# southamerica_arge088 - RÃÂ­o alerce cypress - 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/5183
#
# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: southamerica_arge088 - RÃÂ­o alerce cypress - 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: RÃÂ­o alerce cypress
#	Location:
#	Country: Argentina
#	Northernmost_Latitude: -41.17
#	Southernmost_Latitude: -41.17
#	Easternmost_Longitude: -71.78
#	Westernmost_Longitude: -71.78
#	Elevation: 950 m
#--------------------
# Data_Collection
#	Collection_Name: southamerica_arge088B
#	Earliest_Year: 864
#	Most_Recent_Year: 1991
#	Time_Unit: y_ad
#	Core_Length:
#	Notes: {"database":{"database1":"LMR","database2":"Breits"}} {"climateInterpretation":{"basis":"", "climateVariable":"T", "climateVariableDetail":"air", "interpDirection":"positive", "seasonality":"[-12, 1, 2]"}}{"VSLite_parameters":{"T1":"2.42623572192","T2":"11.5653338053","M1":"0.0230697632061","M2":"0.60410228878"}}
#--------------------
# Species
#	Species_Name: alerce cypress
#	Species_Code: FICU
#--------------------
# 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
864	0.563
865	0.587
866	0.692
867	0.514
868	0.458
869	0.587
870	0.74
871	0.692
872	0.781
873	0.611
874	0.466
875	0.676
876	0.554
877	0.458
878	0.482
879	0.312
880	0.409
881	0.474
882	0.466
883	0.441
884	0.595
885	0.474
886	0.457
887	0.417
888	0.53
889	0.7
890	1.031
891	1.435
892	1.637
893	1.677
894	1.443
895	1.112
896	1.088
897	1.34
898	1.31
899	1.395
900	1.265
901	1.5
902	1.329
903	1.346
904	1.629
905	1.557
906	1.481
907	1.351
908	1.389
909	1.345
910	1.315
911	1.33
912	1.484
913	1.087
914	0.98
915	0.716
916	1.039
917	1.386
918	1.319
919	1.201
920	1.335
921	1.274
922	1.413
923	1.459
924	1.104
925	1.077
926	1.091
927	1.336
928	1.16
929	1.077
930	1.685
931	1.362
932	1.685
933	2.081
934	1.669
935	1.54
936	1.305
937	1.322
938	1.135
939	1.478
940	1.29
941	1.273
942	1.428
943	1.123
944	1.239
945	1.291
946	1.669
947	1.515
948	1.36
949	1.296
950	1.108
951	0.988
952	1.005
953	0.747
954	0.764
955	1.054
956	1.113
957	1.057
958	0.954
959	0.903
960	0.77
961	0.81
962	0.938
963	1.058
964	1.38
965	1.38
966	1.213
967	1.408
968	1.278
969	1.602
970	1.575
971	1.325
972	1.519
973	1.51
974	1.213
975	1.26
976	0.871
977	0.93
978	1.056
979	1.011
980	1.003
981	0.643
982	0.95
983	0.914
984	1.077
985	1.142
986	1.078
987	1.088
988	0.879
989	0.813
990	0.865
991	1.047
992	1.214
993	1.3
994	0.928
995	0.992
996	0.706
997	0.792
998	0.815
999	0.828
1000	0.705
1001	0.809
1002	0.757
1003	1.157
1004	0.976
1005	0.852
1006	1.404
1007	1.269
1008	1.093
1009	1
1010	0.958
1011	0.8
1012	0.722
1013	0.741
1014	0.722
1015	0.705
1016	0.685
1017	0.889
1018	0.958
1019	1.109
1020	0.831
1021	0.982
1022	1.055
1023	0.995
1024	0.824
1025	0.781
1026	0.611
1027	0.725
1028	0.787
1029	1.028
1030	0.985
1031	1.494
1032	1.272
1033	1.204
1034	1.267
1035	0.895
1036	0.829
1037	0.766
1038	0.798
1039	0.713
1040	0.841
1041	0.703
1042	0.804
1043	0.704
1044	0.75
1045	0.702
1046	0.713
1047	0.851
1048	0.73
1049	0.77
1050	0.556
1051	0.655
1052	0.77
1053	1.164
1054	0.925
1055	0.924
1056	1.017
1057	0.931
1058	0.995
1059	1.238
1060	1.196
1061	1.588
1062	1.375
1063	1.374
1064	0.963
1065	1.246
1066	1.016
1067	1.105
1068	1.183
1069	0.985
1070	1.07
1071	1.119
1072	1.061
1073	0.754
1074	0.791
1075	0.855
1076	1.447
1077	1.439
1078	1.28
1079	0.935
1080	0.832
1081	1.033
1082	0.893
1083	0.722
1084	0.819
1085	0.795
1086	0.625
1087	0.576
1088	0.803
1089	1.035
1090	0.975
1091	1.046
1092	0.985
1093	0.927
1094	1.043
1095	1.072
1096	0.646
1097	0.918
1098	1.042
1099	1.032
1100	1.035
1101	1.019
1102	1.059
1103	1.034
1104	0.778
1105	0.886
1106	0.746
1107	0.856
1108	0.781
1109	0.996
1110	0.801
1111	0.911
1112	0.791
1113	0.75
1114	0.868
1115	0.891
1116	0.793
1117	0.866
1118	0.675
1119	0.953
1120	0.962
1121	0.874
1122	0.824
1123	0.994
1124	0.83
1125	0.883
1126	0.744
1127	1.027
1128	0.714
1129	0.881
1130	0.772
1131	0.661
1132	0.783
1133	0.895
1134	0.747
1135	0.764
1136	0.816
1137	0.793
1138	0.784
1139	0.661
1140	0.76
1141	0.59
1142	0.738
1143	0.659
1144	0.468
1145	0.652
1146	0.815
1147	0.806
1148	0.882
1149	0.896
1150	0.944
1151	0.866
1152	0.979
1153	0.951
1154	0.831
1155	0.884
1156	0.937
1157	0.858
1158	0.882
1159	0.859
1160	0.975
1161	1.213
1162	0.917
1163	0.889
1164	0.951
1165	0.873
1166	1.022
1167	1.028
1168	1.061
1169	1.171
1170	1.025
1171	1.149
1172	0.923
1173	0.941
1174	0.882
1175	0.986
1176	0.924
1177	0.979
1178	1.128
1179	1.025
1180	0.947
1181	0.922
1182	1.041
1183	0.849
1184	0.71
1185	0.708
1186	0.851
1187	0.959
1188	1.349
1189	1.403
1190	1.378
1191	1.294
1192	1.119
1193	1.063
1194	0.709
1195	0.903
1196	0.883
1197	0.899
1198	1.157
1199	0.98
1200	1.344
1201	1.069
1202	1.149
1203	1.186
1204	1.096
1205	1.036
1206	1.065
1207	1.024
1208	0.859
1209	1.067
1210	0.758
1211	0.812
1212	0.828
1213	0.752
1214	0.753
1215	0.538
1216	0.716
1217	0.661
1218	0.953
1219	1.208
1220	1.004
1221	0.94
1222	1.055
1223	1.158
1224	0.947
1225	1.018
1226	1.009
1227	1.181
1228	1.257
1229	1.163
1230	1.039
1231	1.06
1232	0.624
1233	0.871
1234	0.738
1235	0.651
1236	0.691
1237	0.649
1238	0.689
1239	0.733
1240	0.732
1241	0.896
1242	0.788
1243	0.543
1244	0.87
1245	0.867
1246	0.768
1247	0.696
1248	0.827
1249	0.862
1250	0.587
1251	0.612
1252	0.814
1253	0.755
1254	0.678
1255	0.824
1256	0.851
1257	1.193
1258	1.284
1259	1.145
1260	0.805
1261	0.978
1262	1.264
1263	1.002
1264	0.851
1265	1.147
1266	1.113
1267	1.289
1268	1.131
1269	1.059
1270	0.962
1271	0.627
1272	0.984
1273	0.936
1274	1.108
1275	1.035
1276	1.316
1277	1.242
1278	0.77
1279	0.878
1280	0.922
1281	0.806
1282	0.823
1283	0.672
1284	0.769
1285	1.089
1286	1.053
1287	0.996
1288	0.74
1289	0.973
1290	1.038
1291	1.043
1292	0.687
1293	0.981
1294	0.899
1295	0.901
1296	1.027
1297	1.043
1298	1.035
1299	0.864
1300	0.697
1301	0.887
1302	1.249
1303	1.177
1304	1.325
1305	1.082
1306	0.999
1307	1.087
1308	1.05
1309	1.057
1310	1.079
1311	0.601
1312	0.942
1313	0.92
1314	1.024
1315	1.108
1316	1.222
1317	0.943
1318	0.712
1319	1.043
1320	1.134
1321	0.923
1322	1.112
1323	1.323
1324	1.213
1325	1.132
1326	1.359
1327	1.033
1328	1.016
1329	1.276
1330	1.153
1331	1.095
1332	0.675
1333	1.119
1334	1.04
1335	1.212
1336	1.195
1337	1.047
1338	1.13
1339	1.36
1340	1.132
1341	1.347
1342	1.411
1343	1.405
1344	1.367
1345	1.321
1346	0.925
1347	1.021
1348	1.146
1349	1.141
1350	1.108
1351	1.313
1352	1.047
1353	1.133
1354	1.031
1355	1.128
1356	0.74
1357	1.12
1358	1.331
1359	1.026
1360	1.075
1361	1.065
1362	1.234
1363	1.219
1364	1.272
1365	1.156
1366	1.116
1367	1.184
1368	1.219
1369	1.23
1370	1.245
1371	1.059
1372	1.213
1373	1.029
1374	0.934
1375	1.019
1376	0.943
1377	1.14
1378	0.879
1379	0.962
1380	1.046
1381	0.924
1382	0.983
1383	1.006
1384	0.941
1385	0.658
1386	0.716
1387	1.001
1388	0.9
1389	0.918
1390	0.875
1391	0.528
1392	0.761
1393	0.883
1394	0.79
1395	0.752
1396	0.323
1397	0.55
1398	0.713
1399	0.647
1400	0.896
1401	0.91
1402	0.839
1403	0.695
1404	0.838
1405	0.875
1406	0.775
1407	0.899
1408	0.819
1409	0.713
1410	0.961
1411	0.803
1412	0.65
1413	0.872
1414	0.69
1415	0.772
1416	0.868
1417	0.963
1418	0.854
1419	0.872
1420	0.786
1421	0.879
1422	1.132
1423	0.943
1424	0.67
1425	0.789
1426	0.99
1427	0.916
1428	0.907
1429	1.038
1430	0.892
1431	0.845
1432	1.192
1433	1.08
1434	0.958
1435	1.001
1436	0.804
1437	0.792
1438	0.861
1439	1.041
1440	1.101
1441	0.945
1442	1.028
1443	0.934
1444	0.993
1445	0.993
1446	0.826
1447	1
1448	1.123
1449	1.054
1450	1.033
1451	1.021
1452	0.942
1453	1.089
1454	0.768
1455	0.772
1456	0.535
1457	0.63
1458	0.863
1459	0.976
1460	1.028
1461	0.776
1462	0.891
1463	0.607
1464	0.946
1465	0.924
1466	0.932
1467	0.891
1468	0.202
1469	0.165
1470	0.338
1471	0.748
1472	0.976
1473	0.957
1474	1.162
1475	1.281
1476	1.342
1477	1.237
1478	1.417
1479	1.112
1480	0.713
1481	0.938
1482	1.016
1483	0.842
1484	0.712
1485	0.921
1486	0.889
1487	0.891
1488	0.912
1489	0.908
1490	0.942
1491	1.027
1492	1.046
1493	0.95
1494	0.847
1495	1.103
1496	0.944
1497	1.016
1498	0.976
1499	1.001
1500	0.858
1501	0.874
1502	0.828
1503	0.964
1504	0.898
1505	1.009
1506	0.861
1507	1.014
1508	1
1509	1.118
1510	0.707
1511	0.738
1512	1.167
1513	1.017
1514	0.821
1515	1.128
1516	0.723
1517	0.805
1518	0.869
1519	1.026
1520	0.899
1521	1.032
1522	1.156
1523	0.932
1524	1.412
1525	1.235
1526	1.144
1527	1.079
1528	1.183
1529	1.072
1530	1.263
1531	1.172
1532	1.379
1533	1.257
1534	1.274
1535	1.162
1536	1.059
1537	1.17
1538	1.004
1539	0.954
1540	1.288
1541	1.349
1542	1.439
1543	1.254
1544	1.185
1545	1.207
1546	1.367
1547	1.366
1548	1.323
1549	1.282
1550	1.322
1551	1.46
1552	1.382
1553	1.321
1554	1.332
1555	0.934
1556	1.274
1557	1.312
1558	1.431
1559	1.231
1560	1.129
1561	1.375
1562	1.288
1563	1.226
1564	0.931
1565	1.173
1566	1.346
1567	1.331
1568	1.381
1569	1.217
1570	1.297
1571	0.956
1572	0.941
1573	1.08
1574	1.402
1575	1.283
1576	0.982
1577	1.246
1578	1.157
1579	1.265
1580	1.2
1581	1.271
1582	0.794
1583	1.071
1584	1.322
1585	1.272
1586	1.174
1587	1.12
1588	1.134
1589	1.025
1590	1.3
1591	1.23
1592	1.084
1593	1.34
1594	1.329
1595	1.26
1596	1.469
1597	1.043
1598	1.112
1599	0.584
1600	0.922
1601	0.991
1602	1.004
1603	1.032
1604	0.981
1605	1.05
1606	0.978
1607	0.97
1608	0.981
1609	1.419
1610	1.394
1611	1.201
1612	0.922
1613	1.214
1614	1.199
1615	1.248
1616	1.186
1617	1.176
1618	1.263
1619	1.289
1620	1.476
1621	1.376
1622	1.309
1623	1.251
1624	1.098
1625	1.186
1626	1.157
1627	0.944
1628	1.058
1629	0.991
1630	1.127
1631	1.073
1632	0.837
1633	1.171
1634	1.202
1635	1.136
1636	1.3
1637	1.21
1638	1.283
1639	0.934
1640	0.816
1641	1.117
1642	1.22
1643	1.194
1644	1.344
1645	1.318
1646	1.11
1647	1.05
1648	1.252
1649	1.214
1650	0.99
1651	0.825
1652	0.733
1653	0.787
1654	0.986
1655	1.07
1656	0.996
1657	1.033
1658	1.165
1659	1.281
1660	1.218
1661	1.147
1662	1.156
1663	1.281
1664	1.037
1665	0.329
1666	0.579
1667	0.76
1668	0.744
1669	0.686
1670	0.684
1671	0.784
1672	0.718
1673	0.813
1674	0.757
1675	0.726
1676	0.845
1677	0.921
1678	0.975
1679	0.862
1680	0.887
1681	0.947
1682	1.016
1683	1.075
1684	1.274
1685	1.103
1686	0.79
1687	1.013
1688	1.014
1689	0.904
1690	0.846
1691	1.014
1692	1.009
1693	0.812
1694	1.216
1695	0.982
1696	0.948
1697	1.055
1698	0.828
1699	0.377
1700	0.684
1701	0.819
1702	0.823
1703	1.005
1704	1.108
1705	1.095
1706	1.143
1707	1.092
1708	1.055
1709	1.146
1710	1.023
1711	1.113
1712	1.061
1713	1.162
1714	1.116
1715	1.129
1716	1.14
1717	1.049
1718	0.279
1719	0.486
1720	0.686
1721	0.739
1722	0.636
1723	0.712
1724	0.581
1725	0.86
1726	0.894
1727	0.955
1728	1.017
1729	1.003
1730	1.061
1731	1.115
1732	1.253
1733	0.953
1734	0.896
1735	1.278
1736	1.246
1737	0.883
1738	0.621
1739	0.726
1740	0.833
1741	0.869
1742	0.799
1743	0.735
1744	0.662
1745	0.738
1746	0.745
1747	0.515
1748	0.495
1749	0.831
1750	0.896
1751	0.788
1752	0.755
1753	0.914
1754	0.833
1755	0.433
1756	0.637
1757	0.765
1758	0.909
1759	0.996
1760	0.865
1761	0.935
1762	0.965
1763	0.939
1764	0.989
1765	0.802
1766	0.397
1767	0.571
1768	0.528
1769	0.577
1770	0.519
1771	0.603
1772	0.529
1773	0.633
1774	0.599
1775	0.537
1776	0.568
1777	0.678
1778	0.77
1779	0.573
1780	0.8
1781	0.879
1782	0.721
1783	0.787
1784	0.872
1785	0.844
1786	0.737
1787	0.712
1788	0.833
1789	0.82
1790	0.768
1791	0.608
1792	0.478
1793	0.662
1794	0.794
1795	0.705
1796	0.819
1797	1.029
1798	0.925
1799	0.992
1800	1.104
1801	1.17
1802	1.188
1803	0.975
1804	1.195
1805	0.915
1806	1.158
1807	0.967
1808	1.188
1809	1.279
1810	0.946
1811	0.853
1812	1.021
1813	0.947
1814	0.901
1815	0.652
1816	0.686
1817	0.972
1818	0.745
1819	0.756
1820	0.834
1821	0.755
1822	0.983
1823	1.054
1824	0.733
1825	0.747
1826	1.091
1827	1.127
1828	1.164
1829	1.346
1830	1.139
1831	1.142
1832	1.272
1833	0.788
1834	0.982
1835	1.093
1836	1.161
1837	1.136
1838	1.294
1839	1
1840	0.901
1841	0.744
1842	1.032
1843	0.912
1844	1.137
1845	1.05
1846	1.075
1847	1.103
1848	1.273
1849	1.373
1850	1.143
1851	0.401
1852	0.713
1853	0.944
1854	0.993
1855	0.951
1856	1.043
1857	1.072
1858	1.018
1859	0.765
1860	0.804
1861	1.04
1862	0.903
1863	1.001
1864	1.078
1865	0.855
1866	0.996
1867	0.79
1868	1.17
1869	0.974
1870	0.976
1871	0.866
1872	1.06
1873	0.992
1874	0.881
1875	0.917
1876	1.092
1877	0.263
1878	0.682
1879	0.826
1880	0.902
1881	0.675
1882	0.814
1883	0.701
1884	1
1885	0.919
1886	1.149
1887	0.975
1888	0.708
1889	0.939
1890	1.051
1891	0.982
1892	0.993
1893	0.913
1894	0.938
1895	0.908
1896	1.078
1897	0.444
1898	0.675
1899	0.997
1900	1.052
1901	1.072
1902	0.933
1903	1.289
1904	1.176
1905	1.275
1906	1.365
1907	1.437
1908	1.333
1909	1.35
1910	1.313
1911	0.78
1912	0.82
1913	0.95
1914	0.889
1915	0.88
1916	1.001
1917	1
1918	1.012
1919	0.64
1920	0.883
1921	1.089
1922	1.068
1923	0.904
1924	1.109
1925	1.162
1926	1.192
1927	0.892
1928	1.113
1929	1.369
1930	1.168
1931	1.112
1932	1.187
1933	1.311
1934	1.203
1935	1.344
1936	0.592
1937	0.91
1938	0.926
1939	1.074
1940	0.935
1941	0.985
1942	0.876
1943	0.972
1944	0.647
1945	0.769
1946	1.106
1947	1.154
1948	1.078
1949	0.94
1950	1.184
1951	1.157
1952	0.928
1953	0.98
1954	0.982
1955	0.711
1956	1
1957	0.748
1958	0.921
1959	0.837
1960	0.398
1961	0.708
1962	0.651
1963	0.835
1964	0.974
1965	0.914
1966	1.03
1967	0.844
1968	1.085
1969	1.06
1970	1.124
1971	1.234
1972	0.955
1973	0.77
1974	1.155
1975	0.874
1976	1.123
1977	1.186
1978	0.762
1979	0.558
1980	0.905
1981	0.933
1982	0.856
1983	0.706
1984	0.927
1985	1.041
1986	0.862
1987	0.765
1988	0.862
1989	0.9
1990	0.933
1991	0.922