ÃÂ¯ÃÂ»ÃÂ¿# australia_newz063 - Urewera Recollection - 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/5377
#
# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: australia_newz063 - Urewera Recollection - 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: Urewera Recollection
#	Location:
#	Country: New Zealand
#	Northernmost_Latitude: -38.68
#	Southernmost_Latitude: -38.68
#	Easternmost_Longitude: 177.2
#	Westernmost_Longitude: 177.2
#	Elevation: 854 m
#--------------------
# Data_Collection
#	Collection_Name: australia_newz063B
#	Earliest_Year: 1140
#	Most_Recent_Year: 1992
#	Time_Unit: y_ad
#	Core_Length:
#	Notes: {"database":{"database1":"LMR","database2":"Breits"}} {"climateInterpretation":{"basis":"", "climateVariable":"T", "climateVariableDetail":"air", "interpDirection":"positive", "seasonality":"[-12, 1, 2]"}}{"VSLite_parameters":{"T1":"5.03498833572","T2":"13.8357844458","M1":"0.0226181647036","M2":"0.370242394576"}}
#--------------------
# Species
#	Species_Name: New Zealand cedar
#	Species_Code: LIBI
#--------------------
# 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
1140	0.896
1141	0.857
1142	0.993
1143	0.973
1144	0.914
1145	1.07
1146	1.011
1147	0.875
1148	0.874
1149	1.146
1150	1.087
1151	1.086
1152	0.854
1153	1.027
1154	1.104
1155	1.085
1156	1.335
1157	1.026
1158	1.103
1159	0.813
1160	0.986
1161	0.812
1162	0.87
1163	0.677
1164	0.677
1165	0.561
1166	0.6
1167	0.657
1168	0.676
1169	0.944
1170	0.771
1171	0.924
1172	1.077
1173	0.866
1174	1.095
1175	0.865
1176	0.903
1177	0.751
1178	0.865
1179	1.321
1180	1.244
1181	1.244
1182	1.148
1183	1.129
1184	0.863
1185	0.938
1186	0.9
1187	0.71
1188	0.824
1189	0.785
1190	0.917
1191	1.389
1192	1.162
1193	0.822
1194	0.784
1195	0.671
1196	0.595
1197	0.727
1198	0.614
1199	0.745
1200	0.764
1201	0.932
1202	1.007
1203	0.857
1204	0.613
1205	0.837
1206	0.856
1207	0.912
1208	0.762
1209	0.65
1210	0.724
1211	0.631
1212	0.966
1213	1.282
1214	1.17
1215	1.02
1216	1.15
1217	1.075
1218	0.945
1219	1.13
1220	1.037
1221	1.018
1222	1.184
1223	1.775
1224	1.183
1225	0.998
1226	0.979
1227	0.997
1228	0.72
1229	0.794
1230	0.83
1231	0.701
1232	0.866
1233	0.866
1234	0.774
1235	1.012
1236	0.774
1237	1.085
1238	0.883
1239	0.956
1240	0.791
1241	0.827
1242	0.717
1243	1.082
1244	0.881
1245	0.972
1246	1.245
1247	1.517
1248	1.207
1249	1.316
1250	1.515
1251	1.424
1252	1.351
1253	1.259
1254	1.229
1255	1.371
1256	1.27
1257	1.114
1258	0.893
1259	0.906
1260	0.711
1261	0.83
1262	0.696
1263	0.819
1264	0.528
1265	0.584
1266	0.763
1267	0.793
1268	1.015
1269	1.101
1270	1.037
1271	1.133
1272	0.872
1273	1.103
1274	0.97
1275	0.948
1276	0.84
1277	0.948
1278	0.951
1279	1.045
1280	0.875
1281	1.146
1282	0.965
1283	0.914
1284	1.109
1285	1.162
1286	1.092
1287	1.421
1288	0.989
1289	0.809
1290	0.859
1291	0.73
1292	0.612
1293	0.646
1294	0.704
1295	0.576
1296	0.652
1297	1.169
1298	0.818
1299	0.662
1300	0.797
1301	0.747
1302	0.646
1303	0.562
1304	0.646
1305	0.747
1306	1.016
1307	0.887
1308	1.184
1309	1.19
1310	0.922
1311	0.907
1312	1.036
1313	1.122
1314	0.914
1315	0.704
1316	0.64
1317	0.825
1318	1.021
1319	1.001
1320	1.309
1321	1.117
1322	0.781
1323	0.934
1324	0.979
1325	0.914
1326	1.138
1327	1.34
1328	1.469
1329	1.023
1330	1.091
1331	1.091
1332	1.089
1333	1.484
1334	1.128
1335	1.058
1336	0.692
1337	0.811
1338	0.973
1339	1.09
1340	0.621
1341	0.624
1342	0.704
1343	0.55
1344	0.898
1345	1.476
1346	1.052
1347	0.864
1348	0.776
1349	0.652
1350	0.558
1351	0.751
1352	0.537
1353	1.158
1354	0.906
1355	0.636
1356	0.744
1357	0.709
1358	0.564
1359	0.75
1360	0.699
1361	0.696
1362	0.78
1363	0.86
1364	0.964
1365	0.861
1366	0.846
1367	0.846
1368	0.852
1369	0.766
1370	0.64
1371	0.697
1372	0.675
1373	0.669
1374	1.068
1375	0.947
1376	0.61
1377	0.64
1378	0.906
1379	1.049
1380	0.906
1381	0.804
1382	0.739
1383	0.509
1384	0.356
1385	0.595
1386	0.818
1387	0.819
1388	0.856
1389	1.083
1390	1.212
1391	1.571
1392	1.345
1393	1.191
1394	0.95
1395	0.995
1396	0.775
1397	0.88
1398	0.842
1399	0.671
1400	0.745
1401	0.556
1402	0.569
1403	0.732
1404	0.846
1405	0.539
1406	0.335
1407	0.494
1408	0.467
1409	0.703
1410	0.785
1411	0.712
1412	0.764
1413	0.708
1414	0.515
1415	0.535
1416	0.447
1417	0.355
1418	0.495
1419	0.647
1420	0.575
1421	0.636
1422	0.464
1423	0.598
1424	0.766
1425	0.618
1426	0.564
1427	0.726
1428	0.918
1429	0.842
1430	0.943
1431	1.253
1432	0.916
1433	0.902
1434	0.714
1435	1.029
1436	1.097
1437	1.26
1438	0.901
1439	1.034
1440	1.11
1441	0.945
1442	0.926
1443	0.963
1444	0.954
1445	0.9
1446	1.005
1447	1.182
1448	1.224
1449	1.494
1450	1.356
1451	1.242
1452	1.223
1453	1.279
1454	1.269
1455	1.164
1456	1.262
1457	1.275
1458	1.135
1459	1.483
1460	0.997
1461	1.115
1462	1.203
1463	1.072
1464	0.967
1465	0.965
1466	0.725
1467	0.76
1468	0.704
1469	0.937
1470	0.842
1471	0.961
1472	0.616
1473	0.904
1474	0.813
1475	0.656
1476	0.853
1477	0.895
1478	0.973
1479	0.861
1480	0.969
1481	0.696
1482	0.7
1483	0.924
1484	0.704
1485	0.834
1486	0.807
1487	0.383
1488	0.619
1489	1.116
1490	0.979
1491	0.695
1492	0.621
1493	1.013
1494	0.837
1495	1.073
1496	1.141
1497	1.056
1498	1.262
1499	1.048
1500	1.097
1501	0.943
1502	1.177
1503	1.05
1504	1.121
1505	1.14
1506	1.131
1507	0.926
1508	0.985
1509	0.784
1510	0.837
1511	1.129
1512	0.765
1513	0.987
1514	0.98
1515	1.075
1516	1.174
1517	1.134
1518	1.101
1519	1.104
1520	1.082
1521	1.013
1522	0.868
1523	1.051
1524	0.818
1525	1.035
1526	1.081
1527	0.807
1528	0.6
1529	0.924
1530	1.117
1531	1.085
1532	1.026
1533	1.358
1534	1.208
1535	1.514
1536	1.615
1537	1.649
1538	0.891
1539	0.971
1540	1.051
1541	0.777
1542	0.865
1543	1.122
1544	0.993
1545	1.148
1546	1.086
1547	0.926
1548	0.72
1549	1.108
1550	1.117
1551	1.266
1552	0.882
1553	1.022
1554	1.056
1555	1.053
1556	0.871
1557	0.984
1558	0.875
1559	1.29
1560	1.191
1561	1.36
1562	1.135
1563	0.965
1564	1.071
1565	1.209
1566	0.674
1567	0.552
1568	0.587
1569	0.575
1570	0.544
1571	0.907
1572	0.79
1573	1.087
1574	1.017
1575	1.089
1576	0.949
1577	1.014
1578	1.045
1579	1.086
1580	1.098
1581	1.082
1582	1.137
1583	1.014
1584	0.948
1585	0.777
1586	0.945
1587	0.94
1588	0.896
1589	0.706
1590	0.832
1591	0.792
1592	0.855
1593	0.831
1594	0.689
1595	0.861
1596	0.777
1597	0.843
1598	0.633
1599	0.688
1600	0.669
1601	0.96
1602	0.36
1603	0.35
1604	0.734
1605	0.819
1606	0.942
1607	1.369
1608	1.284
1609	1.681
1610	1.724
1611	1.571
1612	1.419
1613	1.319
1614	1.44
1615	1.476
1616	1.152
1617	1.278
1618	1.076
1619	1.439
1620	1.212
1621	1.126
1622	0.712
1623	0.862
1624	0.948
1625	0.672
1626	0.377
1627	0.807
1628	0.731
1629	1.165
1630	1.253
1631	1.124
1632	0.969
1633	0.959
1634	1.218
1635	1.121
1636	1.134
1637	0.71
1638	0.83
1639	0.85
1640	0.597
1641	0.573
1642	0.74
1643	0.56
1644	0.548
1645	0.799
1646	1.107
1647	1.439
1648	1.377
1649	1.074
1650	1.054
1651	1.091
1652	0.888
1653	0.98
1654	0.943
1655	0.941
1656	1.059
1657	0.774
1658	1.023
1659	1.001
1660	1.025
1661	1.055
1662	0.634
1663	0.825
1664	0.907
1665	0.956
1666	0.837
1667	0.989
1668	1.046
1669	0.916
1670	0.842
1671	1.039
1672	0.973
1673	0.852
1674	0.787
1675	0.79
1676	0.72
1677	0.548
1678	0.578
1679	1.001
1680	1.503
1681	1.452
1682	1.1
1683	1.416
1684	1.049
1685	1.181
1686	0.968
1687	0.594
1688	0.613
1689	0.734
1690	0.616
1691	0.776
1692	0.825
1693	0.999
1694	1.28
1695	1.474
1696	0.97
1697	1.041
1698	1.101
1699	0.953
1700	1.152
1701	1.102
1702	1.032
1703	1.445
1704	1.224
1705	1.197
1706	1.296
1707	1.306
1708	1.261
1709	0.896
1710	0.851
1711	1.071
1712	1.003
1713	0.999
1714	1.166
1715	0.996
1716	1.093
1717	1.184
1718	1.084
1719	1.444
1720	1.207
1721	1.186
1722	1.067
1723	1.129
1724	0.506
1725	0.675
1726	0.968
1727	0.849
1728	1.156
1729	0.932
1730	1.144
1731	0.872
1732	0.861
1733	1.26
1734	1.125
1735	0.569
1736	0.995
1737	1.084
1738	0.798
1739	0.941
1740	0.842
1741	0.312
1742	0.514
1743	0.773
1744	0.746
1745	0.971
1746	0.997
1747	1.316
1748	1.248
1749	1.692
1750	1.608
1751	1.248
1752	0.607
1753	0.82
1754	1.158
1755	1.045
1756	0.894
1757	1.04
1758	1.132
1759	1.373
1760	1.527
1761	1.441
1762	1.078
1763	1.113
1764	0.967
1765	0.69
1766	0.814
1767	0.652
1768	0.753
1769	0.915
1770	0.923
1771	0.502
1772	0.679
1773	0.827
1774	0.802
1775	1.015
1776	0.89
1777	1.093
1778	1.04
1779	1.413
1780	1.244
1781	0.731
1782	0.849
1783	0.988
1784	1.048
1785	0.943
1786	0.952
1787	0.807
1788	0.905
1789	0.872
1790	1
1791	1.216
1792	1.142
1793	1.184
1794	0.957
1795	0.853
1796	0.777
1797	0.938
1798	0.846
1799	1.088
1800	1.112
1801	1.233
1802	1.25
1803	1.074
1804	1.526
1805	1.088
1806	1.255
1807	1.466
1808	1.565
1809	1.492
1810	1.338
1811	1.08
1812	1.124
1813	1.218
1814	1.219
1815	1.337
1816	0.972
1817	0.888
1818	0.987
1819	0.974
1820	0.733
1821	0.928
1822	0.539
1823	1.022
1824	1.591
1825	1.546
1826	1.043
1827	1.19
1828	1.24
1829	1.325
1830	0.751
1831	1.163
1832	1.086
1833	1.22
1834	0.654
1835	0.605
1836	0.712
1837	1.11
1838	1.389
1839	1.202
1840	0.86
1841	1.449
1842	1.325
1843	1.429
1844	1.172
1845	1.126
1846	0.912
1847	0.525
1848	0.843
1849	0.623
1850	0.72
1851	0.559
1852	0.869
1853	1.087
1854	0.779
1855	0.905
1856	1.156
1857	1.197
1858	1.212
1859	1.083
1860	0.798
1861	0.726
1862	0.968
1863	1.187
1864	1.109
1865	1.144
1866	1.239
1867	0.898
1868	1.298
1869	1.211
1870	0.737
1871	1.034
1872	0.56
1873	0.632
1874	0.877
1875	0.985
1876	1.252
1877	1.345
1878	1.494
1879	1.305
1880	0.99
1881	1.048
1882	1.221
1883	0.964
1884	1.109
1885	1.246
1886	1.056
1887	0.622
1888	0.871
1889	0.801
1890	0.959
1891	1.018
1892	0.961
1893	0.825
1894	0.955
1895	1.003
1896	0.83
1897	0.968
1898	1.178
1899	0.741
1900	0.766
1901	1.013
1902	1.018
1903	0.898
1904	0.945
1905	1.453
1906	1.292
1907	0.539
1908	0.849
1909	1.073
1910	0.859
1911	0.951
1912	1.047
1913	0.787
1914	0.847
1915	0.883
1916	0.506
1917	0.578
1918	0.528
1919	0.71
1920	0.561
1921	1.004
1922	0.856
1923	0.831
1924	0.833
1925	0.806
1926	0.926
1927	0.938
1928	0.974
1929	0.757
1930	0.763
1931	1.089
1932	0.997
1933	0.839
1934	0.99
1935	0.347
1936	0.646
1937	0.816
1938	0.393
1939	0.44
1940	0.578
1941	0.675
1942	1.089
1943	0.837
1944	0.917
1945	0.964
1946	0.882
1947	0.841
1948	0.766
1949	0.693
1950	0.505
1951	0.664
1952	0.576
1953	0.724
1954	0.455
1955	0.567
1956	0.382
1957	0.93
1958	0.863
1959	0.737
1960	0.606
1961	0.865
1962	0.648
1963	0.982
1964	1.157
1965	1.156
1966	0.652
1967	0.838
1968	0.62
1969	0.889
1970	0.644
1971	0.837
1972	1.07
1973	0.734
1974	0.443
1975	0.428
1976	0.659
1977	0.621
1978	0.588
1979	0.587
1980	0.534
1981	0.388
1982	0.726
1983	0.889
1984	0.806
1985	0.555
1986	0.661
1987	0.964
1988	0.801
1989	0.819
1990	0.926
1991	1.177
1992	0.894