ÃÂ¯ÃÂ»ÃÂ¿# australia_newz011 - Mangawhero R.B. - 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/3135
#
# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: australia_newz011 - Mangawhero R.B. - 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: Mangawhero R.B.
#	Location:
#	Country: New Zealand
#	Northernmost_Latitude: -39.35
#	Southernmost_Latitude: -39.35
#	Easternmost_Longitude: 175.48
#	Westernmost_Longitude: 175.48
#	Elevation: 1000 m
#--------------------
# Data_Collection
#	Collection_Name: australia_newz011B
#	Earliest_Year: 1464
#	Most_Recent_Year: 1976
#	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":"5.52395140288","T2":"16.1986587521","M1":"0.0226066794819","M2":"0.402337225132"}}
#--------------------
# Species
#	Species_Name: silver pine
#	Species_Code: DACO
#--------------------
# 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
1464	0.969
1465	1.104
1466	1.08
1467	1.154
1468	0.958
1469	0.849
1470	0.81
1471	0.92
1472	0.874
1473	0.866
1474	0.867
1475	0.814
1476	0.772
1477	0.913
1478	0.886
1479	0.886
1480	0.693
1481	0.75
1482	0.636
1483	0.698
1484	0.715
1485	0.667
1486	0.666
1487	0.751
1488	0.632
1489	0.598
1490	0.708
1491	0.853
1492	0.694
1493	0.822
1494	0.762
1495	0.894
1496	0.717
1497	0.767
1498	0.878
1499	0.855
1500	0.917
1501	0.935
1502	0.912
1503	0.938
1504	0.869
1505	1.011
1506	0.816
1507	0.812
1508	1.04
1509	1.007
1510	1.018
1511	1.129
1512	1.094
1513	1.102
1514	0.804
1515	0.812
1516	0.785
1517	0.781
1518	0.808
1519	0.964
1520	0.973
1521	0.898
1522	0.931
1523	1.065
1524	0.806
1525	0.77
1526	0.946
1527	0.912
1528	0.966
1529	0.977
1530	1.094
1531	1.17
1532	1.302
1533	1.092
1534	0.947
1535	0.812
1536	1.043
1537	1.033
1538	0.936
1539	0.839
1540	0.97
1541	0.836
1542	0.993
1543	0.903
1544	0.866
1545	1.072
1546	1.04
1547	1.127
1548	1.122
1549	1.126
1550	1.091
1551	1.208
1552	0.945
1553	0.918
1554	0.953
1555	1.064
1556	1.114
1557	0.927
1558	0.924
1559	0.995
1560	1.009
1561	0.888
1562	1.02
1563	0.733
1564	0.844
1565	1.022
1566	0.973
1567	0.836
1568	1.007
1569	1.031
1570	1.124
1571	1.231
1572	0.993
1573	1.085
1574	1.078
1575	1.291
1576	1.214
1577	0.886
1578	1.331
1579	1.342
1580	1.312
1581	1.315
1582	1.169
1583	1.21
1584	1.481
1585	1.324
1586	1.34
1587	1.382
1588	1.483
1589	1.165
1590	1.152
1591	0.931
1592	1.257
1593	1.274
1594	1.11
1595	1.252
1596	1.094
1597	0.903
1598	1.051
1599	1.275
1600	1.242
1601	1.422
1602	1.131
1603	1.318
1604	1.128
1605	1.211
1606	1.003
1607	1.106
1608	1.212
1609	1.008
1610	1.35
1611	1.262
1612	1.029
1613	1.087
1614	1.052
1615	1.199
1616	0.984
1617	1.222
1618	1.04
1619	0.94
1620	1.021
1621	1.178
1622	0.889
1623	0.811
1624	0.888
1625	0.873
1626	0.862
1627	1.041
1628	0.908
1629	0.917
1630	1.09
1631	1.006
1632	1.267
1633	0.732
1634	0.65
1635	0.789
1636	1.035
1637	0.931
1638	0.889
1639	0.736
1640	0.837
1641	0.986
1642	0.88
1643	1.027
1644	0.716
1645	0.894
1646	0.673
1647	0.728
1648	0.757
1649	0.65
1650	0.759
1651	0.798
1652	0.582
1653	0.74
1654	0.745
1655	0.816
1656	0.964
1657	0.862
1658	1.07
1659	0.815
1660	0.634
1661	0.776
1662	0.869
1663	0.788
1664	0.805
1665	0.727
1666	0.772
1667	0.561
1668	0.742
1669	0.769
1670	0.677
1671	0.903
1672	0.999
1673	1.083
1674	1.058
1675	0.995
1676	0.896
1677	1.098
1678	0.745
1679	0.806
1680	0.715
1681	0.919
1682	0.792
1683	0.982
1684	0.964
1685	0.959
1686	0.785
1687	1.025
1688	1.054
1689	1.139
1690	1.083
1691	0.981
1692	0.895
1693	1.041
1694	1.011
1695	1.193
1696	0.921
1697	0.984
1698	1.006
1699	0.839
1700	0.843
1701	0.893
1702	1.003
1703	1.184
1704	1.164
1705	0.952
1706	1.143
1707	0.976
1708	0.885
1709	1.007
1710	0.763
1711	0.886
1712	1.259
1713	1.196
1714	0.974
1715	0.995
1716	1.009
1717	0.856
1718	0.63
1719	0.979
1720	0.969
1721	1.01
1722	0.816
1723	0.929
1724	1.148
1725	0.832
1726	0.953
1727	1.031
1728	1.09
1729	0.866
1730	1.197
1731	0.89
1732	0.952
1733	1.02
1734	0.941
1735	1.128
1736	0.88
1737	0.88
1738	1.026
1739	1.169
1740	1.242
1741	1.108
1742	1.205
1743	1.159
1744	0.87
1745	1.106
1746	0.9
1747	0.986
1748	1.187
1749	1.246
1750	0.981
1751	1.199
1752	1.065
1753	0.986
1754	1.01
1755	1.139
1756	1.292
1757	1.256
1758	0.944
1759	0.954
1760	0.996
1761	1.158
1762	1.061
1763	1.02
1764	1.161
1765	0.86
1766	1.299
1767	0.859
1768	0.93
1769	1.084
1770	0.936
1771	1.117
1772	1.288
1773	1.262
1774	1.091
1775	1.138
1776	1
1777	1.16
1778	1.27
1779	1.178
1780	1.447
1781	1.096
1782	0.988
1783	1.082
1784	0.907
1785	1.087
1786	1.216
1787	1.141
1788	0.862
1789	0.9
1790	0.791
1791	0.752
1792	0.657
1793	0.778
1794	0.999
1795	1.012
1796	1.084
1797	1.157
1798	0.95
1799	1.124
1800	1.293
1801	1.231
1802	1.078
1803	1.04
1804	1.029
1805	1.166
1806	0.969
1807	0.951
1808	1.202
1809	0.95
1810	0.915
1811	0.879
1812	0.957
1813	0.909
1814	0.921
1815	0.904
1816	0.805
1817	0.956
1818	1.097
1819	1.176
1820	1.115
1821	1.111
1822	1.114
1823	1.078
1824	1.098
1825	1.298
1826	0.853
1827	1.04
1828	0.927
1829	1.008
1830	1.234
1831	1.092
1832	0.736
1833	0.676
1834	1.252
1835	0.869
1836	0.896
1837	0.873
1838	0.793
1839	0.896
1840	0.867
1841	0.948
1842	0.897
1843	0.892
1844	0.907
1845	0.897
1846	1.018
1847	0.899
1848	1.091
1849	1.088
1850	1.15
1851	1.106
1852	0.945
1853	1.125
1854	1.043
1855	0.843
1856	0.846
1857	0.909
1858	0.889
1859	1.077
1860	0.977
1861	0.977
1862	0.962
1863	0.856
1864	0.946
1865	0.895
1866	1.046
1867	0.725
1868	0.822
1869	0.881
1870	0.888
1871	0.947
1872	0.61
1873	0.882
1874	0.857
1875	0.816
1876	0.829
1877	0.85
1878	0.892
1879	1.233
1880	0.712
1881	0.973
1882	0.931
1883	0.682
1884	0.771
1885	0.873
1886	1.004
1887	0.78
1888	0.875
1889	1.153
1890	1.063
1891	1.378
1892	1.491
1893	1.474
1894	1.446
1895	1.05
1896	1.14
1897	0.997
1898	1.048
1899	1.055
1900	1.09
1901	1.248
1902	1.003
1903	1.153
1904	1.198
1905	0.937
1906	1.216
1907	1.213
1908	1.096
1909	1.278
1910	1.027
1911	0.789
1912	0.778
1913	0.875
1914	0.904
1915	0.957
1916	0.922
1917	1.051
1918	0.709
1919	0.867
1920	0.922
1921	1.063
1922	0.892
1923	0.876
1924	0.81
1925	0.79
1926	0.836
1927	1.007
1928	1.043
1929	0.952
1930	0.662
1931	0.957
1932	1.259
1933	1.15
1934	1.361
1935	0.726
1936	1.005
1937	1.23
1938	0.728
1939	0.747
1940	0.791
1941	0.74
1942	0.893
1943	0.988
1944	0.988
1945	0.961
1946	0.86
1947	1.035
1948	0.871
1949	0.937
1950	1.077
1951	0.939
1952	1.004
1953	1.225
1954	1.213
1955	1.187
1956	1.091
1957	1.147
1958	1.194
1959	1.214
1960	1.192
1961	1.012
1962	0.809
1963	0.884
1964	0.891
1965	0.991
1966	0.988
1967	1.046
1968	0.914
1969	0.978
1970	0.768
1971	0.872
1972	0.929
1973	0.91
1974	0.836
1975	0.692
1976	0.883