# australia_newz033 - Upper Hollyford 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/4074
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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_newz033 - Upper Hollyford 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: Upper Hollyford Valley
#	Location:
#	Country: New Zealand
#	Northernmost_Latitude: -44.77
#	Southernmost_Latitude: -44.77
#	Easternmost_Longitude: 168.0
#	Westernmost_Longitude: 168.0
#	Elevation: 950 m
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# Data_Collection
#	Collection_Name: australia_newz033B
#	Earliest_Year: 1822
#	Most_Recent_Year: 1980
#	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":"4.0401768741","T2":"16.8373146381","M1":"0.0225142886656","M2":"0.400640201598"}}
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# Species
#	Species_Name: silver beech nothofagus
#	Species_Code: NOME
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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
1822	0.707
1823	1.004
1824	0.887
1825	0.976
1826	0.916
1827	0.799
1828	0.907
1829	0.89
1830	0.899
1831	0.667
1832	0.511
1833	0.632
1834	0.737
1835	1.142
1836	0.727
1837	0.962
1838	0.32
1839	1.017
1840	0.917
1841	1.387
1842	1.027
1843	1.003
1844	0.742
1845	0.705
1846	0.675
1847	0.652
1848	0.747
1849	1.051
1850	0.986
1851	1.031
1852	0.976
1853	1.01
1854	0.84
1855	1.123
1856	1.154
1857	0.923
1858	1.008
1859	0.358
1860	1.016
1861	1.083
1862	0.777
1863	0.851
1864	1.449
1865	0.912
1866	1.076
1867	0.814
1868	1.029
1869	0.795
1870	1.201
1871	1.132
1872	0.799
1873	0.764
1874	1.197
1875	1.31
1876	0.882
1877	0.844
1878	0.453
1879	1.088
1880	0.914
1881	0.856
1882	1.034
1883	0.768
1884	1.307
1885	1.139
1886	1.587
1887	0.848
1888	1.849
1889	1.58
1890	1.638
1891	2.045
1892	1.543
1893	1.782
1894	1.751
1895	0.497
1896	1.511
1897	1.107
1898	1.499
1899	1.132
1900	1.142
1901	0.654
1902	0.789
1903	1.129
1904	0.885
1905	0.699
1906	1.19
1907	1.055
1908	1.273
1909	1.166
1910	1.082
1911	0.867
1912	1.052
1913	1.118
1914	0.743
1915	0.937
1916	0.66
1917	0.771
1918	0.759
1919	1.055
1920	1.049
1921	1.18
1922	0.646
1923	0.95
1924	0.872
1925	0.811
1926	0.804
1927	0.902
1928	0.501
1929	0.579
1930	0.339
1931	0.287
1932	0.337
1933	0.575
1934	0.684
1935	0.655
1936	0.643
1937	0.917
1938	0.775
1939	0.664
1940	0.959
1941	0.62
1942	0.56
1943	0.69
1944	0.726
1945	0.516
1946	0.421
1947	0.265
1948	0.406
1949	0.572
1950	0.578
1951	0.368
1952	0.793
1953	0.956
1954	1.084
1955	0.97
1956	0.824
1957	0.899
1958	0.718
1959	0.722
1960	0.963
1961	1.366
1962	1.148
1963	1.147
1964	1.21
1965	1.093
1966	1.322
1967	1.387
1968	1.36
1969	1.281
1970	1.191
1971	0.864
1972	1.374
1973	1.422
1974	1.208
1975	0.995
1976	1.153
1977	0.919
1978	1.066
1979	1.292
1980	1.166