ÃÂ¯ÃÂ»ÃÂ¿# northamerica_usa_la001 - Big Cypress State Park - 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/4813
#
# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: northamerica_usa_la001 - Big Cypress State Park - 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: Big Cypress State Park
#	Location:
#	Country: United States
#	Northernmost_Latitude: 32.25
#	Southernmost_Latitude: 32.25
#	Easternmost_Longitude: -92.97
#	Westernmost_Longitude: -92.97
#	Elevation: 47 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_la001B
#	Earliest_Year: 997
#	Most_Recent_Year: 1988
#	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":"4.9092281256","T2":"18.3679346485","M1":"0.0219972235177","M2":"0.602720289127"}}
#--------------------
# 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
997	1.769
998	0.959
999	0.86
1000	0.573
1001	0.714
1002	1.421
1003	1.006
1004	0.865
1005	0.802
1006	0.677
1007	0.956
1008	0.926
1009	0.845
1010	0.933
1011	0.973
1012	0.836
1013	1.033
1014	0.57
1015	0.586
1016	0.537
1017	1.192
1018	1.006
1019	1.843
1020	1.068
1021	1.053
1022	0.802
1023	0.853
1024	1.395
1025	0.963
1026	1.026
1027	1.414
1028	1.284
1029	1.048
1030	1.396
1031	1.471
1032	1.243
1033	0.844
1034	0.816
1035	1.104
1036	1.035
1037	1.177
1038	1.289
1039	1.136
1040	0.889
1041	0.774
1042	0.849
1043	0.824
1044	0.606
1045	0.564
1046	1.066
1047	1.151
1048	0.841
1049	1.211
1050	0.808
1051	0.659
1052	0.965
1053	1.584
1054	1.77
1055	1.876
1056	1.628
1057	1.316
1058	1.108
1059	1.323
1060	1.435
1061	0.942
1062	0.52
1063	0.651
1064	0.649
1065	1.158
1066	1.184
1067	0.849
1068	1.206
1069	0.799
1070	1.163
1071	1.005
1072	0.796
1073	0.772
1074	0.515
1075	0.794
1076	0.822
1077	1.006
1078	0.753
1079	0.683
1080	0.315
1081	0.712
1082	0.738
1083	1.129
1084	1.059
1085	1.145
1086	0.696
1087	0.892
1088	1.225
1089	0.926
1090	0.701
1091	0.863
1092	0.909
1093	1.024
1094	1.125
1095	1.363
1096	1.208
1097	1.126
1098	1.409
1099	0.91
1100	0.835
1101	0.856
1102	1.058
1103	1.134
1104	0.733
1105	0.546
1106	1.404
1107	1.328
1108	0.84
1109	0.831
1110	0.813
1111	0.825
1112	0.673
1113	0.946
1114	1.622
1115	0.859
1116	0.859
1117	0.846
1118	0.901
1119	0.811
1120	1.102
1121	0.993
1122	0.742
1123	1.135
1124	0.75
1125	0.723
1126	0.619
1127	0.851
1128	0.669
1129	0.455
1130	0.613
1131	0.7
1132	0.791
1133	0.819
1134	0.531
1135	0.652
1136	1.405
1137	0.694
1138	0.455
1139	0.707
1140	0.807
1141	0.774
1142	0.764
1143	0.916
1144	0.888
1145	0.761
1146	0.761
1147	0.943
1148	0.959
1149	0.508
1150	0.596
1151	0.795
1152	0.666
1153	0.777
1154	0.562
1155	0.613
1156	0.604
1157	0.679
1158	0.357
1159	0.626
1160	0.834
1161	0.783
1162	0.926
1163	0.969
1164	0.706
1165	1.344
1166	1.577
1167	0.793
1168	1.203
1169	1.666
1170	1.454
1171	1.885
1172	1.753
1173	2.206
1174	2.334
1175	2.672
1176	2.27
1177	1.314
1178	1.947
1179	1.368
1180	1.889
1181	0.811
1182	1.523
1183	1.22
1184	0.873
1185	0.859
1186	1.097
1187	0.817
1188	1.128
1189	1.329
1190	1.139
1191	1.269
1192	1.277
1193	0.738
1194	0.936
1195	1.104
1196	1.157
1197	1.621
1198	0.894
1199	0.78
1200	0.73
1201	0.635
1202	0.729
1203	0.567
1204	0.805
1205	0.829
1206	0.652
1207	0.605
1208	0.666
1209	0.686
1210	0.66
1211	0.469
1212	0.913
1213	1.002
1214	0.841
1215	0.489
1216	0.439
1217	0.48
1218	0.933
1219	1.225
1220	1.165
1221	0.929
1222	0.826
1223	0.767
1224	0.498
1225	0.501
1226	0.678
1227	0.965
1228	1.344
1229	0.925
1230	0.856
1231	0.654
1232	0.537
1233	0.496
1234	0.444
1235	0.985
1236	0.552
1237	0.816
1238	0.774
1239	1.037
1240	0.555
1241	0.525
1242	0.892
1243	1.034
1244	1.146
1245	0.857
1246	0.712
1247	0.737
1248	0.838
1249	0.7
1250	0.842
1251	0.759
1252	0.935
1253	1.341
1254	0.838
1255	0.926
1256	0.665
1257	0.627
1258	0.748
1259	0.936
1260	1.062
1261	0.84
1262	0.813
1263	0.905
1264	1.15
1265	1.419
1266	1.352
1267	2.092
1268	1.702
1269	0.461
1270	1.267
1271	1.007
1272	0.822
1273	1.239
1274	1.043
1275	0.907
1276	0.365
1277	0.807
1278	1.164
1279	0.949
1280	0.905
1281	0.797
1282	0.839
1283	0.765
1284	0.693
1285	0.917
1286	0.86
1287	0.704
1288	0.697
1289	0.684
1290	1.282
1291	0.445
1292	0.725
1293	0.378
1294	0.334
1295	0.821
1296	0.755
1297	0.504
1298	0.776
1299	0.679
1300	1.008
1301	0.688
1302	1.303
1303	1.093
1304	1.204
1305	0.723
1306	1.324
1307	0.624
1308	0.65
1309	0.792
1310	0.657
1311	0.595
1312	0.443
1313	0.52
1314	0.994
1315	0.92
1316	0.932
1317	0.822
1318	0.941
1319	1.233
1320	0.899
1321	1.747
1322	1.233
1323	1.794
1324	1.574
1325	1.339
1326	2.07
1327	1.928
1328	1.824
1329	0.923
1330	0.811
1331	0.96
1332	1.229
1333	1.231
1334	1.317
1335	1.137
1336	0.808
1337	0.7
1338	0.887
1339	0.827
1340	0.496
1341	0.698
1342	1.075
1343	1.2
1344	1.198
1345	0.921
1346	0.702
1347	0.639
1348	1.459
1349	1.087
1350	1.215
1351	0.877
1352	0.703
1353	1.01
1354	0.927
1355	1.326
1356	1.352
1357	1.677
1358	1.427
1359	1.492
1360	0.708
1361	0.974
1362	1.138
1363	0.87
1364	0.794
1365	0.701
1366	0.529
1367	0.634
1368	0.807
1369	0.239
1370	0.557
1371	0.728
1372	0.728
1373	1.585
1374	0.622
1375	0.692
1376	0.558
1377	0.751
1378	0.487
1379	0.419
1380	0.936
1381	1.142
1382	0.768
1383	0.764
1384	0.774
1385	1.024
1386	0.839
1387	0.844
1388	1.21
1389	1.496
1390	1.093
1391	1.474
1392	1.445
1393	1.664
1394	1.9
1395	1.399
1396	1.383
1397	1.352
1398	1.417
1399	1.041
1400	0.882
1401	0.733
1402	0.834
1403	0.954
1404	1.177
1405	0.932
1406	0.824
1407	0.857
1408	1.204
1409	1.284
1410	1.086
1411	1.316
1412	1.018
1413	1.301
1414	1.689
1415	1.112
1416	0.913
1417	1.376
1418	1.196
1419	1.012
1420	1.086
1421	0.707
1422	1.165
1423	0.949
1424	0.942
1425	0.801
1426	1.39
1427	0.785
1428	1.516
1429	1.731
1430	1.144
1431	0.942
1432	1.535
1433	1.001
1434	0.643
1435	0.697
1436	0.752
1437	1.176
1438	1.605
1439	1.597
1440	1.488
1441	0.759
1442	0.724
1443	0.814
1444	0.308
1445	0.555
1446	0.223
1447	0.282
1448	0.9
1449	0.774
1450	0.561
1451	1.151
1452	0.972
1453	1.162
1454	0.649
1455	0.33
1456	0.505
1457	0.345
1458	0.061
1459	0.523
1460	0.34
1461	0.581
1462	0.985
1463	1.124
1464	0.67
1465	0.872
1466	1.069
1467	0.869
1468	0.773
1469	1.089
1470	1.057
1471	0.844
1472	0.505
1473	0.537
1474	0.583
1475	0.706
1476	0.662
1477	0.95
1478	1.094
1479	1.208
1480	1.161
1481	0.598
1482	1.129
1483	1.419
1484	1.42
1485	1.566
1486	1.354
1487	1.417
1488	0.972
1489	0.681
1490	0.894
1491	0.59
1492	0.876
1493	1.145
1494	1.129
1495	1.27
1496	0.711
1497	0.59
1498	1.343
1499	0.727
1500	0.959
1501	0.557
1502	0.79
1503	0.728
1504	0.839
1505	0.521
1506	0.804
1507	1.137
1508	0.389
1509	1.023
1510	0.817
1511	0.631
1512	0.599
1513	0.649
1514	1.011
1515	0.912
1516	0.904
1517	0.944
1518	1.097
1519	1.369
1520	0.937
1521	1.113
1522	1.091
1523	1.169
1524	1.045
1525	0.94
1526	0.77
1527	0.892
1528	0.704
1529	0.508
1530	0.402
1531	0.374
1532	0.348
1533	0.513
1534	0.656
1535	0.422
1536	0.827
1537	0.491
1538	0.923
1539	1.291
1540	1.474
1541	1.434
1542	0.814
1543	1.186
1544	0.977
1545	1.093
1546	0.996
1547	0.884
1548	1.274
1549	0.958
1550	1.359
1551	0.945
1552	1.242
1553	1.723
1554	2.018
1555	1.278
1556	1.068
1557	1.064
1558	0.923
1559	0.955
1560	0.894
1561	0.598
1562	0.883
1563	0.893
1564	0.782
1565	1.014
1566	0.683
1567	0.664
1568	0.812
1569	1.117
1570	1.06
1571	0.653
1572	1.086
1573	0.826
1574	0.287
1575	1.122
1576	1.176
1577	1.459
1578	2.245
1579	0.921
1580	1.638
1581	1.378
1582	1.009
1583	1.265
1584	1.419
1585	1.325
1586	1.908
1587	0.991
1588	1.362
1589	1.169
1590	0.925
1591	0.9
1592	1.357
1593	1.189
1594	1.146
1595	1.341
1596	1.057
1597	0.378
1598	0.548
1599	0.665
1600	0.718
1601	0.672
1602	0.744
1603	1.129
1604	0.943
1605	1.582
1606	1.054
1607	1.706
1608	0.884
1609	1.202
1610	1.499
1611	1.924
1612	2.106
1613	2.085
1614	1.361
1615	1.767
1616	0.973
1617	1.148
1618	1.145
1619	0.788
1620	0.976
1621	0.926
1622	1.118
1623	0.892
1624	1.048
1625	0.674
1626	0.558
1627	0.45
1628	0.876
1629	0.92
1630	1.085
1631	0.886
1632	0.855
1633	0.983
1634	0.635
1635	1.101
1636	1.061
1637	0.968
1638	0.557
1639	1.208
1640	1.205
1641	0.325
1642	0.914
1643	0.916
1644	0.626
1645	0.876
1646	1.163
1647	0.911
1648	0.72
1649	0.761
1650	0.97
1651	0.613
1652	0.566
1653	0.474
1654	0.266
1655	0.486
1656	0.941
1657	0.949
1658	0.734
1659	0.648
1660	0.724
1661	1.202
1662	1.066
1663	0.941
1664	1.041
1665	0.997
1666	0.799
1667	1.291
1668	1.102
1669	0.889
1670	1.009
1671	0.551
1672	0.543
1673	0.751
1674	0.824
1675	0.338
1676	0.763
1677	0.855
1678	1.097
1679	0.946
1680	1.607
1681	0.618
1682	1.014
1683	0.901
1684	0.884
1685	1.205
1686	1.153
1687	1.108
1688	1.437
1689	0.361
1690	1.126
1691	1.015
1692	0.962
1693	1.215
1694	1.088
1695	1.535
1696	0.713
1697	0.52
1698	0.216
1699	0.53
1700	0.784
1701	1.197
1702	1.242
1703	0.966
1704	0.124
1705	0.9
1706	0.9
1707	1.793
1708	0.515
1709	0.579
1710	0.705
1711	1.281
1712	1.331
1713	1.302
1714	0.911
1715	0.674
1716	0.674
1717	1.145
1718	1.557
1719	1.416
1720	0.965
1721	1.233
1722	0.538
1723	1.137
1724	0.939
1725	0.74
1726	1.486
1727	0.635
1728	0.646
1729	1.161
1730	0.298
1731	0.713
1732	0.487
1733	0.764
1734	0.775
1735	0.952
1736	0.486
1737	0.792
1738	0.737
1739	0.816
1740	0.954
1741	0.656
1742	0.791
1743	1.065
1744	1.115
1745	0.75
1746	0.984
1747	1.029
1748	0.858
1749	0.501
1750	0.578
1751	0.756
1752	0.413
1753	0.79
1754	0.536
1755	0.813
1756	0.368
1757	0.679
1758	1.169
1759	1.051
1760	0.822
1761	1.283
1762	0.904
1763	1.05
1764	0.896
1765	0.633
1766	0.689
1767	0.147
1768	0.548
1769	1.131
1770	0.687
1771	1.095
1772	0.541
1773	0.949
1774	1.364
1775	1.097
1776	1.065
1777	0.951
1778	0.539
1779	0.651
1780	0.415
1781	1.066
1782	1.033
1783	0.896
1784	0.226
1785	1.001
1786	0.473
1787	1.548
1788	0.987
1789	0.747
1790	0.879
1791	0.488
1792	1.015
1793	1.208
1794	1.032
1795	1.136
1796	1.348
1797	1.598
1798	1.37
1799	1.518
1800	1.421
1801	0.764
1802	1.321
1803	1.083
1804	0.986
1805	0.634
1806	0.926
1807	0.544
1808	1.072
1809	0.704
1810	1.506
1811	1.525
1812	1.46
1813	1.192
1814	0.849
1815	1.464
1816	0.753
1817	1.222
1818	0.712
1819	1.197
1820	1.065
1821	0.542
1822	0.815
1823	1.085
1824	0.489
1825	0.678
1826	1.329
1827	0.638
1828	0.99
1829	0.984
1830	0.695
1831	0.473
1832	0.592
1833	0.716
1834	0.524
1835	0.639
1836	0.985
1837	0.535
1838	1.036
1839	0.637
1840	0.695
1841	0.501
1842	0.505
1843	0.806
1844	0.235
1845	1.041
1846	0.53
1847	0.924
1848	0.667
1849	1.152
1850	1.042
1851	0.602
1852	0.701
1853	1.31
1854	1.324
1855	0.348
1856	0.555
1857	0.409
1858	1.001
1859	0.878
1860	0.489
1861	1.014
1862	1.046
1863	0.599
1864	0.698
1865	1.362
1866	1.468
1867	2.063
1868	0.994
1869	1.686
1870	2.214
1871	1.678
1872	1.877
1873	1.829
1874	1.264
1875	1.053
1876	1.452
1877	0.835
1878	1.103
1879	0.841
1880	0.963
1881	0.472
1882	0.969
1883	0.774
1884	1.144
1885	0.839
1886	1.012
1887	0.678
1888	1.04
1889	1.319
1890	0.971
1891	0.548
1892	1.065
1893	1.072
1894	0.775
1895	0.807
1896	0.443
1897	0.663
1898	1.079
1899	0.43
1900	0.9
1901	0.55
1902	0.872
1903	1.06
1904	0.839
1905	0.913
1906	1.115
1907	1.336
1908	1.04
1909	1.399
1910	1.433
1911	0.537
1912	1.24
1913	0.923
1914	0.799
1915	0.816
1916	0.814
1917	0.36
1918	0.337
1919	1.169
1920	0.872
1921	0.737
1922	1.513
1923	1.367
1924	0.706
1925	0.693
1926	0.388
1927	1.353
1928	1.418
1929	1.247
1930	0.845
1931	0.853
1932	1.054
1933	1.278
1934	0.511
1935	1.363
1936	0.613
1937	1.12
1938	0.881
1939	1.172
1940	0.704
1941	1.318
1942	1.384
1943	0.561
1944	0.854
1945	1.181
1946	1.585
1947	0.872
1948	1.314
1949	0.909
1950	1.422
1951	1.175
1952	0.793
1953	0.993
1954	1.046
1955	1.314
1956	0.433
1957	1.41
1958	1.348
1959	0.725
1960	0.861
1961	0.655
1962	0.814
1963	0.66
1964	0.478
1965	0.784
1966	0.514
1967	0.93
1968	1.067
1969	0.775
1970	1.226
1971	0.856
1972	1.259
1973	0.838
1974	1.34
1975	1.188
1976	2.055
1977	0.545
1978	1.073
1979	0.695
1980	1.003
1981	1.273
1982	1.175
1983	1.127
1984	1.158
1985	1.009
1986	1.709
1987	1.073
1988	1.183