# australia_newz081 - Warawara - 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:
#
# Online_Resource: https://www.ncdc.noaa.gov/paleo/study/24611
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# Original_Source_URL:https://www.ncdc.noaa.gov/paleo/study/8491
#
# 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_newz081 - Warawara - 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
#------------------
# Site_Information
#	Site_Name: Warawara
#	Location:
#	Country: New Zealand
#	Northernmost_Latitude: -35.37
#	Southernmost_Latitude: -35.37
#	Easternmost_Longitude: 173.28
#	Westernmost_Longitude: 173.28
#	Elevation: 468 m
#--------------------
# Data_Collection
#	Collection_Name: australia_newz081B
#	Earliest_Year: 1690
#	Most_Recent_Year: 2002
#	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":"5.22254344084","T2":"18.8661621615","M1":"0.0225859409882","M2":"0.39051026397"}}
#--------------------
# Species
#	Species_Name: kauri pine
#	Species_Code: AGAU
#--------------------
# 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
1690	0.731
1691	1.233
1692	1.084
1693	0.923
1694	1.253
1695	1.122
1696	1.14
1697	1.061
1698	1.334
1699	0.852
1700	1.18
1701	0.848
1702	1.233
1703	1.086
1704	1.235
1705	0.799
1706	1.268
1707	0.636
1708	1.045
1709	0.563
1710	0.857
1711	0.911
1712	1.047
1713	1.023
1714	1.133
1715	0.744
1716	0.924
1717	1.006
1718	0.994
1719	1.245
1720	0.973
1721	1.258
1722	0.694
1723	1.363
1724	0.443
1725	1.251
1726	1.243
1727	1.279
1728	1.312
1729	1.282
1730	1.074
1731	1.309
1732	0.863
1733	1.09
1734	0.917
1735	0.842
1736	0.975
1737	0.79
1738	0.612
1739	0.636
1740	0.572
1741	0.492
1742	1.012
1743	0.486
1744	0.868
1745	0.743
1746	1.154
1747	1.167
1748	0.665
1749	1.141
1750	0.416
1751	1.001
1752	0.635
1753	1.228
1754	0.886
1755	1.241
1756	0.873
1757	1.007
1758	1.364
1759	1.552
1760	0.619
1761	1.259
1762	1.093
1763	0.933
1764	0.856
1765	0.881
1766	0.86
1767	0.671
1768	1.187
1769	1.236
1770	0.838
1771	0.796
1772	0.823
1773	1.023
1774	0.901
1775	0.98
1776	0.793
1777	0.91
1778	0.678
1779	0.964
1780	0.648
1781	0.767
1782	0.82
1783	0.434
1784	0.844
1785	1.213
1786	1.343
1787	1.221
1788	1.171
1789	1.181
1790	0.772
1791	1.136
1792	0.566
1793	0.868
1794	0.765
1795	0.612
1796	0.844
1797	1.192
1798	1.353
1799	1.617
1800	1.134
1801	1.118
1802	0.997
1803	0.991
1804	0.797
1805	0.889
1806	1.246
1807	0.872
1808	0.997
1809	1.605
1810	1.019
1811	1.39
1812	0.937
1813	1.189
1814	0.892
1815	1.284
1816	1.543
1817	0.7
1818	0.802
1819	0.614
1820	1.319
1821	0.887
1822	1.334
1823	0.989
1824	1.212
1825	0.682
1826	1.368
1827	1.278
1828	1.178
1829	1.429
1830	1.022
1831	1.803
1832	0.932
1833	1.313
1834	0.673
1835	0.99
1836	0.88
1837	0.919
1838	1.06
1839	0.323
1840	1.329
1841	1.154
1842	1.224
1843	1.289
1844	0.994
1845	1.014
1846	0.533
1847	0.631
1848	0.752
1849	0.582
1850	0.73
1851	0.894
1852	0.695
1853	1.23
1854	0.69
1855	0.643
1856	0.609
1857	0.806
1858	0.803
1859	0.746
1860	0.644
1861	0.865
1862	1.223
1863	0.91
1864	1.442
1865	0.882
1866	0.885
1867	0.554
1868	1.034
1869	0.669
1870	0.732
1871	0.995
1872	0.902
1873	1.293
1874	0.934
1875	0.599
1876	0.842
1877	0.921
1878	0.413
1879	0.874
1880	0.988
1881	1.171
1882	1.137
1883	0.746
1884	1.376
1885	0.866
1886	0.855
1887	0.535
1888	0.903
1889	0.572
1890	0.714
1891	1.276
1892	0.557
1893	1.209
1894	1.209
1895	1.201
1896	1.453
1897	0.88
1898	1.097
1899	1.11
1900	1.073
1901	1.028
1902	0.711
1903	0.769
1904	0.524
1905	0.876
1906	0.372
1907	0.464
1908	0.787
1909	0.611
1910	0.472
1911	1.132
1912	0.704
1913	1.039
1914	0.882
1915	0.471
1916	0.41
1917	1.198
1918	1.09
1919	1.536
1920	0.817
1921	1.625
1922	1.118
1923	1.288
1924	1.229
1925	1.247
1926	0.82
1927	1.346
1928	0.454
1929	1.025
1930	0.883
1931	1.136
1932	1.159
1933	1.096
1934	1.246
1935	0.775
1936	0.843
1937	0.939
1938	0.796
1939	0.732
1940	1.082
1941	0.528
1942	1.116
1943	0.619
1944	1.23
1945	0.757
1946	0.897
1947	0.676
1948	0.623
1949	1.072
1950	0.595
1951	1.273
1952	0.873
1953	1.136
1954	0.98
1955	1.215
1956	1.134
1957	1.787
1958	1.322
1959	1.831
1960	0.903
1961	1.952
1962	1.12
1963	2.074
1964	0.938
1965	1.025
1966	0.686
1967	1.436
1968	0.66
1969	1.004
1970	0.465
1971	1.374
1972	0.686
1973	0.591
1974	0.941
1975	0.608
1976	0.784
1977	0.551
1978	0.756
1979	0.737
1980	0.605
1981	0.411
1982	1.172
1983	0.765
1984	0.665
1985	0.983
1986	0.972
1987	0.521
1988	0.685
1989	0.94
1990	1.297
1991	1.131
1992	1.775
1993	1.095
1994	1.237
1995	0.864
1996	1.275
1997	1.4
1998	1.267
1999	1.955
2000	1.976
2001	1.772
2002	1.347