ÃÂ¯ÃÂ»ÃÂ¿# northamerica_usa_mt111 - North Fork Ridge - 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/3715
#
# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: northamerica_usa_mt111 - North Fork Ridge - 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: North Fork Ridge
#	Location:
#	Country: United States
#	Northernmost_Latitude: 45.3
#	Southernmost_Latitude: 45.3
#	Easternmost_Longitude: -111.33
#	Westernmost_Longitude: -111.33
#	Elevation: 2500 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_mt111B
#	Earliest_Year: 500
#	Most_Recent_Year: 2000
#	Time_Unit: y_ad
#	Core_Length:
#	Notes: {"database":{"database1":"LMR","database2":"Breits"}} {"climateInterpretation":{"basis":"", "climateVariable":"T", "climateVariableDetail":"air", "interpDirection":"positive", "seasonality":"[6, 7, 8]"}}{"VSLite_parameters":{"T1":"5.42253626208","T2":"16.1797536012","M1":"0.0230475848921","M2":"0.512413549622"}}
#--------------------
# 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
500	1.081
501	1.158
502	0.984
503	1.34
504	1.369
505	1.268
506	1.108
507	1.037
508	1.287
509	1.148
510	1.194
511	0.977
512	0.87
513	1.113
514	1.035
515	0.973
516	0.851
517	1.12
518	0.94
519	0.851
520	1.029
521	0.943
522	0.976
523	0.921
524	0.847
525	1.02
526	0.797
527	0.999
528	0.99
529	0.783
530	0.666
531	0.862
532	0.94
533	0.813
534	1.013
535	0.999
536	0.743
537	1.101
538	0.85
539	0.699
540	0.863
541	0.735
542	0.749
543	0.563
544	0.687
545	0.78
546	0.531
547	0.635
548	0.794
549	0.796
550	1.142
551	1.077
552	1.192
553	1.382
554	0.908
555	1.069
556	1.047
557	0.823
558	0.867
559	0.95
560	1.069
561	1.02
562	1.087
563	0.82
564	0.906
565	1.003
566	1.036
567	0.955
568	0.961
569	1.019
570	1.439
571	1.388
572	1.047
573	1.057
574	0.906
575	1.082
576	1.096
577	1.139
578	1.151
579	1.521
580	0.935
581	1.144
582	1.059
583	0.927
584	0.985
585	1.076
586	1.151
587	1.087
588	1.053
589	0.937
590	1.151
591	0.787
592	1.087
593	0.638
594	1.368
595	1.188
596	1.007
597	1.08
598	1.099
599	1.064
600	0.898
601	0.842
602	1.033
603	1.241
604	1.156
605	1.176
606	0.984
607	0.861
608	0.972
609	0.901
610	0.796
611	0.878
612	0.97
613	0.884
614	1.05
615	1.166
616	1.242
617	1.119
618	1.12
619	1.078
620	0.971
621	0.973
622	1.178
623	0.953
624	1.052
625	1.008
626	1.157
627	0.814
628	0.789
629	1.38
630	0.898
631	0.921
632	0.815
633	0.982
634	0.902
635	0.874
636	1.207
637	0.96
638	1.013
639	1.011
640	1.004
641	0.851
642	0.824
643	0.881
644	0.983
645	0.855
646	0.985
647	0.928
648	0.911
649	1.059
650	0.937
651	0.98
652	1.165
653	1.025
654	0.965
655	1.14
656	1.003
657	1.1
658	1.383
659	1.19
660	1.037
661	0.929
662	1.107
663	1.161
664	1.094
665	1.222
666	1.176
667	1.022
668	1.158
669	1.205
670	1.212
671	1.313
672	1.132
673	0.791
674	1.336
675	1.125
676	1.142
677	0.959
678	1.088
679	0.92
680	1.636
681	1.079
682	1.217
683	1.007
684	1.132
685	0.872
686	1.204
687	1.018
688	0.814
689	0.971
690	0.959
691	1.158
692	1.077
693	0.97
694	0.916
695	0.998
696	0.94
697	0.78
698	1.105
699	0.816
700	1.205
701	1.017
702	1.063
703	1.072
704	1.042
705	0.92
706	0.767
707	0.802
708	1.026
709	0.91
710	0.761
711	0.875
712	0.902
713	1.046
714	1.05
715	0.809
716	0.928
717	0.846
718	0.784
719	0.757
720	0.875
721	0.905
722	0.872
723	0.796
724	0.939
725	0.796
726	0.846
727	0.895
728	0.89
729	1.014
730	0.963
731	0.897
732	0.733
733	0.814
734	0.828
735	0.884
736	0.794
737	0.685
738	0.911
739	0.79
740	0.783
741	0.827
742	0.785
743	0.646
744	0.898
745	0.681
746	0.746
747	0.901
748	0.947
749	0.935
750	0.876
751	0.834
752	0.885
753	0.684
754	0.695
755	0.731
756	0.794
757	0.842
758	0.848
759	0.953
760	0.773
761	0.787
762	0.956
763	0.97
764	0.758
765	0.601
766	0.725
767	0.872
768	0.927
769	0.851
770	0.86
771	0.814
772	0.866
773	0.906
774	0.888
775	0.762
776	0.944
777	0.797
778	0.847
779	1.017
780	0.761
781	0.969
782	0.939
783	0.741
784	0.746
785	0.816
786	1.016
787	0.953
788	1.108
789	0.833
790	0.882
791	0.73
792	1.086
793	0.814
794	0.979
795	1.054
796	1.034
797	1.002
798	1.263
799	1.132
800	1.247
801	1.214
802	1.092
803	0.934
804	1.149
805	0.914
806	1.04
807	0.931
808	1.241
809	0.822
810	0.864
811	0.872
812	0.803
813	0.795
814	0.957
815	0.967
816	0.851
817	0.823
818	0.908
819	1.04
820	0.855
821	0.901
822	1.074
823	1.025
824	0.857
825	1.047
826	1.096
827	1.013
828	1.217
829	1.131
830	1.14
831	1.158
832	1.28
833	1.149
834	1.094
835	1.098
836	1.092
837	1.181
838	1.036
839	1.115
840	1.314
841	1.196
842	1.198
843	1.285
844	0.889
845	0.98
846	1.046
847	0.852
848	1.031
849	0.898
850	1.293
851	0.98
852	0.837
853	1.005
854	0.708
855	0.991
856	0.957
857	1.072
858	0.949
859	1.097
860	0.89
861	0.786
862	0.788
863	0.825
864	1.079
865	0.874
866	0.97
867	0.74
868	0.729
869	0.75
870	0.952
871	1.034
872	0.999
873	0.821
874	0.963
875	1.081
876	0.901
877	0.997
878	1.106
879	0.804
880	0.827
881	0.843
882	0.768
883	0.828
884	0.739
885	0.813
886	0.861
887	1.248
888	1
889	0.934
890	0.778
891	0.937
892	1.291
893	0.818
894	1.397
895	1.005
896	1.09
897	0.956
898	0.914
899	0.852
900	0.872
901	0.958
902	0.925
903	1.023
904	0.828
905	0.915
906	0.892
907	0.906
908	1.045
909	0.945
910	0.947
911	0.702
912	0.889
913	0.925
914	0.817
915	0.867
916	1.073
917	0.99
918	0.985
919	0.921
920	1.033
921	0.89
922	1.13
923	0.869
924	1.022
925	0.933
926	1.154
927	0.921
928	1.128
929	1.089
930	0.81
931	0.86
932	1.104
933	0.82
934	1.195
935	1.086
936	0.987
937	0.987
938	0.91
939	0.816
940	1.083
941	1.046
942	0.808
943	0.904
944	0.957
945	1.046
946	0.958
947	1.321
948	1.101
949	1.018
950	1.043
951	1.157
952	1.208
953	1.331
954	1.114
955	1.363
956	1.439
957	1.08
958	1.141
959	1.045
960	1.167
961	1.215
962	1.077
963	1.156
964	1.05
965	1.225
966	1.229
967	1.1
968	1.126
969	1.122
970	0.799
971	1.015
972	1.236
973	1.394
974	1.084
975	1.312
976	1.094
977	1.012
978	1.122
979	1.106
980	1.07
981	1.079
982	1.108
983	0.885
984	0.925
985	0.416
986	0.638
987	0.771
988	0.656
989	0.677
990	0.486
991	0.948
992	0.634
993	0.827
994	0.901
995	0.752
996	0.825
997	0.636
998	1.008
999	0.727
1000	0.82
1001	0.906
1002	0.813
1003	0.793
1004	0.878
1005	0.999
1006	1.073
1007	0.994
1008	0.926
1009	0.851
1010	1.014
1011	0.934
1012	1.095
1013	0.965
1014	0.827
1015	0.991
1016	0.963
1017	0.759
1018	0.844
1019	1.041
1020	0.929
1021	0.686
1022	0.786
1023	0.849
1024	1.046
1025	0.936
1026	0.989
1027	0.862
1028	1.062
1029	0.913
1030	0.861
1031	1.179
1032	0.894
1033	0.834
1034	0.891
1035	0.961
1036	1.07
1037	0.897
1038	1.125
1039	0.877
1040	1.106
1041	1.216
1042	1.253
1043	1.018
1044	1.056
1045	1.07
1046	1.074
1047	1.244
1048	0.974
1049	1.017
1050	1.23
1051	1.103
1052	1.044
1053	0.91
1054	0.953
1055	0.899
1056	0.995
1057	1.064
1058	0.808
1059	0.868
1060	0.915
1061	0.952
1062	0.957
1063	0.871
1064	0.965
1065	0.979
1066	0.904
1067	0.884
1068	1.141
1069	0.912
1070	1.103
1071	0.986
1072	1.195
1073	1.147
1074	1.025
1075	1.049
1076	1.07
1077	1.037
1078	1.077
1079	1.123
1080	1.355
1081	1.474
1082	1.135
1083	1.237
1084	1.004
1085	1.19
1086	1.456
1087	1.196
1088	1.198
1089	1.274
1090	1.387
1091	1.404
1092	1.299
1093	1.393
1094	1.284
1095	1.139
1096	1.083
1097	1.435
1098	1.109
1099	1.185
1100	1.317
1101	1.155
1102	1.012
1103	0.978
1104	1.045
1105	1.137
1106	1.122
1107	1.088
1108	1.118
1109	0.979
1110	1.271
1111	1.251
1112	1.113
1113	1.106
1114	0.998
1115	0.986
1116	1.108
1117	1.14
1118	0.958
1119	1.143
1120	0.934
1121	0.972
1122	1.127
1123	0.892
1124	1.077
1125	0.825
1126	0.768
1127	0.863
1128	1.011
1129	0.791
1130	0.712
1131	0.836
1132	0.784
1133	0.811
1134	0.784
1135	0.884
1136	0.787
1137	0.894
1138	0.838
1139	0.664
1140	0.755
1141	1.034
1142	0.586
1143	1.186
1144	0.956
1145	0.789
1146	1.042
1147	0.831
1148	0.854
1149	1
1150	1.003
1151	0.927
1152	0.985
1153	0.819
1154	0.878
1155	0.877
1156	1.025
1157	0.852
1158	0.82
1159	0.795
1160	0.862
1161	0.853
1162	0.907
1163	0.844
1164	0.847
1165	0.955
1166	0.879
1167	1.014
1168	1.116
1169	0.884
1170	0.871
1171	1.05
1172	0.872
1173	0.987
1174	0.953
1175	0.812
1176	0.915
1177	0.955
1178	1.121
1179	0.978
1180	1.006
1181	1.127
1182	1.14
1183	1.005
1184	1.117
1185	1.089
1186	1.213
1187	0.915
1188	1.076
1189	0.776
1190	1.167
1191	1.017
1192	1.214
1193	0.953
1194	1.085
1195	1.058
1196	1.232
1197	1.19
1198	1.105
1199	1.088
1200	0.649
1201	1.18
1202	1.144
1203	1.105
1204	1.006
1205	1.062
1206	0.965
1207	1.049
1208	0.973
1209	0.87
1210	0.796
1211	1.296
1212	1.083
1213	1.067
1214	1.029
1215	0.737
1216	0.908
1217	1.014
1218	1.042
1219	0.99
1220	0.856
1221	0.768
1222	0.967
1223	0.857
1224	1.093
1225	1.012
1226	0.665
1227	0.854
1228	0.957
1229	0.751
1230	0.954
1231	1.012
1232	0.965
1233	0.954
1234	0.979
1235	0.917
1236	1.062
1237	0.87
1238	0.986
1239	1.052
1240	1.049
1241	0.796
1242	1.066
1243	1.002
1244	0.792
1245	0.943
1246	1.007
1247	0.971
1248	0.994
1249	0.829
1250	1.126
1251	1.088
1252	1.13
1253	1.054
1254	0.936
1255	0.829
1256	1.037
1257	0.992
1258	0.903
1259	1.036
1260	1.058
1261	0.926
1262	0.817
1263	0.825
1264	0.818
1265	0.863
1266	1.01
1267	1.089
1268	1.181
1269	1.041
1270	0.842
1271	0.984
1272	1.022
1273	0.869
1274	1.078
1275	0.966
1276	1.002
1277	0.934
1278	0.638
1279	1.079
1280	0.847
1281	0.85
1282	1.126
1283	0.989
1284	0.932
1285	1.255
1286	1.245
1287	1.088
1288	0.896
1289	0.977
1290	0.816
1291	1
1292	0.832
1293	0.917
1294	0.999
1295	1.014
1296	0.992
1297	1.06
1298	0.995
1299	1
1300	1.018
1301	0.874
1302	0.987
1303	0.883
1304	0.655
1305	0.908
1306	0.923
1307	0.813
1308	0.985
1309	1.017
1310	1.041
1311	1.001
1312	0.989
1313	1.145
1314	1.35
1315	1.096
1316	1.122
1317	1.017
1318	0.909
1319	1.099
1320	1.005
1321	1.053
1322	1.145
1323	1.159
1324	0.696
1325	1.174
1326	1.039
1327	0.919
1328	1.311
1329	1.285
1330	0.57
1331	1.124
1332	1.173
1333	1.09
1334	0.933
1335	0.938
1336	0.854
1337	0.89
1338	1.03
1339	1.211
1340	1.136
1341	0.89
1342	0.728
1343	0.965
1344	0.913
1345	0.965
1346	0.892
1347	1.064
1348	0.831
1349	1.004
1350	0.852
1351	0.99
1352	1.008
1353	1.066
1354	0.85
1355	1.071
1356	1.14
1357	0.921
1358	1.128
1359	1.058
1360	0.913
1361	1.002
1362	0.948
1363	0.93
1364	1.025
1365	0.977
1366	0.975
1367	0.982
1368	1.323
1369	0.915
1370	1.099
1371	1.012
1372	0.882
1373	0.915
1374	0.887
1375	0.743
1376	0.801
1377	1.017
1378	0.996
1379	0.956
1380	0.98
1381	1.024
1382	0.899
1383	0.861
1384	1.044
1385	1.05
1386	0.939
1387	1.108
1388	0.907
1389	0.919
1390	0.877
1391	1.078
1392	1.004
1393	0.958
1394	1.139
1395	0.977
1396	0.83
1397	1.001
1398	0.896
1399	0.828
1400	1.216
1401	1.06
1402	0.97
1403	1.225
1404	1.217
1405	0.981
1406	1.369
1407	1.667
1408	1.08
1409	1.436
1410	1.325
1411	1.329
1412	1.189
1413	1.049
1414	0.873
1415	0.912
1416	0.931
1417	0.546
1418	1.008
1419	0.848
1420	0.98
1421	0.965
1422	0.981
1423	1.053
1424	1.097
1425	0.949
1426	0.891
1427	0.897
1428	1.147
1429	0.977
1430	0.86
1431	1.103
1432	1.01
1433	1.041
1434	0.932
1435	0.824
1436	0.951
1437	0.848
1438	0.789
1439	0.986
1440	1.197
1441	1.098
1442	0.992
1443	1.132
1444	1.145
1445	1.068
1446	1.049
1447	1.059
1448	0.909
1449	1.21
1450	1.14
1451	1.281
1452	0.974
1453	1.026
1454	1.017
1455	1.133
1456	0.963
1457	1.058
1458	0.769
1459	0.845
1460	0.945
1461	0.805
1462	0.931
1463	0.911
1464	0.937
1465	1.253
1466	1.092
1467	1.095
1468	0.881
1469	1.047
1470	1.031
1471	1.019
1472	0.867
1473	1.079
1474	0.887
1475	0.811
1476	1.243
1477	1.171
1478	1.072
1479	1.004
1480	0.975
1481	1.175
1482	0.954
1483	0.971
1484	1.275
1485	1.094
1486	1.13
1487	1.156
1488	1.088
1489	1.143
1490	0.931
1491	1.292
1492	1.086
1493	1.079
1494	1.129
1495	1.219
1496	0.944
1497	0.958
1498	0.856
1499	1.037
1500	0.968
1501	1.006
1502	1.069
1503	1.086
1504	0.933
1505	0.59
1506	1.053
1507	0.961
1508	0.859
1509	1.127
1510	1.103
1511	1.115
1512	0.87
1513	0.822
1514	0.851
1515	0.93
1516	0.887
1517	1.088
1518	0.72
1519	0.709
1520	0.721
1521	0.953
1522	0.801
1523	0.931
1524	0.979
1525	0.994
1526	1.065
1527	1.269
1528	1.234
1529	1.09
1530	1.06
1531	1.222
1532	1.055
1533	0.899
1534	0.821
1535	1.077
1536	1.059
1537	1.057
1538	0.974
1539	1.084
1540	1.138
1541	0.796
1542	0.749
1543	0.818
1544	0.853
1545	1.121
1546	1.133
1547	0.925
1548	1.05
1549	0.947
1550	0.955
1551	0.904
1552	1.078
1553	0.931
1554	1.064
1555	1.081
1556	1.021
1557	0.996
1558	1.25
1559	0.855
1560	1.111
1561	0.866
1562	1.011
1563	0.844
1564	1.006
1565	0.948
1566	0.856
1567	0.684
1568	0.842
1569	0.806
1570	0.787
1571	0.705
1572	0.846
1573	0.894
1574	0.936
1575	0.933
1576	0.967
1577	1.01
1578	0.811
1579	1.12
1580	0.942
1581	0.519
1582	0.806
1583	1.053
1584	1.121
1585	0.907
1586	0.979
1587	0.912
1588	0.964
1589	0.859
1590	0.766
1591	0.797
1592	0.714
1593	0.502
1594	0.659
1595	0.806
1596	0.838
1597	0.985
1598	0.939
1599	0.762
1600	0.847
1601	0.917
1602	0.939
1603	0.914
1604	0.816
1605	0.914
1606	0.865
1607	0.851
1608	0.987
1609	1.069
1610	0.746
1611	1.142
1612	0.831
1613	0.869
1614	0.971
1615	0.804
1616	0.922
1617	1.078
1618	0.583
1619	1.087
1620	0.782
1621	0.948
1622	0.93
1623	1.009
1624	1.018
1625	1.177
1626	1.005
1627	0.667
1628	0.981
1629	1.029
1630	0.799
1631	0.963
1632	0.734
1633	0.944
1634	0.986
1635	0.954
1636	1.225
1637	0.994
1638	1.232
1639	1
1640	1.212
1641	0.753
1642	0.862
1643	1.125
1644	1.119
1645	1.171
1646	1.184
1647	1.039
1648	1.193
1649	1.212
1650	1.01
1651	0.976
1652	0.932
1653	1.034
1654	0.904
1655	1.054
1656	0.972
1657	1.014
1658	0.953
1659	0.887
1660	0.945
1661	0.862
1662	0.86
1663	0.692
1664	1.083
1665	0.873
1666	0.86
1667	0.723
1668	0.91
1669	0.871
1670	0.773
1671	0.879
1672	0.825
1673	0.828
1674	0.799
1675	0.86
1676	0.897
1677	0.932
1678	1.054
1679	0.987
1680	0.877
1681	0.942
1682	0.931
1683	1.016
1684	1.114
1685	1.013
1686	0.96
1687	0.939
1688	0.845
1689	1.176
1690	1
1691	0.916
1692	0.942
1693	0.803
1694	0.854
1695	1.064
1696	0.757
1697	0.729
1698	0.866
1699	0.876
1700	0.854
1701	0.999
1702	0.822
1703	0.884
1704	0.79
1705	0.974
1706	0.836
1707	0.868
1708	0.726
1709	0.801
1710	0.895
1711	0.68
1712	1
1713	0.81
1714	0.898
1715	0.937
1716	0.888
1717	0.855
1718	1.011
1719	0.901
1720	1
1721	0.939
1722	0.992
1723	0.622
1724	1.156
1725	0.997
1726	1.055
1727	1.072
1728	0.998
1729	0.95
1730	0.975
1731	0.807
1732	0.788
1733	0.888
1734	0.837
1735	0.746
1736	0.953
1737	0.883
1738	0.872
1739	0.855
1740	0.885
1741	1.104
1742	1.082
1743	1.097
1744	0.776
1745	0.936
1746	0.826
1747	1.15
1748	1.153
1749	0.803
1750	1.281
1751	1.234
1752	1.027
1753	0.887
1754	1.053
1755	1.036
1756	0.973
1757	1.046
1758	0.909
1759	1.071
1760	1.083
1761	0.837
1762	1.041
1763	1.124
1764	0.903
1765	1.077
1766	0.944
1767	1.125
1768	1.092
1769	1.083
1770	1.023
1771	1.153
1772	1.25
1773	1.12
1774	1.21
1775	1.092
1776	1.167
1777	1.289
1778	1.27
1779	0.973
1780	1.173
1781	1.205
1782	1.017
1783	0.928
1784	0.892
1785	1.097
1786	1.129
1787	0.899
1788	1.183
1789	1.184
1790	0.909
1791	0.988
1792	1.099
1793	1.09
1794	1.175
1795	1.236
1796	1.193
1797	1.16
1798	1.379
1799	1.067
1800	1.184
1801	1.071
1802	1.125
1803	1.013
1804	1.274
1805	1.281
1806	1.005
1807	1.067
1808	1.107
1809	0.963
1810	1.089
1811	1.245
1812	1.02
1813	1.144
1814	1.044
1815	1.145
1816	1.151
1817	1.186
1818	1.079
1819	0.984
1820	1.139
1821	0.939
1822	1.142
1823	1.325
1824	1.042
1825	0.975
1826	1.068
1827	1.111
1828	1.099
1829	1.158
1830	1.096
1831	1.171
1832	0.717
1833	1.183
1834	1.016
1835	1.288
1836	0.769
1837	1.061
1838	0.633
1839	1.099
1840	1.134
1841	1.114
1842	1.134
1843	1.14
1844	0.891
1845	1.055
1846	1.071
1847	0.884
1848	0.839
1849	0.958
1850	1.065
1851	0.916
1852	0.974
1853	1.051
1854	1.059
1855	0.954
1856	0.862
1857	0.848
1858	0.778
1859	0.938
1860	0.961
1861	0.977
1862	1.014
1863	0.856
1864	0.71
1865	1.012
1866	1.113
1867	0.985
1868	1.028
1869	0.981
1870	0.992
1871	1.014
1872	0.735
1873	0.89
1874	1.184
1875	1.08
1876	1.062
1877	0.902
1878	0.954
1879	0.855
1880	1.033
1881	0.68
1882	1.012
1883	0.497
1884	0.744
1885	0.808
1886	1.085
1887	0.959
1888	0.934
1889	0.724
1890	0.937
1891	0.813
1892	1.096
1893	1.166
1894	1.046
1895	1.022
1896	1.104
1897	1.009
1898	0.955
1899	0.838
1900	0.901
1901	1.011
1902	0.889
1903	0.914
1904	0.913
1905	0.924
1906	0.844
1907	0.963
1908	1.058
1909	1.024
1910	1.153
1911	1.147
1912	1.003
1913	1.115
1914	1.094
1915	0.806
1916	1.123
1917	1.013
1918	1.079
1919	0.914
1920	0.868
1921	0.893
1922	1.005
1923	1.053
1924	0.853
1925	0.849
1926	0.754
1927	0.871
1928	0.578
1929	1.002
1930	0.896
1931	0.946
1932	0.924
1933	0.766
1934	0.562
1935	0.732
1936	0.741
1937	0.954
1938	0.837
1939	0.745
1940	0.991
1941	0.762
1942	0.916
1943	0.863
1944	0.966
1945	1.015
1946	0.828
1947	1.045
1948	1.154
1949	0.941
1950	1.187
1951	0.944
1952	0.917
1953	1.251
1954	1.069
1955	1.086
1956	0.805
1957	1.043
1958	0.848
1959	1.272
1960	1.142
1961	1.139
1962	0.982
1963	1.206
1964	1.099
1965	1.162
1966	1.151
1967	1.148
1968	0.993
1969	0.768
1970	1.398
1971	0.965
1972	0.822
1973	1.09
1974	0.93
1975	0.93
1976	0.88
1977	0.915
1978	0.84
1979	0.986
1980	0.87
1981	0.935
1982	0.886
1983	0.815
1984	1.297
1985	1.017
1986	1.237
1987	1.081
1988	1.246
1989	0.959
1990	0.962
1991	0.971
1992	0.885
1993	0.774
1994	1.245
1995	1.209
1996	1.013
1997	1.068
1998	1.177
1999	1.103
2000	1.244