# australia_newz012 - Mangawhero R.B. - Breitenmoser Tree Ring Chronology Data
#-----------------------------------------------------------------------
#		World Data Center for Paleoclimatology, Boulder
#				and
#		NOAA Paleoclimatology Program
#-----------------------------------------------------------------------
# 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.
#
#
# 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/3136
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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_newz012 - Mangawhero R.B. - 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.
#--------------------
#	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: Mangawhero R.B.
#	Location:
#	Country: New Zealand
#	Northernmost_Latitude: -39.35
#	Southernmost_Latitude: -39.35
#	Easternmost_Longitude: 175.48
#	Westernmost_Longitude: 175.48
#	Elevation: 1000 m
#--------------------
# Data_Collection
#	Collection_Name: australia_newz012B
#	Earliest_Year: 1720
#	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":"6.03401090168","T2":"18.268657331","M1":"0.0227530835482","M2":"0.385937590619"}}
#--------------------
# Species
#	Species_Name: New Zealand cedar
#	Species_Code: LIBI
#--------------------
# 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
#
#--------------------
# Data:
# Data lines follow (have no #)
# Data line format - tab-delimited text, variable short name as header
# Missing Values: nan
#
age	trsgi
1720	0.5
1721	0.592
1722	0.543
1723	0.846
1724	0.994
1725	0.947
1726	0.81
1727	0.848
1728	1.007
1729	0.769
1730	0.846
1731	0.683
1732	0.554
1733	0.717
1734	0.707
1735	0.646
1736	0.758
1737	0.711
1738	0.728
1739	0.73
1740	0.725
1741	0.705
1742	0.881
1743	0.955
1744	0.942
1745	1.103
1746	1.044
1747	1.184
1748	1.169
1749	1.19
1750	0.962
1751	0.989
1752	0.841
1753	0.961
1754	1.087
1755	0.978
1756	0.923
1757	1.068
1758	0.917
1759	0.854
1760	1.218
1761	1.359
1762	1.227
1763	1.267
1764	1.189
1765	1.03
1766	1.261
1767	1.038
1768	1.058
1769	1.402
1770	1.122
1771	1.444
1772	1.408
1773	1.175
1774	1.051
1775	1.039
1776	0.918
1777	1.156
1778	1.18
1779	1.083
1780	1.014
1781	0.992
1782	0.864
1783	0.886
1784	0.828
1785	0.865
1786	0.907
1787	0.964
1788	0.98
1789	1.172
1790	1.299
1791	1.294
1792	1.162
1793	1.428
1794	1.164
1795	1.068
1796	1.106
1797	1.673
1798	1.344
1799	1.704
1800	1.681
1801	1.609
1802	1.556
1803	0.982
1804	1.117
1805	1.296
1806	1.098
1807	0.986
1808	0.788
1809	0.73
1810	0.75
1811	0.631
1812	0.686
1813	0.767
1814	0.932
1815	1.095
1816	0.854
1817	0.82
1818	0.991
1819	0.93
1820	0.844
1821	0.843
1822	0.842
1823	0.909
1824	1.008
1825	1.075
1826	0.89
1827	1.177
1828	1.052
1829	0.947
1830	0.774
1831	0.783
1832	0.64
1833	0.57
1834	0.612
1835	0.634
1836	0.95
1837	0.991
1838	1.107
1839	1.038
1840	0.686
1841	0.961
1842	0.959
1843	1.031
1844	0.812
1845	0.968
1846	0.697
1847	0.526
1848	0.764
1849	0.513
1850	0.517
1851	0.788
1852	0.957
1853	1.004
1854	0.925
1855	0.919
1856	0.986
1857	1.001
1858	0.872
1859	0.875
1860	0.746
1861	0.924
1862	0.955
1863	1.197
1864	1.233
1865	1.047
1866	1.18
1867	0.948
1868	1.103
1869	1.139
1870	1.067
1871	1.112
1872	0.54
1873	0.836
1874	0.931
1875	1.027
1876	1.088
1877	1.074
1878	1.136
1879	1.135
1880	0.957
1881	1.045
1882	0.913
1883	0.833
1884	0.914
1885	0.97
1886	0.909
1887	0.823
1888	0.908
1889	1.059
1890	1.333
1891	1.275
1892	1.535
1893	1.813
1894	1.787
1895	1.877
1896	1.969
1897	1.69
1898	1.641
1899	1.557
1900	1.504
1901	1.332
1902	1.011
1903	0.919
1904	0.748
1905	0.962
1906	0.856
1907	0.407
1908	0.576
1909	0.789
1910	0.82
1911	1.024
1912	0.928
1913	0.993
1914	0.976
1915	0.859
1916	0.606
1917	0.732
1918	0.601
1919	0.638
1920	0.556
1921	0.705
1922	0.68
1923	0.677
1924	0.68
1925	0.705
1926	0.894
1927	0.963
1928	1.157
1929	1.052
1930	0.752
1931	0.93
1932	1.332
1933	1.382
1934	1.303
1935	0.733
1936	0.823
1937	0.953
1938	0.624
1939	0.619
1940	0.697
1941	0.582
1942	0.724
1943	0.74
1944	0.72
1945	0.617
1946	0.564
1947	0.63
1948	0.553
1949	0.548
1950	0.556
1951	0.52
1952	0.521
1953	0.607
1954	0.582
1955	0.54
1956	0.605
1957	0.851
1958	1.076
1959	1.211
1960	1.299
1961	1.026
1962	1.174
1963	1.453
1964	1.462
1965	1.282
1966	1.247
1967	1.739
1968	1.263
1969	1.28
1970	1.25
1971	1.454
1972	1.383
1973	1.36
1974	1.214
1975	1.257
1976	1.347