# australia_newz024 - Lagoon Saddle - 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/4055
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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
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# Title
#	Study_Name: australia_newz024 - Lagoon Saddle - Breitenmoser Tree Ring Chronology Data
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# 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: Lagoon Saddle
#	Location:
#	Country: New Zealand
#	Northernmost_Latitude: -43.05
#	Southernmost_Latitude: -43.05
#	Easternmost_Longitude: 171.6
#	Westernmost_Longitude: 171.6
#	Elevation: 1300 m
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# Data_Collection
#	Collection_Name: australia_newz024B
#	Earliest_Year: 1780
#	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":"3.88336627723","T2":"12.769508204","M1":"0.0222526823976","M2":"0.549186181133"}}
#--------------------
# 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)
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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
1780	1.535
1781	1.222
1782	0.948
1783	1.158
1784	0.954
1785	0.968
1786	0.912
1787	0.99
1788	1.042
1789	0.975
1790	0.978
1791	0.584
1792	1.132
1793	1.476
1794	1.362
1795	1.233
1796	0.445
1797	0.081
1798	0.277
1799	0.761
1800	1.219
1801	0.868
1802	1.193
1803	0.895
1804	1.173
1805	1.064
1806	0.437
1807	0.917
1808	1.087
1809	0.863
1810	1.374
1811	1.083
1812	1.127
1813	1.08
1814	0.913
1815	0.558
1816	0.555
1817	0.636
1818	1.176
1819	0.79
1820	0.96
1821	0.992
1822	1.17
1823	1.102
1824	1.168
1825	0.95
1826	0.821
1827	1.047
1828	0.619
1829	1.153
1830	0.886
1831	1.18
1832	0.216
1833	0.381
1834	0.525
1835	0.293
1836	-0.009
1837	1.215
1838	0.748
1839	1.813
1840	2.003
1841	2.019
1842	1.522
1843	0.966
1844	0.593
1845	0.924
1846	1.668
1847	1.149
1848	1.232
1849	1.575
1850	1.338
1851	1.015
1852	0.58
1853	1.156
1854	1.038
1855	0.681
1856	1.07
1857	0.71
1858	1.217
1859	1.009
1860	1.281
1861	0.99
1862	0.395
1863	0.095
1864	0.931
1865	0.928
1866	1.625
1867	1.152
1868	1.082
1869	1.305
1870	1.085
1871	0.874
1872	0.386
1873	0.082
1874	0.596
1875	1.08
1876	1.014
1877	0.799
1878	0.921
1879	1.092
1880	1.342
1881	0.535
1882	0.167
1883	0.439
1884	1.025
1885	1.299
1886	1.459
1887	0.991
1888	0.761
1889	0.713
1890	0.636
1891	0.481
1892	0.23
1893	0.792
1894	1.463
1895	1.336
1896	1.365
1897	0.874
1898	0.879
1899	1.012
1900	1.238
1901	1.141
1902	0.934
1903	0.663
1904	0.442
1905	0.786
1906	1.358
1907	1.034
1908	0.571
1909	1.349
1910	0.907
1911	0.707
1912	1.236
1913	1.151
1914	0.771
1915	1.272
1916	1.017
1917	1.2
1918	0.639
1919	1.32
1920	0.892
1921	1.505
1922	1.015
1923	0.931
1924	0.509
1925	0.998
1926	1.566
1927	1.587
1928	1.118
1929	0.827
1930	1.058
1931	1.019
1932	1.366
1933	1.24
1934	1.421
1935	0.835
1936	0.422
1937	0.856
1938	0.719
1939	0.922
1940	1.223
1941	0.745
1942	0.823
1943	1.292
1944	0.971
1945	0.997
1946	1.162
1947	0.755
1948	0.99
1949	0.997
1950	1.187
1951	0.842
1952	1.239
1953	1.368
1954	0.796
1955	1.159
1956	0.985
1957	0.719
1958	0.642
1959	0.866
1960	1.078
1961	1.167
1962	1.072
1963	0.685
1964	1.264
1965	1.345
1966	0.92
1967	1.111
1968	0.617
1969	0.976
1970	1.15
1971	1.068
1972	1.025
1973	0.829
1974	1.073
1975	0.54
1976	0.695
1977	1.071
1978	0.857
1979	1.075