ÃÂ¯ÃÂ»ÃÂ¿# australia_newz067 - Moa Park - 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/5368
#
# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: australia_newz067 - Moa Park - 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: Moa Park
#	Location:
#	Country: New Zealand
#	Northernmost_Latitude: -40.93
#	Southernmost_Latitude: -40.93
#	Easternmost_Longitude: 172.93
#	Westernmost_Longitude: 172.93
#	Elevation: 1036 m
#--------------------
# Data_Collection
#	Collection_Name: australia_newz067B
#	Earliest_Year: 1490
#	Most_Recent_Year: 1991
#	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":"5.26257996084","T2":"12.5606180916","M1":"0.0224176796802","M2":"0.526663409535"}}
#--------------------
# 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
1490	0.601
1491	0.529
1492	0.543
1493	0.543
1494	0.586
1495	0.514
1496	0.514
1497	0.499
1498	0.557
1499	0.406
1500	0.441
1501	0.495
1502	0.388
1503	0.396
1504	0.441
1505	0.468
1506	0.612
1507	0.488
1508	0.574
1509	0.541
1510	0.713
1511	0.528
1512	0.489
1513	0.717
1514	0.643
1515	0.758
1516	0.818
1517	0.591
1518	0.566
1519	0.611
1520	0.968
1521	1.228
1522	1.219
1523	1.138
1524	1.046
1525	1.223
1526	1.281
1527	1.303
1528	1.136
1529	1.033
1530	1.197
1531	0.892
1532	0.782
1533	0.829
1534	0.791
1535	0.757
1536	0.759
1537	0.795
1538	0.735
1539	0.736
1540	0.64
1541	0.495
1542	0.542
1543	0.638
1544	0.583
1545	0.401
1546	0.438
1547	0.576
1548	0.569
1549	0.515
1550	0.405
1551	0.532
1552	0.577
1553	0.679
1554	0.781
1555	0.755
1556	0.801
1557	0.638
1558	0.481
1559	0.56
1560	0.566
1561	0.504
1562	0.518
1563	0.451
1564	0.651
1565	0.668
1566	0.415
1567	0.319
1568	0.538
1569	0.593
1570	0.635
1571	0.562
1572	0.521
1573	0.746
1574	0.777
1575	0.637
1576	0.705
1577	0.766
1578	0.838
1579	0.723
1580	0.685
1581	0.681
1582	0.77
1583	0.711
1584	0.677
1585	0.648
1586	0.771
1587	0.759
1588	0.564
1589	0.585
1590	0.827
1591	0.793
1592	0.815
1593	0.85
1594	0.844
1595	0.662
1596	0.836
1597	0.756
1598	0.84
1599	0.995
1600	0.954
1601	1.046
1602	0.574
1603	0.588
1604	0.662
1605	0.699
1606	0.702
1607	0.77
1608	0.658
1609	0.769
1610	0.693
1611	0.862
1612	0.887
1613	0.821
1614	0.83
1615	1.014
1616	0.883
1617	1.069
1618	0.921
1619	0.739
1620	0.702
1621	0.688
1622	0.709
1623	0.727
1624	0.86
1625	0.684
1626	0.484
1627	0.544
1628	0.617
1629	0.804
1630	0.916
1631	0.848
1632	0.94
1633	0.731
1634	0.836
1635	0.89
1636	1.089
1637	0.828
1638	0.96
1639	0.999
1640	0.9
1641	0.894
1642	0.941
1643	0.864
1644	0.847
1645	0.904
1646	0.815
1647	1.006
1648	0.88
1649	0.648
1650	0.804
1651	0.916
1652	0.674
1653	1.035
1654	0.9
1655	0.9
1656	1.067
1657	1.067
1658	1.358
1659	0.882
1660	0.839
1661	0.905
1662	0.767
1663	0.902
1664	0.98
1665	1.035
1666	0.874
1667	0.728
1668	0.912
1669	1.226
1670	1.073
1671	1.417
1672	1.154
1673	1.233
1674	1.084
1675	1.041
1676	0.858
1677	1.092
1678	1.129
1679	1.163
1680	1.276
1681	1.362
1682	1
1683	1.188
1684	1.212
1685	1.455
1686	1.124
1687	1.135
1688	1.313
1689	1.381
1690	1.255
1691	1.021
1692	1.29
1693	1.36
1694	1.474
1695	1.339
1696	1.053
1697	1.083
1698	0.985
1699	1.042
1700	1.11
1701	1.042
1702	0.895
1703	1.12
1704	0.937
1705	0.934
1706	1.214
1707	1.059
1708	0.963
1709	1.046
1710	0.965
1711	1.035
1712	1.223
1713	1.026
1714	1.185
1715	1.373
1716	1.298
1717	1.133
1718	0.898
1719	0.901
1720	0.996
1721	1.013
1722	0.813
1723	1
1724	0.887
1725	0.994
1726	1.25
1727	1.258
1728	1.804
1729	1.444
1730	1.371
1731	1.231
1732	1.068
1733	1.304
1734	1.382
1735	1.212
1736	1.267
1737	1.112
1738	0.977
1739	1.145
1740	1.05
1741	0.663
1742	0.852
1743	1.315
1744	0.899
1745	1.126
1746	1.076
1747	1.062
1748	1.136
1749	1.175
1750	1.478
1751	1.5
1752	1.025
1753	0.981
1754	1.335
1755	1.173
1756	1.045
1757	0.968
1758	0.814
1759	0.847
1760	1.248
1761	1.301
1762	1.337
1763	1.456
1764	1.413
1765	0.955
1766	1.172
1767	1.074
1768	0.923
1769	1.279
1770	0.966
1771	1.149
1772	1.209
1773	1.12
1774	1.142
1775	1.154
1776	0.95
1777	1.006
1778	1.14
1779	0.987
1780	0.994
1781	1.332
1782	1.215
1783	1.291
1784	0.952
1785	0.917
1786	0.978
1787	0.873
1788	0.933
1789	0.986
1790	0.951
1791	1.054
1792	1.156
1793	1.125
1794	0.849
1795	0.977
1796	0.9
1797	0.938
1798	0.859
1799	0.992
1800	1
1801	0.861
1802	0.977
1803	1.006
1804	1.218
1805	1.2
1806	1.158
1807	1.176
1808	1.231
1809	1.2
1810	0.986
1811	0.695
1812	0.889
1813	0.786
1814	0.561
1815	0.941
1816	0.85
1817	0.793
1818	0.984
1819	0.685
1820	0.867
1821	1.051
1822	0.976
1823	0.913
1824	0.988
1825	1.162
1826	0.839
1827	1.16
1828	1.285
1829	1.232
1830	0.922
1831	1.102
1832	1.086
1833	0.899
1834	0.538
1835	0.665
1836	0.815
1837	0.825
1838	1.174
1839	1.006
1840	0.712
1841	0.877
1842	0.868
1843	0.856
1844	0.867
1845	1.027
1846	0.612
1847	0.601
1848	0.868
1849	0.963
1850	1.063
1851	0.93
1852	1.221
1853	0.94
1854	0.602
1855	0.693
1856	0.948
1857	0.942
1858	0.94
1859	0.914
1860	1.155
1861	1.085
1862	1.06
1863	1.088
1864	1.104
1865	1.253
1866	1.38
1867	1.172
1868	1.299
1869	1.244
1870	0.821
1871	1.062
1872	0.736
1873	0.755
1874	0.938
1875	0.968
1876	1.202
1877	1.121
1878	1.327
1879	1.493
1880	1.333
1881	1.132
1882	1.153
1883	1.087
1884	1.094
1885	1.017
1886	1.075
1887	0.684
1888	1.045
1889	1.088
1890	1.175
1891	1.129
1892	1.183
1893	1.284
1894	0.982
1895	0.948
1896	1.018
1897	1.017
1898	1.259
1899	1.047
1900	1.071
1901	1.075
1902	0.973
1903	0.831
1904	0.646
1905	0.647
1906	0.627
1907	0.544
1908	0.493
1909	0.409
1910	0.507
1911	0.596
1912	0.528
1913	0.58
1914	0.753
1915	0.933
1916	0.725
1917	0.949
1918	1.068
1919	1.024
1920	1.095
1921	1.425
1922	1.307
1923	1.313
1924	0.893
1925	0.888
1926	1.012
1927	0.809
1928	0.655
1929	0.585
1930	0.531
1931	0.645
1932	0.749
1933	0.879
1934	1.14
1935	0.708
1936	0.998
1937	1.048
1938	0.891
1939	0.44
1940	0.491
1941	0.544
1942	0.597
1943	0.574
1944	0.785
1945	0.76
1946	0.762
1947	0.749
1948	0.777
1949	0.929
1950	0.879
1951	1.13
1952	1.078
1953	0.956
1954	0.679
1955	0.705
1956	0.585
1957	0.62
1958	0.481
1959	0.47
1960	0.478
1961	0.598
1962	0.65
1963	0.861
1964	0.996
1965	1.099
1966	0.933
1967	0.851
1968	0.807
1969	0.771
1970	0.609
1971	0.574
1972	0.623
1973	0.552
1974	0.52
1975	0.588
1976	0.683
1977	0.781
1978	0.766
1979	1.145
1980	1.224
1981	0.819
1982	0.996
1983	1.191
1984	1.205
1985	1.139
1986	0.978
1987	1.1
1988	1.166
1989	1.24
1990	1.145
1991	1.058