# australia_newz055 - Tarkus Knob - 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:
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# Online_Resource: https://www.ncdc.noaa.gov/paleo/study/24611
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# Original_Source_URL:https://www.ncdc.noaa.gov/paleo/study/4073
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# 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_newz055 - Tarkus Knob - 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.
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# 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
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# Site_Information
#	Site_Name: Tarkus Knob
#	Location:
#	Country: New Zealand
#	Northernmost_Latitude: -43.08
#	Southernmost_Latitude: -43.08
#	Easternmost_Longitude: 170.97
#	Westernmost_Longitude: 170.97
#	Elevation: 925 m
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# Data_Collection
#	Collection_Name: australia_newz055B
#	Earliest_Year: 1713
#	Most_Recent_Year: 1978
#	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":"4.01589654279","T2":"16.6684956872","M1":"0.0227334105963","M2":"0.395644527897"}}
#--------------------
# Species
#	Species_Name: New Zealand cedar
#	Species_Code: LIBI
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# Chronology:
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# 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
1713	0.925
1714	1.361
1715	1.384
1716	1.363
1717	0.739
1718	-0.002
1719	-0.002
1720	0.227
1721	0.309
1722	0.541
1723	0.537
1724	0.522
1725	0.716
1726	0.564
1727	0.647
1728	0.923
1729	0.735
1730	0.933
1731	0.798
1732	0.916
1733	0.922
1734	0.765
1735	1.11
1736	1.205
1737	0.949
1738	0.931
1739	1.024
1740	1.02
1741	1.099
1742	1.325
1743	1.168
1744	1.611
1745	1.603
1746	1.832
1747	1.687
1748	1.846
1749	1.478
1750	0.933
1751	1.172
1752	0.908
1753	1.342
1754	1.089
1755	1.015
1756	0.762
1757	1.184
1758	0.95
1759	1.164
1760	1.023
1761	1.03
1762	0.998
1763	0.88
1764	0.927
1765	0.814
1766	0.886
1767	1.171
1768	1.119
1769	1.046
1770	0.699
1771	1.086
1772	0.83
1773	0.982
1774	0.746
1775	0.772
1776	0.696
1777	0.958
1778	0.962
1779	1.052
1780	1.032
1781	0.995
1782	0.843
1783	0.936
1784	0.853
1785	1.038
1786	1.116
1787	0.982
1788	1.229
1789	1.362
1790	1.046
1791	0.832
1792	0.909
1793	0.82
1794	0.613
1795	0.584
1796	0.823
1797	0.861
1798	0.818
1799	0.337
1800	0.941
1801	0.766
1802	1.083
1803	0.856
1804	1.061
1805	1.606
1806	1.031
1807	0.735
1808	0.836
1809	0.76
1810	0.948
1811	0.766
1812	1.075
1813	0.994
1814	1.059
1815	1.15
1816	1.126
1817	0.789
1818	0.79
1819	0.935
1820	0.977
1821	0.875
1822	0.919
1823	1.092
1824	1.072
1825	1.167
1826	0.808
1827	1.271
1828	1.112
1829	1.009
1830	0.897
1831	1.033
1832	0.611
1833	0.553
1834	0.862
1835	1.001
1836	1.261
1837	1.053
1838	1.025
1839	0.986
1840	1.372
1841	1.691
1842	1.48
1843	1.212
1844	0.798
1845	1.26
1846	1.147
1847	1.231
1848	1.166
1849	0.865
1850	0.848
1851	0.938
1852	0.932
1853	0.922
1854	1.097
1855	1.269
1856	1.099
1857	0.898
1858	0.837
1859	0.714
1860	0.81
1861	1.281
1862	1.092
1863	1.109
1864	1.245
1865	1.211
1866	1.139
1867	1.009
1868	1.027
1869	1.132
1870	1.284
1871	1.162
1872	0.953
1873	1.306
1874	1.245
1875	1.361
1876	0.942
1877	1.117
1878	0.477
1879	1.149
1880	1.268
1881	1.43
1882	1.152
1883	1.083
1884	1.151
1885	1.382
1886	1.508
1887	1.305
1888	1.124
1889	1.259
1890	1.282
1891	1.09
1892	1.338
1893	1.298
1894	1.032
1895	0.593
1896	1.233
1897	1.127
1898	0.923
1899	1.043
1900	1.191
1901	0.924
1902	0.93
1903	0.707
1904	0.872
1905	0.791
1906	0.87
1907	0.888
1908	1.09
1909	1.01
1910	0.97
1911	1.011
1912	0.911
1913	1.174
1914	0.969
1915	0.94
1916	1.001
1917	1.287
1918	1.098
1919	0.848
1920	0.968
1921	1.01
1922	0.935
1923	0.498
1924	0.918
1925	0.861
1926	0.851
1927	1.042
1928	0.811
1929	0.713
1930	0.645
1931	0.847
1932	0.997
1933	0.892
1934	0.923
1935	0.509
1936	0.4
1937	0.388
1938	0.332
1939	0.455
1940	0.994
1941	1.105
1942	0.994
1943	0.959
1944	0.985
1945	0.833
1946	0.783
1947	0.794
1948	0.948
1949	0.819
1950	0.982
1951	0.813
1952	1.054
1953	1.255
1954	1.275
1955	1.204
1956	1.105
1957	0.846
1958	0.537
1959	0.728
1960	1.099
1961	1.035
1962	0.945
1963	0.862
1964	0.676
1965	0.701
1966	0.707
1967	0.875
1968	0.836
1969	0.79
1970	0.971
1971	0.906
1972	1.117
1973	1.116
1974	1.039
1975	0.849
1976	1.024
1977	0.988
1978	0.865