ÃÂ¯ÃÂ»ÃÂ¿# northamerica_usa_ca638 - Crabtree - 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/3308
#
# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: northamerica_usa_ca638 - Crabtree - 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: Crabtree
#	Location:
#	Country: United States
#	Northernmost_Latitude: 36.97
#	Southernmost_Latitude: 36.97
#	Easternmost_Longitude: -118.62
#	Westernmost_Longitude: -118.62
#	Elevation: 3378 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_ca638B
#	Earliest_Year: 759
#	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":"5.43101093395","T2":"16.8279214526","M1":"0.0226593282864","M2":"0.491015559633"}}
#--------------------
# Species
#	Species_Name: foxtail pine
#	Species_Code: PIBA
#--------------------
# 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
759	0.925
760	0.987
761	0.947
762	0.891
763	0.917
764	1.012
765	0.886
766	0.928
767	1.07
768	0.879
769	1.011
770	0.858
771	1.126
772	0.991
773	1.133
774	1.071
775	1.178
776	1.132
777	0.99
778	1.063
779	1.022
780	1.06
781	1.152
782	1.052
783	1.037
784	1.012
785	1.057
786	0.98
787	0.921
788	0.908
789	0.921
790	1.086
791	1.266
792	1.117
793	1.06
794	1.07
795	1.102
796	1.124
797	1.004
798	1.012
799	1.003
800	1.073
801	0.857
802	0.87
803	0.993
804	0.981
805	0.891
806	0.904
807	0.824
808	0.836
809	0.725
810	0.785
811	0.826
812	0.961
813	1.129
814	0.962
815	1.051
816	1.074
817	1.045
818	0.907
819	0.936
820	0.904
821	1.437
822	1.376
823	0.915
824	0.938
825	0.936
826	1.154
827	0.941
828	0.947
829	0.893
830	0.846
831	0.923
832	1.135
833	1.044
834	1.317
835	0.956
836	0.953
837	0.799
838	0.87
839	0.692
840	0.744
841	0.768
842	0.831
843	1.027
844	0.902
845	0.979
846	1.243
847	0.886
848	1.123
849	1.13
850	1.137
851	1.079
852	1.13
853	0.949
854	0.844
855	0.982
856	1.011
857	0.959
858	1.114
859	1.12
860	1.08
861	1.145
862	1.27
863	1.241
864	1.212
865	0.757
866	1.018
867	1.011
868	0.817
869	0.996
870	0.925
871	0.815
872	0.792
873	0.809
874	0.851
875	1.15
876	0.908
877	0.825
878	0.918
879	0.901
880	0.859
881	0.841
882	0.982
883	0.797
884	0.841
885	1.059
886	0.873
887	0.861
888	0.942
889	0.989
890	0.918
891	0.947
892	1.165
893	0.976
894	1.088
895	0.976
896	1.187
897	1.238
898	1.226
899	1.188
900	1.16
901	1.149
902	0.793
903	0.768
904	0.957
905	0.712
906	0.673
907	0.78
908	0.889
909	0.892
910	0.811
911	1.049
912	0.945
913	0.669
914	0.873
915	0.912
916	0.872
917	1.041
918	0.702
919	0.594
920	0.773
921	0.709
922	0.436
923	0.628
924	0.793
925	0.65
926	0.811
927	0.648
928	0.587
929	0.749
930	0.572
931	0.553
932	0.816
933	0.843
934	1.004
935	0.836
936	1.023
937	1.041
938	0.961
939	0.911
940	0.853
941	1.221
942	1.018
943	1.121
944	1.021
945	0.825
946	1.058
947	1.168
948	1.077
949	1.072
950	1.023
951	1.125
952	0.827
953	0.997
954	0.958
955	1.01
956	1.076
957	0.767
958	0.698
959	0.989
960	0.977
961	0.91
962	0.93
963	1.214
964	1.056
965	0.971
966	1.067
967	0.959
968	1.202
969	0.986
970	1.116
971	1.158
972	1.113
973	1.242
974	1.217
975	1.089
976	1.081
977	1.241
978	1.25
979	1.053
980	1.089
981	0.795
982	0.969
983	0.77
984	1.178
985	1.182
986	1.058
987	1.063
988	0.898
989	1.127
990	1.032
991	1
992	0.987
993	1.388
994	1.118
995	0.952
996	0.984
997	1.124
998	1.356
999	1.17
1000	1.313
1001	0.931
1002	1.139
1003	1.08
1004	1.195
1005	0.923
1006	1.112
1007	1.343
1008	1.181
1009	0.973
1010	1.088
1011	0.977
1012	1.021
1013	0.978
1014	0.876
1015	1.089
1016	1.077
1017	1.208
1018	1.285
1019	1.239
1020	1.247
1021	1.01
1022	1.023
1023	1.403
1024	1.363
1025	0.985
1026	1.272
1027	1.226
1028	1.218
1029	1.262
1030	1.252
1031	1.238
1032	1.227
1033	1.193
1034	1.199
1035	1.179
1036	1.133
1037	1.186
1038	1.279
1039	1.152
1040	0.919
1041	1.148
1042	1.112
1043	0.937
1044	1.118
1045	1.223
1046	0.974
1047	0.803
1048	0.933
1049	0.838
1050	0.989
1051	1.024
1052	0.98
1053	0.747
1054	0.82
1055	0.86
1056	0.921
1057	0.928
1058	0.909
1059	0.799
1060	0.691
1061	0.968
1062	1.096
1063	0.989
1064	1.064
1065	1.11
1066	0.958
1067	0.972
1068	0.904
1069	0.807
1070	0.696
1071	0.774
1072	0.851
1073	0.849
1074	0.736
1075	0.992
1076	0.943
1077	1.083
1078	0.771
1079	1.206
1080	1.154
1081	1.191
1082	1.117
1083	0.946
1084	1.268
1085	1.155
1086	0.96
1087	1.181
1088	1.201
1089	0.905
1090	0.906
1091	0.908
1092	0.918
1093	0.728
1094	1.044
1095	1.047
1096	0.908
1097	0.906
1098	0.636
1099	0.899
1100	1.085
1101	0.824
1102	0.938
1103	0.885
1104	0.887
1105	0.933
1106	0.995
1107	0.949
1108	0.973
1109	0.81
1110	0.826
1111	0.939
1112	0.991
1113	1.069
1114	0.792
1115	0.981
1116	1.062
1117	0.983
1118	0.97
1119	1.008
1120	1.145
1121	0.995
1122	1.199
1123	0.912
1124	1.102
1125	1.241
1126	0.905
1127	0.936
1128	1.078
1129	0.974
1130	0.92
1131	0.905
1132	0.674
1133	0.742
1134	0.935
1135	0.905
1136	0.987
1137	0.948
1138	1.117
1139	1.119
1140	0.934
1141	0.771
1142	0.884
1143	0.929
1144	0.88
1145	0.825
1146	0.782
1147	0.887
1148	0.756
1149	0.867
1150	0.928
1151	0.706
1152	0.839
1153	0.781
1154	0.814
1155	0.877
1156	0.952
1157	0.917
1158	0.95
1159	1.136
1160	1.021
1161	0.972
1162	0.936
1163	1.16
1164	0.96
1165	1.287
1166	1.148
1167	1.314
1168	1.209
1169	1.274
1170	1.02
1171	0.873
1172	1.016
1173	0.878
1174	1.151
1175	1.014
1176	0.993
1177	0.826
1178	1.034
1179	1.157
1180	1.1
1181	1.257
1182	1.243
1183	0.996
1184	1.161
1185	0.843
1186	0.914
1187	0.975
1188	1.181
1189	1.276
1190	1.216
1191	1.004
1192	1.113
1193	1.526
1194	1.222
1195	1.537
1196	1.06
1197	1.278
1198	1.236
1199	1.205
1200	0.81
1201	0.968
1202	1.016
1203	1.068
1204	1.079
1205	1.246
1206	0.923
1207	0.853
1208	1.014
1209	1.053
1210	0.979
1211	1.045
1212	1.269
1213	0.986
1214	1.002
1215	0.977
1216	1.018
1217	0.751
1218	0.805
1219	0.976
1220	1.244
1221	0.855
1222	0.986
1223	1.13
1224	1.212
1225	1.142
1226	0.981
1227	0.796
1228	1.061
1229	1.192
1230	0.709
1231	0.876
1232	1.061
1233	0.957
1234	1.218
1235	0.867
1236	0.867
1237	0.825
1238	1.186
1239	1.153
1240	1.182
1241	1.127
1242	0.931
1243	0.942
1244	0.788
1245	0.844
1246	0.915
1247	0.829
1248	1.178
1249	1.029
1250	0.759
1251	0.764
1252	0.958
1253	0.968
1254	0.849
1255	0.958
1256	1.081
1257	0.996
1258	0.852
1259	0.939
1260	1.033
1261	1.135
1262	1.311
1263	1.106
1264	0.974
1265	0.877
1266	0.82
1267	1.08
1268	0.949
1269	0.769
1270	0.948
1271	0.723
1272	1.027
1273	0.823
1274	0.899
1275	0.924
1276	0.932
1277	0.958
1278	0.941
1279	0.937
1280	0.904
1281	0.894
1282	1.03
1283	1.253
1284	0.848
1285	0.843
1286	0.994
1287	1.021
1288	0.827
1289	0.958
1290	1.143
1291	1.234
1292	0.854
1293	0.739
1294	0.936
1295	0.942
1296	0.84
1297	0.706
1298	0.93
1299	1.017
1300	0.984
1301	0.969
1302	1.055
1303	1.046
1304	1.225
1305	1.052
1306	1.177
1307	1.025
1308	1.026
1309	0.784
1310	1.012
1311	0.895
1312	0.914
1313	1.266
1314	1.177
1315	0.896
1316	0.861
1317	1.118
1318	1.071
1319	0.991
1320	1.089
1321	0.976
1322	1.032
1323	0.99
1324	1.031
1325	1.031
1326	1.005
1327	1.279
1328	1.277
1329	0.842
1330	1.088
1331	0.866
1332	0.643
1333	1.072
1334	0.95
1335	0.622
1336	0.631
1337	0.801
1338	0.802
1339	0.717
1340	0.721
1341	0.732
1342	0.961
1343	0.95
1344	0.992
1345	1.028
1346	1.077
1347	0.834
1348	0.766
1349	0.943
1350	0.961
1351	0.808
1352	0.906
1353	0.819
1354	0.911
1355	1.121
1356	1.276
1357	1.163
1358	0.987
1359	1.132
1360	1.098
1361	0.739
1362	0.93
1363	1.051
1364	0.77
1365	0.767
1366	0.927
1367	1.028
1368	1.358
1369	1.171
1370	1.029
1371	0.968
1372	1.136
1373	1.153
1374	1.275
1375	1.076
1376	1.179
1377	0.956
1378	1.078
1379	0.95
1380	1.1
1381	1.369
1382	1.104
1383	1.066
1384	1.036
1385	1.247
1386	0.976
1387	1.064
1388	1.193
1389	1.211
1390	0.866
1391	0.841
1392	0.977
1393	1.156
1394	1.213
1395	1.068
1396	0.88
1397	0.968
1398	0.984
1399	1.122
1400	0.982
1401	0.912
1402	0.995
1403	1.123
1404	0.954
1405	0.867
1406	1.167
1407	1.005
1408	0.91
1409	1.086
1410	0.947
1411	1.262
1412	1.089
1413	0.804
1414	0.901
1415	1.104
1416	1.017
1417	1.114
1418	1.038
1419	1.094
1420	1.254
1421	1.007
1422	1.307
1423	1.302
1424	1.394
1425	1.192
1426	1.14
1427	1.146
1428	1.214
1429	1.234
1430	0.935
1431	0.807
1432	0.929
1433	0.986
1434	1.002
1435	1.163
1436	1.222
1437	1.099
1438	1.043
1439	0.864
1440	1.096
1441	0.907
1442	0.983
1443	0.946
1444	0.887
1445	1.017
1446	0.951
1447	1.199
1448	0.913
1449	1.105
1450	1.006
1451	0.809
1452	0.846
1453	0.828
1454	0.68
1455	0.845
1456	0.661
1457	0.688
1458	0.609
1459	0.594
1460	0.618
1461	0.673
1462	0.688
1463	0.828
1464	0.659
1465	0.782
1466	0.903
1467	1.1
1468	0.689
1469	0.979
1470	1.009
1471	0.666
1472	0.634
1473	0.567
1474	0.764
1475	0.679
1476	0.834
1477	1.009
1478	0.99
1479	0.763
1480	0.667
1481	0.996
1482	0.831
1483	0.937
1484	1.212
1485	1.357
1486	1.112
1487	1.062
1488	1.041
1489	1.087
1490	1.066
1491	0.958
1492	1.092
1493	1.079
1494	1.149
1495	1.135
1496	0.979
1497	0.768
1498	0.791
1499	0.945
1500	0.786
1501	0.968
1502	1.171
1503	1.498
1504	1.291
1505	0.846
1506	0.743
1507	0.914
1508	0.953
1509	1.1
1510	1.367
1511	0.949
1512	1.039
1513	1.149
1514	1.317
1515	1.057
1516	1.028
1517	1.267
1518	0.914
1519	1.036
1520	1.031
1521	0.735
1522	0.959
1523	0.74
1524	1.207
1525	1.282
1526	1.051
1527	1.328
1528	1.165
1529	1.048
1530	1.064
1531	1.029
1532	1.09
1533	0.783
1534	1.153
1535	1.511
1536	1.169
1537	1.232
1538	0.949
1539	1.434
1540	0.983
1541	0.595
1542	1.005
1543	0.739
1544	0.888
1545	1.02
1546	1.076
1547	1.161
1548	1.017
1549	1.038
1550	1.067
1551	0.963
1552	1.139
1553	1.414
1554	1.038
1555	1.016
1556	1.273
1557	1.35
1558	1.211
1559	1.296
1560	1.353
1561	1.022
1562	1.24
1563	1.265
1564	1.34
1565	1.413
1566	1.165
1567	1.061
1568	1.333
1569	1.105
1570	1.02
1571	0.771
1572	0.85
1573	0.972
1574	1.04
1575	0.904
1576	0.868
1577	1.065
1578	1.006
1579	0.783
1580	0.399
1581	0.943
1582	0.932
1583	1.278
1584	1.011
1585	0.722
1586	0.812
1587	0.888
1588	0.886
1589	1.165
1590	0.774
1591	0.652
1592	0.791
1593	0.977
1594	0.929
1595	0.757
1596	1.112
1597	0.882
1598	0.803
1599	0.837
1600	0.873
1601	0.519
1602	0.495
1603	1.06
1604	1.196
1605	1.006
1606	0.664
1607	0.703
1608	0.748
1609	0.945
1610	0.792
1611	1.039
1612	0.737
1613	0.586
1614	0.865
1615	0.69
1616	0.9
1617	1.036
1618	0.572
1619	0.878
1620	0.663
1621	0.834
1622	0.738
1623	1.037
1624	0.74
1625	1.108
1626	0.801
1627	0.935
1628	1.03
1629	0.9
1630	0.746
1631	0.496
1632	0.689
1633	0.68
1634	0.803
1635	0.676
1636	0.839
1637	0.964
1638	0.947
1639	0.869
1640	1.239
1641	0.751
1642	0.721
1643	0.91
1644	0.844
1645	0.816
1646	0.813
1647	0.628
1648	0.978
1649	1.006
1650	0.942
1651	0.995
1652	0.992
1653	0.737
1654	0.764
1655	0.584
1656	0.81
1657	0.782
1658	0.788
1659	0.929
1660	1.028
1661	1.086
1662	0.963
1663	0.801
1664	1.25
1665	1.134
1666	0.891
1667	0.821
1668	0.808
1669	0.884
1670	0.89
1671	0.902
1672	1.044
1673	1.159
1674	1.106
1675	1.125
1676	0.812
1677	0.883
1678	1.062
1679	1.307
1680	1.321
1681	0.628
1682	1.18
1683	1.4
1684	1.274
1685	1.206
1686	1.008
1687	1.032
1688	1.264
1689	1.259
1690	0.854
1691	0.82
1692	1.152
1693	1.281
1694	1.09
1695	0.969
1696	1.193
1697	1.476
1698	1.347
1699	0.636
1700	1.044
1701	0.89
1702	1.234
1703	0.925
1704	1.028
1705	0.907
1706	1.037
1707	0.827
1708	0.838
1709	1.232
1710	0.837
1711	0.988
1712	1.215
1713	1.183
1714	0.946
1715	0.853
1716	1.092
1717	1.225
1718	1.276
1719	1.026
1720	1.216
1721	1.111
1722	1.088
1723	1.025
1724	1.233
1725	1.417
1726	1.235
1727	1.37
1728	1.168
1729	0.89
1730	1.152
1731	0.693
1732	1.242
1733	0.779
1734	0.934
1735	0.567
1736	0.724
1737	0.707
1738	0.775
1739	0.647
1740	0.756
1741	1.095
1742	0.959
1743	1.018
1744	1.023
1745	1.253
1746	1.066
1747	1.392
1748	0.905
1749	0.736
1750	0.779
1751	0.837
1752	0.821
1753	0.582
1754	0.798
1755	0.728
1756	0.62
1757	0.868
1758	0.947
1759	0.761
1760	1.042
1761	0.795
1762	0.938
1763	0.855
1764	0.806
1765	0.742
1766	0.877
1767	0.961
1768	1.227
1769	1.037
1770	0.67
1771	0.966
1772	0.936
1773	0.84
1774	0.934
1775	1.001
1776	0.805
1777	0.642
1778	0.777
1779	1.023
1780	0.915
1781	0.973
1782	0.773
1783	0.758
1784	0.857
1785	1.152
1786	1.09
1787	1.079
1788	0.904
1789	1.077
1790	1.074
1791	1.124
1792	1.171
1793	0.8
1794	0.907
1795	0.773
1796	0.819
1797	1.09
1798	1.197
1799	1.327
1800	0.96
1801	1.292
1802	1.038
1803	1.104
1804	1.086
1805	1.023
1806	1.197
1807	1.278
1808	1.117
1809	1.144
1810	0.761
1811	1.034
1812	0.796
1813	0.841
1814	0.799
1815	0.963
1816	0.729
1817	1.197
1818	0.7
1819	0.946
1820	0.849
1821	0.797
1822	0.907
1823	0.801
1824	0.69
1825	1.073
1826	1.293
1827	1.038
1828	0.847
1829	0.833
1830	0.89
1831	0.935
1832	1.275
1833	1.053
1834	0.959
1835	0.901
1836	0.74
1837	0.701
1838	0.89
1839	0.955
1840	1.054
1841	0.635
1842	0.813
1843	0.749
1844	0.712
1845	0.723
1846	0.894
1847	0.777
1848	1.201
1849	0.901
1850	1.049
1851	0.697
1852	1.142
1853	1.194
1854	1.079
1855	1.145
1856	0.728
1857	0.62
1858	0.926
1859	1.076
1860	1.016
1861	0.906
1862	1.167
1863	0.867
1864	0.868
1865	0.842
1866	1.138
1867	1.513
1868	1.4
1869	1.129
1870	1.017
1871	1.008
1872	1.19
1873	1.112
1874	1.265
1875	1.019
1876	1.185
1877	0.899
1878	0.863
1879	0.909
1880	1.067
1881	1.031
1882	1.084
1883	0.968
1884	1.065
1885	0.995
1886	1.049
1887	0.869
1888	1.012
1889	1.101
1890	1.006
1891	1.081
1892	0.937
1893	1.158
1894	0.935
1895	1.149
1896	1.143
1897	1.203
1898	0.966
1899	0.832
1900	1.042
1901	1.245
1902	1.038
1903	0.922
1904	0.998
1905	1.097
1906	1.375
1907	1.228
1908	1.08
1909	1.419
1910	1.086
1911	1.302
1912	0.803
1913	0.647
1914	1.043
1915	1.028
1916	1.002
1917	1.156
1918	0.969
1919	1.04
1920	0.961
1921	0.852
1922	1.157
1923	0.914
1924	0.717
1925	0.672
1926	0.764
1927	0.924
1928	0.822
1929	0.813
1930	0.871
1931	0.96
1932	1.011
1933	1.07
1934	0.977
1935	0.965
1936	1.093
1937	1.349
1938	1.295
1939	0.987
1940	1.238
1941	0.96
1942	1.137
1943	0.939
1944	0.783
1945	0.956
1946	0.99
1947	0.817
1948	0.854
1949	0.683
1950	0.874
1951	0.91
1952	1.012
1953	0.954
1954	0.937
1955	0.86
1956	0.91
1957	1.096
1958	1.242
1959	1.002
1960	0.741
1961	0.671
1962	1.093
1963	1.071
1964	0.941
1965	1.047
1966	0.994
1967	1.291
1968	1.229
1969	1.654
1970	1.163
1971	1.06
1972	0.987
1973	1.242
1974	1.14
1975	1.056
1976	0.886
1977	1.06
1978	1.285
1979	1.012
1980	1.444
1981	0.861
1982	1.125
1983	1.294
1984	1.145
1985	1.246
1986	1.614
1987	0.937
1988	1.121