# australia_newz058 - Waihora Terrace - 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
#
# Original_Source_URL:https://www.ncdc.noaa.gov/paleo/study/4083
#
# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: australia_newz058 - Waihora Terrace - 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.
#------------------
# 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: Waihora Terrace
#	Location:
#	Country: New Zealand
#	Northernmost_Latitude: -38.7
#	Southernmost_Latitude: -38.7
#	Easternmost_Longitude: 175.6
#	Westernmost_Longitude: 175.6
#	Elevation: 575 m
#--------------------
# Data_Collection
#	Collection_Name: australia_newz058B
#	Earliest_Year: 1763
#	Most_Recent_Year: 1986
#	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":"3.98757820667","T2":"13.9272768073","M1":"0.0227922100942","M2":"0.561970133757"}}
#--------------------
# Species
#	Species_Name: tanekaha celery top pine
#	Species_Code: PHTR
#--------------------
# Chronology:
#
#
#
#--------------------
# 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
1763	1.199
1764	1.322
1765	0.728
1766	1.239
1767	0.723
1768	0.993
1769	0.825
1770	1.032
1771	1.234
1772	1.024
1773	0.893
1774	1.031
1775	1.314
1776	0.622
1777	0.809
1778	0.677
1779	1.009
1780	1.273
1781	1.041
1782	1.06
1783	1.197
1784	0.494
1785	0.768
1786	1.259
1787	1.179
1788	1.164
1789	1.388
1790	1.042
1791	1.599
1792	1.044
1793	1.564
1794	0.885
1795	1.266
1796	0.501
1797	0.993
1798	1.098
1799	1.195
1800	1.175
1801	1.377
1802	0.834
1803	1.208
1804	0.839
1805	0.619
1806	0.987
1807	1.155
1808	0.62
1809	0.593
1810	1.033
1811	0.674
1812	1.198
1813	0.963
1814	0.895
1815	0.95
1816	0.807
1817	0.899
1818	1.217
1819	0.723
1820	1.055
1821	0.727
1822	1.079
1823	0.822
1824	1.238
1825	1.146
1826	0.817
1827	1.335
1828	1.066
1829	1.33
1830	0.125
1831	0.265
1832	0.674
1833	1.143
1834	0.327
1835	0.411
1836	1.303
1837	0.892
1838	1.438
1839	1.101
1840	0.666
1841	1.076
1842	0.879
1843	1.298
1844	0.457
1845	1.071
1846	0.524
1847	0.209
1848	0.925
1849	0.589
1850	1.018
1851	1.042
1852	1.275
1853	1.014
1854	0.296
1855	0.646
1856	0.718
1857	1.026
1858	1.203
1859	0.937
1860	0.737
1861	0.764
1862	1.258
1863	0.888
1864	1.208
1865	0.607
1866	1.265
1867	0.663
1868	0.94
1869	0.893
1870	0.566
1871	0.907
1872	0.728
1873	0.897
1874	1.257
1875	1.226
1876	1.374
1877	1.356
1878	1.141
1879	0.569
1880	0.592
1881	1.44
1882	0.886
1883	0.658
1884	1.135
1885	0.684
1886	0.525
1887	0.963
1888	1.39
1889	0.736
1890	0.707
1891	1.141
1892	0.857
1893	1.38
1894	1.072
1895	1.105
1896	1.129
1897	1.205
1898	1.113
1899	1.493
1900	0.995
1901	1.572
1902	0.823
1903	1.06
1904	0.656
1905	1.294
1906	0.995
1907	0.521
1908	0.807
1909	1.161
1910	0.783
1911	0.807
1912	1.327
1913	0.718
1914	0.959
1915	1.423
1916	0.706
1917	0.71
1918	1.384
1919	1.344
1920	1.094
1921	1.145
1922	1.427
1923	0.894
1924	0.561
1925	0.782
1926	0.994
1927	0.779
1928	0.739
1929	1.32
1930	1.161
1931	1.312
1932	0.715
1933	1.112
1934	1.242
1935	0.617
1936	1.015
1937	1.18
1938	0.332
1939	0.292
1940	0.785
1941	0.718
1942	1.273
1943	0.675
1944	1.139
1945	0.879
1946	1.026
1947	1.052
1948	1.21
1949	1.433
1950	1.064
1951	1.027
1952	1.461
1953	1.087
1954	0.946
1955	0.676
1956	1.446
1957	1.231
1958	1.384
1959	1.349
1960	1.66
1961	1.349
1962	0.881
1963	1.516
1964	1.24
1965	1.649
1966	0.608
1967	0.874
1968	0.678
1969	1.468
1970	0.372
1971	0.346
1972	1.144
1973	0.753
1974	1.15
1975	0.968
1976	1.116
1977	0.923
1978	0.284
1979	0.354
1980	0.89
1981	0.688
1982	1.165
1983	1.348
1984	1.067
1985	0.484
1986	0.524