# australia_newz023 - Mirkwood - 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/4067
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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_newz023 - Mirkwood - 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: Mirkwood
#	Location:
#	Country: New Zealand
#	Northernmost_Latitude: -43.05
#	Southernmost_Latitude: -43.05
#	Easternmost_Longitude: 171.68
#	Westernmost_Longitude: 171.68
#	Elevation: 1275 m
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# Data_Collection
#	Collection_Name: australia_newz023B
#	Earliest_Year: 1776
#	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":"3.35328638419","T2":"11.9064991632","M1":"0.0237438680702","M2":"0.632041357608"}}
#--------------------
# 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
1776	1.216
1777	1.247
1778	1.233
1779	0.78
1780	0.999
1781	0.909
1782	0.75
1783	0.938
1784	0.973
1785	0.889
1786	0.953
1787	0.742
1788	0.479
1789	0.862
1790	0.815
1791	0.721
1792	0.914
1793	1.12
1794	1.15
1795	0.75
1796	-0.009
1797	0.096
1798	0.49
1799	0.693
1800	1.05
1801	0.73
1802	0.587
1803	0.812
1804	1.089
1805	0.952
1806	0.641
1807	1.051
1808	0.758
1809	0.492
1810	0.781
1811	0.86
1812	1.086
1813	0.974
1814	0.921
1815	0.712
1816	0.75
1817	0.706
1818	0.987
1819	0.713
1820	0.811
1821	0.92
1822	1.021
1823	0.581
1824	0.402
1825	0.445
1826	0.415
1827	0.742
1828	0.298
1829	0.543
1830	0.633
1831	0.831
1832	0.171
1833	0.027
1834	0.233
1835	0.029
1836	0.113
1837	0.63
1838	0.644
1839	1.193
1840	1.194
1841	1.313
1842	0.981
1843	0.64
1844	0.548
1845	0.927
1846	1.267
1847	1.29
1848	1.485
1849	1.59
1850	1.578
1851	1.059
1852	0.233
1853	0.327
1854	1.23
1855	1.639
1856	1.277
1857	0.86
1858	1.275
1859	1.452
1860	1.874
1861	1.243
1862	-0.026
1863	0.05
1864	1.126
1865	0.945
1866	1.375
1867	1.058
1868	1.007
1869	1.299
1870	1.225
1871	0.83
1872	0.114
1873	-0.026
1874	0.394
1875	0.888
1876	1.017
1877	0.835
1878	1.003
1879	1.333
1880	1.336
1881	0.602
1882	0.574
1883	0.691
1884	1.551
1885	1.551
1886	1.531
1887	1.028
1888	1.127
1889	1.024
1890	1.277
1891	1.057
1892	0.802
1893	1.56
1894	1.553
1895	1.577
1896	1.63
1897	1.516
1898	1.474
1899	1.373
1900	1.369
1901	1.333
1902	1.205
1903	1.201
1904	0.715
1905	0.825
1906	1.335
1907	0.764
1908	0.767
1909	1.478
1910	1.529
1911	0.984
1912	1.711
1913	1.436
1914	1.24
1915	1.716
1916	0.757
1917	0.172
1918	0.647
1919	1.411
1920	0.976
1921	1.363
1922	1.016
1923	1.866
1924	1.013
1925	1.231
1926	1.189
1927	1.27
1928	0.976
1929	1.22
1930	1.546
1931	1.417
1932	1.427
1933	1.167
1934	1.107
1935	0.487
1936	0.226
1937	0.713
1938	0.366
1939	0.769
1940	1.342
1941	0.835
1942	0.607
1943	0.805
1944	0.819
1945	0.987
1946	0.96
1947	0.968
1948	0.99
1949	1.025
1950	1.147
1951	0.974
1952	1.157
1953	1.246
1954	0.72
1955	0.868
1956	0.841
1957	0.764
1958	0.799
1959	0.742
1960	0.879
1961	1.082
1962	0.899
1963	0.697
1964	0.962
1965	1.108
1966	0.744
1967	0.6
1968	0.693
1969	1.018
1970	0.565
1971	0.499
1972	0.764
1973	0.766
1974	0.717
1975	0.342
1976	0.003
1977	0.355
1978	0.54
1979	0.832