# europe_swit192 - Vals GR Riefawald - 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/8498
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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: europe_swit192 - Vals GR Riefawald - Breitenmoser Tree Ring Chronology Data
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# Investigators
#	Investigators:  Breitenmoser, P.; Bronnimann, S.; Frank, D.
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# Description_and_Notes
#	Description: Data from Breitenmoser 2014 Journal of past Climate supplementary, see publication for ARSTAN standardization details
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# 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:
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#	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: Vals GR Riefawald
#	Location:
#	Country: Switzerland
#	Northernmost_Latitude: 46.62
#	Southernmost_Latitude: 46.62
#	Easternmost_Longitude: 9.2
#	Westernmost_Longitude: 9.2
#	Elevation: 1900 m
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# Data_Collection
#	Collection_Name: europe_swit192B
#	Earliest_Year: 1770
#	Most_Recent_Year: 2008
#	Time_Unit: y_ad
#	Core_Length:
#	Notes: {"database":{"database1":"LMR","database2":"Breits"}} {"climateInterpretation":{"basis":"", "climateVariable":"T", "climateVariableDetail":"air", "interpDirection":"positive", "seasonality":"[6, 7, 8]"}}{"VSLite_parameters":{"T1":"5.05522143534","T2":"17.2961249939","M1":"0.0230139874066","M2":"0.399769682243"}}
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# Species
#	Species_Name: European larch
#	Species_Code: LADE
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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
1770	0.657
1771	0.805
1772	0.918
1773	0.893
1774	1.049
1775	1.236
1776	1.2
1777	0.675
1778	0.771
1779	0.39
1780	1.352
1781	1.374
1782	1.417
1783	1.136
1784	2.027
1785	1.421
1786	1.736
1787	1.11
1788	2.032
1789	1.613
1790	1.191
1791	1.331
1792	1.25
1793	1.068
1794	0.964
1795	0.633
1796	0.895
1797	1.123
1798	1.263
1799	0.918
1800	0.691
1801	0.6
1802	0.916
1803	1.039
1804	0.811
1805	0.628
1806	0.737
1807	1.096
1808	1.343
1809	0.769
1810	0.628
1811	1.092
1812	0.89
1813	0.383
1814	0.564
1815	0.453
1816	0.293
1817	0.58
1818	0.968
1819	0.913
1820	0.748
1821	0.385
1822	1.655
1823	1.427
1824	1.029
1825	0.887
1826	0.982
1827	1.192
1828	0.969
1829	0.97
1830	0.602
1831	1.043
1832	0.872
1833	1.078
1834	1.262
1835	1.956
1836	1.426
1837	1.332
1838	1.025
1839	1.298
1840	1.278
1841	1.192
1842	2.177
1843	0.715
1844	0.96
1845	0.876
1846	1.05
1847	0.886
1848	0.854
1849	1.313
1850	0.975
1851	0.756
1852	0.788
1853	0.995
1854	0.392
1855	0.883
1856	0.708
1857	0.595
1858	1.048
1859	1.174
1860	1.1
1861	1.232
1862	1.502
1863	1.652
1864	1.01
1865	0.952
1866	0.891
1867	0.541
1868	1.161
1869	0.941
1870	1.398
1871	0.536
1872	0.993
1873	1.102
1874	1.438
1875	1.377
1876	1.489
1877	1.413
1878	0.873
1879	0.773
1880	0.552
1881	0.961
1882	0.557
1883	0.92
1884	0.688
1885	1.094
1886	0.349
1887	1.129
1888	0.549
1889	0.942
1890	0.419
1891	0.603
1892	1.021
1893	0.848
1894	0.965
1895	1.003
1896	1.173
1897	0.952
1898	0.705
1899	1.176
1900	1.229
1901	1.441
1902	1.102
1903	1.248
1904	1.935
1905	1.532
1906	0.937
1907	0.728
1908	1.259
1909	0.381
1910	0.861
1911	0.963
1912	0.766
1913	0.276
1914	0.448
1915	1.019
1916	0.584
1917	1.395
1918	0.518
1919	0.651
1920	0.652
1921	1.04
1922	1.328
1923	0.872
1924	1.139
1925	1.202
1926	0.444
1927	1.005
1928	1.178
1929	0.912
1930	1.135
1931	1.518
1932	0.959
1933	0.876
1934	1.463
1935	1.541
1936	1.003
1937	1.027
1938	0.778
1939	0.814
1940	0.556
1941	1.141
1942	0.844
1943	1.055
1944	1.406
1945	1.223
1946	0.595
1947	1.076
1948	0.701
1949	1.251
1950	1.385
1951	1.145
1952	1.348
1953	0.407
1954	0.591
1955	0.482
1956	0.201
1957	0.295
1958	0.69
1959	0.714
1960	0.799
1961	0.51
1962	0.996
1963	0.362
1964	0.285
1965	0.47
1966	0.516
1967	0.854
1968	0.524
1969	0.626
1970	0.899
1971	0.915
1972	0.784
1973	0.924
1974	0.713
1975	0.397
1976	0.584
1977	0.532
1978	0.457
1979	0.892
1980	0.438
1981	0.355
1982	0.92
1983	1.073
1984	0.951
1985	0.818
1986	1.165
1987	0.936
1988	1.155
1989	1.46
1990	1.162
1991	1.106
1992	0.853
1993	1.127
1994	1.191
1995	1.151
1996	1.105
1997	0.826
1998	1.541
1999	0.848
2000	1.314
2001	1.667
2002	1.455
2003	1.469
2004	1.328
2005	1.821
2006	1.64
2007	1.52
2008	1.655