ÃÂ¯ÃÂ»ÃÂ¿# northamerica_usa_ca533 - Campito 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/3346
#
# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: northamerica_usa_ca533 - Campito 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: Campito Mountain
#	Location:
#	Country: United States
#	Northernmost_Latitude: 37.5
#	Southernmost_Latitude: 37.5
#	Easternmost_Longitude: -118.22
#	Westernmost_Longitude: -118.22
#	Elevation: 3400 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_ca533B
#	Earliest_Year: 626
#	Most_Recent_Year: 1983
#	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":"4.19621691358","T2":"17.8220661906","M1":"0.0226917595082","M2":"0.290547533125"}}
#--------------------
# Species
#	Species_Name: Intermountain bristlecone pine
#	Species_Code: PILO
#--------------------
# 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
626	0.629
627	0.546
628	0.567
629	0.67
630	0.732
631	0.835
632	0.918
633	0.732
634	0.856
635	0.98
636	1.146
637	1.063
638	1.311
639	0.939
640	0.691
641	1.311
642	0.959
643	1.373
644	1.021
645	0.277
646	1.042
647	0.939
648	0.546
649	1.083
650	1.455
651	1.063
652	1.497
653	1.083
654	1.559
655	1.352
656	1.414
657	1.145
658	1.166
659	1.435
660	1.248
661	1.496
662	1.868
663	1.372
664	1.434
665	1.662
666	2.054
667	1.62
668	1.558
669	1.786
670	1.517
671	0.918
672	1.31
673	1.248
674	1.661
675	1.641
676	1.393
677	1.166
678	2.095
679	2.55
680	1.847
681	1.269
682	1.062
683	1.186
684	0.959
685	1.083
686	1.145
687	0.979
688	0.773
689	0.938
690	1.021
691	0.917
692	0.979
693	0.897
694	1.083
695	0.721
696	0.701
697	0.848
698	0.786
699	0.502
700	0.892
701	0.984
702	1.348
703	1.025
704	1.634
705	1.621
706	1.306
707	1.037
708	1.468
709	1.353
710	1.133
711	1.297
712	1.29
713	0.935
714	1.135
715	1.092
716	0.803
717	0.806
718	0.672
719	1.07
720	0.838
721	0.674
722	0.972
723	0.944
724	1.033
725	1.125
726	1.152
727	1.119
728	1.122
729	1.038
730	1.075
731	1.13
732	1.123
733	0.916
734	1.018
735	1.256
736	0.911
737	0.926
738	1.016
739	0.864
740	0.285
741	0.885
742	1.153
743	0.837
744	0.917
745	0.907
746	1.101
747	1.027
748	1.038
749	1.113
750	1.04
751	1.17
752	1.247
753	1.341
754	1.448
755	1.182
756	1.416
757	1.235
758	1.27
759	1.716
760	1.217
761	1.023
762	0.866
763	1.129
764	1.135
765	1.26
766	1.409
767	1.151
768	1.152
769	1.472
770	1.34
771	1.56
772	1.4
773	1.089
774	1.262
775	1.178
776	1.206
777	1.194
778	1.076
779	0.965
780	0.881
781	1.093
782	0.887
783	0.861
784	0.988
785	1.038
786	1.16
787	1.19
788	0.967
789	0.941
790	0.928
791	0.972
792	1.045
793	0.834
794	0.949
795	0.856
796	1.038
797	0.896
798	0.877
799	0.492
800	0.763
801	0.686
802	0.61
803	0.906
804	0.966
805	1.098
806	1.071
807	1.014
808	1.074
809	0.52
810	0.81
811	0.634
812	1.081
813	1.234
814	0.995
815	1.381
816	1.208
817	0.874
818	0.72
819	1.018
820	1.005
821	1.181
822	1.082
823	1.308
824	1.257
825	1.08
826	1.207
827	1.196
828	1.075
829	1.033
830	1.022
831	0.889
832	0.969
833	0.989
834	0.869
835	0.83
836	0.811
837	0.671
838	0.65
839	0.571
840	0.733
841	0.571
842	1.075
843	1.234
844	1.075
845	1.062
846	1.225
847	0.747
848	0.861
849	1.087
850	1.154
851	1.326
852	1.438
853	1.604
854	1.318
855	1.094
856	1.445
857	1.21
858	1.133
859	0.914
860	0.968
861	1.074
862	0.823
863	1.074
864	0.836
865	0.836
866	0.81
867	0.67
868	0.525
869	0.781
870	0.798
871	1.133
872	1.155
873	1.342
874	1.247
875	1.839
876	1.441
877	0.979
878	0.74
879	1.061
880	1.238
881	1.127
882	1.289
883	1.21
884	1.227
885	1.373
886	0.954
887	1.198
888	0.94
889	1.183
890	0.974
891	1.185
892	1.089
893	1.047
894	1.206
895	1.259
896	1.338
897	1.295
898	1.153
899	0.785
900	0.786
901	0.933
902	0.82
903	0.853
904	0.788
905	0.821
906	0.691
907	0.478
908	0.823
909	0.919
910	0.874
911	1.023
912	0.908
913	0.892
914	0.843
915	1.058
916	1.103
917	1.082
918	1.011
919	0.846
920	0.797
921	1.021
922	0.764
923	0.689
924	0.356
925	0.646
926	0.647
927	0.65
928	0.543
929	0.967
930	0.852
931	0.652
932	0.635
933	0.57
934	1.004
935	0.789
936	0.771
937	0.872
938	0.889
939	0.77
940	0.705
941	0.862
942	0.672
943	0.864
944	0.622
945	0.791
946	0.758
947	0.876
948	0.843
949	0.728
950	0.826
951	0.946
952	0.625
953	0.811
954	0.991
955	0.931
956	0.993
957	0.623
958	0.644
959	0.763
960	1.018
961	1.086
962	1.094
963	1.138
964	1.071
965	0.918
966	1.122
967	1.344
968	1.416
969	1.019
970	1.363
971	0.878
972	0.852
973	1.001
974	1.089
975	0.808
976	1.012
977	0.99
978	1.051
979	0.765
980	0.598
981	0.481
982	0.984
983	0.881
984	0.576
985	0.812
986	0.934
987	0.685
988	0.918
989	0.963
990	0.932
991	0.98
992	0.929
993	0.916
994	0.648
995	0.413
996	0.631
997	0.669
998	0.727
999	0.776
1000	1.007
1001	0.71
1002	0.857
1003	1.171
1004	1.09
1005	0.482
1006	0.722
1007	1.008
1008	1.014
1009	1.009
1010	1.209
1011	0.904
1012	1.096
1013	1.053
1014	0.607
1015	0.873
1016	0.782
1017	0.84
1018	0.994
1019	1.076
1020	1.109
1021	1.113
1022	1.026
1023	1.178
1024	1.204
1025	1.172
1026	1.046
1027	0.968
1028	1.141
1029	1.342
1030	1.253
1031	1.287
1032	1.174
1033	1.099
1034	1.02
1035	1.056
1036	1.007
1037	0.989
1038	1.078
1039	1.107
1040	1.069
1041	1.195
1042	1.366
1043	1.129
1044	1.134
1045	1.076
1046	1.065
1047	1.316
1048	0.672
1049	0.783
1050	1.094
1051	1.258
1052	1.293
1053	0.972
1054	0.947
1055	0.829
1056	0.976
1057	1.043
1058	1.143
1059	1.107
1060	1.172
1061	1.391
1062	1.457
1063	1.156
1064	1.057
1065	1.073
1066	0.973
1067	0.907
1068	0.772
1069	0.983
1070	0.871
1071	0.817
1072	1.054
1073	1.085
1074	1.138
1075	1.247
1076	1.224
1077	0.943
1078	0.903
1079	1.101
1080	1.103
1081	1.469
1082	1.205
1083	1.07
1084	1.475
1085	1.325
1086	1.338
1087	1.264
1088	1.301
1089	1.176
1090	1.359
1091	1.266
1092	1.311
1093	0.729
1094	1.173
1095	1.246
1096	1.34
1097	1.407
1098	0.922
1099	1.29
1100	1.487
1101	1.255
1102	1.055
1103	0.725
1104	1.192
1105	1.224
1106	1.255
1107	1.293
1108	1.289
1109	1.058
1110	0.977
1111	1.178
1112	1.291
1113	0.786
1114	0.781
1115	1.02
1116	1.232
1117	0.835
1118	0.875
1119	0.767
1120	0.687
1121	0.662
1122	0.955
1123	0.806
1124	0.998
1125	1.141
1126	0.947
1127	0.912
1128	1.052
1129	0.987
1130	1.092
1131	1.186
1132	0.887
1133	0.308
1134	0.587
1135	0.446
1136	0.672
1137	0.871
1138	0.925
1139	0.916
1140	0.814
1141	1.24
1142	0.821
1143	0.912
1144	1.048
1145	0.851
1146	0.67
1147	0.319
1148	0.389
1149	0.696
1150	0.677
1151	0.36
1152	0.894
1153	0.881
1154	1.015
1155	1.185
1156	1.344
1157	1.037
1158	1.044
1159	1.247
1160	1.157
1161	1.073
1162	0.879
1163	1.04
1164	0.843
1165	1.134
1166	1.128
1167	1.173
1168	1.037
1169	1.345
1170	1.194
1171	1.102
1172	0.887
1173	1.028
1174	0.952
1175	1.293
1176	1.128
1177	0.807
1178	0.916
1179	0.982
1180	0.784
1181	1.102
1182	1.152
1183	1.265
1184	1.18
1185	1.086
1186	1.187
1187	1.068
1188	1.21
1189	1.165
1190	1.296
1191	0.97
1192	1.05
1193	1.381
1194	1.332
1195	1.479
1196	0.786
1197	1.199
1198	1.254
1199	1.125
1200	1.193
1201	0.751
1202	1.252
1203	0.98
1204	0.668
1205	0.931
1206	0.651
1207	0.914
1208	0.749
1209	0.852
1210	0.999
1211	1.491
1212	1.233
1213	1.141
1214	1.158
1215	0.779
1216	0.875
1217	0.639
1218	0.14
1219	0.799
1220	1.05
1221	1.14
1222	1.418
1223	1.151
1224	1.42
1225	1.27
1226	0.995
1227	0.795
1228	1.043
1229	1.21
1230	0.629
1231	1.195
1232	1.18
1233	0.965
1234	0.895
1235	1.071
1236	0.94
1237	0.85
1238	1.071
1239	0.914
1240	1.089
1241	1.014
1242	1.027
1243	1.028
1244	0.895
1245	1.108
1246	0.87
1247	0.882
1248	1.393
1249	1.287
1250	1.122
1251	1.086
1252	1.173
1253	1.252
1254	0.537
1255	0.514
1256	0.869
1257	1.126
1258	0.576
1259	1.084
1260	1.093
1261	1.167
1262	1.287
1263	1.075
1264	0.777
1265	0.876
1266	1.012
1267	1.023
1268	0.854
1269	0.815
1270	0.991
1271	0.954
1272	1.291
1273	0.715
1274	1.048
1275	1.241
1276	1.044
1277	1.055
1278	0.76
1279	1.354
1280	1.165
1281	0.938
1282	1.135
1283	1.006
1284	0.767
1285	0.604
1286	1.011
1287	0.964
1288	0.543
1289	0.795
1290	0.669
1291	0.853
1292	0.903
1293	0.783
1294	0.869
1295	1.091
1296	0.967
1297	0.794
1298	0.937
1299	0.891
1300	0.95
1301	1.128
1302	0.943
1303	0.813
1304	0.962
1305	0.944
1306	0.84
1307	0.711
1308	0.968
1309	0.603
1310	0.827
1311	1.01
1312	0.975
1313	1.212
1314	1.424
1315	1.059
1316	0.884
1317	1.046
1318	1.186
1319	1.161
1320	1.135
1321	1.388
1322	1.415
1323	0.909
1324	1.324
1325	1.4
1326	1.371
1327	1.43
1328	1.352
1329	1.174
1330	1.26
1331	1.338
1332	0.691
1333	1.078
1334	0.662
1335	0.62
1336	0.243
1337	0.71
1338	0.484
1339	0.458
1340	0.597
1341	0.602
1342	0.543
1343	0.725
1344	0.688
1345	0.77
1346	0.9
1347	0.763
1348	0.686
1349	0.771
1350	0.594
1351	0.731
1352	0.987
1353	0.866
1354	0.744
1355	0.774
1356	1.017
1357	0.867
1358	0.732
1359	0.774
1360	0.565
1361	0.327
1362	0.365
1363	0.619
1364	0.773
1365	0.622
1366	0.733
1367	0.972
1368	1.052
1369	0.931
1370	0.961
1371	0.733
1372	1.023
1373	0.952
1374	1.01
1375	0.933
1376	1.09
1377	0.814
1378	0.897
1379	0.673
1380	1.027
1381	1.28
1382	1.296
1383	1.372
1384	1.251
1385	1.428
1386	1.27
1387	1.249
1388	1.483
1389	1.449
1390	0.915
1391	1.248
1392	1.452
1393	1.245
1394	1.45
1395	1.517
1396	1.225
1397	1.363
1398	1.219
1399	1.265
1400	1.36
1401	0.88
1402	1.378
1403	1.33
1404	1.303
1405	1.501
1406	1.531
1407	1.104
1408	1.209
1409	1.402
1410	1.159
1411	1.278
1412	1.329
1413	1.164
1414	1.01
1415	1.135
1416	1.18
1417	1.337
1418	1.023
1419	1.215
1420	1.301
1421	1.096
1422	1.035
1423	1.266
1424	1.377
1425	1.015
1426	0.742
1427	1.014
1428	1.219
1429	1.348
1430	1.158
1431	0.896
1432	1.277
1433	1.375
1434	0.75
1435	1.49
1436	1.381
1437	1.18
1438	0.89
1439	1.075
1440	1.354
1441	0.968
1442	0.818
1443	0.866
1444	0.797
1445	0.812
1446	0.725
1447	0.885
1448	0.59
1449	0.95
1450	0.419
1451	0.696
1452	0.906
1453	0.96
1454	0.743
1455	0.931
1456	0.601
1457	0.49
1458	0.407
1459	0.458
1460	0.427
1461	0.59
1462	0.541
1463	0.596
1464	0.602
1465	0.541
1466	0.506
1467	0.646
1468	0.403
1469	0.734
1470	0.824
1471	0.558
1472	0.692
1473	0.535
1474	0.568
1475	0.331
1476	0.847
1477	0.935
1478	0.877
1479	0.84
1480	0.744
1481	1.125
1482	0.838
1483	0.845
1484	1.112
1485	1.22
1486	1.106
1487	1.07
1488	1.012
1489	1.018
1490	1.177
1491	0.954
1492	0.599
1493	0.933
1494	1.15
1495	0.988
1496	0.592
1497	0.225
1498	0.566
1499	0.948
1500	0.546
1501	0.979
1502	0.98
1503	1.244
1504	1.286
1505	1.102
1506	0.824
1507	0.864
1508	0.825
1509	1.169
1510	1.259
1511	1.282
1512	1.6
1513	1.225
1514	1.334
1515	0.807
1516	1.305
1517	1.493
1518	1.25
1519	1.264
1520	1.473
1521	1.23
1522	0.91
1523	0.287
1524	1.029
1525	1.352
1526	1.136
1527	1.506
1528	1.257
1529	1.181
1530	1.42
1531	1.145
1532	1.099
1533	0.4
1534	0.919
1535	1.552
1536	1.414
1537	1.577
1538	1.111
1539	1.595
1540	1.296
1541	0.704
1542	0.218
1543	0.743
1544	0.567
1545	0.374
1546	0.487
1547	0.452
1548	0.49
1549	0.733
1550	0.876
1551	0.749
1552	0.96
1553	0.936
1554	0.993
1555	0.998
1556	1.019
1557	1.052
1558	0.803
1559	0.927
1560	1.032
1561	1.079
1562	1.163
1563	1.095
1564	1.17
1565	1.034
1566	0.95
1567	1.219
1568	1.399
1569	1.409
1570	1.38
1571	0.674
1572	1.002
1573	0.87
1574	1.089
1575	1.17
1576	1.144
1577	1.123
1578	0.53
1579	0.328
1580	0.304
1581	0.923
1582	0.872
1583	1.161
1584	0.808
1585	0.844
1586	0.864
1587	1.069
1588	1.134
1589	1.017
1590	0.593
1591	0.85
1592	0.738
1593	1.019
1594	1.39
1595	0.846
1596	1.26
1597	1.214
1598	1.516
1599	1.223
1600	0.785
1601	1.034
1602	0.682
1603	1.452
1604	1.285
1605	1.09
1606	0.838
1607	0.618
1608	1.133
1609	1.078
1610	0.967
1611	0.915
1612	0.554
1613	0.678
1614	1.139
1615	0.807
1616	1.221
1617	1.303
1618	0.596
1619	0.848
1620	0.86
1621	1.102
1622	0.838
1623	0.948
1624	0.5
1625	0.964
1626	0.502
1627	0.786
1628	0.978
1629	1.152
1630	1.006
1631	0.756
1632	0.589
1633	0.9
1634	1.152
1635	1.038
1636	1.238
1637	1.243
1638	1.062
1639	1.14
1640	1.393
1641	0.602
1642	0.777
1643	1.071
1644	0.855
1645	0.872
1646	0.896
1647	0.543
1648	0.995
1649	0.947
1650	1.038
1651	1.318
1652	0.811
1653	0.717
1654	0.497
1655	0.226
1656	0.782
1657	0.966
1658	1.012
1659	0.978
1660	1.306
1661	1.442
1662	1.123
1663	1.037
1664	1.529
1665	1.414
1666	1.12
1667	0.975
1668	0.37
1669	0.476
1670	0.24
1671	0.768
1672	0.601
1673	0.767
1674	0.782
1675	0.461
1676	0.636
1677	0.508
1678	0.741
1679	0.771
1680	0.853
1681	0.188
1682	0.91
1683	0.93
1684	0.89
1685	0.748
1686	0.457
1687	0.805
1688	0.768
1689	0.779
1690	0.265
1691	0.928
1692	0.917
1693	1.081
1694	1.209
1695	1.25
1696	0.877
1697	0.971
1698	0.854
1699	0.814
1700	0.788
1701	0.826
1702	0.723
1703	0.398
1704	0.529
1705	0.428
1706	0.715
1707	0.447
1708	0.313
1709	0.742
1710	0.748
1711	0.743
1712	0.953
1713	0.965
1714	0.754
1715	0.964
1716	0.769
1717	0.748
1718	0.982
1719	0.916
1720	1.112
1721	1.404
1722	0.926
1723	0.89
1724	1.036
1725	1
1726	1.028
1727	1.184
1728	1.257
1729	1.104
1730	1.162
1731	1.016
1732	1.336
1733	0.665
1734	1.178
1735	0.696
1736	1.088
1737	1.197
1738	1.077
1739	0.842
1740	1.207
1741	1.439
1742	0.835
1743	1.257
1744	1.266
1745	1.204
1746	1.126
1747	1.386
1748	1.196
1749	1.163
1750	1.224
1751	1.578
1752	0.922
1753	0.538
1754	0.661
1755	0.958
1756	0.569
1757	0.622
1758	1.07
1759	0.894
1760	1.612
1761	1.404
1762	1.274
1763	0.801
1764	0.888
1765	1.172
1766	0.936
1767	1.318
1768	1.01
1769	1.243
1770	1.109
1771	1.347
1772	1.32
1773	1.191
1774	0.981
1775	1.166
1776	1.218
1777	0.738
1778	1.102
1779	1.171
1780	1.019
1781	0.64
1782	0.12
1783	0.685
1784	0.789
1785	0.971
1786	0.979
1787	0.949
1788	1.099
1789	1.052
1790	0.907
1791	0.996
1792	1.008
1793	0.971
1794	0.818
1795	0.405
1796	0.869
1797	1.114
1798	0.969
1799	1.072
1800	1.261
1801	1.349
1802	1.123
1803	1.283
1804	1.33
1805	1.372
1806	1.014
1807	0.871
1808	1.078
1809	1.267
1810	0.719
1811	1.101
1812	0.709
1813	0.605
1814	0.825
1815	0.804
1816	0.798
1817	1.18
1818	0.933
1819	0.901
1820	0.589
1821	0.901
1822	0.727
1823	0.931
1824	0.707
1825	0.99
1826	1.101
1827	1.081
1828	0.924
1829	0.669
1830	0.855
1831	1.034
1832	0.936
1833	0.971
1834	1.003
1835	0.7
1836	0.279
1837	0.547
1838	0.66
1839	0.864
1840	0.732
1841	0.776
1842	0.472
1843	0.857
1844	0.605
1845	0.422
1846	0.692
1847	0.611
1848	0.875
1849	0.961
1850	0.924
1851	0.878
1852	1.265
1853	1.164
1854	1.154
1855	1.077
1856	0.402
1857	0.262
1858	0.235
1859	0.619
1860	0.924
1861	0.653
1862	0.905
1863	0.726
1864	1.134
1865	0.719
1866	1.187
1867	1.098
1868	1.124
1869	0.984
1870	1.05
1871	0.975
1872	1.205
1873	1.036
1874	1.063
1875	1.067
1876	0.888
1877	1.282
1878	1.322
1879	1.044
1880	0.626
1881	0.694
1882	1.063
1883	1.077
1884	1.095
1885	1.082
1886	1.419
1887	1.17
1888	1.296
1889	1.39
1890	1.094
1891	1.297
1892	1.262
1893	1.134
1894	0.901
1895	1.124
1896	0.645
1897	0.981
1898	1.17
1899	0.281
1900	1.121
1901	1.38
1902	1.306
1903	1.186
1904	0.902
1905	1.267
1906	1.24
1907	1.588
1908	1.287
1909	1.372
1910	1.169
1911	1.509
1912	1.182
1913	0.979
1914	1.372
1915	1.374
1916	1.27
1917	1.128
1918	1.049
1919	1.378
1920	1.217
1921	1.165
1922	1.313
1923	1.099
1924	0.988
1925	1.311
1926	1.36
1927	1.564
1928	1.387
1929	0.323
1930	1.343
1931	1.3
1932	1.398
1933	1.254
1934	1.37
1935	1.08
1936	0.89
1937	1.409
1938	1.227
1939	1.352
1940	1.483
1941	1.071
1942	1.045
1943	1.116
1944	0.961
1945	1.156
1946	1.498
1947	1.559
1948	0.794
1949	1.085
1950	1.048
1951	1.302
1952	1.138
1953	1.383
1954	1.238
1955	1.212
1956	1.215
1957	1.233
1958	1.215
1959	0.979
1960	0.342
1961	0.487
1962	1.176
1963	1.343
1964	1.325
1965	1.227
1966	0.999
1967	1.197
1968	1.375
1969	1.638
1970	1.068
1971	1.09
1972	0.965
1973	1.197
1974	0.897
1975	0.81
1976	1.019
1977	1.516
1978	1.311
1979	1.217
1980	1.714
1981	1.413
1982	1.58
1983	1.569