ÃÂ¯ÃÂ»ÃÂ¿# australia_ausl007 - Pine Lake - 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/3844
#
# Description/Documentation lines begin with #
# Data lines have no #
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# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: australia_ausl007 - Pine Lake - 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 VaganovÃÂ¢ÃÂÃÂShashkin 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 4ÃÂ¢ÃÂÃÂ6 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 modelÃÂ¢ÃÂÃÂs 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: Pine Lake
#	Location:
#	Country: Australia
#	Northernmost_Latitude: -41.75
#	Southernmost_Latitude: -41.75
#	Easternmost_Longitude: 146.7
#	Westernmost_Longitude: 146.7
#	Elevation: 1200 m
#--------------------
# Data_Collection
#	Collection_Name: australia_ausl007B
#	Earliest_Year: 1514
#	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":"3.17121825771","T2":"11.7341704402","M1":"0.0227959697551","M2":"0.587254746375"}}
#--------------------
# 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
1514	1.244
1515	0.929
1516	1.058
1517	0.967
1518	1.066
1519	1.029
1520	1.074
1521	1.023
1522	0.785
1523	0.923
1524	0.955
1525	1.029
1526	1.052
1527	1.08
1528	1.036
1529	1.093
1530	1.122
1531	1.023
1532	0.938
1533	1.044
1534	1.116
1535	1.009
1536	1.081
1537	0.762
1538	0.736
1539	0.761
1540	0.856
1541	0.78
1542	0.75
1543	0.832
1544	0.855
1545	0.724
1546	0.808
1547	0.865
1548	0.731
1549	1.048
1550	1.055
1551	1.01
1552	1.008
1553	1.349
1554	0.919
1555	0.986
1556	0.967
1557	1.025
1558	0.862
1559	1.01
1560	1.04
1561	0.802
1562	0.879
1563	1.015
1564	0.97
1565	1.006
1566	0.926
1567	0.871
1568	0.734
1569	0.994
1570	1.036
1571	1.01
1572	0.956
1573	1.223
1574	1.068
1575	1.073
1576	1.035
1577	1.005
1578	1.259
1579	1.406
1580	1.261
1581	1.161
1582	1.229
1583	1.203
1584	1.113
1585	1.089
1586	1.088
1587	1.05
1588	0.876
1589	0.838
1590	0.865
1591	0.773
1592	0.933
1593	1.031
1594	0.991
1595	0.818
1596	0.825
1597	0.944
1598	0.704
1599	0.855
1600	0.797
1601	0.929
1602	0.961
1603	0.559
1604	0.866
1605	0.753
1606	0.831
1607	0.793
1608	0.921
1609	0.76
1610	0.956
1611	0.933
1612	0.886
1613	0.965
1614	1.126
1615	1.005
1616	1.073
1617	1.061
1618	1.093
1619	0.949
1620	0.898
1621	0.947
1622	0.945
1623	0.943
1624	1.136
1625	1.131
1626	1.069
1627	1.05
1628	0.859
1629	1.158
1630	1.025
1631	0.896
1632	0.923
1633	1.011
1634	1.279
1635	1.154
1636	1.056
1637	1.049
1638	1.036
1639	0.942
1640	0.95
1641	0.792
1642	0.964
1643	1.081
1644	0.96
1645	0.983
1646	1.035
1647	0.895
1648	0.957
1649	0.907
1650	0.84
1651	1.122
1652	0.881
1653	1.047
1654	1.139
1655	1.18
1656	0.822
1657	1.045
1658	0.945
1659	0.94
1660	0.83
1661	1.006
1662	1.077
1663	0.915
1664	1.085
1665	1.078
1666	1.123
1667	0.985
1668	0.998
1669	1.074
1670	1.31
1671	0.947
1672	1.224
1673	1.097
1674	1.267
1675	1.148
1676	1.205
1677	1.132
1678	0.583
1679	0.564
1680	0.784
1681	0.794
1682	0.756
1683	0.682
1684	0.735
1685	0.712
1686	0.87
1687	0.865
1688	0.729
1689	0.978
1690	1.269
1691	0.974
1692	0.968
1693	1.076
1694	0.988
1695	1.067
1696	0.72
1697	0.786
1698	0.919
1699	1.109
1700	0.653
1701	0.924
1702	0.904
1703	1.089
1704	1.049
1705	0.922
1706	1.245
1707	1.122
1708	1.056
1709	0.818
1710	1.086
1711	1.117
1712	0.998
1713	1.093
1714	1.147
1715	1.27
1716	1.252
1717	1.12
1718	1.12
1719	1.1
1720	1.375
1721	1.075
1722	1.116
1723	1.007
1724	0.815
1725	0.952
1726	1.021
1727	1.046
1728	0.74
1729	1.193
1730	0.92
1731	0.885
1732	0.844
1733	0.971
1734	0.937
1735	0.949
1736	0.883
1737	1.078
1738	0.924
1739	1.049
1740	0.997
1741	1.065
1742	1.22
1743	1.15
1744	1.161
1745	0.525
1746	0.745
1747	0.937
1748	0.921
1749	0.835
1750	0.948
1751	1.114
1752	1.118
1753	1.109
1754	0.914
1755	1.014
1756	0.93
1757	0.951
1758	1.05
1759	1.02
1760	0.947
1761	0.848
1762	0.923
1763	0.927
1764	0.947
1765	0.866
1766	1.005
1767	0.874
1768	0.778
1769	0.826
1770	1.103
1771	1.048
1772	1.271
1773	0.991
1774	0.989
1775	1.164
1776	0.952
1777	1.049
1778	1.107
1779	1.125
1780	1.079
1781	0.966
1782	1.121
1783	0.987
1784	1.022
1785	1.101
1786	1.157
1787	1.252
1788	1.414
1789	1.003
1790	0.749
1791	0.835
1792	0.928
1793	0.858
1794	0.856
1795	1.01
1796	0.903
1797	1.067
1798	1.214
1799	1.159
1800	1.134
1801	0.799
1802	1.077
1803	1.073
1804	1.101
1805	1.09
1806	0.944
1807	0.907
1808	0.987
1809	1.1
1810	1.092
1811	0.933
1812	0.961
1813	0.88
1814	0.557
1815	0.71
1816	0.838
1817	0.772
1818	0.795
1819	0.777
1820	0.9
1821	1.031
1822	1.088
1823	0.939
1824	1.094
1825	1.009
1826	0.935
1827	1.151
1828	0.956
1829	1.122
1830	1.022
1831	1.108
1832	0.863
1833	0.993
1834	0.955
1835	0.884
1836	1.003
1837	0.863
1838	0.801
1839	1.031
1840	0.974
1841	0.598
1842	0.903
1843	0.915
1844	1.065
1845	1.078
1846	1.11
1847	1
1848	0.907
1849	0.973
1850	1.211
1851	0.987
1852	0.901
1853	0.934
1854	1.047
1855	1.082
1856	1.095
1857	0.972
1858	1.01
1859	1.147
1860	1.352
1861	1.156
1862	1.371
1863	1.2
1864	1.121
1865	1.293
1866	1.098
1867	1.042
1868	0.92
1869	1.019
1870	1.089
1871	1.022
1872	0.828
1873	1.116
1874	1.275
1875	1.246
1876	1.093
1877	1.175
1878	1.079
1879	1.361
1880	1.094
1881	1.101
1882	1.107
1883	1.09
1884	1.022
1885	1.132
1886	1.059
1887	0.79
1888	1.065
1889	1.021
1890	0.428
1891	0.693
1892	0.607
1893	0.67
1894	0.726
1895	0.84
1896	1.021
1897	0.901
1898	0.509
1899	0.776
1900	0.727
1901	0.628
1902	0.644
1903	0.612
1904	0.645
1905	0.554
1906	0.86
1907	0.922
1908	0.485
1909	0.776
1910	0.804
1911	0.653
1912	0.614
1913	0.792
1914	0.798
1915	0.741
1916	0.901
1917	0.887
1918	1.138
1919	1.254
1920	1.155
1921	0.849
1922	0.938
1923	0.868
1924	0.995
1925	0.968
1926	1.018
1927	1.059
1928	0.96
1929	0.981
1930	1.194
1931	0.961
1932	1.145
1933	1.091
1934	0.713
1935	1.102
1936	1.082
1937	1.105
1938	1.205
1939	1.094
1940	1.345
1941	1.139
1942	1.305
1943	1.338
1944	1.455
1945	1.379
1946	1.35
1947	1.296
1948	1.317
1949	1.111
1950	1.156
1951	1.016
1952	1.219
1953	1.263
1954	0.775
1955	0.632
1956	0.667
1957	0.811
1958	1.027
1959	0.857
1960	0.841
1961	0.664
1962	0.76
1963	0.809
1964	0.716
1965	0.89
1966	0.775
1967	0.96
1968	0.786
1969	0.841
1970	0.932
1971	0.893
1972	0.898
1973	1.18
1974	1.224