ÃÂ¯ÃÂ»ÃÂ¿# northamerica_usa_co547 - Rainbow Curve - 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/3398
#
# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: northamerica_usa_co547 - Rainbow Curve - 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: Rainbow Curve
#	Location:
#	Country: United States
#	Northernmost_Latitude: 40.4
#	Southernmost_Latitude: 40.4
#	Easternmost_Longitude: -105.67
#	Westernmost_Longitude: -105.67
#	Elevation: 3352 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_co547B
#	Earliest_Year: 1063
#	Most_Recent_Year: 1987
#	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":"4.69038132361","T2":"14.1162331486","M1":"0.0231931781514","M2":"0.534637125978"}}
#--------------------
# Species
#	Species_Name: limber pine
#	Species_Code: PIFL
#--------------------
# 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
1063	0.732
1064	0.918
1065	0.983
1066	0.869
1067	0.802
1068	1.034
1069	1.012
1070	1.102
1071	0.972
1072	1.167
1073	0.915
1074	0.902
1075	0.91
1076	0.962
1077	0.934
1078	0.859
1079	0.912
1080	0.834
1081	1.187
1082	1.295
1083	1.105
1084	0.992
1085	1.3
1086	1.169
1087	1.248
1088	1.51
1089	1.393
1090	0.891
1091	1.005
1092	1.049
1093	1.113
1094	1.215
1095	1.026
1096	0.986
1097	0.915
1098	0.765
1099	0.908
1100	0.933
1101	1.03
1102	1.037
1103	1.033
1104	1.102
1105	1.088
1106	1.18
1107	1.069
1108	0.979
1109	0.897
1110	0.957
1111	0.984
1112	1.146
1113	1.118
1114	1.102
1115	0.844
1116	0.98
1117	1.007
1118	0.98
1119	0.934
1120	0.891
1121	0.704
1122	1.115
1123	1.145
1124	0.967
1125	1.052
1126	1.117
1127	1.222
1128	1.37
1129	1.568
1130	1.07
1131	0.853
1132	0.863
1133	0.936
1134	0.973
1135	1.077
1136	1.05
1137	1.333
1138	1.076
1139	0.857
1140	1.025
1141	1.137
1142	0.852
1143	0.81
1144	0.851
1145	0.986
1146	1.047
1147	0.899
1148	0.777
1149	0.847
1150	0.864
1151	0.954
1152	1.059
1153	0.957
1154	0.84
1155	0.914
1156	1.3
1157	1.815
1158	1.787
1159	1.151
1160	1.194
1161	1.209
1162	0.917
1163	1.017
1164	1.137
1165	0.867
1166	1.07
1167	0.994
1168	1.055
1169	0.94
1170	1.11
1171	1.151
1172	1.304
1173	1.298
1174	1.168
1175	1.128
1176	1.011
1177	1.111
1178	0.958
1179	1.025
1180	0.869
1181	0.927
1182	0.719
1183	0.737
1184	0.822
1185	0.766
1186	0.827
1187	0.796
1188	0.929
1189	0.87
1190	0.998
1191	0.977
1192	0.956
1193	1.126
1194	0.989
1195	0.797
1196	0.993
1197	0.939
1198	1.087
1199	1.126
1200	1
1201	1.224
1202	0.935
1203	0.887
1204	0.936
1205	0.868
1206	0.895
1207	0.966
1208	0.919
1209	0.792
1210	0.832
1211	0.949
1212	0.787
1213	0.67
1214	0.65
1215	0.745
1216	0.725
1217	0.575
1218	0.609
1219	0.715
1220	0.85
1221	0.833
1222	0.92
1223	0.994
1224	0.932
1225	0.896
1226	0.887
1227	1.073
1228	0.839
1229	0.767
1230	0.833
1231	0.946
1232	0.817
1233	0.552
1234	0.682
1235	0.735
1236	0.783
1237	0.743
1238	0.817
1239	0.85
1240	0.75
1241	0.737
1242	0.748
1243	0.854
1244	0.803
1245	0.904
1246	1.05
1247	0.91
1248	0.857
1249	0.781
1250	0.785
1251	0.826
1252	0.953
1253	1.084
1254	0.971
1255	1.013
1256	1.118
1257	1.18
1258	0.577
1259	1.008
1260	1.173
1261	1.119
1262	0.898
1263	0.96
1264	1.039
1265	1.096
1266	1.029
1267	1.178
1268	0.99
1269	1.173
1270	1.529
1271	1.207
1272	1.401
1273	1.439
1274	1.295
1275	1.207
1276	1.3
1277	1.439
1278	1.145
1279	1.342
1280	0.963
1281	0.954
1282	1.144
1283	0.969
1284	1.042
1285	1.007
1286	1.291
1287	0.92
1288	0.993
1289	1.205
1290	1.308
1291	1.161
1292	1.149
1293	0.94
1294	0.732
1295	0.975
1296	0.877
1297	0.822
1298	0.962
1299	0.684
1300	0.881
1301	0.761
1302	0.696
1303	0.762
1304	0.578
1305	0.719
1306	0.644
1307	0.769
1308	1.01
1309	0.889
1310	1
1311	1.038
1312	0.826
1313	1.072
1314	1.113
1315	1.024
1316	0.966
1317	1.1
1318	0.898
1319	1.052
1320	0.952
1321	1.062
1322	1.27
1323	1.056
1324	1.036
1325	1.16
1326	1.01
1327	1.035
1328	1.189
1329	1.047
1330	0.646
1331	1.013
1332	1.162
1333	0.809
1334	0.633
1335	0.429
1336	0.391
1337	0.571
1338	0.561
1339	0.737
1340	0.669
1341	0.53
1342	0.563
1343	0.538
1344	0.454
1345	0.588
1346	0.53
1347	0.621
1348	0.648
1349	0.65
1350	0.651
1351	0.699
1352	0.675
1353	0.85
1354	0.682
1355	0.792
1356	0.853
1357	0.76
1358	0.958
1359	0.958
1360	0.651
1361	0.8
1362	0.863
1363	0.888
1364	0.899
1365	1.139
1366	1.265
1367	1.079
1368	1.474
1369	1.308
1370	1.278
1371	1.409
1372	1.412
1373	1.364
1374	1.545
1375	1.185
1376	1.285
1377	1.343
1378	1.111
1379	1.016
1380	0.918
1381	0.962
1382	0.752
1383	1.085
1384	1.002
1385	1.081
1386	1.089
1387	1.127
1388	1.099
1389	1.15
1390	0.96
1391	1.184
1392	1.192
1393	0.951
1394	1.061
1395	1.2
1396	1.137
1397	0.979
1398	0.902
1399	0.497
1400	0.863
1401	0.993
1402	1.067
1403	1.258
1404	1.455
1405	1.185
1406	1.331
1407	1.071
1408	0.858
1409	1.129
1410	0.976
1411	0.889
1412	1.084
1413	0.785
1414	0.911
1415	1.004
1416	0.881
1417	0.828
1418	0.86
1419	0.996
1420	1.127
1421	0.759
1422	0.914
1423	0.992
1424	1.085
1425	1.236
1426	1.427
1427	1.333
1428	1.441
1429	1.285
1430	1.383
1431	1.629
1432	1.655
1433	1.641
1434	1.509
1435	1.539
1436	1.485
1437	1.09
1438	1.044
1439	1.048
1440	1.359
1441	1.163
1442	1.185
1443	1.343
1444	1.119
1445	1.019
1446	1.091
1447	1.102
1448	1.075
1449	1.033
1450	1.109
1451	1.421
1452	1.134
1453	0.89
1454	0.991
1455	1.042
1456	0.937
1457	0.851
1458	0.692
1459	0.766
1460	0.869
1461	0.96
1462	1.014
1463	1.098
1464	0.867
1465	0.944
1466	0.757
1467	0.872
1468	0.8
1469	0.765
1470	0.847
1471	0.738
1472	0.909
1473	0.866
1474	1.078
1475	0.728
1476	0.815
1477	0.774
1478	0.886
1479	0.879
1480	0.673
1481	0.905
1482	0.768
1483	0.847
1484	0.876
1485	0.938
1486	1.015
1487	0.736
1488	0.618
1489	0.635
1490	0.756
1491	0.642
1492	0.676
1493	0.71
1494	0.542
1495	0.535
1496	0.328
1497	0.59
1498	0.601
1499	0.659
1500	0.607
1501	0.544
1502	0.798
1503	0.897
1504	0.898
1505	0.624
1506	0.855
1507	1.044
1508	0.922
1509	1.389
1510	1.342
1511	1.407
1512	1.016
1513	1.171
1514	1.207
1515	1.193
1516	1.159
1517	1.051
1518	1.153
1519	1.227
1520	1.233
1521	1.242
1522	0.937
1523	1.004
1524	1.086
1525	1.195
1526	1.266
1527	1.111
1528	0.81
1529	1.135
1530	1.025
1531	0.943
1532	1.07
1533	1.128
1534	1.195
1535	1.345
1536	1.278
1537	1.126
1538	0.818
1539	1.18
1540	1.057
1541	1.091
1542	1.078
1543	0.944
1544	1.076
1545	1.159
1546	1.053
1547	0.836
1548	1
1549	0.931
1550	0.85
1551	0.941
1552	0.77
1553	0.899
1554	1.015
1555	0.951
1556	0.919
1557	0.932
1558	1.104
1559	0.858
1560	0.993
1561	0.767
1562	1.007
1563	0.971
1564	1.203
1565	1.144
1566	1.187
1567	0.945
1568	1.134
1569	1.024
1570	0.955
1571	0.721
1572	0.955
1573	0.961
1574	1.145
1575	1.014
1576	1.059
1577	0.981
1578	0.99
1579	0.85
1580	1.018
1581	0.772
1582	0.991
1583	1.281
1584	0.772
1585	0.891
1586	0.921
1587	1.034
1588	1.26
1589	1.102
1590	0.994
1591	0.919
1592	0.937
1593	1.099
1594	1.362
1595	1.409
1596	1.339
1597	1.658
1598	1.279
1599	1.15
1600	1.253
1601	1.239
1602	1.52
1603	1.385
1604	1.327
1605	1.359
1606	1.204
1607	1.226
1608	1.309
1609	1.111
1610	1.03
1611	1.271
1612	0.953
1613	1.041
1614	1.154
1615	1.111
1616	1.001
1617	1.299
1618	1.039
1619	1.498
1620	1.204
1621	1.139
1622	0.929
1623	1.063
1624	0.909
1625	0.848
1626	1.044
1627	0.756
1628	1.013
1629	1.085
1630	1.072
1631	0.84
1632	0.929
1633	0.887
1634	1.13
1635	0.953
1636	1.125
1637	1.356
1638	1.323
1639	1.293
1640	1.271
1641	1.124
1642	1.048
1643	1.178
1644	1.086
1645	0.81
1646	0.858
1647	1.077
1648	1.125
1649	1.037
1650	0.773
1651	0.921
1652	0.997
1653	1.101
1654	0.582
1655	1.102
1656	1.041
1657	1.181
1658	1.149
1659	1.178
1660	1.198
1661	1.214
1662	1.2
1663	1.097
1664	0.819
1665	0.825
1666	0.727
1667	0.816
1668	0.761
1669	0.765
1670	0.777
1671	0.918
1672	0.69
1673	0.918
1674	0.814
1675	0.758
1676	0.969
1677	0.812
1678	0.832
1679	1.043
1680	0.797
1681	0.835
1682	1.006
1683	0.847
1684	0.691
1685	0.596
1686	0.636
1687	0.499
1688	0.686
1689	0.921
1690	1.007
1691	0.83
1692	0.942
1693	0.912
1694	0.779
1695	0.947
1696	0.781
1697	0.844
1698	0.824
1699	0.717
1700	0.757
1701	0.919
1702	0.767
1703	0.565
1704	0.494
1705	0.644
1706	0.528
1707	0.57
1708	0.502
1709	0.478
1710	0.812
1711	0.686
1712	0.938
1713	0.696
1714	0.695
1715	0.803
1716	0.748
1717	0.724
1718	0.866
1719	0.86
1720	1.024
1721	0.931
1722	0.957
1723	0.775
1724	0.813
1725	0.905
1726	1.089
1727	0.811
1728	0.503
1729	0.641
1730	0.772
1731	0.841
1732	0.853
1733	0.968
1734	1.075
1735	0.754
1736	0.901
1737	0.984
1738	1.125
1739	1.063
1740	1.005
1741	1.03
1742	0.68
1743	0.996
1744	0.901
1745	0.871
1746	1.183
1747	1.238
1748	0.919
1749	1.076
1750	1.148
1751	1.041
1752	0.962
1753	1.041
1754	0.992
1755	1.027
1756	1.028
1757	0.961
1758	0.988
1759	1.28
1760	1.155
1761	1.046
1762	1.392
1763	1.173
1764	0.817
1765	1.079
1766	0.999
1767	0.979
1768	0.814
1769	0.771
1770	0.646
1771	1.173
1772	1.031
1773	0.99
1774	1.15
1775	0.925
1776	1.127
1777	1.254
1778	1.156
1779	1.041
1780	1.383
1781	1.404
1782	1.102
1783	1.119
1784	1.308
1785	1.208
1786	1.058
1787	1.079
1788	1.23
1789	1.23
1790	1.097
1791	0.827
1792	1.071
1793	0.917
1794	0.955
1795	1.243
1796	1.051
1797	1.141
1798	1.329
1799	1.165
1800	0.987
1801	1.281
1802	1.392
1803	0.956
1804	0.993
1805	0.825
1806	0.875
1807	0.984
1808	1.023
1809	0.928
1810	1.099
1811	1.122
1812	1.2
1813	1.086
1814	1.124
1815	1.056
1816	0.995
1817	1.212
1818	0.958
1819	1.089
1820	0.841
1821	0.903
1822	0.955
1823	1.094
1824	0.661
1825	1.15
1826	1.07
1827	1.219
1828	1.302
1829	1.031
1830	1.141
1831	1.438
1832	1.068
1833	1.118
1834	0.905
1835	1.357
1836	0.876
1837	1.034
1838	0.651
1839	0.609
1840	0.685
1841	0.788
1842	0.716
1843	1.097
1844	0.75
1845	0.599
1846	0.669
1847	0.581
1848	0.58
1849	0.785
1850	0.892
1851	0.614
1852	0.862
1853	0.809
1854	0.854
1855	0.97
1856	0.804
1857	0.768
1858	0.92
1859	1.169
1860	1.202
1861	1.202
1862	1.233
1863	0.999
1864	1.049
1865	0.651
1866	1.214
1867	0.913
1868	0.86
1869	0.985
1870	0.954
1871	0.925
1872	0.899
1873	0.967
1874	1.082
1875	0.904
1876	1.089
1877	1.066
1878	1.044
1879	0.915
1880	0.902
1881	0.942
1882	0.807
1883	0.692
1884	0.821
1885	0.997
1886	0.932
1887	0.761
1888	1.111
1889	1.267
1890	0.998
1891	0.939
1892	1.177
1893	0.96
1894	1.2
1895	1.161
1896	1.101
1897	1.333
1898	1.327
1899	0.991
1900	0.99
1901	1.109
1902	1.109
1903	1.191
1904	1.098
1905	1.291
1906	1.166
1907	1.418
1908	1.265
1909	1.275
1910	0.985
1911	1.317
1912	1.544
1913	1.177
1914	1.38
1915	1.073
1916	1.09
1917	1.061
1918	0.924
1919	0.91
1920	1.152
1921	1.18
1922	1.288
1923	1.224
1924	0.975
1925	0.873
1926	1.063
1927	1.308
1928	1.356
1929	1.436
1930	1.037
1931	1.133
1932	1.189
1933	1.037
1934	0.984
1935	1.03
1936	0.855
1937	1.033
1938	0.92
1939	0.897
1940	1.025
1941	0.739
1942	0.877
1943	0.945
1944	0.769
1945	0.74
1946	0.818
1947	1.051
1948	0.911
1949	0.808
1950	0.696
1951	0.981
1952	0.812
1953	0.915
1954	0.759
1955	0.893
1956	0.836
1957	1.067
1958	0.946
1959	1.013
1960	0.844
1961	1.017
1962	0.799
1963	0.985
1964	0.906
1965	0.897
1966	0.967
1967	0.913
1968	0.752
1969	0.813
1970	0.52
1971	0.365
1972	0.512
1973	0.545
1974	0.65
1975	0.606
1976	0.587
1977	0.567
1978	0.744
1979	0.605
1980	0.777
1981	1.166
1982	1.014
1983	1.08
1984	1.259
1985	1.29
1986	1.063
1987	1.096