# australia_newz040 - Craigieburn 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/4048
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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
#--------------------
# Title
#	Study_Name: australia_newz040 - Craigieburn 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: Craigieburn Valley
#	Location:
#	Country: New Zealand
#	Northernmost_Latitude: -43.12
#	Southernmost_Latitude: -43.12
#	Easternmost_Longitude: 171.72
#	Westernmost_Longitude: 171.72
#	Elevation: 1250 m
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# Data_Collection
#	Collection_Name: australia_newz040B
#	Earliest_Year: 1780
#	Most_Recent_Year: 1979
#	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":"2.94243635965","T2":"12.3159143267","M1":"0.0237028444717","M2":"0.639031560604"}}
#--------------------
# Species
#	Species_Name: mountain beech nothofagus
#	Species_Code: NOSO
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# 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)
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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
1780	1.047
1781	0.828
1782	0.68
1783	0.964
1784	0.586
1785	0.719
1786	0.855
1787	0.85
1788	0.344
1789	0.575
1790	0.414
1791	0.476
1792	0.844
1793	0.868
1794	0.804
1795	0.195
1796	0.09
1797	0.106
1798	0.352
1799	0.627
1800	0.708
1801	0.656
1802	0.756
1803	0.769
1804	0.918
1805	0.561
1806	0.118
1807	0.778
1808	1.234
1809	0.817
1810	1.077
1811	0.736
1812	0.685
1813	0.833
1814	0.744
1815	0.564
1816	0.833
1817	1.033
1818	1.258
1819	1.0
1820	0.604
1821	0.937
1822	0.85
1823	0.775
1824	0.556
1825	0.351
1826	0.687
1827	0.83
1828	0.48
1829	0.933
1830	1.14
1831	0.777
1832	0.02
1833	0.003
1834	0.399
1835	-0.033
1836	0.34
1837	1.255
1838	0.86
1839	1.471
1840	1.712
1841	1.58
1842	1.291
1843	0.755
1844	0.383
1845	0.34
1846	1.272
1847	1.235
1848	1.371
1849	1.578
1850	1.514
1851	0.974
1852	0.648
1853	1.844
1854	1.424
1855	1.234
1856	1.245
1857	0.968
1858	1.687
1859	1.611
1860	1.674
1861	0.901
1862	0.037
1863	0.058
1864	0.971
1865	0.799
1866	1.467
1867	1.267
1868	1.298
1869	1.387
1870	1.472
1871	1.316
1872	0.679
1873	0.268
1874	1.298
1875	1.618
1876	1.765
1877	1.228
1878	1.574
1879	1.636
1880	1.42
1881	0.587
1882	0.684
1883	0.943
1884	1.606
1885	1.166
1886	1.233
1887	0.466
1888	0.651
1889	1.274
1890	1.296
1891	0.986
1892	0.582
1893	1.6
1894	1.925
1895	1.625
1896	1.543
1897	1.392
1898	1.284
1899	1.118
1900	1.367
1901	1.694
1902	1.436
1903	1.077
1904	0.657
1905	0.735
1906	0.99
1907	0.592
1908	0.582
1909	1.287
1910	1.353
1911	0.802
1912	1.33
1913	0.876
1914	0.754
1915	1.502
1916	0.758
1917	0.318
1918	0.757
1919	1.263
1920	0.925
1921	1.401
1922	1.193
1923	2.341
1924	0.975
1925	1.624
1926	1.581
1927	1.465
1928	1.204
1929	1.003
1930	1.334
1931	1.526
1932	1.323
1933	1.211
1934	1.064
1935	0.283
1936	0.315
1937	1.312
1938	0.644
1939	0.565
1940	1.157
1941	0.602
1942	0.571
1943	0.942
1944	0.676
1945	1.145
1946	1.154
1947	0.969
1948	0.731
1949	1.103
1950	1.433
1951	0.891
1952	0.901
1953	1.425
1954	0.806
1955	0.896
1956	0.694
1957	0.649
1958	0.675
1959	0.6
1960	0.928
1961	1.032
1962	0.676
1963	0.511
1964	0.728
1965	1.163
1966	0.847
1967	1.158
1968	0.62
1969	0.895
1970	0.533
1971	0.356
1972	0.727
1973	0.575
1974	0.562
1975	0.151
1976	0.144
1977	0.31
1978	0.534
1979	0.812