# australia_newz070 - Rahu Saddle - 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/5372
#
# 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_newz070 - Rahu Saddle - 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: Rahu Saddle
#	Location:
#	Country: New Zealand
#	Northernmost_Latitude: -42.32
#	Southernmost_Latitude: -42.32
#	Easternmost_Longitude: 172.12
#	Westernmost_Longitude: 172.12
#	Elevation: 672 m
#--------------------
# Data_Collection
#	Collection_Name: australia_newz070B
#	Earliest_Year: 1653
#	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":"4.43983921201","T2":"13.2794444815","M1":"0.0228016054304","M2":"0.482791789645"}}
#--------------------
# 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
1653	0.861
1654	0.75
1655	0.806
1656	0.789
1657	0.655
1658	0.646
1659	0.685
1660	0.629
1661	0.687
1662	0.725
1663	0.85
1664	0.947
1665	0.975
1666	1.016
1667	0.862
1668	1.015
1669	0.746
1670	0.823
1671	1.322
1672	1.145
1673	0.862
1674	0.943
1675	1.1
1676	1.038
1677	0.997
1678	0.648
1679	0.697
1680	0.822
1681	1.08
1682	0.787
1683	0.817
1684	0.93
1685	1.034
1686	0.86
1687	0.718
1688	0.972
1689	1.038
1690	1.057
1691	0.824
1692	1.005
1693	1.09
1694	1.214
1695	1.094
1696	1.014
1697	0.675
1698	0.892
1699	0.837
1700	0.865
1701	0.89
1702	0.714
1703	0.724
1704	0.734
1705	0.726
1706	0.743
1707	0.542
1708	0.677
1709	0.795
1710	0.679
1711	0.901
1712	0.793
1713	0.644
1714	0.793
1715	0.796
1716	0.924
1717	0.779
1718	0.732
1719	0.89
1720	1.184
1721	0.953
1722	0.789
1723	1.068
1724	1.266
1725	1.225
1726	1.087
1727	1.375
1728	1.946
1729	1.138
1730	1.161
1731	0.928
1732	0.902
1733	1.108
1734	1.371
1735	1.358
1736	1.157
1737	0.881
1738	0.843
1739	1.109
1740	1.071
1741	0.696
1742	1.043
1743	1.026
1744	0.927
1745	1.697
1746	1.628
1747	1.554
1748	1.503
1749	1.148
1750	0.957
1751	1.427
1752	0.903
1753	0.728
1754	0.719
1755	0.872
1756	0.762
1757	0.72
1758	0.708
1759	0.785
1760	1.152
1761	1.166
1762	1.238
1763	1.313
1764	1.434
1765	1.309
1766	1.444
1767	1.202
1768	1.03
1769	1.186
1770	0.504
1771	0.661
1772	0.552
1773	0.604
1774	0.577
1775	0.735
1776	0.584
1777	0.972
1778	0.916
1779	0.783
1780	0.898
1781	1.09
1782	1.149
1783	1.244
1784	0.897
1785	0.939
1786	0.936
1787	0.78
1788	0.6
1789	0.9
1790	0.803
1791	0.804
1792	0.941
1793	0.882
1794	0.815
1795	0.779
1796	0.715
1797	0.884
1798	0.909
1799	0.843
1800	0.936
1801	0.681
1802	0.76
1803	0.842
1804	1.282
1805	1.375
1806	0.928
1807	0.846
1808	1.249
1809	1.382
1810	1.351
1811	1.253
1812	1.364
1813	1.23
1814	1.136
1815	1.351
1816	1.232
1817	1.009
1818	1.188
1819	1.025
1820	0.936
1821	0.862
1822	0.923
1823	0.922
1824	1.08
1825	1.201
1826	0.635
1827	0.997
1828	1.228
1829	1.027
1830	0.869
1831	0.978
1832	0.795
1833	0.663
1834	0.639
1835	0.775
1836	0.965
1837	0.994
1838	0.945
1839	0.927
1840	0.76
1841	0.944
1842	0.907
1843	0.971
1844	1.031
1845	1.163
1846	1.03
1847	1.011
1848	1.075
1849	0.88
1850	1.081
1851	1.033
1852	1.067
1853	1.082
1854	0.814
1855	0.802
1856	0.875
1857	1.16
1858	1.03
1859	0.864
1860	1.212
1861	1.221
1862	1.088
1863	1.017
1864	1.093
1865	1.058
1866	1.147
1867	0.83
1868	0.901
1869	0.842
1870	0.738
1871	0.644
1872	0.462
1873	0.492
1874	0.874
1875	0.975
1876	0.978
1877	1.31
1878	1.321
1879	1.413
1880	1.005
1881	0.847
1882	0.783
1883	0.743
1884	1.024
1885	0.864
1886	1.028
1887	0.873
1888	1.098
1889	1.175
1890	1.189
1891	1.137
1892	1.397
1893	1.404
1894	1.11
1895	1.291
1896	1.603
1897	1.553
1898	1.532
1899	1.573
1900	1.374
1901	1.342
1902	1.149
1903	1.08
1904	0.749
1905	0.756
1906	0.857
1907	0.552
1908	0.513
1909	0.31
1910	0.261
1911	0.364
1912	0.417
1913	0.627
1914	0.784
1915	0.92
1916	0.589
1917	0.789
1918	0.815
1919	0.927
1920	1.005
1921	1.124
1922	1.119
1923	1.216
1924	1.163
1925	1.061
1926	1.302
1927	1.328
1928	1.023
1929	1.035
1930	0.911
1931	1.014
1932	1.533
1933	1.617
1934	1.401
1935	0.703
1936	0.792
1937	0.866
1938	0.517
1939	0.592
1940	0.815
1941	0.972
1942	0.928
1943	1.005
1944	1.158
1945	1.203
1946	1.197
1947	0.988
1948	1.099
1949	1.188
1950	1.158
1951	0.733
1952	0.867
1953	0.643
1954	0.672
1955	0.514
1956	0.392
1957	0.489
1958	0.517
1959	0.566
1960	0.742
1961	0.636
1962	0.647
1963	0.801
1964	0.752
1965	0.757
1966	0.759
1967	0.743
1968	0.706
1969	0.605
1970	0.657
1971	0.525
1972	0.692
1973	0.715
1974	0.863
1975	0.816
1976	0.82
1977	0.951
1978	0.784
1979	0.773
1980	0.636
1981	0.627
1982	0.78
1983	0.886
1984	0.982
1985	0.87
1986	0.855
1987	1.091
1988	0.986
1989	1.302
1990	1.217
1991	1.082