# australia_newz022 - Waipoua - 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/3148
#
# 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_newz022 - Waipoua - 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: Waipoua
#	Location:
#	Country: New Zealand
#	Northernmost_Latitude: -35.68
#	Southernmost_Latitude: -35.68
#	Easternmost_Longitude: 173.55
#	Westernmost_Longitude: 173.55
#	Elevation: 244 m
#--------------------
# Data_Collection
#	Collection_Name: australia_newz022B
#	Earliest_Year: 1676
#	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":"3.53729591918","T2":"14.2750894303","M1":"0.0229244707471","M2":"0.585143064426"}}
#--------------------
# Species
#	Species_Name: tanekaha celery top pine
#	Species_Code: PHTR
#--------------------
# 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
1676	1.024
1677	0.974
1678	0.843
1679	0.797
1680	0.804
1681	0.804
1682	0.486
1683	0.761
1684	0.813
1685	0.679
1686	0.873
1687	0.772
1688	0.841
1689	0.809
1690	0.739
1691	0.827
1692	0.979
1693	0.703
1694	0.965
1695	1.155
1696	0.596
1697	0.748
1698	1.026
1699	0.809
1700	1.101
1701	0.696
1702	0.794
1703	1.042
1704	0.829
1705	0.731
1706	0.835
1707	0.562
1708	0.79
1709	0.797
1710	0.844
1711	0.776
1712	0.786
1713	0.765
1714	1.045
1715	0.747
1716	0.949
1717	0.759
1718	0.741
1719	0.92
1720	0.542
1721	0.779
1722	0.791
1723	0.721
1724	0.385
1725	0.89
1726	0.861
1727	0.635
1728	0.739
1729	0.615
1730	0.552
1731	0.649
1732	0.753
1733	0.774
1734	0.862
1735	0.724
1736	1.085
1737	1.013
1738	0.668
1739	0.831
1740	0.757
1741	0.508
1742	0.863
1743	0.605
1744	0.865
1745	0.736
1746	0.763
1747	1.109
1748	0.794
1749	0.89
1750	0.711
1751	0.868
1752	0.638
1753	0.739
1754	0.815
1755	0.743
1756	0.631
1757	0.958
1758	0.857
1759	0.892
1760	0.637
1761	1.019
1762	0.855
1763	0.807
1764	0.944
1765	0.652
1766	0.941
1767	0.664
1768	1.087
1769	1.083
1770	0.697
1771	0.989
1772	0.994
1773	0.876
1774	0.723
1775	0.911
1776	0.653
1777	1.005
1778	0.757
1779	1.145
1780	0.962
1781	0.866
1782	1.059
1783	1.005
1784	0.677
1785	1.112
1786	1.033
1787	0.963
1788	1.354
1789	1.161
1790	0.798
1791	1.275
1792	1.191
1793	1.231
1794	1.11
1795	1.419
1796	1.102
1797	1.34
1798	1.158
1799	1.466
1800	0.918
1801	1.117
1802	1.105
1803	1.422
1804	0.971
1805	0.877
1806	1.246
1807	1.057
1808	0.831
1809	1.305
1810	1.203
1811	1.045
1812	1.27
1813	1.036
1814	1.427
1815	1.226
1816	1.363
1817	1.197
1818	1.502
1819	0.989
1820	1.588
1821	1.221
1822	1.447
1823	1.089
1824	1.275
1825	1.029
1826	1.386
1827	1.182
1828	1.289
1829	1.504
1830	0.97
1831	1.431
1832	1.038
1833	1.368
1834	0.551
1835	1.008
1836	0.996
1837	0.995
1838	0.684
1839	1.128
1840	0.872
1841	1.26
1842	1.311
1843	1.548
1844	1.178
1845	1.688
1846	1.101
1847	0.661
1848	1.174
1849	0.841
1850	1.085
1851	0.824
1852	1.366
1853	1.341
1854	0.654
1855	1.435
1856	1.358
1857	1.12
1858	1.483
1859	1.062
1860	1.153
1861	0.832
1862	0.926
1863	0.496
1864	1.076
1865	0.767
1866	0.927
1867	0.564
1868	1.365
1869	1.003
1870	1.556
1871	1.715
1872	1.183
1873	1.636
1874	1.26
1875	1.416
1876	0.757
1877	1.691
1878	1.176
1879	0.817
1880	1.16
1881	1.343
1882	0.944
1883	1.255
1884	1.569
1885	0.816
1886	0.867
1887	0.545
1888	1.115
1889	0.765
1890	0.965
1891	1.031
1892	1.021
1893	0.828
1894	1.459
1895	0.975
1896	1.17
1897	0.996
1898	1.206
1899	1.064
1900	1.261
1901	1.576
1902	0.747
1903	1.215
1904	0.638
1905	1.387
1906	1.169
1907	0.396
1908	1.201
1909	0.897
1910	0.494
1911	0.968
1912	1.037
1913	0.299
1914	0.872
1915	0.677
1916	0.243
1917	0.856
1918	0.753
1919	1.023
1920	0.495
1921	0.967
1922	0.643
1923	1.019
1924	0.281
1925	1.062
1926	0.911
1927	0.558
1928	0.78
1929	0.922
1930	1.195
1931	0.735
1932	1.086
1933	0.972
1934	1.342
1935	0.44
1936	0.885
1937	0.725
1938	0.381
1939	1.103
1940	1.101
1941	0.438
1942	0.983
1943	0.792
1944	1.085
1945	1.126
1946	0.499
1947	1.085
1948	0.646
1949	1.0
1950	0.448
1951	1.283
1952	1.154
1953	0.741
1954	0.766
1955	0.831
1956	0.862
1957	1.013
1958	0.852
1959	1.033
1960	0.796
1961	1.019
1962	0.308
1963	1.015
1964	0.538
1965	0.937
1966	0.42
1967	1.051
1968	0.346
1969	0.994
1970	0.153
1971	0.824
1972	0.8
1973	0.727
1974	0.432
1975	0.812
1976	0.801