ÃÂ¯ÃÂ»ÃÂ¿# northamerica_usa_sc006 - Black River South Carolina - 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/8545
#
# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: northamerica_usa_sc006 - Black River South Carolina - 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: Black River South Carolina
#	Location:
#	Country: United States
#	Northernmost_Latitude: 33.8
#	Southernmost_Latitude: 33.8
#	Easternmost_Longitude: -79.87
#	Westernmost_Longitude: -79.87
#	Elevation: 1 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_sc006B
#	Earliest_Year: 549
#	Most_Recent_Year: 1993
#	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":"4.27250498368","T2":"17.8072906547","M1":"0.0226710941608","M2":"0.598003367418"}}
#--------------------
# 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
549	1.936
550	1.963
551	1.265
552	0.184
553	0.16
554	0.4
555	0.237
556	0.226
557	0.268
558	0.177
559	0.353
560	0.217
561	0.233
562	0.17
563	0.36
564	0.411
565	0.182
566	0.253
567	0.276
568	0.362
569	0.281
570	0.477
571	3.185
572	0.899
573	2.212
574	2.719
575	2.874
576	3.837
577	3.138
578	2.787
579	1.591
580	1.493
581	1.127
582	1.698
583	1.266
584	0.52
585	0.24
586	0.515
587	1.594
588	0.196
589	0.425
590	0.522
591	0.866
592	1.474
593	0.829
594	0.606
595	0.521
596	0.759
597	2.175
598	2.177
599	2.913
600	1.132
601	0.434
602	0.587
603	0.487
604	0.581
605	0.807
606	0.652
607	0.326
608	0.693
609	0.523
610	0.24
611	0.622
612	0.368
613	0.792
614	0.363
615	1.057
616	0.496
617	0.742
618	0.449
619	0.397
620	0.367
621	0.474
622	1.064
623	0.588
624	1.563
625	0.259
626	0.333
627	0.378
628	0.631
629	0.353
630	0.194
631	0.891
632	0.655
633	0.469
634	0.238
635	0.377
636	0.935
637	0.44
638	0.399
639	0.662
640	0.21
641	0.573
642	0.806
643	1.836
644	0.27
645	0.375
646	0.208
647	1.193
648	0.691
649	1.396
650	0.782
651	0.368
652	0.765
653	2.154
654	2.474
655	1.38
656	0.729
657	0.886
658	0.36
659	0.296
660	1.289
661	1.186
662	0.417
663	1.166
664	0.983
665	1.393
666	0.97
667	0.679
668	0.371
669	3.004
670	1.524
671	1.817
672	1.38
673	0.91
674	1.442
675	2.423
676	1.702
677	1.39
678	1.189
679	0.756
680	1.804
681	1.824
682	0.558
683	1.024
684	2.36
685	0.262
686	0.341
687	0.181
688	0.256
689	0.182
690	0.263
691	0.407
692	0.687
693	1.091
694	0.799
695	1.406
696	1.36
697	0.577
698	0.215
699	0.558
700	0.979
701	1.211
702	0.877
703	0.294
704	0.653
705	0.452
706	1.303
707	2.594
708	3.892
709	2.393
710	1.612
711	3.728
712	2.88
713	4.283
714	3.26
715	2.161
716	1.401
717	1.34
718	2.843
719	1.244
720	0.382
721	0.37
722	1.122
723	0.135
724	1.361
725	4.365
726	4.298
727	0.135
728	3.792
729	2.806
730	2.89
731	1.872
732	1.926
733	1.549
734	2.202
735	0.135
736	0.517
737	0.272
738	0.458
739	1.373
740	1.766
741	1.444
742	2.256
743	1.079
744	0.827
745	0.702
746	0.633
747	0.545
748	0.395
749	0.312
750	0.613
751	0.735
752	0.591
753	1.093
754	1.61
755	2.789
756	3.418
757	3.112
758	1.752
759	2.048
760	0.621
761	1.534
762	2.023
763	1.074
764	1.231
765	0.571
766	0.984
767	1.548
768	0.796
769	1.252
770	1.634
771	1.059
772	1.227
773	0.788
774	1.957
775	0.947
776	0.895
777	1.779
778	2.099
779	0.924
780	0.688
781	1.452
782	0.585
783	0.889
784	0.683
785	1.016
786	0.99
787	0.753
788	0.844
789	0.707
790	0.599
791	0.579
792	0.401
793	0.652
794	0.628
795	0.386
796	0.33
797	0.653
798	1.51
799	1.711
800	1.176
801	1.507
802	0.754
803	0.814
804	0.911
805	0.903
806	0.726
807	0.907
808	0.527
809	0.528
810	0.535
811	0.956
812	0.812
813	1.621
814	0.822
815	0.485
816	0.43
817	1.737
818	0.989
819	1.33
820	0.235
821	0.781
822	0.729
823	0.276
824	0.479
825	0.24
826	0.916
827	0.488
828	0.212
829	0.478
830	0.452
831	0.648
832	1.059
833	0.768
834	0.432
835	0.809
836	0.507
837	0.59
838	0.586
839	0.27
840	0.148
841	0.274
842	0.623
843	0.273
844	0.846
845	0.363
846	0.764
847	0.564
848	0.901
849	0.338
850	0.676
851	0.352
852	0.121
853	0.057
854	0.226
855	0.213
856	0.553
857	0.402
858	0.279
859	0.907
860	1.61
861	0.901
862	1.054
863	2.017
864	0.863
865	0.689
866	0.495
867	0.416
868	0.811
869	0.498
870	0.413
871	0.426
872	0.608
873	0.648
874	0.986
875	0.451
876	0.774
877	0.69
878	0.753
879	0.964
880	1.055
881	0.995
882	0.943
883	1.045
884	1.416
885	0.78
886	1.15
887	1.255
888	0.659
889	2.503
890	1.557
891	2.229
892	0.566
893	0.911
894	0.637
895	0.578
896	0.762
897	0.35
898	0.341
899	0.613
900	0.667
901	0.649
902	0.226
903	0.727
904	0.529
905	1.077
906	0.99
907	0.961
908	1.101
909	0.912
910	0.778
911	0.571
912	0.665
913	0.927
914	0.736
915	0.353
916	1.255
917	1.035
918	0.653
919	1.664
920	1.743
921	1.703
922	2.548
923	2.762
924	1.714
925	0.68
926	1.01
927	0.892
928	0.36
929	0.53
930	1.015
931	0.89
932	1.925
933	2.441
934	1.018
935	3.163
936	1.548
937	2.458
938	1.735
939	1.872
940	1.5
941	0.684
942	0.804
943	1.601
944	1.603
945	1.146
946	0.968
947	0.551
948	0.671
949	0.59
950	0.745
951	0.65
952	0.764
953	0.592
954	1.135
955	1.44
956	0.916
957	2.045
958	0.42
959	1.259
960	0.42
961	1.081
962	1.342
963	1.464
964	1.735
965	1.639
966	1.215
967	1.099
968	1.73
969	0.837
970	0.521
971	0.748
972	0.826
973	0.334
974	0.632
975	0.372
976	0.101
977	0.62
978	0.543
979	0.752
980	0.641
981	0.81
982	0.424
983	0.695
984	1.126
985	0.963
986	0.902
987	0.712
988	0.511
989	0.628
990	0.262
991	0.276
992	0.695
993	1.603
994	1.088
995	1.344
996	1.554
997	1.457
998	1.716
999	1.347
1000	0.981
1001	1.509
1002	1.779
1003	1.014
1004	1.421
1005	0.668
1006	0.6
1007	0.807
1008	1.135
1009	0.713
1010	0.465
1011	0.556
1012	0.645
1013	0.819
1014	0.783
1015	0.612
1016	0.752
1017	0.415
1018	0.665
1019	0.269
1020	0.266
1021	0.475
1022	0.743
1023	0.696
1024	0.58
1025	0.473
1026	0.819
1027	0.735
1028	0.588
1029	1.025
1030	0.387
1031	0.535
1032	0.717
1033	0.345
1034	0.423
1035	0.545
1036	0.838
1037	0.175
1038	0.362
1039	0.484
1040	0.613
1041	0.301
1042	0.512
1043	0.442
1044	0.285
1045	0.316
1046	0.608
1047	0.672
1048	-0.002
1049	1.015
1050	0.127
1051	0.689
1052	0.582
1053	1.132
1054	1.211
1055	1.056
1056	0.457
1057	0.642
1058	0.457
1059	0.44
1060	0.309
1061	0.06
1062	0.149
1063	0.11
1064	0.47
1065	1.003
1066	1.07
1067	1.037
1068	0.731
1069	1.3
1070	2.355
1071	0.954
1072	1.122
1073	0.988
1074	1.43
1075	1.582
1076	1.028
1077	1.374
1078	0.781
1079	0.653
1080	0.483
1081	1.253
1082	0.669
1083	0.614
1084	0.475
1085	0.337
1086	0.044
1087	0.835
1088	0.316
1089	0.123
1090	0.068
1091	0.555
1092	0.304
1093	0.532
1094	1.878
1095	1.324
1096	2.15
1097	0.974
1098	0.734
1099	1.312
1100	1.745
1101	1.78
1102	1.379
1103	0.977
1104	0.384
1105	0.325
1106	0.771
1107	0.762
1108	2.094
1109	1.084
1110	2.184
1111	1.666
1112	1.428
1113	1.882
1114	2.546
1115	3.529
1116	1.841
1117	3.46
1118	3.905
1119	3.431
1120	2.029
1121	1.135
1122	1.376
1123	0.728
1124	0.437
1125	0.538
1126	0.364
1127	0.448
1128	0.654
1129	0.443
1130	0.129
1131	0.773
1132	0.463
1133	0.893
1134	0.547
1135	0.41
1136	0.455
1137	1.18
1138	0.952
1139	0.823
1140	1.424
1141	0.858
1142	0.645
1143	0.61
1144	0.474
1145	0.386
1146	0.528
1147	0.423
1148	0.558
1149	0.148
1150	0.798
1151	0.404
1152	0.334
1153	1.218
1154	0.343
1155	0.843
1156	0.502
1157	0.433
1158	0.501
1159	1.097
1160	0.965
1161	1.003
1162	1.943
1163	1.272
1164	1.023
1165	1.952
1166	3.181
1167	3.595
1168	1.722
1169	0.873
1170	1.578
1171	1.971
1172	1.374
1173	1.216
1174	1.118
1175	0.572
1176	0.979
1177	0.885
1178	1.383
1179	0.526
1180	0.571
1181	0.683
1182	1.064
1183	1.542
1184	1.41
1185	0.449
1186	0.891
1187	0.611
1188	0.649
1189	1.119
1190	0.995
1191	0.548
1192	0.546
1193	0.725
1194	0.652
1195	0.555
1196	0.886
1197	0.63
1198	0.474
1199	0.552
1200	0.974
1201	0.736
1202	0.613
1203	0.488
1204	0.851
1205	1.057
1206	0.799
1207	0.7
1208	0.686
1209	0.807
1210	1.241
1211	0.803
1212	0.896
1213	0.623
1214	0.878
1215	0.764
1216	0.612
1217	0.465
1218	1.106
1219	1.781
1220	1.393
1221	1.179
1222	0.902
1223	0.679
1224	1.719
1225	1.673
1226	1.333
1227	0.564
1228	0.854
1229	0.938
1230	0.949
1231	0.604
1232	0.761
1233	0.903
1234	0.694
1235	0.702
1236	0.762
1237	0.478
1238	1.188
1239	0.918
1240	0.723
1241	0.877
1242	0.81
1243	0.581
1244	0.607
1245	0.73
1246	0.311
1247	0.44
1248	0.393
1249	0.811
1250	0.65
1251	0.559
1252	0.499
1253	0.654
1254	0.713
1255	0.537
1256	0.685
1257	0.362
1258	0.506
1259	0.358
1260	0.502
1261	0.811
1262	0.485
1263	0.249
1264	0.979
1265	1.389
1266	1.039
1267	0.908
1268	0.821
1269	0.691
1270	0.99
1271	1.581
1272	1.905
1273	1.936
1274	1.209
1275	0.999
1276	1.091
1277	1.617
1278	1.135
1279	0.527
1280	0.739
1281	0.694
1282	0.467
1283	0.599
1284	0.634
1285	1.292
1286	1.071
1287	0.607
1288	0.496
1289	0.565
1290	1.442
1291	1.218
1292	1.695
1293	0.65
1294	0.722
1295	1.25
1296	0.561
1297	1.381
1298	1.047
1299	1.997
1300	1.687
1301	1.247
1302	1.303
1303	1.086
1304	1.231
1305	1.053
1306	1.236
1307	0.994
1308	1.018
1309	0.907
1310	1.145
1311	0.334
1312	0.489
1313	1.619
1314	1.699
1315	0.897
1316	1.642
1317	2.156
1318	1.694
1319	1.574
1320	2.087
1321	1.853
1322	1.309
1323	1.213
1324	0.821
1325	0.86
1326	1.163
1327	1.619
1328	1.341
1329	0.691
1330	1.587
1331	0.892
1332	0.887
1333	0.574
1334	0.625
1335	0.459
1336	0.626
1337	1.042
1338	1.059
1339	0.9
1340	1.276
1341	1.587
1342	1.189
1343	1.792
1344	2.089
1345	2.412
1346	2.023
1347	1.461
1348	1.163
1349	1.054
1350	0.865
1351	1.116
1352	0.88
1353	1.055
1354	0.939
1355	0.933
1356	0.708
1357	1.036
1358	1.009
1359	0.623
1360	0.927
1361	0.994
1362	1.272
1363	1.106
1364	0.978
1365	0.896
1366	1.03
1367	0.686
1368	1.497
1369	0.568
1370	1.205
1371	1.166
1372	0.46
1373	0.433
1374	0.558
1375	0.525
1376	0.753
1377	0.952
1378	0.91
1379	0.887
1380	0.693
1381	1.011
1382	0.829
1383	1.255
1384	1.427
1385	0.969
1386	0.9
1387	2.208
1388	1.929
1389	0.991
1390	1.27
1391	1.513
1392	0.856
1393	1.129
1394	1.352
1395	0.455
1396	0.769
1397	0.875
1398	0.563
1399	0.762
1400	1.177
1401	0.748
1402	0.845
1403	1.094
1404	1.072
1405	0.975
1406	1.241
1407	0.862
1408	0.913
1409	1.052
1410	0.501
1411	0.953
1412	1.003
1413	1.05
1414	0.807
1415	0.845
1416	0.922
1417	0.899
1418	1.26
1419	1.051
1420	0.697
1421	0.327
1422	0.445
1423	0.515
1424	0.788
1425	1.221
1426	0.406
1427	0.461
1428	0.615
1429	1.37
1430	1.687
1431	0.463
1432	0.6
1433	0.696
1434	0.856
1435	0.559
1436	0.944
1437	1.033
1438	1.077
1439	1.352
1440	0.539
1441	1.209
1442	0.74
1443	1.486
1444	1.254
1445	0.732
1446	0.981
1447	0.591
1448	1.059
1449	1.265
1450	0.831
1451	0.562
1452	0.829
1453	0.427
1454	0.663
1455	0.308
1456	0.599
1457	0.846
1458	0.766
1459	0.746
1460	0.871
1461	1.004
1462	2.162
1463	0.752
1464	1.156
1465	0.705
1466	1.093
1467	1.4
1468	1.128
1469	0.842
1470	0.622
1471	0.675
1472	0.345
1473	0.712
1474	0.806
1475	0.504
1476	1.149
1477	0.874
1478	1.559
1479	1.694
1480	1.249
1481	1.336
1482	0.995
1483	1.006
1484	0.877
1485	1.205
1486	0.519
1487	0.999
1488	0.661
1489	0.437
1490	0.705
1491	0.356
1492	0.84
1493	1.62
1494	0.851
1495	1.475
1496	0.954
1497	1.25
1498	0.926
1499	0.624
1500	0.596
1501	0.585
1502	0.869
1503	1.261
1504	1.263
1505	0.793
1506	0.559
1507	0.696
1508	1.245
1509	0.325
1510	0.712
1511	0.969
1512	1.267
1513	0.898
1514	0.592
1515	0.772
1516	1.237
1517	1.074
1518	0.842
1519	0.845
1520	0.694
1521	0.251
1522	0.732
1523	1.093
1524	0.908
1525	1.326
1526	1.479
1527	1.359
1528	0.923
1529	2.117
1530	1.207
1531	1.457
1532	1.54
1533	0.782
1534	0.971
1535	0.397
1536	0.485
1537	0.632
1538	0.753
1539	1.407
1540	1.144
1541	1.013
1542	0.558
1543	0.881
1544	0.862
1545	0.953
1546	1.062
1547	0.834
1548	1.338
1549	0.982
1550	1.319
1551	0.781
1552	0.255
1553	1.377
1554	1.591
1555	1.538
1556	0.762
1557	0.526
1558	1.275
1559	0.729
1560	0.8
1561	0.896
1562	0.893
1563	0.674
1564	0.852
1565	0.993
1566	0.328
1567	0.676
1568	0.293
1569	0.432
1570	0.737
1571	1.103
1572	1.51
1573	1.064
1574	0.829
1575	1.107
1576	1.403
1577	1.507
1578	1.929
1579	1.838
1580	1.387
1581	1.257
1582	1.322
1583	0.52
1584	0.442
1585	1.136
1586	1.133
1587	0.168
1588	0.6
1589	0.836
1590	1.708
1591	0.682
1592	1.022
1593	0.774
1594	0.844
1595	0.459
1596	1.353
1597	0.479
1598	0.761
1599	0.545
1600	1.569
1601	1.122
1602	1.771
1603	0.929
1604	0.396
1605	1.105
1606	1.394
1607	0.974
1608	0.494
1609	1.102
1610	0.359
1611	0.52
1612	0.681
1613	1.291
1614	1.276
1615	1.929
1616	1.389
1617	1.218
1618	0.89
1619	1.02
1620	0.84
1621	0.733
1622	0.473
1623	1.254
1624	1.409
1625	1.437
1626	0.797
1627	1.145
1628	1.023
1629	0.989
1630	0.927
1631	0.911
1632	0.468
1633	0.282
1634	0.459
1635	1.988
1636	0.859
1637	0.745
1638	0.144
1639	0.574
1640	0.32
1641	0.421
1642	0.817
1643	0.04
1644	0.622
1645	0.14
1646	1.882
1647	1.207
1648	0.576
1649	2.072
1650	1.442
1651	1.274
1652	0.476
1653	1.086
1654	0.627
1655	1.937
1656	0.981
1657	0.678
1658	0.534
1659	0.188
1660	0.657
1661	0.982
1662	0.869
1663	0.563
1664	0.492
1665	0.662
1666	0.977
1667	0.74
1668	0.752
1669	0.456
1670	0.127
1671	1.066
1672	0.66
1673	0.919
1674	1.376
1675	1.179
1676	0.827
1677	0.727
1678	1.387
1679	1.537
1680	1.717
1681	2.027
1682	1.515
1683	1.503
1684	1.221
1685	1.696
1686	1.528
1687	1.167
1688	1.59
1689	1.684
1690	1.019
1691	0.652
1692	1.343
1693	0.881
1694	1.425
1695	1.383
1696	0.691
1697	0.506
1698	1.32
1699	1.202
1700	0.523
1701	0.546
1702	1.048
1703	0.492
1704	0.564
1705	1.988
1706	1.037
1707	1.445
1708	0.314
1709	0.702
1710	0.582
1711	1.243
1712	1.648
1713	0.893
1714	0.207
1715	0.276
1716	0.428
1717	1.115
1718	0.596
1719	1.554
1720	0.75
1721	2.137
1722	0.942
1723	2.436
1724	1.374
1725	1.511
1726	0.623
1727	0.173
1728	-0.042
1729	0.371
1730	0.292
1731	0.732
1732	0.561
1733	0.556
1734	0.744
1735	0.593
1736	1.064
1737	1.087
1738	0.326
1739	0.817
1740	0.986
1741	0.924
1742	1.129
1743	0.795
1744	0.456
1745	0.697
1746	0.269
1747	0.576
1748	0.278
1749	0.656
1750	0.641
1751	0.965
1752	0.555
1753	0.843
1754	0.723
1755	0.916
1756	0.257
1757	0.936
1758	0.586
1759	0.77
1760	0.746
1761	2.179
1762	0.6
1763	0.391
1764	0.625
1765	0.621
1766	1.644
1767	1.139
1768	1.832
1769	1.051
1770	1.435
1771	1.599
1772	1.133
1773	0.821
1774	0.6
1775	0.852
1776	1.944
1777	0.944
1778	0.408
1779	0.56
1780	0.934
1781	0.603
1782	0.995
1783	0.963
1784	0.588
1785	1.642
1786	2.01
1787	1.168
1788	0.875
1789	1.06
1790	0.92
1791	0.611
1792	0.976
1793	1.237
1794	0.712
1795	1.149
1796	1.075
1797	0.436
1798	0.875
1799	0.248
1800	0.806
1801	0.351
1802	0.305
1803	0.967
1804	1.339
1805	0.824
1806	0.883
1807	1.168
1808	1.011
1809	0.59
1810	1.761
1811	0.778
1812	1.3
1813	0.845
1814	0.951
1815	0.519
1816	0.115
1817	0.848
1818	0.088
1819	0.389
1820	0.58
1821	3.351
1822	1.137
1823	1.041
1824	0.383
1825	2.113
1826	0.502
1827	0.857
1828	0.784
1829	0.96
1830	0.685
1831	0.901
1832	1.274
1833	2.052
1834	1.001
1835	0.988
1836	1.455
1837	0.52
1838	0.974
1839	0.536
1840	1.157
1841	0.61
1842	0.965
1843	0.94
1844	0.566
1845	0.029
1846	1.167
1847	1.226
1848	0.915
1849	-0.041
1850	0.756
1851	0.596
1852	1.099
1853	0.633
1854	1.226
1855	1.032
1856	0.679
1857	0.557
1858	0.582
1859	0.841
1860	0.914
1861	0.305
1862	1.151
1863	1.731
1864	1.148
1865	1.237
1866	1.686
1867	1.059
1868	2.389
1869	0.549
1870	0.751
1871	0.801
1872	0.54
1873	0.83
1874	1.19
1875	0.929
1876	0.606
1877	0.505
1878	0.571
1879	0.694
1880	0.476
1881	0.338
1882	0.425
1883	1.017
1884	1.156
1885	1.341
1886	1.971
1887	0.42
1888	1.558
1889	1.22
1890	0.835
1891	0.982
1892	1.229
1893	0.936
1894	0.913
1895	1.244
1896	0.865
1897	0.629
1898	0.602
1899	0.683
1900	0.816
1901	1.369
1902	0.245
1903	1.286
1904	0.466
1905	0.844
1906	1.04
1907	0.899
1908	1.51
1909	1.364
1910	1.079
1911	0.388
1912	1.407
1913	0.712
1914	0.77
1915	1.073
1916	0.843
1917	1.612
1918	0.73
1919	0.854
1920	0.753
1921	0.858
1922	1.481
1923	0.95
1924	1.167
1925	0.825
1926	0.612
1927	0.723
1928	1.54
1929	2.719
1930	1.222
1931	0.898
1932	0.438
1933	0.996
1934	0.774
1935	0.831
1936	0.927
1937	1.203
1938	1.07
1939	1.083
1940	0.57
1941	0.812
1942	1.163
1943	0.772
1944	0.73
1945	1.042
1946	1.222
1947	1.18
1948	1.063
1949	1.456
1950	0.764
1951	1.043
1952	1.053
1953	0.724
1954	0.65
1955	0.848
1956	0.395
1957	0.634
1958	1.213
1959	0.937
1960	1.11
1961	1.257
1962	1.227
1963	1.03
1964	0.945
1965	1.843
1966	1.13
1967	0.942
1968	1.147
1969	0.897
1970	0.641
1971	1.373
1972	1.004
1973	1.763
1974	1.136
1975	0.941
1976	1.393
1977	0.378
1978	1.016
1979	0.983
1980	0.537
1981	0.104
1982	0.941
1983	0.957
1984	1.582
1985	0.743
1986	0.753
1987	0.745
1988	0.907
1989	1.351
1990	0.775
1991	1.443
1992	1.658
1993	0.966