# australia_newz031 - Takahe Valley - Breitenmoser Tree Ring Chronology Data
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#		World Data Center for Paleoclimatology, Boulder
#				and
#		NOAA Paleoclimatology Program
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# 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.
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# 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/4072
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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_newz031 - Takahe Valley - 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: Takahe Valley
#	Location:
#	Country: New Zealand
#	Northernmost_Latitude: -45.3
#	Southernmost_Latitude: -45.3
#	Easternmost_Longitude: 167.68
#	Westernmost_Longitude: 167.68
#	Elevation: 1100 m
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# Data_Collection
#	Collection_Name: australia_newz031B
#	Earliest_Year: 1760
#	Most_Recent_Year: 1979
#	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":"5.74918662691","T2":"15.7155666945","M1":"0.0221818502888","M2":"0.429081069141"}}
#--------------------
# Species
#	Species_Name: mountain beech nothofagus
#	Species_Code: NOSO
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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
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# Data:
# Data lines follow (have no #)
# Data line format - tab-delimited text, variable short name as header
# Missing Values: nan
#
age	trsgi
1760	0.803
1761	0.653
1762	0.779
1763	0.69
1764	0.616
1765	0.652
1766	0.875
1767	0.774
1768	0.597
1769	0.98
1770	0.951
1771	1.101
1772	1.054
1773	1.039
1774	0.881
1775	1.315
1776	1.273
1777	1.358
1778	1.218
1779	1.338
1780	1.169
1781	1.222
1782	1.079
1783	1.452
1784	0.921
1785	1.086
1786	1.148
1787	1.182
1788	0.938
1789	1.099
1790	0.947
1791	1.014
1792	1.155
1793	1.361
1794	1.055
1795	1.04
1796	1.206
1797	0.785
1798	0.758
1799	0.969
1800	1.131
1801	0.868
1802	1.016
1803	0.981
1804	1.072
1805	1.393
1806	0.64
1807	1.041
1808	1.426
1809	1.203
1810	1.601
1811	1.521
1812	1.339
1813	1.283
1814	1.036
1815	0.972
1816	1.294
1817	0.87
1818	1.169
1819	0.911
1820	0.93
1821	0.541
1822	0.807
1823	0.111
1824	0.211
1825	1.162
1826	1.203
1827	1.104
1828	0.733
1829	1.161
1830	0.672
1831	0.699
1832	0.022
1833	-0.086
1834	0.04
1835	-0.086
1836	0.077
1837	0.637
1838	0.558
1839	0.803
1840	1.035
1841	0.986
1842	0.809
1843	0.705
1844	0.777
1845	0.784
1846	1.189
1847	1.053
1848	1.117
1849	1.545
1850	1.377
1851	1.109
1852	0.774
1853	1.004
1854	1.046
1855	1.123
1856	1.195
1857	1.06
1858	1.426
1859	1.076
1860	1.281
1861	1.272
1862	1.038
1863	1.082
1864	1.504
1865	1.319
1866	1.564
1867	1.005
1868	1.265
1869	1.216
1870	1.373
1871	1.366
1872	1.129
1873	1.039
1874	1.234
1875	1.562
1876	1.059
1877	0.694
1878	0.93
1879	1.421
1880	1.164
1881	1.319
1882	1.818
1883	0.722
1884	1.341
1885	1.617
1886	1.798
1887	0.865
1888	1.27
1889	1.165
1890	0.991
1891	1.634
1892	1.251
1893	1.76
1894	1.475
1895	0.849
1896	1.578
1897	0.916
1898	1.045
1899	0.918
1900	0.902
1901	1.096
1902	1.143
1903	1.213
1904	0.927
1905	0.88
1906	1.148
1907	0.859
1908	0.568
1909	0.759
1910	0.719
1911	0.348
1912	0.576
1913	0.923
1914	0.719
1915	0.897
1916	-0.075
1917	0.051
1918	0.845
1919	1.243
1920	1.08
1921	1.09
1922	0.495
1923	0.751
1924	0.488
1925	0.896
1926	1.077
1927	1.492
1928	0.809
1929	0.449
1930	0.655
1931	0.954
1932	0.997
1933	0.799
1934	1.121
1935	0.82
1936	0.921
1937	1.671
1938	0.578
1939	0.448
1940	0.972
1941	0.767
1942	0.397
1943	0.664
1944	0.944
1945	1.453
1946	1.368
1947	1.304
1948	0.982
1949	0.931
1950	1.135
1951	0.799
1952	0.864
1953	0.978
1954	0.618
1955	0.976
1956	0.876
1957	0.807
1958	1.026
1959	0.742
1960	1.287
1961	1.737
1962	1.501
1963	1.176
1964	1.284
1965	1.436
1966	0.974
1967	1.059
1968	0.994
1969	0.696
1970	0.687
1971	0.779
1972	0.685
1973	0.712
1974	0.82
1975	0.567
1976	0.761
1977	0.988
1978	0.546
1979	0.617