# australia_newz035 - Lower Cass 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/4066
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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_newz035 - Lower Cass Valley - 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: Lower Cass Valley
#	Location:
#	Country: New Zealand
#	Northernmost_Latitude: -43.08
#	Southernmost_Latitude: -43.08
#	Easternmost_Longitude: 171.72
#	Westernmost_Longitude: 171.72
#	Elevation: 1350 m
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# Data_Collection
#	Collection_Name: australia_newz035B
#	Earliest_Year: 1773
#	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":"3.45290829442","T2":"12.6041087645","M1":"0.0230424278194","M2":"0.59396399471"}}
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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
1773	1.386
1774	1.197
1775	1.088
1776	1.022
1777	1.286
1778	1.269
1779	0.974
1780	1.217
1781	1.123
1782	0.994
1783	0.931
1784	0.64
1785	0.785
1786	0.813
1787	0.875
1788	0.566
1789	0.984
1790	0.76
1791	0.547
1792	0.744
1793	0.81
1794	0.822
1795	0.861
1796	0.271
1797	0.144
1798	0.193
1799	0.755
1800	1.289
1801	0.832
1802	1.055
1803	0.979
1804	1.29
1805	1.265
1806	0.567
1807	1.303
1808	1.187
1809	1.0
1810	1.416
1811	0.941
1812	1.021
1813	1.122
1814	0.934
1815	0.809
1816	0.744
1817	0.734
1818	1.263
1819	0.901
1820	0.972
1821	1.264
1822	1.436
1823	1.181
1824	1.069
1825	0.432
1826	0.481
1827	1.076
1828	0.625
1829	0.868
1830	0.611
1831	0.776
1832	0.13
1833	0.044
1834	0.241
1835	0.191
1836	0.767
1837	1.456
1838	0.844
1839	1.264
1840	1.388
1841	1.344
1842	1.081
1843	0.702
1844	0.443
1845	0.44
1846	1.013
1847	1.233
1848	1.404
1849	1.714
1850	1.562
1851	1.279
1852	0.529
1853	0.932
1854	0.875
1855	0.943
1856	1.033
1857	0.59
1858	1.044
1859	1.185
1860	1.39
1861	1.278
1862	0.598
1863	0.279
1864	0.774
1865	1.182
1866	1.893
1867	1.325
1868	1.373
1869	1.821
1870	1.631
1871	1.51
1872	0.647
1873	0.119
1874	0.563
1875	1.307
1876	0.927
1877	1.099
1878	1.314
1879	1.462
1880	1.54
1881	1.342
1882	1.258
1883	0.471
1884	1.149
1885	1.306
1886	1.989
1887	1.039
1888	1.153
1889	0.823
1890	1.049
1891	0.955
1892	0.266
1893	0.597
1894	1.801
1895	1.754
1896	1.368
1897	1.158
1898	1.013
1899	0.854
1900	1.26
1901	1.311
1902	1.188
1903	0.827
1904	0.547
1905	0.882
1906	1.08
1907	0.509
1908	0.58
1909	1.479
1910	1.324
1911	0.753
1912	1.356
1913	1.035
1914	0.878
1915	1.589
1916	0.589
1917	0.259
1918	0.528
1919	1.174
1920	0.656
1921	1.221
1922	0.73
1923	1.164
1924	0.466
1925	1.381
1926	1.268
1927	1.052
1928	0.98
1929	1.167
1930	1.289
1931	1.231
1932	1.296
1933	1.14
1934	1.089
1935	0.804
1936	0.725
1937	1.129
1938	0.718
1939	0.956
1940	1.21
1941	0.482
1942	0.561
1943	0.745
1944	0.524
1945	0.604
1946	1.073
1947	1.17
1948	1.052
1949	0.956
1950	0.957
1951	0.781
1952	1.144
1953	1.399
1954	1.055
1955	0.986
1956	0.833
1957	0.568
1958	0.287
1959	0.558
1960	1.471
1961	1.502
1962	0.956
1963	0.444
1964	0.733
1965	1.547
1966	1.155
1967	1.26
1968	1.036
1969	1.087
1970	0.848
1971	0.63
1972	0.821
1973	0.729
1974	0.919
1975	0.246
1976	0.373
1977	1.029
1978	0.819
1979	1.115