# australia_newz016 - Owaka - 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/3141
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# Description/Documentation lines begin with #
# Data lines have no #
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# Archive: Tree Rings
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# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: australia_newz016 - Owaka - 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.
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#	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: Owaka
#	Location:
#	Country: New Zealand
#	Northernmost_Latitude: -46.38
#	Southernmost_Latitude: -46.38
#	Easternmost_Longitude: 169.45
#	Westernmost_Longitude: 169.45
#	Elevation: 305 m
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# Data_Collection
#	Collection_Name: australia_newz016B
#	Earliest_Year: 1773
#	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":"3.42010737194","T2":"11.9784854207","M1":"0.0227731195054","M2":"0.587088268657"}}
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# 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)
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##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
1773	0.86
1774	0.903
1775	0.95
1776	0.886
1777	1.023
1778	0.879
1779	1.037
1780	1.071
1781	1.075
1782	1.12
1783	0.966
1784	0.967
1785	0.899
1786	0.998
1787	0.877
1788	1.085
1789	0.966
1790	0.959
1791	0.857
1792	0.958
1793	1.072
1794	0.834
1795	0.994
1796	1.064
1797	0.972
1798	1.005
1799	1.05
1800	1.075
1801	0.956
1802	1.173
1803	1.137
1804	1.097
1805	1.079
1806	1.01
1807	0.973
1808	1.043
1809	1.013
1810	1.15
1811	1.234
1812	1.286
1813	1.245
1814	1.181
1815	1.22
1816	1.155
1817	0.779
1818	0.892
1819	0.963
1820	0.996
1821	0.637
1822	0.885
1823	0.919
1824	0.991
1825	1.0
1826	0.933
1827	1.01
1828	0.981
1829	0.89
1830	0.544
1831	0.84
1832	0.854
1833	0.769
1834	0.666
1835	0.792
1836	0.817
1837	0.797
1838	0.9
1839	0.856
1840	0.68
1841	0.91
1842	0.828
1843	0.933
1844	1.149
1845	1.3
1846	1.11
1847	1.105
1848	1.011
1849	0.88
1850	0.924
1851	1.099
1852	1.056
1853	0.963
1854	0.596
1855	0.803
1856	0.906
1857	0.963
1858	0.932
1859	0.523
1860	0.706
1861	0.774
1862	0.906
1863	0.976
1864	1.08
1865	1.026
1866	1.194
1867	0.976
1868	1.188
1869	1.253
1870	1.213
1871	1.113
1872	0.789
1873	1.008
1874	1.161
1875	1.119
1876	1.009
1877	1.245
1878	1.259
1879	1.203
1880	1.186
1881	1.239
1882	1.152
1883	0.873
1884	1.208
1885	1.147
1886	1.185
1887	1.048
1888	1.276
1889	1.155
1890	1.268
1891	1.113
1892	1.17
1893	1.467
1894	1.345
1895	1.472
1896	1.357
1897	1.094
1898	1.259
1899	1.295
1900	1.095
1901	1.125
1902	1.017
1903	0.974
1904	0.742
1905	0.97
1906	0.808
1907	0.536
1908	0.855
1909	0.642
1910	0.627
1911	0.789
1912	0.782
1913	0.483
1914	0.7
1915	0.777
1916	0.624
1917	1.001
1918	1.031
1919	0.981
1920	0.873
1921	1.087
1922	1.08
1923	1.01
1924	0.618
1925	0.941
1926	1.161
1927	1.038
1928	1.099
1929	1.194
1930	1.1
1931	0.945
1932	0.946
1933	1.099
1934	0.948
1935	0.73
1936	1.136
1937	1.0
1938	0.555
1939	0.586
1940	0.764
1941	0.753
1942	0.971
1943	0.935
1944	1.069
1945	1.226
1946	1.112
1947	1.295
1948	1.319
1949	1.32
1950	1.23
1951	1.267
1952	1.266
1953	1.336
1954	1.175
1955	1.065
1956	0.557
1957	0.771
1958	0.742
1959	0.799
1960	0.851
1961	0.836
1962	0.671
1963	1.032
1964	1.055
1965	1.083
1966	0.995
1967	1.143
1968	1.135
1969	1.057
1970	0.79
1971	0.713
1972	0.763
1973	0.729
1974	0.695
1975	0.657
1976	0.721