ÃÂ¯ÃÂ»ÃÂ¿# africa_morc014 - Col du Zad - 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/4970
#
# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: africa_morc014 - Col du Zad - 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: Col du Zad
#	Location:
#	Country: Morocco
#	Northernmost_Latitude: 33.02
#	Southernmost_Latitude: 33.02
#	Easternmost_Longitude: -5.07
#	Westernmost_Longitude: -5.07
#	Elevation: 2200 m
#--------------------
# Data_Collection
#	Collection_Name: africa_morc014B
#	Earliest_Year: 984
#	Most_Recent_Year: 1984
#	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":"4.90472794693","T2":"17.7159168449","M1":"0.0228999981046","M2":"0.471210698779"}}
#--------------------
# Species
#	Species_Name: Atlantic cedar
#	Species_Code: CDAT
#--------------------
# 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
984	1.076
985	1.045
986	0.982
987	1.143
988	0.777
989	0.804
990	0.811
991	0.858
992	0.755
993	0.806
994	1.197
995	1.458
996	1.337
997	1.41
998	1.261
999	1.128
1000	1.081
1001	1.178
1002	1.06
1003	0.884
1004	0.933
1005	0.915
1006	0.93
1007	0.894
1008	0.748
1009	0.632
1010	0.724
1011	0.896
1012	0.936
1013	1.138
1014	1.093
1015	0.597
1016	0.678
1017	0.768
1018	0.914
1019	1.231
1020	1.108
1021	0.737
1022	1.145
1023	1.116
1024	1.075
1025	0.934
1026	1.023
1027	1.256
1028	1.13
1029	0.91
1030	1.304
1031	1.241
1032	1.173
1033	1.251
1034	0.933
1035	1.142
1036	1.407
1037	1.048
1038	0.886
1039	1.054
1040	0.994
1041	1.48
1042	1.078
1043	1.089
1044	1.377
1045	0.928
1046	0.834
1047	1.167
1048	0.81
1049	0.879
1050	0.861
1051	1.005
1052	1.154
1053	1
1054	0.525
1055	0.745
1056	0.699
1057	1.102
1058	0.92
1059	0.91
1060	0.692
1061	0.901
1062	0.988
1063	1.271
1064	1.1
1065	1.439
1066	1.373
1067	1.23
1068	0.802
1069	0.508
1070	0.583
1071	0.182
1072	0.641
1073	0.699
1074	0.677
1075	0.943
1076	0.477
1077	1.344
1078	1.23
1079	0.971
1080	1.394
1081	1.145
1082	0.903
1083	1.08
1084	1.01
1085	1.314
1086	0.913
1087	0.655
1088	0.748
1089	0.906
1090	1.103
1091	0.475
1092	1.474
1093	1.045
1094	1.343
1095	1.377
1096	1.335
1097	1.189
1098	0.957
1099	1.299
1100	1.558
1101	1.459
1102	1.173
1103	0.803
1104	0.977
1105	0.87
1106	1.339
1107	1.024
1108	1.243
1109	1.006
1110	1.619
1111	1.125
1112	1.13
1113	1.173
1114	0.773
1115	0.492
1116	1.143
1117	0.243
1118	0.123
1119	1.486
1120	0.913
1121	1.283
1122	1.043
1123	1.339
1124	1.114
1125	0.997
1126	0.16
1127	0.504
1128	0.862
1129	0.821
1130	1.228
1131	1.248
1132	1.227
1133	1.103
1134	1.093
1135	0.922
1136	1.137
1137	2.22
1138	1.372
1139	1.859
1140	1.228
1141	0.539
1142	0.765
1143	0.646
1144	0.863
1145	0.8
1146	0.787
1147	0.645
1148	0.875
1149	0.881
1150	1.054
1151	0.106
1152	0.975
1153	1.053
1154	1.086
1155	1.035
1156	1.077
1157	1.338
1158	0.435
1159	1.481
1160	1.322
1161	0.795
1162	1.088
1163	0.654
1164	0.257
1165	0.765
1166	0.927
1167	1.287
1168	1.213
1169	1.022
1170	1.18
1171	1.368
1172	1.161
1173	1.355
1174	1.405
1175	1.435
1176	1.189
1177	1.367
1178	1.023
1179	0.791
1180	1.273
1181	1.053
1182	0.992
1183	1.258
1184	1.189
1185	0.936
1186	0.547
1187	0.719
1188	0.683
1189	0.903
1190	1.001
1191	0.88
1192	1.011
1193	1.23
1194	1.103
1195	1.479
1196	1.208
1197	1.042
1198	0.445
1199	0.575
1200	0.941
1201	1.528
1202	1.319
1203	1.204
1204	1.337
1205	1.74
1206	0.919
1207	1.562
1208	1.127
1209	1.484
1210	1.241
1211	0.779
1212	0.987
1213	0.782
1214	1.036
1215	0.443
1216	0.394
1217	0.656
1218	0.549
1219	0.91
1220	0.362
1221	0.769
1222	0.947
1223	0.739
1224	0.628
1225	0.781
1226	0.619
1227	0.831
1228	0.942
1229	0.948
1230	0.993
1231	1.102
1232	1.19
1233	0.869
1234	0.895
1235	1.17
1236	1.227
1237	0.461
1238	0.74
1239	0.798
1240	0.927
1241	1.125
1242	0.784
1243	0.571
1244	0.994
1245	1.143
1246	0.681
1247	0.787
1248	0.889
1249	0.524
1250	1.103
1251	0.901
1252	0.786
1253	0.593
1254	0.665
1255	0.58
1256	0.484
1257	0.647
1258	0.595
1259	0.758
1260	0.8
1261	0.79
1262	0.627
1263	0.645
1264	0.525
1265	0.701
1266	0.667
1267	1.049
1268	1.157
1269	1.094
1270	1.103
1271	0.752
1272	0.897
1273	0.819
1274	0.707
1275	0.73
1276	0.732
1277	0.877
1278	0.582
1279	0.464
1280	0.757
1281	0.641
1282	0.971
1283	0.879
1284	1.213
1285	0.927
1286	1.516
1287	1.337
1288	1.039
1289	1.117
1290	1.123
1291	1.049
1292	0.869
1293	0.557
1294	0.666
1295	0.626
1296	0.827
1297	0.852
1298	0.615
1299	0.389
1300	0.514
1301	0.942
1302	0.932
1303	0.911
1304	1.159
1305	1.391
1306	1.069
1307	1.027
1308	0.998
1309	0.486
1310	0.834
1311	0.691
1312	0.624
1313	0.606
1314	1.002
1315	0.842
1316	0.706
1317	0.897
1318	0.936
1319	0.79
1320	0.659
1321	0.613
1322	0.586
1323	0.775
1324	0.365
1325	1.22
1326	0.926
1327	0.908
1328	1.024
1329	1.325
1330	1.457
1331	1.668
1332	1.736
1333	1.116
1334	0.741
1335	0.425
1336	0.982
1337	0.678
1338	0.979
1339	0.856
1340	0.785
1341	0.595
1342	0.765
1343	1.023
1344	1.047
1345	0.991
1346	0.833
1347	0.661
1348	0.573
1349	0.831
1350	0.753
1351	0.699
1352	0.613
1353	0.923
1354	0.835
1355	0.487
1356	0.595
1357	0.648
1358	0.701
1359	0.477
1360	0.604
1361	0.67
1362	0.943
1363	0.72
1364	0.909
1365	0.965
1366	0.847
1367	0.926
1368	1.232
1369	0.945
1370	0.808
1371	0.77
1372	0.817
1373	0.985
1374	1.266
1375	1.013
1376	-0.023
1377	1.203
1378	1.036
1379	0.628
1380	1.393
1381	1.248
1382	0.972
1383	0.968
1384	1.08
1385	0.937
1386	0.081
1387	0.762
1388	0.951
1389	0.835
1390	0.969
1391	0.889
1392	1.294
1393	1.235
1394	1.176
1395	0.674
1396	1.126
1397	1.192
1398	1.342
1399	1.392
1400	0.719
1401	0.826
1402	0.704
1403	0.731
1404	0.38
1405	0.314
1406	0.388
1407	0.541
1408	0.754
1409	0.718
1410	0.703
1411	0.883
1412	1.092
1413	0.468
1414	0.895
1415	-0.025
1416	1.026
1417	0.938
1418	1.112
1419	1.202
1420	1.258
1421	1.163
1422	0.895
1423	1.093
1424	0.897
1425	1.173
1426	0.999
1427	1.155
1428	1.029
1429	1.052
1430	0.956
1431	1.234
1432	1.357
1433	1.325
1434	1.275
1435	1.704
1436	1.585
1437	1.281
1438	0.954
1439	1.115
1440	1.056
1441	1.419
1442	1.341
1443	1.405
1444	1.553
1445	1.157
1446	1.296
1447	1.608
1448	1.834
1449	1.203
1450	1.325
1451	1.507
1452	1.845
1453	1.637
1454	1.419
1455	1.307
1456	0.918
1457	0.854
1458	1.098
1459	0.924
1460	1.148
1461	1.529
1462	1.365
1463	1.156
1464	1.413
1465	1.124
1466	1.345
1467	1.092
1468	0.158
1469	0.352
1470	0.867
1471	1.062
1472	1.137
1473	1.027
1474	1.018
1475	1.408
1476	1.422
1477	1.126
1478	1.014
1479	0.785
1480	0.985
1481	1.067
1482	1.079
1483	0.897
1484	0.966
1485	0.934
1486	1.182
1487	1.005
1488	1.139
1489	1.358
1490	1.137
1491	1.268
1492	1.304
1493	0.771
1494	1.25
1495	1.197
1496	0.919
1497	0.967
1498	0.909
1499	1.299
1500	0.804
1501	1.183
1502	0.936
1503	1.155
1504	1.133
1505	0.955
1506	0.994
1507	1.099
1508	0.871
1509	0.816
1510	0.917
1511	1.184
1512	0.906
1513	1.242
1514	1.193
1515	0.884
1516	1.119
1517	1.082
1518	1.268
1519	1.414
1520	1.336
1521	0.329
1522	0.938
1523	0.986
1524	0.89
1525	0.267
1526	0.4
1527	0.782
1528	0.736
1529	0.449
1530	0.839
1531	0.797
1532	0.927
1533	0.904
1534	1.071
1535	0.868
1536	0.952
1537	1.113
1538	0.803
1539	0.961
1540	1.23
1541	1.114
1542	0.847
1543	1.161
1544	1.075
1545	0.362
1546	0.758
1547	1.034
1548	0.956
1549	0.758
1550	0.904
1551	0.892
1552	0.926
1553	1.213
1554	1.325
1555	1.106
1556	1.392
1557	1.125
1558	1.045
1559	1.487
1560	1.07
1561	1.374
1562	1.323
1563	1.186
1564	1.577
1565	1.37
1566	1.3
1567	1.548
1568	1.28
1569	1.18
1570	1.136
1571	1.095
1572	1.006
1573	1.203
1574	0.853
1575	1.061
1576	0.994
1577	1.219
1578	1.196
1579	0.823
1580	1
1581	1.075
1582	1.127
1583	1.131
1584	1.27
1585	1.109
1586	1.08
1587	1.029
1588	1.002
1589	0.797
1590	1.076
1591	0.901
1592	1
1593	0.849
1594	1.041
1595	1.013
1596	1.002
1597	0.873
1598	1.113
1599	1.393
1600	0.901
1601	1.171
1602	1.234
1603	0.956
1604	1.136
1605	0.728
1606	0.97
1607	0.753
1608	0.998
1609	0.933
1610	1.111
1611	0.948
1612	1.365
1613	0.323
1614	0.848
1615	0.754
1616	0.531
1617	0.703
1618	0.847
1619	0.904
1620	0.795
1621	0.778
1622	0.745
1623	0.764
1624	1.025
1625	0.801
1626	0.345
1627	0.589
1628	0.352
1629	0.445
1630	0.46
1631	0.574
1632	0.794
1633	0.933
1634	0.958
1635	0.529
1636	1.059
1637	0.715
1638	0.303
1639	0.534
1640	0.821
1641	1.14
1642	1.023
1643	1.091
1644	1.195
1645	1.08
1646	1.217
1647	0.83
1648	0.577
1649	0.405
1650	0.804
1651	1.028
1652	1.048
1653	1.13
1654	0.97
1655	0.877
1656	0.743
1657	0.813
1658	0.886
1659	1.043
1660	0.775
1661	0.35
1662	0.921
1663	0.989
1664	0.976
1665	1.127
1666	1.176
1667	1.101
1668	1.097
1669	1.304
1670	1.638
1671	1.347
1672	1.118
1673	1.121
1674	0.691
1675	0.318
1676	0.585
1677	0.854
1678	0.973
1679	1.071
1680	0.712
1681	1.22
1682	0.977
1683	0.171
1684	1.184
1685	1.059
1686	1.234
1687	0.654
1688	0.924
1689	0.822
1690	0.873
1691	0.911
1692	1.147
1693	0.224
1694	0.601
1695	0.617
1696	0.647
1697	0.497
1698	0.6
1699	0.745
1700	0.845
1701	0.89
1702	0.865
1703	0.865
1704	1.087
1705	1.163
1706	1.348
1707	1.546
1708	1.302
1709	1.243
1710	1.15
1711	1.156
1712	0.942
1713	0.76
1714	0.645
1715	0.508
1716	0.332
1717	0.592
1718	0.754
1719	0.97
1720	1.041
1721	1.042
1722	1.098
1723	1.519
1724	1.323
1725	1.209
1726	1.61
1727	1.666
1728	1.359
1729	1.162
1730	1.269
1731	0.188
1732	0.651
1733	0.992
1734	0.156
1735	0.841
1736	0.909
1737	0.785
1738	0.382
1739	0.861
1740	1.08
1741	1.154
1742	1.028
1743	1.293
1744	0.867
1745	1.127
1746	0.892
1747	0.684
1748	0.793
1749	0.918
1750	1.015
1751	1.28
1752	1.456
1753	1.148
1754	1.375
1755	0.519
1756	1.01
1757	1.427
1758	1.295
1759	0.891
1760	1.307
1761	1.244
1762	1.462
1763	1.502
1764	1.313
1765	1.057
1766	1.294
1767	1.574
1768	1.124
1769	1.358
1770	0.702
1771	1.179
1772	0.682
1773	0.933
1774	0.988
1775	1.232
1776	0.99
1777	0.968
1778	1.008
1779	0.738
1780	0.972
1781	0.799
1782	1.196
1783	1.181
1784	1.453
1785	1.717
1786	1.773
1787	1.806
1788	2.012
1789	1.508
1790	1.163
1791	0.811
1792	0.964
1793	0.872
1794	0.427
1795	0.521
1796	0.672
1797	0.646
1798	0.6
1799	0.758
1800	0.707
1801	0.542
1802	0.646
1803	0.807
1804	0.917
1805	0.849
1806	0.577
1807	0.873
1808	1.014
1809	1.057
1810	0.981
1811	1.026
1812	0.906
1813	1.122
1814	1.228
1815	1.254
1816	1.273
1817	0.863
1818	1.104
1819	1.202
1820	0.928
1821	0.804
1822	0.981
1823	1.027
1824	0.761
1825	0.927
1826	1.178
1827	1.233
1828	1.025
1829	1.105
1830	1.261
1831	1.382
1832	1.478
1833	1.581
1834	0.995
1835	1.656
1836	1.236
1837	1.43
1838	1.301
1839	1.224
1840	1.036
1841	1.151
1842	0.797
1843	0.93
1844	0.516
1845	0.85
1846	0.948
1847	0.941
1848	0.895
1849	0.997
1850	0.81
1851	1.033
1852	1.126
1853	1.225
1854	1.197
1855	1.427
1856	1.331
1857	1.189
1858	0.934
1859	0.973
1860	0.687
1861	0.471
1862	0.521
1863	0.722
1864	0.806
1865	0.716
1866	0.556
1867	0.585
1868	0.888
1869	0.987
1870	1.12
1871	1.19
1872	1.242
1873	1.232
1874	1.035
1875	1.42
1876	1.361
1877	1.032
1878	0.296
1879	0.553
1880	1.007
1881	0.948
1882	0.264
1883	0.995
1884	1.167
1885	0.984
1886	0.992
1887	0.744
1888	1.039
1889	0.957
1890	0.793
1891	0.727
1892	0.656
1893	0.77
1894	0.942
1895	0.757
1896	0.842
1897	0.845
1898	0.919
1899	0.805
1900	1.049
1901	0.343
1902	0.915
1903	0.881
1904	0.777
1905	0.606
1906	0.763
1907	0.869
1908	0.871
1909	0.783
1910	0.854
1911	1.071
1912	1.107
1913	0.786
1914	0.804
1915	0.789
1916	0.96
1917	0.799
1918	0.769
1919	0.781
1920	1.021
1921	1.178
1922	1.253
1923	1.174
1924	1.331
1925	1.289
1926	1.288
1927	1.416
1928	1.52
1929	0.908
1930	1.218
1931	1.155
1932	1.275
1933	0.632
1934	0.74
1935	0.919
1936	1.154
1937	0.845
1938	1.11
1939	1.067
1940	0.972
1941	1.381
1942	1.333
1943	1.564
1944	1.511
1945	0.631
1946	1.437
1947	1.516
1948	1.42
1949	0.559
1950	0.515
1951	0.733
1952	0.858
1953	0.804
1954	0.969
1955	0.958
1956	0.858
1957	0.194
1958	0.621
1959	0.466
1960	0.969
1961	0.743
1962	1.016
1963	1.467
1964	1.186
1965	1.258
1966	1.265
1967	1.154
1968	1.275
1969	1.622
1970	1.216
1971	0.373
1972	0.658
1973	0.937
1974	0.901
1975	0.744
1976	0.709
1977	0.773
1978	1.147
1979	0.475
1980	0.178
1981	0.244
1982	0.657
1983	0.407
1984	0.479