# europe_swed009 - Arosjak - 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/3464
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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_swed009 - Arosjak - 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: Arosjak
#	Location:
#	Country: Sweden
#	Northernmost_Latitude: 67.87
#	Southernmost_Latitude: 67.87
#	Easternmost_Longitude: 19.42
#	Westernmost_Longitude: 19.42
#	Elevation: 762 m
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# Data_Collection
#	Collection_Name: europe_swed009B
#	Earliest_Year: 1774
#	Most_Recent_Year: 1971
#	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":"7.21619702691","T2":"19.4420169725","M1":"0.0225016810414","M2":"0.284933663083"}}
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# Species
#	Species_Name: Scots pine
#	Species_Code: PISY
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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
1774	0.798
1775	0.813
1776	0.899
1777	0.687
1778	0.846
1779	0.732
1780	0.909
1781	0.7
1782	0.835
1783	0.511
1784	0.549
1785	0.752
1786	0.438
1787	0.569
1788	0.514
1789	0.814
1790	0.683
1791	0.729
1792	0.733
1793	0.574
1794	0.687
1795	0.711
1796	0.633
1797	0.762
1798	0.786
1799	0.975
1800	0.786
1801	0.907
1802	0.896
1803	0.563
1804	0.664
1805	0.612
1806	0.408
1807	0.553
1808	0.631
1809	0.663
1810	0.627
1811	0.712
1812	0.497
1813	0.676
1814	0.63
1815	0.776
1816	1.002
1817	1.114
1818	1.238
1819	1.372
1820	1.148
1821	0.953
1822	0.855
1823	1.153
1824	1.11
1825	1.154
1826	1.494
1827	1.486
1828	1.429
1829	1.389
1830	1.331
1831	1.717
1832	1.495
1833	1.326
1834	1.444
1835	1.144
1836	1.084
1837	0.526
1838	0.93
1839	0.949
1840	0.787
1841	0.69
1842	0.837
1843	0.906
1844	0.914
1845	1.234
1846	1.27
1847	1.468
1848	1.074
1849	1.204
1850	1.159
1851	1.243
1852	1.368
1853	1.27
1854	1.614
1855	1.49
1856	1.256
1857	0.886
1858	1.441
1859	1.106
1860	1.096
1861	1.323
1862	1.177
1863	1.096
1864	1.192
1865	1.213
1866	1.172
1867	1.008
1868	0.972
1869	0.972
1870	0.948
1871	0.918
1872	1.04
1873	1.432
1874	1.066
1875	1.364
1876	1.475
1877	1.244
1878	1.025
1879	1.26
1880	0.915
1881	0.663
1882	0.951
1883	1.195
1884	1.143
1885	1.103
1886	0.957
1887	1.035
1888	0.811
1889	0.988
1890	1.222
1891	1.277
1892	0.865
1893	0.959
1894	1.173
1895	1.139
1896	1.198
1897	1.241
1898	1.324
1899	1.062
1900	0.82
1901	1.4
1902	1.065
1903	0.678
1904	0.728
1905	0.849
1906	0.882
1907	0.852
1908	1.027
1909	0.798
1910	0.833
1911	0.823
1912	1.093
1913	0.973
1914	1.093
1915	1.233
1916	1.31
1917	1.117
1918	1.374
1919	1.25
1920	1.178
1921	1.127
1922	1.135
1923	1.0
1924	1.028
1925	1.241
1926	1.08
1927	1.089
1928	0.613
1929	0.601
1930	1.202
1931	0.966
1932	0.857
1933	0.741
1934	1.088
1935	0.731
1936	0.539
1937	1.186
1938	1.148
1939	0.825
1940	0.706
1941	1.086
1942	0.793
1943	0.852
1944	0.958
1945	1.136
1946	0.962
1947	0.982
1948	1.011
1949	0.903
1950	0.946
1951	0.932
1952	0.849
1953	1.04
1954	1.363
1955	1.021
1956	0.808
1957	0.909
1958	0.704
1959	0.815
1960	0.895
1961	0.702
1962	0.702
1963	0.517
1964	0.836
1965	0.599
1966	0.686
1967	0.741
1968	0.724
1969	0.753
1970	0.885
1971	0.646