# australia_newz030 - Snowslide Stream - 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/4070
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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_newz030 - Snowslide Stream - 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: Snowslide Stream
#	Location:
#	Country: New Zealand
#	Northernmost_Latitude: -43.05
#	Southernmost_Latitude: -43.05
#	Easternmost_Longitude: 171.72
#	Westernmost_Longitude: 171.72
#	Elevation: 1250 m
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# Data_Collection
#	Collection_Name: australia_newz030B
#	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":"2.98203864676","T2":"11.4611081191","M1":"0.0228939917159","M2":"0.625921949266"}}
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# Species
#	Species_Name: mountain beech nothofagus
#	Species_Code: NOSO
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# Chronology:
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# Variables
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# 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	1.387
1781	1.259
1782	0.99
1783	1.231
1784	1.131
1785	1.05
1786	1.358
1787	1.692
1788	1.097
1789	1.09
1790	0.873
1791	0.89
1792	1.304
1793	1.317
1794	1.184
1795	0.766
1796	0.214
1797	0.496
1798	0.866
1799	1.048
1800	1.009
1801	0.818
1802	0.962
1803	0.877
1804	1.001
1805	1.044
1806	0.871
1807	1.393
1808	1.403
1809	0.905
1810	1.289
1811	1.156
1812	1.12
1813	1.166
1814	0.953
1815	0.61
1816	0.771
1817	0.776
1818	0.968
1819	0.893
1820	0.914
1821	0.691
1822	1.036
1823	0.739
1824	0.152
1825	0.617
1826	0.882
1827	0.974
1828	0.35
1829	0.796
1830	0.946
1831	1.004
1832	0.065
1833	0.294
1834	0.403
1835	0.25
1836	0.592
1837	1.183
1838	0.571
1839	1.026
1840	1.33
1841	1.226
1842	0.978
1843	0.699
1844	0.302
1845	0.819
1846	1.405
1847	0.999
1848	0.937
1849	0.992
1850	0.669
1851	0.524
1852	0.517
1853	1.307
1854	1.199
1855	1.026
1856	1.148
1857	1.048
1858	1.361
1859	1.078
1860	1.199
1861	0.629
1862	0.019
1863	0.111
1864	0.915
1865	1.244
1866	1.208
1867	0.912
1868	0.871
1869	0.831
1870	0.717
1871	0.345
1872	0.069
1873	0.294
1874	0.842
1875	0.602
1876	0.742
1877	0.547
1878	0.708
1879	0.843
1880	0.888
1881	0.267
1882	0.591
1883	0.478
1884	0.951
1885	1.278
1886	1.705
1887	0.725
1888	1.055
1889	1.323
1890	1.24
1891	0.924
1892	1.448
1893	2.236
1894	2.196
1895	1.057
1896	1.633
1897	1.728
1898	1.603
1899	1.301
1900	1.559
1901	1.607
1902	1.38
1903	1.154
1904	0.622
1905	0.948
1906	1.672
1907	1.023
1908	1.076
1909	1.86
1910	1.552
1911	0.947
1912	1.599
1913	1.48
1914	1.243
1915	1.967
1916	1.24
1917	1.192
1918	1.065
1919	1.422
1920	1.216
1921	1.456
1922	1.116
1923	1.598
1924	1.176
1925	1.364
1926	1.286
1927	1.129
1928	1.245
1929	1.02
1930	1.192
1931	1.177
1932	1.193
1933	0.923
1934	0.715
1935	0.417
1936	0.649
1937	1.36
1938	0.367
1939	0.588
1940	0.984
1941	0.78
1942	0.73
1943	0.875
1944	0.673
1945	0.772
1946	1.027
1947	0.606
1948	0.679
1949	0.801
1950	0.894
1951	0.559
1952	0.868
1953	1.165
1954	0.877
1955	0.868
1956	0.847
1957	0.626
1958	0.669
1959	0.677
1960	0.937
1961	0.975
1962	0.971
1963	0.963
1964	1.124
1965	1.19
1966	1.147
1967	1.59
1968	1.034
1969	0.94
1970	0.696
1971	0.644
1972	0.786
1973	0.711
1974	0.762
1975	0.299
1976	0.675
1977	0.887
1978	0.85
1979	0.842