ÃÂ¯ÃÂ»ÃÂ¿# australia_ausl003 - Lake Newdegate - 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/3836
#
# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: australia_ausl003 - Lake Newdegate - 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: Lake Newdegate
#	Location:
#	Country: Australia
#	Northernmost_Latitude: -42.67
#	Southernmost_Latitude: -42.67
#	Easternmost_Longitude: 146.55
#	Westernmost_Longitude: 146.55
#	Elevation: 1200 m
#--------------------
# Data_Collection
#	Collection_Name: australia_ausl003B
#	Earliest_Year: 1286
#	Most_Recent_Year: 1974
#	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":"5.40017440205","T2":"18.193266404","M1":"0.0225060274991","M2":"0.447976735296"}}
#--------------------
# Species
#	Species_Name: pencil pine
#	Species_Code: ATCU
#--------------------
# 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
1286	1.04
1287	0.982
1288	0.898
1289	1.042
1290	1.026
1291	1.086
1292	0.925
1293	0.994
1294	1.097
1295	1.021
1296	1.132
1297	1.236
1298	0.886
1299	1.032
1300	0.93
1301	0.853
1302	0.871
1303	0.898
1304	0.691
1305	0.907
1306	0.822
1307	0.839
1308	0.797
1309	0.762
1310	0.858
1311	0.841
1312	0.937
1313	0.903
1314	0.869
1315	1.107
1316	0.999
1317	1.019
1318	0.825
1319	1.106
1320	0.973
1321	0.891
1322	1.085
1323	0.78
1324	0.636
1325	0.66
1326	0.606
1327	0.672
1328	0.82
1329	0.895
1330	1.004
1331	1.028
1332	1.147
1333	1.219
1334	1.035
1335	1.34
1336	1.009
1337	0.877
1338	1.035
1339	1.19
1340	1.029
1341	1.093
1342	1.169
1343	1.075
1344	0.861
1345	0.79
1346	0.736
1347	1.042
1348	0.862
1349	1.224
1350	1.25
1351	1.128
1352	1.361
1353	1.097
1354	1.374
1355	0.966
1356	1.185
1357	1.216
1358	1.2
1359	1.048
1360	0.825
1361	0.798
1362	0.647
1363	0.698
1364	0.808
1365	0.873
1366	0.845
1367	0.863
1368	0.773
1369	0.732
1370	0.84
1371	0.776
1372	0.881
1373	0.952
1374	1.222
1375	1.048
1376	0.959
1377	1.056
1378	0.974
1379	0.909
1380	0.842
1381	1.018
1382	1.107
1383	0.688
1384	1.042
1385	0.961
1386	0.848
1387	0.875
1388	1.224
1389	0.985
1390	0.921
1391	0.968
1392	0.919
1393	0.794
1394	0.951
1395	1.274
1396	1.035
1397	1.123
1398	0.988
1399	1.226
1400	1.148
1401	1.076
1402	1.034
1403	0.918
1404	1.069
1405	0.847
1406	1.021
1407	1.052
1408	0.945
1409	0.888
1410	0.974
1411	0.762
1412	0.849
1413	0.772
1414	1.003
1415	0.984
1416	0.92
1417	0.793
1418	0.86
1419	0.783
1420	1.142
1421	0.958
1422	1.074
1423	0.966
1424	1.098
1425	1.048
1426	1.108
1427	1.101
1428	1.122
1429	1.315
1430	1.011
1431	1.024
1432	1.196
1433	1.151
1434	1.459
1435	1.341
1436	1.102
1437	1.154
1438	1.201
1439	1.159
1440	1.271
1441	0.904
1442	0.987
1443	1.323
1444	1.14
1445	1.213
1446	0.986
1447	0.981
1448	0.799
1449	0.951
1450	1.003
1451	0.922
1452	1.02
1453	0.916
1454	0.95
1455	0.967
1456	0.874
1457	0.981
1458	0.952
1459	1.108
1460	1.403
1461	1.125
1462	1.297
1463	1.153
1464	1.129
1465	1.01
1466	1.237
1467	1.189
1468	1.525
1469	1.533
1470	1.343
1471	1.475
1472	1.333
1473	1.322
1474	0.969
1475	1.06
1476	1.168
1477	1.277
1478	1.217
1479	1.07
1480	1.152
1481	1.079
1482	0.953
1483	0.872
1484	0.937
1485	1.236
1486	1.082
1487	1.2
1488	1.099
1489	1.042
1490	1.147
1491	0.973
1492	1.049
1493	1.174
1494	0.999
1495	1.041
1496	0.998
1497	1.007
1498	0.938
1499	0.787
1500	1.26
1501	0.98
1502	1.045
1503	1.167
1504	1.149
1505	0.811
1506	0.993
1507	1.029
1508	1.004
1509	0.912
1510	1.063
1511	0.997
1512	0.706
1513	0.993
1514	1.114
1515	0.759
1516	0.962
1517	0.832
1518	0.771
1519	0.994
1520	0.945
1521	0.87
1522	0.667
1523	0.764
1524	0.766
1525	0.718
1526	0.685
1527	0.706
1528	0.586
1529	0.719
1530	1.011
1531	0.859
1532	0.836
1533	0.884
1534	0.962
1535	1.006
1536	0.959
1537	0.779
1538	0.738
1539	0.875
1540	0.934
1541	0.991
1542	0.81
1543	0.885
1544	0.777
1545	0.662
1546	0.781
1547	0.681
1548	0.749
1549	0.957
1550	1.002
1551	0.939
1552	1.018
1553	1.082
1554	0.766
1555	0.907
1556	0.879
1557	1.13
1558	0.97
1559	0.917
1560	1.107
1561	0.802
1562	0.678
1563	0.747
1564	0.782
1565	0.882
1566	0.768
1567	0.77
1568	0.644
1569	0.98
1570	1.171
1571	1.063
1572	1.107
1573	1.08
1574	0.812
1575	0.907
1576	0.904
1577	0.906
1578	1.003
1579	1.044
1580	1.116
1581	0.919
1582	1.014
1583	1.053
1584	0.94
1585	0.837
1586	0.898
1587	0.952
1588	0.78
1589	0.729
1590	0.861
1591	0.853
1592	0.892
1593	0.98
1594	0.843
1595	0.846
1596	0.736
1597	0.983
1598	1.065
1599	1.069
1600	0.963
1601	0.908
1602	0.999
1603	1.174
1604	1.125
1605	1.004
1606	0.677
1607	0.712
1608	0.989
1609	0.931
1610	1.191
1611	1.053
1612	0.944
1613	1.068
1614	0.907
1615	1.144
1616	0.915
1617	0.96
1618	1.429
1619	1.272
1620	1.332
1621	1.338
1622	1.183
1623	0.909
1624	1.214
1625	1.138
1626	0.975
1627	1.205
1628	1.15
1629	1.165
1630	0.967
1631	0.971
1632	1.141
1633	1.064
1634	1.104
1635	1.069
1636	1.248
1637	1.055
1638	0.957
1639	1.081
1640	1.063
1641	0.858
1642	0.721
1643	0.79
1644	0.821
1645	0.731
1646	0.721
1647	0.805
1648	0.826
1649	0.996
1650	0.823
1651	1.02
1652	1.025
1653	1.042
1654	1.289
1655	1.35
1656	1.008
1657	1.204
1658	1.102
1659	1.113
1660	1.207
1661	1.27
1662	1.248
1663	0.877
1664	0.851
1665	1.067
1666	1.198
1667	1.016
1668	1.166
1669	1.142
1670	1.564
1671	1.234
1672	1.332
1673	1.005
1674	1.102
1675	0.928
1676	1.005
1677	0.982
1678	0.758
1679	0.799
1680	0.984
1681	1.057
1682	1.022
1683	0.859
1684	0.951
1685	0.884
1686	0.887
1687	0.903
1688	0.977
1689	1.158
1690	1.302
1691	0.979
1692	1.09
1693	1.12
1694	0.966
1695	1.082
1696	0.902
1697	0.931
1698	0.986
1699	1.067
1700	0.715
1701	0.845
1702	0.891
1703	1.146
1704	1.079
1705	0.854
1706	1.179
1707	1.11
1708	1.121
1709	0.966
1710	1.089
1711	1.031
1712	0.918
1713	0.925
1714	1.207
1715	1.178
1716	1.266
1717	0.916
1718	0.9
1719	0.897
1720	1.158
1721	0.956
1722	0.884
1723	0.945
1724	0.702
1725	0.698
1726	0.902
1727	0.875
1728	0.691
1729	1
1730	0.926
1731	1.047
1732	0.888
1733	0.804
1734	0.845
1735	0.911
1736	0.811
1737	0.935
1738	0.768
1739	1.097
1740	1.111
1741	1.085
1742	1.093
1743	0.982
1744	0.933
1745	0.805
1746	0.815
1747	0.952
1748	0.964
1749	0.701
1750	0.757
1751	0.865
1752	0.883
1753	1.07
1754	1.068
1755	1.087
1756	1.303
1757	1.183
1758	1.293
1759	1.241
1760	1.162
1761	0.822
1762	0.876
1763	0.971
1764	1.055
1765	1.175
1766	1.359
1767	1.405
1768	1.261
1769	1.231
1770	1.577
1771	1.282
1772	1.4
1773	1.012
1774	1
1775	1.074
1776	0.952
1777	0.582
1778	0.761
1779	0.89
1780	0.882
1781	0.694
1782	0.757
1783	0.634
1784	0.804
1785	0.768
1786	0.665
1787	0.713
1788	0.869
1789	1.022
1790	0.757
1791	0.789
1792	0.906
1793	0.768
1794	0.67
1795	0.809
1796	0.71
1797	0.857
1798	1.077
1799	1.06
1800	1.309
1801	0.908
1802	1.2
1803	1.108
1804	1.254
1805	1.054
1806	0.983
1807	1.139
1808	0.965
1809	1.049
1810	1.145
1811	1.047
1812	0.859
1813	0.868
1814	0.675
1815	0.913
1816	0.892
1817	0.848
1818	0.848
1819	0.799
1820	0.843
1821	0.952
1822	0.846
1823	0.779
1824	1.059
1825	1.178
1826	0.864
1827	1.05
1828	0.72
1829	1.156
1830	1.062
1831	1.025
1832	0.837
1833	0.961
1834	1.115
1835	1.126
1836	1.077
1837	0.923
1838	0.867
1839	1.055
1840	1.163
1841	1.236
1842	1.175
1843	1.091
1844	0.841
1845	0.848
1846	1.066
1847	1.061
1848	0.936
1849	0.808
1850	1.039
1851	1.087
1852	0.859
1853	0.807
1854	1.033
1855	1.071
1856	1.107
1857	0.999
1858	1.062
1859	1.165
1860	1.403
1861	1.258
1862	1.495
1863	1.208
1864	0.989
1865	1.194
1866	1.396
1867	1.251
1868	1.08
1869	1.113
1870	1.389
1871	1.345
1872	1.164
1873	1.277
1874	1.288
1875	1.221
1876	1.011
1877	1.34
1878	1.212
1879	1.051
1880	1.02
1881	1.079
1882	1.309
1883	1.162
1884	1.183
1885	1.17
1886	1.42
1887	1.189
1888	1.47
1889	1.269
1890	0.892
1891	1.089
1892	0.919
1893	1.084
1894	1.044
1895	0.982
1896	1.029
1897	0.951
1898	0.839
1899	0.935
1900	1.171
1901	0.782
1902	0.736
1903	0.941
1904	0.713
1905	0.699
1906	0.824
1907	0.89
1908	0.508
1909	0.764
1910	0.75
1911	0.547
1912	0.506
1913	0.588
1914	0.622
1915	0.654
1916	0.636
1917	0.696
1918	0.964
1919	1.071
1920	1.004
1921	0.81
1922	0.839
1923	0.808
1924	0.787
1925	0.753
1926	0.783
1927	0.825
1928	0.81
1929	0.873
1930	0.888
1931	0.898
1932	0.798
1933	0.864
1934	0.643
1935	0.912
1936	0.817
1937	0.826
1938	0.954
1939	0.973
1940	1.025
1941	0.919
1942	1.05
1943	0.952
1944	0.935
1945	0.969
1946	1.011
1947	0.934
1948	0.892
1949	0.814
1950	1.167
1951	0.865
1952	0.903
1953	1.139
1954	1.011
1955	1.089
1956	0.84
1957	1.012
1958	1.218
1959	1.031
1960	1.384
1961	1.163
1962	1.142
1963	1.081
1964	0.881
1965	0.949
1966	0.832
1967	1.03
1968	0.948
1969	0.834
1970	1.049
1971	1.052
1972	1.366
1973	1.389
1974	1.306