# europe_finl045 - Vuotso GSF - 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/4021
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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: europe_finl045 - Vuotso GSF - 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.
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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: Vuotso GSF
#	Location:
#	Country: Finland
#	Northernmost_Latitude: 68.07
#	Southernmost_Latitude: 68.07
#	Easternmost_Longitude: 27.2
#	Westernmost_Longitude: 27.2
#	Elevation: nan m
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# Data_Collection
#	Collection_Name: europe_finl045B
#	Earliest_Year: 1777
#	Most_Recent_Year: 2001
#	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":"3.97077231456","T2":"19.5872578996","M1":"0.0221869205047","M2":"0.252225765228"}}
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# Species
#	Species_Name: Scots pine
#	Species_Code: PISY
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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
1777	1.067
1778	0.905
1779	1.044
1780	1.337
1781	1.181
1782	1.08
1783	0.984
1784	0.862
1785	1.143
1786	0.932
1787	1.206
1788	1.254
1789	1.218
1790	0.541
1791	0.59
1792	0.609
1793	0.679
1794	0.837
1795	0.738
1796	0.756
1797	0.788
1798	0.929
1799	1.142
1800	0.907
1801	0.95
1802	0.981
1803	0.999
1804	1.348
1805	1.357
1806	0.793
1807	1.449
1808	1.344
1809	1.436
1810	1.211
1811	1.102
1812	0.913
1813	0.622
1814	1.09
1815	1.001
1816	1.116
1817	1.342
1818	1.577
1819	1.294
1820	1.339
1821	1.241
1822	1.295
1823	1.59
1824	1.391
1825	1.204
1826	1.601
1827	1.386
1828	1.306
1829	1.642
1830	1.291
1831	1.318
1832	0.945
1833	0.863
1834	0.782
1835	0.683
1836	0.728
1837	0.263
1838	0.541
1839	0.545
1840	0.74
1841	0.601
1842	0.569
1843	0.648
1844	0.763
1845	0.921
1846	0.815
1847	0.853
1848	0.746
1849	0.96
1850	0.971
1851	1.173
1852	1.236
1853	1.005
1854	1.316
1855	1.254
1856	1.1
1857	1.023
1858	1.191
1859	1.005
1860	0.982
1861	0.938
1862	0.774
1863	0.754
1864	0.798
1865	0.847
1866	0.671
1867	0.683
1868	0.686
1869	0.643
1870	0.607
1871	0.528
1872	0.53
1873	0.617
1874	0.47
1875	0.456
1876	0.776
1877	0.562
1878	0.475
1879	0.399
1880	0.342
1881	0.48
1882	0.486
1883	0.59
1884	0.614
1885	0.732
1886	0.867
1887	0.728
1888	0.557
1889	0.861
1890	0.877
1891	0.851
1892	0.687
1893	0.639
1894	0.635
1895	0.846
1896	0.858
1897	0.913
1898	1.159
1899	0.92
1900	0.754
1901	1.045
1902	0.716
1903	0.409
1904	0.517
1905	0.613
1906	0.537
1907	0.455
1908	0.709
1909	0.773
1910	0.651
1911	0.672
1912	0.767
1913	0.867
1914	1.027
1915	0.854
1916	0.964
1917	0.801
1918	0.914
1919	1.048
1920	1.182
1921	1.467
1922	1.65
1923	1.529
1924	1.296
1925	1.422
1926	1.069
1927	1.153
1928	1.084
1929	0.937
1930	1.506
1931	1.146
1932	0.976
1933	0.975
1934	1.436
1935	1.436
1936	1.14
1937	1.626
1938	1.186
1939	1.255
1940	1.075
1941	1.463
1942	1.273
1943	1.016
1944	0.96
1945	0.833
1946	0.783
1947	1.07
1948	1.133
1949	1.093
1950	1.157
1951	0.965
1952	1.187
1953	1.602
1954	1.471
1955	1.231
1956	1.392
1957	1.656
1958	1.275
1959	1.394
1960	1.661
1961	1.032
1962	1.137
1963	0.796
1964	1.032
1965	0.631
1966	0.831
1967	0.89
1968	0.989
1969	0.769
1970	0.96
1971	0.907
1972	0.982
1973	1.259
1974	0.833
1975	0.993
1976	1.251
1977	1.171
1978	1.099
1979	1.355
1980	1.001
1981	0.882
1982	1.147
1983	1.209
1984	1.154
1985	1.286
1986	1.179
1987	0.959
1988	1.104
1989	1.234
1990	1.245
1991	1.27
1992	1.052
1993	1.12
1994	1.143
1995	1.068
1996	1.102
1997	1.093
1998	1.127
1999	1.107
2000	1.27
2001	1.135