ÃÂ¯ÃÂ»ÃÂ¿# northamerica_usa_ca633 - Glass Mountain - 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/3697
#
# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: northamerica_usa_ca633 - Glass Mountain - 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: Glass Mountain
#	Location:
#	Country: United States
#	Northernmost_Latitude: 37.75
#	Southernmost_Latitude: 37.75
#	Easternmost_Longitude: -118.68
#	Westernmost_Longitude: -118.68
#	Elevation: 2990 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_ca633B
#	Earliest_Year: 680
#	Most_Recent_Year: 2000
#	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":"5.14189723847","T2":"16.3698143153","M1":"0.0235962434542","M2":"0.508149428631"}}
#--------------------
# 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
680	1.404
681	1.062
682	1.207
683	1.26
684	1.48
685	1.57
686	1.369
687	1.069
688	0.902
689	1.083
690	1.23
691	1.559
692	1.419
693	1.061
694	1.03
695	1.341
696	1.357
697	1.338
698	0.958
699	0.907
700	1.347
701	1.042
702	1.028
703	1.219
704	1.259
705	1.142
706	1.06
707	0.898
708	1.116
709	1.04
710	1
711	0.927
712	0.726
713	0.991
714	0.891
715	0.958
716	1.052
717	1.063
718	1.046
719	0.899
720	0.961
721	0.993
722	1.095
723	0.949
724	0.87
725	0.957
726	1.024
727	1.134
728	1.064
729	1.159
730	1.083
731	1.12
732	1.102
733	1.114
734	1.23
735	1.345
736	1.056
737	0.988
738	1.157
739	1.123
740	0.912
741	0.977
742	1.076
743	0.581
744	0.888
745	0.802
746	0.853
747	0.935
748	1.031
749	0.946
750	0.894
751	0.955
752	0.801
753	0.951
754	0.992
755	1.032
756	1.046
757	0.965
758	1.033
759	1.232
760	0.877
761	0.829
762	1
763	0.878
764	1.031
765	1.26
766	0.972
767	1.198
768	1.28
769	1.235
770	1.019
771	1.283
772	1.255
773	0.911
774	0.948
775	1.039
776	0.878
777	1.07
778	1.008
779	1.112
780	1.084
781	0.91
782	0.983
783	0.861
784	1.058
785	0.943
786	1.235
787	0.887
788	0.744
789	0.812
790	0.819
791	1.023
792	1.042
793	0.876
794	0.867
795	0.992
796	0.902
797	0.767
798	0.883
799	0.917
800	0.874
801	0.773
802	0.808
803	0.802
804	0.762
805	0.887
806	0.825
807	0.851
808	1.046
809	0.703
810	0.847
811	0.873
812	1.056
813	0.861
814	0.997
815	1.106
816	1.005
817	0.828
818	0.933
819	0.807
820	0.845
821	1.108
822	1.07
823	0.904
824	0.994
825	0.94
826	1.053
827	1.085
828	1.214
829	1.287
830	1.209
831	1.046
832	1.073
833	1.059
834	1.206
835	1.03
836	1.196
837	1.062
838	1.036
839	0.835
840	0.848
841	0.907
842	1.198
843	1.166
844	0.934
845	1.098
846	1.125
847	0.908
848	1.005
849	1.274
850	1.176
851	1.153
852	1.24
853	1.386
854	1.265
855	1.27
856	1.163
857	1.06
858	1.243
859	1.045
860	0.912
861	1.009
862	1.058
863	1.04
864	0.921
865	0.88
866	0.946
867	0.764
868	0.907
869	0.725
870	0.804
871	0.733
872	0.936
873	1.026
874	1.076
875	0.818
876	0.834
877	0.863
878	0.977
879	0.895
880	0.994
881	0.825
882	1.181
883	1.026
884	0.982
885	0.898
886	0.921
887	1.009
888	0.896
889	0.747
890	0.863
891	1.072
892	1.032
893	0.908
894	1.092
895	0.982
896	0.987
897	1.1
898	0.902
899	0.825
900	0.707
901	0.963
902	1.002
903	1.04
904	1.307
905	1.16
906	1.071
907	1.09
908	1.023
909	0.939
910	0.986
911	1.046
912	0.935
913	1.004
914	0.947
915	1.164
916	1.171
917	0.89
918	1.034
919	0.931
920	0.947
921	0.898
922	0.847
923	0.907
924	0.849
925	1.071
926	0.994
927	0.907
928	0.892
929	0.871
930	0.742
931	0.805
932	0.976
933	0.994
934	0.941
935	0.913
936	0.991
937	1.118
938	1.11
939	0.974
940	1.027
941	1.091
942	0.967
943	1.067
944	0.921
945	0.948
946	0.91
947	1.113
948	0.849
949	0.883
950	0.99
951	1.012
952	1.057
953	1.031
954	1.01
955	0.994
956	0.984
957	0.466
958	0.902
959	0.901
960	0.852
961	1.044
962	1.133
963	1.009
964	1.012
965	0.894
966	0.916
967	0.962
968	1.18
969	0.793
970	1.079
971	0.959
972	1.06
973	0.939
974	1.075
975	1.055
976	1.047
977	1.012
978	1.147
979	1.026
980	0.861
981	0.888
982	1.257
983	0.793
984	0.968
985	0.878
986	1.233
987	1.023
988	1.087
989	0.977
990	0.862
991	0.843
992	0.971
993	0.914
994	0.945
995	0.713
996	0.91
997	0.725
998	0.899
999	0.758
1000	0.879
1001	0.769
1002	0.881
1003	0.848
1004	0.902
1005	0.858
1006	0.999
1007	0.835
1008	0.909
1009	0.987
1010	1.1
1011	0.893
1012	0.78
1013	0.974
1014	0.893
1015	0.834
1016	0.947
1017	0.922
1018	1.103
1019	0.976
1020	1.066
1021	0.994
1022	1.034
1023	1.1
1024	1.043
1025	0.862
1026	0.808
1027	0.93
1028	1.062
1029	1.025
1030	1.192
1031	0.993
1032	0.888
1033	1.037
1034	0.909
1035	0.797
1036	0.966
1037	0.86
1038	1.138
1039	1.118
1040	1.102
1041	1.052
1042	0.953
1043	0.993
1044	0.969
1045	1.063
1046	1.169
1047	1.023
1048	1.027
1049	1.021
1050	1.075
1051	1.012
1052	1.074
1053	0.765
1054	0.964
1055	0.832
1056	0.932
1057	1.088
1058	1.105
1059	1.071
1060	0.774
1061	1.131
1062	1.218
1063	0.92
1064	1.031
1065	1.186
1066	1.096
1067	1.05
1068	0.906
1069	0.968
1070	0.962
1071	1.056
1072	1.042
1073	1.074
1074	1.023
1075	0.91
1076	1.087
1077	0.902
1078	0.627
1079	1.129
1080	0.795
1081	1.225
1082	1.197
1083	1.283
1084	1.133
1085	1.043
1086	1.351
1087	1.253
1088	1.251
1089	1.218
1090	1.244
1091	1.241
1092	1.106
1093	1.086
1094	1.236
1095	1.101
1096	1.319
1097	1.237
1098	1.196
1099	1.279
1100	1.143
1101	0.977
1102	1.091
1103	0.83
1104	0.992
1105	0.892
1106	0.987
1107	0.969
1108	1.022
1109	1.096
1110	1.078
1111	1.15
1112	1.245
1113	0.812
1114	0.915
1115	0.877
1116	0.889
1117	0.868
1118	1.024
1119	1.133
1120	1.056
1121	0.674
1122	0.862
1123	0.877
1124	1.093
1125	1.271
1126	1.086
1127	0.922
1128	1.06
1129	1.124
1130	1.02
1131	1.213
1132	0.914
1133	0.661
1134	0.845
1135	1.097
1136	0.873
1137	0.786
1138	0.911
1139	1.023
1140	0.769
1141	0.988
1142	0.773
1143	0.89
1144	0.799
1145	0.828
1146	0.561
1147	0.889
1148	0.868
1149	0.845
1150	0.722
1151	0.575
1152	0.898
1153	0.856
1154	0.731
1155	0.82
1156	0.814
1157	0.753
1158	0.677
1159	0.764
1160	0.856
1161	0.827
1162	0.753
1163	0.891
1164	0.793
1165	0.839
1166	0.844
1167	1.032
1168	0.864
1169	1.165
1170	0.826
1171	0.9
1172	0.69
1173	0.941
1174	0.897
1175	1.027
1176	0.972
1177	0.694
1178	0.916
1179	0.966
1180	0.859
1181	0.944
1182	0.798
1183	0.963
1184	0.963
1185	1.001
1186	0.827
1187	0.903
1188	0.932
1189	0.787
1190	0.963
1191	0.885
1192	1.023
1193	1.058
1194	0.894
1195	0.996
1196	0.859
1197	1.018
1198	0.982
1199	0.995
1200	0.864
1201	0.827
1202	0.964
1203	0.962
1204	1.013
1205	0.927
1206	1.016
1207	0.989
1208	0.839
1209	0.927
1210	0.783
1211	1.059
1212	0.996
1213	0.992
1214	0.991
1215	0.993
1216	0.981
1217	0.703
1218	0.571
1219	0.984
1220	0.962
1221	0.901
1222	0.979
1223	0.98
1224	0.891
1225	0.961
1226	1.089
1227	0.548
1228	0.88
1229	0.983
1230	0.777
1231	0.919
1232	0.91
1233	0.874
1234	0.826
1235	1.058
1236	0.839
1237	0.786
1238	0.945
1239	0.908
1240	0.909
1241	1.068
1242	0.896
1243	0.809
1244	0.797
1245	0.826
1246	0.851
1247	0.88
1248	0.979
1249	0.902
1250	0.806
1251	0.861
1252	0.777
1253	1.026
1254	0.615
1255	0.888
1256	0.892
1257	1.035
1258	0.775
1259	1.058
1260	1.127
1261	1.055
1262	0.947
1263	0.988
1264	0.885
1265	0.951
1266	0.977
1267	1.006
1268	0.915
1269	0.965
1270	1.039
1271	0.988
1272	1.014
1273	0.802
1274	1.023
1275	1.094
1276	0.938
1277	1.137
1278	0.957
1279	1.117
1280	1.134
1281	0.921
1282	1.137
1283	1.218
1284	1.085
1285	0.923
1286	1.228
1287	1.036
1288	0.82
1289	0.876
1290	0.92
1291	0.987
1292	0.931
1293	0.988
1294	0.931
1295	1.045
1296	0.967
1297	0.824
1298	0.952
1299	0.916
1300	0.96
1301	0.869
1302	1.011
1303	0.943
1304	0.985
1305	1.076
1306	0.988
1307	0.936
1308	0.964
1309	0.79
1310	0.884
1311	0.897
1312	1.015
1313	0.971
1314	1.068
1315	1.02
1316	1.003
1317	0.924
1318	0.956
1319	0.932
1320	0.995
1321	0.971
1322	0.84
1323	0.764
1324	1.118
1325	1.133
1326	1.128
1327	1.128
1328	1.181
1329	1.147
1330	0.993
1331	1.086
1332	1.06
1333	1.303
1334	1.094
1335	0.894
1336	0.669
1337	1.001
1338	0.683
1339	0.884
1340	1.074
1341	1.051
1342	0.997
1343	1.103
1344	1.154
1345	1.206
1346	1.248
1347	1.141
1348	1.25
1349	1.253
1350	1.14
1351	0.939
1352	1.201
1353	1.293
1354	1.13
1355	1.293
1356	1.345
1357	1.128
1358	1.146
1359	1.136
1360	1.129
1361	0.884
1362	0.867
1363	0.895
1364	0.919
1365	0.908
1366	1.101
1367	0.973
1368	1.002
1369	1.008
1370	1.001
1371	0.736
1372	1.125
1373	1.037
1374	0.854
1375	0.832
1376	0.915
1377	0.692
1378	1.042
1379	0.719
1380	0.781
1381	0.951
1382	0.896
1383	1.062
1384	0.85
1385	1.072
1386	0.964
1387	1.018
1388	1.178
1389	1.2
1390	0.655
1391	1.074
1392	1.105
1393	1.012
1394	1.234
1395	1.266
1396	1.056
1397	1.079
1398	1.066
1399	1.062
1400	1.156
1401	0.975
1402	0.994
1403	0.954
1404	0.988
1405	1.01
1406	1.116
1407	0.795
1408	1.004
1409	0.926
1410	0.741
1411	0.931
1412	0.964
1413	0.688
1414	0.909
1415	0.957
1416	0.997
1417	1.071
1418	1.131
1419	1.207
1420	1.171
1421	1.066
1422	1.252
1423	1.468
1424	1.267
1425	1.169
1426	0.925
1427	1.085
1428	1.339
1429	1.082
1430	1.078
1431	0.821
1432	0.891
1433	1.229
1434	0.983
1435	1.282
1436	1.03
1437	0.966
1438	0.895
1439	1.001
1440	1.165
1441	0.893
1442	0.815
1443	1.153
1444	1.034
1445	0.9
1446	0.983
1447	0.983
1448	0.81
1449	1.025
1450	0.817
1451	0.963
1452	0.884
1453	1.041
1454	0.822
1455	0.941
1456	0.636
1457	0.722
1458	0.655
1459	0.642
1460	0.615
1461	0.721
1462	0.651
1463	0.878
1464	0.732
1465	0.727
1466	0.777
1467	0.82
1468	0.542
1469	0.796
1470	0.863
1471	0.775
1472	0.801
1473	0.9
1474	0.904
1475	0.534
1476	0.875
1477	0.902
1478	0.959
1479	0.763
1480	0.882
1481	0.975
1482	0.79
1483	0.902
1484	1.005
1485	0.919
1486	1.037
1487	0.882
1488	0.853
1489	1.12
1490	1.111
1491	0.927
1492	0.563
1493	0.902
1494	1.011
1495	0.793
1496	0.83
1497	0.462
1498	0.84
1499	0.793
1500	0.739
1501	0.949
1502	0.95
1503	1.061
1504	0.913
1505	0.711
1506	0.656
1507	0.786
1508	0.872
1509	0.977
1510	0.997
1511	0.896
1512	0.947
1513	1.034
1514	0.878
1515	0.61
1516	0.984
1517	1.107
1518	1.065
1519	0.873
1520	1.101
1521	1.053
1522	1.202
1523	1.153
1524	1.172
1525	1.181
1526	1.018
1527	1.111
1528	1.048
1529	0.899
1530	0.976
1531	0.857
1532	0.708
1533	0.868
1534	0.919
1535	0.972
1536	0.993
1537	0.909
1538	0.969
1539	1.218
1540	0.901
1541	0.705
1542	0.728
1543	0.74
1544	0.821
1545	0.675
1546	0.974
1547	0.86
1548	0.51
1549	0.982
1550	1.026
1551	0.977
1552	1.074
1553	1.092
1554	1.068
1555	1.055
1556	1.203
1557	1.044
1558	1.105
1559	0.981
1560	1.118
1561	0.995
1562	1.121
1563	1.083
1564	1.121
1565	1.171
1566	1.022
1567	1.287
1568	1.203
1569	1.121
1570	1.144
1571	1.047
1572	1.196
1573	0.999
1574	1.028
1575	0.965
1576	0.939
1577	1.13
1578	0.881
1579	0.677
1580	0.494
1581	1.069
1582	0.974
1583	1.045
1584	0.941
1585	0.951
1586	0.809
1587	0.98
1588	0.961
1589	1.097
1590	0.827
1591	1.05
1592	0.792
1593	1.051
1594	1.125
1595	0.945
1596	1.139
1597	1.12
1598	1.291
1599	0.895
1600	1.016
1601	1.009
1602	0.924
1603	1.269
1604	0.927
1605	1.012
1606	1.018
1607	0.997
1608	1.025
1609	0.984
1610	1.013
1611	1.082
1612	1.109
1613	0.933
1614	1.245
1615	1.051
1616	1.094
1617	1.222
1618	1.053
1619	0.962
1620	1.137
1621	1.159
1622	1.154
1623	1.212
1624	0.766
1625	1.255
1626	0.848
1627	0.987
1628	1.094
1629	0.989
1630	0.936
1631	0.831
1632	0.685
1633	1.155
1634	1.021
1635	0.853
1636	1.126
1637	0.707
1638	0.99
1639	0.903
1640	1.093
1641	0.84
1642	0.828
1643	1.024
1644	1.016
1645	0.94
1646	0.924
1647	0.757
1648	1.189
1649	1.105
1650	1.102
1651	1.2
1652	0.995
1653	1.164
1654	0.905
1655	0.788
1656	0.887
1657	1.1
1658	0.94
1659	0.939
1660	1.045
1661	1.015
1662	0.956
1663	0.896
1664	1.204
1665	1.102
1666	1.027
1667	1.021
1668	0.67
1669	0.616
1670	0.791
1671	1.096
1672	0.877
1673	0.945
1674	1.061
1675	0.777
1676	0.971
1677	0.935
1678	0.865
1679	0.979
1680	1.122
1681	0.554
1682	1.181
1683	1.261
1684	1.022
1685	0.946
1686	0.706
1687	1.042
1688	1.027
1689	1.148
1690	0.952
1691	0.942
1692	1.004
1693	1.032
1694	1.005
1695	0.954
1696	0.841
1697	1.157
1698	1.088
1699	0.941
1700	1.034
1701	1.19
1702	1.115
1703	0.926
1704	0.941
1705	0.904
1706	1.136
1707	0.913
1708	0.907
1709	1.055
1710	0.994
1711	1.071
1712	1.067
1713	0.965
1714	0.945
1715	1.013
1716	0.865
1717	0.979
1718	0.901
1719	0.957
1720	1.121
1721	1.054
1722	0.869
1723	0.813
1724	1.088
1725	1.085
1726	1.102
1727	1.044
1728	1.103
1729	0.651
1730	1.051
1731	1.047
1732	0.966
1733	0.843
1734	1.082
1735	0.745
1736	0.996
1737	1.146
1738	1.112
1739	0.918
1740	1.087
1741	1.111
1742	0.882
1743	1.097
1744	0.968
1745	1.084
1746	1.021
1747	1.283
1748	1.19
1749	1.211
1750	1.032
1751	1.268
1752	1.151
1753	0.94
1754	0.904
1755	0.933
1756	0.936
1757	1.024
1758	1.048
1759	0.777
1760	1.085
1761	1.143
1762	1.085
1763	1.154
1764	0.877
1765	0.821
1766	0.783
1767	0.888
1768	0.818
1769	1.008
1770	0.878
1771	1.023
1772	0.977
1773	0.985
1774	1.05
1775	1.017
1776	0.969
1777	1.015
1778	1.029
1779	1.017
1780	0.853
1781	0.757
1782	0.468
1783	0.731
1784	0.919
1785	0.839
1786	0.941
1787	0.911
1788	0.789
1789	0.958
1790	0.983
1791	0.94
1792	1.017
1793	0.935
1794	0.887
1795	0.711
1796	1.018
1797	0.981
1798	0.982
1799	0.997
1800	0.988
1801	0.944
1802	1.066
1803	1.013
1804	1.11
1805	1.154
1806	1.098
1807	1.05
1808	1.084
1809	1.005
1810	0.818
1811	1.06
1812	0.639
1813	0.836
1814	0.841
1815	0.94
1816	0.809
1817	0.997
1818	0.85
1819	0.767
1820	0.869
1821	0.925
1822	0.752
1823	0.872
1824	0.795
1825	0.843
1826	0.765
1827	0.842
1828	0.915
1829	0.857
1830	0.967
1831	0.814
1832	0.856
1833	0.952
1834	1.009
1835	1.012
1836	0.954
1837	0.9
1838	0.94
1839	1.078
1840	1.01
1841	1.118
1842	0.949
1843	0.897
1844	0.852
1845	0.933
1846	0.952
1847	0.98
1848	1
1849	1.058
1850	0.912
1851	0.842
1852	1.111
1853	1.002
1854	1.037
1855	0.991
1856	0.949
1857	0.69
1858	0.811
1859	0.921
1860	0.982
1861	0.868
1862	1.105
1863	0.949
1864	1.07
1865	1.043
1866	1.208
1867	1.175
1868	1.455
1869	1.411
1870	1.538
1871	1.315
1872	1.431
1873	1.256
1874	1.147
1875	1.236
1876	1.173
1877	1.065
1878	1.061
1879	1.084
1880	0.893
1881	0.898
1882	0.995
1883	0.882
1884	0.893
1885	0.945
1886	1.215
1887	0.968
1888	1.045
1889	0.897
1890	1.02
1891	1.074
1892	1.004
1893	0.967
1894	0.979
1895	1.071
1896	0.969
1897	1.079
1898	0.922
1899	0.931
1900	1.044
1901	1.086
1902	0.98
1903	0.933
1904	0.933
1905	0.932
1906	1.078
1907	1.123
1908	1.103
1909	1.215
1910	0.918
1911	1.295
1912	1.138
1913	1.009
1914	1.222
1915	1.11
1916	1.021
1917	1.002
1918	1.156
1919	1.173
1920	1.014
1921	1.111
1922	1.279
1923	0.998
1924	0.92
1925	1.032
1926	0.983
1927	1.152
1928	1.017
1929	0.67
1930	0.861
1931	0.928
1932	0.853
1933	0.712
1934	0.543
1935	0.758
1936	0.723
1937	0.899
1938	1.06
1939	0.875
1940	0.943
1941	0.83
1942	0.882
1943	0.968
1944	0.672
1945	0.87
1946	0.875
1947	0.829
1948	0.834
1949	0.93
1950	1.075
1951	1.111
1952	0.983
1953	1.031
1954	0.902
1955	1.164
1956	1.025
1957	0.854
1958	0.934
1959	1.011
1960	0.642
1961	0.839
1962	0.821
1963	0.911
1964	0.949
1965	1.049
1966	0.847
1967	1.074
1968	0.945
1969	1.419
1970	0.878
1971	0.934
1972	0.632
1973	1.088
1974	0.97
1975	0.982
1976	0.873
1977	1.067
1978	0.967
1979	0.955
1980	1.148
1981	1.024
1982	1.198
1983	1.201
1984	1.173
1985	1.165
1986	1.288
1987	0.974
1988	1.074
1989	1.03
1990	1
1991	0.853
1992	0.872
1993	0.935
1994	0.805
1995	0.976
1996	0.997
1997	0.979
1998	0.834
1999	0.778
2000	0.915