1919	0.614
1920	0.739
1921	0.742
1922	1.032
1923	1.428
1924	1.21
1925	0.667
1926	0.209
1927	1.905
1928	0.928
1929	1.317
1930	0.808
1931	0.325
1932	1.048
1933	1.149
1934	0.646
1935	1.467
1936	0.508
1937	0.834
1938	0.848
1939	1.261
1940	0.951
1941	0.893
1942	1.297
1943	1.632
1944	0.959
1945	1.794
1946	0.806
1947	1.311
1948	1.076
1949	0.523
1950	1.326
1951	0.873
1952	0.645
1953	0.689
1954	0.49
1955	0.507
1956	0.144
1957	1.501
1958	0.421
1959	0.642
1960	1.002
1961	0.738
1962	0.784
1963	0.813
1964	0.73
1965	1.065
1966	0.944
1967	1.333
1968	1.194
1969	1.11
1970	1.155
1971	0.898
1972	1.257
1973	1.827
1974	1.717
1975	1.965
1976	2.368
1977	0.641
1978	0.956
1979	1.079
1980	0.475