ÃÂ¯ÃÂ»ÃÂ¿# northamerica_usa_fl001 - Choctawhatchee River - 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/4830
#
# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: northamerica_usa_fl001 - Choctawhatchee River - 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: Choctawhatchee River
#	Location:
#	Country: United States
#	Northernmost_Latitude: 30.45
#	Southernmost_Latitude: 30.45
#	Easternmost_Longitude: -85.92
#	Westernmost_Longitude: -85.92
#	Elevation: 3 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_fl001B
#	Earliest_Year: 899
#	Most_Recent_Year: 1992
#	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":"4.49017048769","T2":"17.7115443477","M1":"0.0227667841242","M2":"0.632487965145"}}
#--------------------
# 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
899	0.979
900	0.744
901	0.772
902	0.609
903	0.721
904	1.516
905	1.547
906	1.142
907	1.532
908	1.444
909	1.143
910	0.694
911	0.693
912	0.83
913	1.071
914	0.865
915	0.856
916	1.208
917	0.604
918	0.931
919	1.185
920	0.96
921	1.136
922	1.321
923	0.887
924	1.17
925	1.165
926	0.793
927	0.96
928	0.969
929	0.849
930	0.841
931	0.638
932	1.02
933	1.224
934	1.326
935	1.428
936	0.932
937	1.162
938	0.977
939	0.784
940	0.837
941	0.769
942	0.73
943	0.788
944	0.974
945	0.911
946	0.852
947	0.877
948	0.564
949	0.639
950	0.969
951	0.694
952	0.493
953	0.773
954	0.66
955	0.752
956	0.689
957	0.723
958	0.689
959	0.75
960	0.86
961	1.044
962	0.991
963	1.506
964	1.445
965	1.087
966	1.146
967	1.018
968	0.976
969	0.782
970	1.03
971	2.118
972	1.337
973	1.282
974	0.828
975	0.935
976	0.668
977	1.155
978	0.693
979	0.957
980	1.142
981	1.329
982	1.005
983	0.737
984	0.972
985	1.2
986	0.868
987	1.374
988	0.844
989	1.23
990	0.616
991	0.946
992	0.682
993	0.821
994	0.296
995	0.646
996	0.439
997	0.411
998	0.49
999	0.609
1000	0.648
1001	1.003
1002	1.573
1003	1.42
1004	1.223
1005	0.861
1006	1.313
1007	1.132
1008	0.966
1009	0.878
1010	0.556
1011	0.431
1012	0.683
1013	0.733
1014	0.422
1015	0.685
1016	0.709
1017	0.647
1018	0.629
1019	0.573
1020	0.653
1021	0.801
1022	0.709
1023	0.619
1024	0.972
1025	0.874
1026	0.831
1027	0.954
1028	1
1029	0.865
1030	0.868
1031	1.058
1032	1.007
1033	1.092
1034	0.804
1035	0.944
1036	0.792
1037	1.249
1038	1.591
1039	1.023
1040	1.26
1041	1.307
1042	1.348
1043	0.844
1044	0.61
1045	0.883
1046	1.54
1047	1.329
1048	1.439
1049	1.433
1050	0.98
1051	1.437
1052	1.621
1053	1.224
1054	0.942
1055	1.007
1056	1.11
1057	1.501
1058	1.278
1059	1.725
1060	1.041
1061	1.39
1062	1.352
1063	1.491
1064	2.015
1065	2.453
1066	2.015
1067	1.993
1068	1.667
1069	1.798
1070	1.264
1071	1.025
1072	0.588
1073	0.746
1074	0.317
1075	0.616
1076	0.55
1077	0.812
1078	0.048
1079	0.873
1080	0.998
1081	1.053
1082	0.92
1083	0.597
1084	1.269
1085	0.906
1086	0.645
1087	0.795
1088	0.491
1089	0.645
1090	0.828
1091	0.89
1092	0.993
1093	0.974
1094	0.755
1095	0.941
1096	0.657
1097	0.176
1098	0.513
1099	0.492
1100	0.689
1101	1.021
1102	0.897
1103	1.045
1104	0.93
1105	0.692
1106	0.892
1107	1.186
1108	0.741
1109	0.835
1110	1.267
1111	0.731
1112	0.906
1113	0.909
1114	0.758
1115	1.129
1116	0.771
1117	0.958
1118	0.933
1119	0.493
1120	0.505
1121	0.348
1122	0.417
1123	0.419
1124	0.274
1125	0.357
1126	0.282
1127	0.725
1128	0.767
1129	1.044
1130	0.463
1131	1.056
1132	0.988
1133	1.284
1134	1.774
1135	0.975
1136	1.723
1137	1.372
1138	1.172
1139	1.362
1140	1.141
1141	0.959
1142	0.665
1143	0.881
1144	1.047
1145	0.978
1146	0.77
1147	0.85
1148	0.878
1149	0.728
1150	1.371
1151	1.089
1152	1.082
1153	1.357
1154	1.501
1155	1.182
1156	1.661
1157	1.522
1158	1.1
1159	1.856
1160	0.567
1161	1.059
1162	0.823
1163	0.665
1164	0.497
1165	0.765
1166	1.065
1167	1.179
1168	0.915
1169	0.584
1170	0.8
1171	1.068
1172	0.909
1173	0.719
1174	0.59
1175	0.474
1176	0.72
1177	1.271
1178	0.91
1179	0.453
1180	0.669
1181	0.495
1182	0.706
1183	0.673
1184	0.642
1185	0.314
1186	0.54
1187	0.645
1188	1.133
1189	1.309
1190	0.704
1191	1.28
1192	1.013
1193	0.923
1194	1.034
1195	0.846
1196	0.888
1197	0.75
1198	0.563
1199	0.94
1200	1.074
1201	0.763
1202	1.136
1203	0.574
1204	1.582
1205	1.68
1206	1.765
1207	2.003
1208	1.461
1209	1.877
1210	1.066
1211	1.245
1212	1.423
1213	1.242
1214	1.069
1215	0.819
1216	0.704
1217	0.753
1218	1.244
1219	1.439
1220	0.783
1221	1.084
1222	1.248
1223	0.346
1224	0.798
1225	1.113
1226	0.709
1227	0.827
1228	0.95
1229	0.742
1230	0.857
1231	1.028
1232	1.007
1233	0.996
1234	0.384
1235	1.792
1236	1.287
1237	1.264
1238	1.069
1239	1.518
1240	0.957
1241	1.646
1242	1.078
1243	1.025
1244	1.024
1245	0.695
1246	0.872
1247	0.828
1248	0.342
1249	0.778
1250	1.37
1251	1.06
1252	0.877
1253	0.44
1254	1.77
1255	1.045
1256	1.334
1257	1.175
1258	1.512
1259	0.546
1260	0.829
1261	0.657
1262	0.25
1263	0.35
1264	0.77
1265	0.34
1266	0.581
1267	0.441
1268	0.576
1269	0.792
1270	0.324
1271	0.48
1272	1
1273	1.014
1274	0.73
1275	0.58
1276	0.498
1277	0.637
1278	0.319
1279	0.496
1280	0.476
1281	0.3
1282	1.078
1283	0.497
1284	0.687
1285	1.042
1286	0.81
1287	0.885
1288	0.253
1289	0.827
1290	1.571
1291	0.625
1292	0.823
1293	0.592
1294	0.398
1295	1.243
1296	1.283
1297	1.121
1298	1.064
1299	1.124
1300	0.785
1301	0.696
1302	0.686
1303	0.434
1304	0.618
1305	0.979
1306	1.167
1307	1.125
1308	1.096
1309	1.714
1310	1.228
1311	1.065
1312	0.769
1313	1.339
1314	1.743
1315	1.148
1316	1.137
1317	1.274
1318	1.414
1319	1.235
1320	0.234
1321	1.01
1322	1.084
1323	1.182
1324	0.819
1325	0.889
1326	0.702
1327	0.547
1328	0.681
1329	0.698
1330	0.948
1331	0.813
1332	1.205
1333	0.702
1334	1.155
1335	0.83
1336	0.816
1337	0.967
1338	0.96
1339	0.968
1340	0.847
1341	1.317
1342	1.804
1343	1.651
1344	1.593
1345	1.305
1346	1.093
1347	0.986
1348	0.828
1349	0.7
1350	0.893
1351	0.701
1352	0.594
1353	0.707
1354	0.785
1355	0.819
1356	0.572
1357	0.956
1358	0.543
1359	0.447
1360	0.374
1361	0.878
1362	0.559
1363	0.88
1364	1.098
1365	0.907
1366	1.025
1367	0.86
1368	1.095
1369	0.566
1370	0.809
1371	0.874
1372	0.434
1373	0.511
1374	0.552
1375	0.634
1376	0.932
1377	1.096
1378	1.157
1379	0.972
1380	0.937
1381	0.906
1382	1.093
1383	1.005
1384	1.09
1385	1.489
1386	1.623
1387	1.885
1388	2.179
1389	1.674
1390	1.973
1391	1.656
1392	1.241
1393	1.205
1394	1.073
1395	0.798
1396	1.109
1397	0.898
1398	0.759
1399	0.73
1400	0.6
1401	0.456
1402	0.524
1403	0.542
1404	0.558
1405	0.345
1406	0.378
1407	0.717
1408	1.4
1409	1.219
1410	1.088
1411	0.816
1412	1.622
1413	1.32
1414	2.255
1415	1.735
1416	0.921
1417	1.219
1418	1.231
1419	0.871
1420	1.142
1421	0.487
1422	0.735
1423	0.389
1424	0.78
1425	1.255
1426	0.785
1427	1.358
1428	1.333
1429	1.6
1430	1.985
1431	1.196
1432	1.786
1433	1.407
1434	1.273
1435	0.36
1436	0.856
1437	0.959
1438	0.97
1439	1.02
1440	0.748
1441	1.069
1442	0.967
1443	1.049
1444	0.687
1445	1.027
1446	0.731
1447	1.804
1448	1.293
1449	1.121
1450	1.307
1451	0.946
1452	1.352
1453	0.633
1454	0.692
1455	0.908
1456	1.115
1457	1.109
1458	1.32
1459	1.504
1460	1.297
1461	1.385
1462	1.271
1463	0.834
1464	0.947
1465	0.74
1466	0.822
1467	0.993
1468	0.856
1469	0.6
1470	0.577
1471	0.537
1472	0.757
1473	0.806
1474	0.858
1475	0.851
1476	1.662
1477	0.93
1478	0.816
1479	1.106
1480	0.917
1481	1.407
1482	1.006
1483	0.977
1484	0.83
1485	0.929
1486	0.729
1487	0.889
1488	0.523
1489	0.679
1490	0.414
1491	0.079
1492	0.605
1493	1.15
1494	0.78
1495	1.132
1496	1.017
1497	1
1498	0.743
1499	0.65
1500	0.909
1501	0.716
1502	0.565
1503	0.934
1504	0.889
1505	0.588
1506	0.778
1507	0.893
1508	0.732
1509	0.412
1510	0.713
1511	0.921
1512	0.938
1513	1.177
1514	1.007
1515	1.091
1516	1.042
1517	1.388
1518	0.679
1519	0.87
1520	0.849
1521	0.782
1522	1.418
1523	1.135
1524	0.84
1525	1.484
1526	1.344
1527	1.608
1528	1.164
1529	0.683
1530	0.669
1531	1.269
1532	0.708
1533	0.859
1534	0.861
1535	0.609
1536	0.733
1537	0.846
1538	0.839
1539	0.935
1540	0.863
1541	1.275
1542	0.417
1543	0.662
1544	0.936
1545	1.021
1546	1.094
1547	1.005
1548	0.486
1549	0.81
1550	1.014
1551	0.534
1552	0.42
1553	0.941
1554	0.721
1555	1.09
1556	0.691
1557	0.885
1558	0.603
1559	0.596
1560	0.676
1561	0.503
1562	1.026
1563	0.483
1564	0.938
1565	1.181
1566	0.674
1567	0.906
1568	1.133
1569	0.7
1570	0.79
1571	0.756
1572	1.054
1573	1.119
1574	1.195
1575	0.77
1576	1.07
1577	0.544
1578	0.545
1579	0.434
1580	0.805
1581	0.983
1582	1.141
1583	0.913
1584	1.149
1585	1.11
1586	1.008
1587	0.617
1588	0.716
1589	0.514
1590	1.06
1591	0.694
1592	0.817
1593	0.679
1594	0.838
1595	0.469
1596	1.051
1597	0.992
1598	0.741
1599	0.236
1600	1.095
1601	1.182
1602	1.48
1603	1.461
1604	0.656
1605	1.799
1606	2.005
1607	1.88
1608	1.523
1609	0.944
1610	0.602
1611	0.622
1612	0.859
1613	1.027
1614	0.874
1615	1.433
1616	0.672
1617	0.771
1618	1.069
1619	0.712
1620	0.891
1621	1.15
1622	1.419
1623	0.515
1624	1.084
1625	0.873
1626	0.864
1627	0.445
1628	1.131
1629	1.104
1630	1.034
1631	0.947
1632	0.648
1633	0.72
1634	0.365
1635	0.747
1636	0.664
1637	0.917
1638	0.605
1639	0.578
1640	1.026
1641	0.956
1642	1.27
1643	0.338
1644	0.521
1645	0.125
1646	1.033
1647	1.095
1648	0.858
1649	1.326
1650	1.418
1651	0.809
1652	1.283
1653	0.892
1654	0.346
1655	1.492
1656	0.655
1657	0.792
1658	0.471
1659	1.081
1660	1.205
1661	0.784
1662	1.136
1663	0.624
1664	0.682
1665	0.911
1666	0.56
1667	1.297
1668	1.19
1669	1.041
1670	1.393
1671	0.925
1672	0.214
1673	0.419
1674	0.876
1675	0.451
1676	0.149
1677	0.68
1678	0.917
1679	1.005
1680	1.215
1681	1.589
1682	0.968
1683	1.261
1684	1.365
1685	0.918
1686	1.036
1687	0.876
1688	2.17
1689	1.385
1690	1.723
1691	1.338
1692	1.263
1693	1.637
1694	1.912
1695	1.661
1696	1.245
1697	1.321
1698	1.655
1699	1.179
1700	1.233
1701	1.321
1702	1.271
1703	0.687
1704	0.966
1705	1.547
1706	0.812
1707	1.63
1708	0.766
1709	0.504
1710	0.537
1711	1.494
1712	0.981
1713	1.169
1714	0.334
1715	0.285
1716	1.07
1717	1.664
1718	0.974
1719	1.658
1720	0.967
1721	1.58
1722	1.101
1723	1.348
1724	0.482
1725	1.044
1726	1.052
1727	0.705
1728	1.185
1729	1.217
1730	0.509
1731	0.933
1732	0.916
1733	1.234
1734	0.521
1735	0.703
1736	0.878
1737	1.211
1738	0.507
1739	0.603
1740	1.109
1741	0.481
1742	0.942
1743	0.455
1744	0.945
1745	0.489
1746	0.367
1747	1.356
1748	0.805
1749	1.357
1750	0.658
1751	0.91
1752	0.633
1753	1.121
1754	1.317
1755	1.366
1756	0.648
1757	0.692
1758	0.706
1759	1.033
1760	0.47
1761	0.995
1762	0.565
1763	0.956
1764	0.57
1765	0.797
1766	1.001
1767	0.862
1768	1.087
1769	0.753
1770	0.71
1771	1.36
1772	0.683
1773	0.434
1774	0.558
1775	0.543
1776	1.049
1777	0.698
1778	0.375
1779	0.717
1780	1.171
1781	0.43
1782	1.164
1783	0.878
1784	0.629
1785	1.673
1786	0.838
1787	0.823
1788	0.838
1789	1.226
1790	0.909
1791	1.054
1792	1.091
1793	1.374
1794	0.873
1795	0.776
1796	0.801
1797	0.848
1798	0.246
1799	0.207
1800	0.924
1801	0.77
1802	0.327
1803	0.804
1804	1.209
1805	1.096
1806	1.966
1807	1.705
1808	1.836
1809	0.922
1810	0.601
1811	0.299
1812	0.659
1813	0.939
1814	0.869
1815	1.142
1816	0.671
1817	0.46
1818	0.953
1819	0.706
1820	1
1821	2.041
1822	1.072
1823	1.657
1824	1.22
1825	2.897
1826	1.449
1827	1.207
1828	0.975
1829	1.577
1830	0.511
1831	0.501
1832	0.99
1833	1.463
1834	1.559
1835	1.201
1836	1.292
1837	1.175
1838	0.953
1839	0.605
1840	0.433
1841	0.673
1842	0.679
1843	0.558
1844	0.826
1845	0.776
1846	0.729
1847	0.602
1848	0.529
1849	0.39
1850	0.314
1851	0.325
1852	0.585
1853	0.584
1854	0.353
1855	0.083
1856	0.408
1857	0.601
1858	0.423
1859	1.045
1860	0.552
1861	0.421
1862	0.985
1863	1.206
1864	0.954
1865	1.168
1866	1.105
1867	1.023
1868	1.126
1869	1.35
1870	0.953
1871	1.323
1872	0.785
1873	1.067
1874	1.023
1875	0.883
1876	1.108
1877	0.815
1878	1.116
1879	0.955
1880	1.067
1881	0.917
1882	0.924
1883	0.842
1884	0.97
1885	0.738
1886	1.049
1887	0.355
1888	0.579
1889	0.749
1890	0.37
1891	0.817
1892	0.499
1893	0.832
1894	0.826
1895	0.817
1896	0.485
1897	0.895
1898	0.546
1899	0.142
1900	0.912
1901	0.856
1902	1.131
1903	1.581
1904	0.501
1905	0.786
1906	0.753
1907	0.903
1908	1.183
1909	0.952
1910	0.788
1911	0.632
1912	1.451
1913	1.32
1914	0.487
1915	0.758
1916	0.892
1917	1.116
1918	1.026
1919	1.708
1920	1.36
1921	1.162
1922	0.841
1923	1.059
1924	0.78
1925	0.39
1926	0.636
1927	0.512
1928	1.042
1929	1.164
1930	0.596
1931	0.671
1932	0.4
1933	0.859
1934	0.477
1935	0.635
1936	0.721
1937	0.779
1938	0.935
1939	0.999
1940	0.963
1941	0.373
1942	0.896
1943	0.967
1944	1.225
1945	1.019
1946	1.55
1947	1.752
1948	1.135
1949	1.832
1950	1.09
1951	1.131
1952	0.945
1953	1.488
1954	0.825
1955	0.641
1956	0.787
1957	1.421
1958	1.283
1959	1.457
1960	1.238
1961	1.665
1962	1.112
1963	0.761
1964	1.177
1965	1.132
1966	1.145
1967	0.394
1968	0.716
1969	0.857
1970	1.583
1971	1.816
1972	1.282
1973	1.601
1974	1.341
1975	1.619
1976	0.976
1977	1.066
1978	1.811
1979	1.098
1980	0.844
1981	0.727
1982	0.801
1983	1.151
1984	1.091
1985	0.739
1986	0.537
1987	0.874
1988	0.76
1989	1.406
1990	0.62
1991	0.964
1992	0.868