# europe_pola014 - Torun - 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/5222
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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_pola014 - Torun - 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:
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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: Torun
#	Location:
#	Country: Poland
#	Northernmost_Latitude: 53.08
#	Southernmost_Latitude: 53.08
#	Easternmost_Longitude: 18.55
#	Westernmost_Longitude: 18.55
#	Elevation: 70 m
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# Data_Collection
#	Collection_Name: europe_pola014B
#	Earliest_Year: 1766
#	Most_Recent_Year: 1986
#	Time_Unit: y_ad
#	Core_Length:
#	Notes: {"database":{"database1":"LMR","database2":"Breits"}} {"climateInterpretation":{"basis":"", "climateVariable":"M", "climateVariableDetail":"air", "interpDirection":"positive", "seasonality":"[6, 7, 8]"}}{"VSLite_parameters":{"T1":"5.11122945883","T2":"16.8663192682","M1":"0.0223078714056","M2":"0.456620093398"}}
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# Species
#	Species_Name: English oak
#	Species_Code: QURO
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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
1766	1.378
1767	1.314
1768	1.092
1769	1.284
1770	1.536
1771	1.539
1772	1.61
1773	1.544
1774	1.326
1775	1.516
1776	1.312
1777	1.403
1778	1.475
1779	1.082
1780	0.862
1781	0.842
1782	0.8
1783	0.961
1784	0.886
1785	0.978
1786	0.913
1787	0.78
1788	0.708
1789	0.76
1790	0.808
1791	1.08
1792	0.952
1793	0.835
1794	0.889
1795	0.699
1796	1.053
1797	0.895
1798	1.189
1799	1.314
1800	1.092
1801	1.693
1802	1.232
1803	0.956
1804	0.732
1805	0.761
1806	0.617
1807	0.807
1808	0.708
1809	0.779
1810	0.766
1811	0.724
1812	0.878
1813	0.894
1814	0.957
1815	0.815
1816	1.006
1817	0.954
1818	0.707
1819	0.709
1820	0.798
1821	0.972
1822	1.123
1823	1.197
1824	1.082
1825	0.961
1826	0.965
1827	0.885
1828	1.132
1829	1.112
1830	1.106
1831	1.133
1832	0.897
1833	0.877
1834	1.159
1835	0.801
1836	0.884
1837	0.963
1838	0.783
1839	1.026
1840	0.754
1841	0.758
1842	0.962
1843	0.725
1844	0.873
1845	0.952
1846	1.2
1847	0.92
1848	0.864
1849	0.937
1850	1.11
1851	0.893
1852	0.94
1853	1.015
1854	0.673
1855	0.602
1856	0.6
1857	0.88
1858	0.714
1859	0.829
1860	0.82
1861	1.008
1862	0.913
1863	0.792
1864	0.803
1865	0.871
1866	0.78
1867	0.91
1868	0.995
1869	1.177
1870	1.143
1871	1.132
1872	1.15
1873	1.111
1874	1.037
1875	1.138
1876	1.004
1877	1.22
1878	1.088
1879	1.176
1880	1.217
1881	1.074
1882	1.033
1883	1.071
1884	1.137
1885	0.936
1886	1.214
1887	0.929
1888	0.926
1889	1.193
1890	1.271
1891	1.097
1892	1.013
1893	0.895
1894	0.98
1895	0.957
1896	1.079
1897	1.129
1898	1.001
1899	0.905
1900	0.825
1901	0.785
1902	0.927
1903	1.083
1904	1.167
1905	1.128
1906	1.209
1907	1.11
1908	1.141
1909	0.966
1910	1.25
1911	1.134
1912	0.973
1913	1.187
1914	0.827
1915	0.906
1916	1.194
1917	1.026
1918	1.085
1919	0.963
1920	1.023
1921	0.827
1922	1.115
1923	0.904
1924	1.168
1925	1.103
1926	0.989
1927	1.116
1928	1.061
1929	1.125
1930	0.747
1931	1.213
1932	1.152
1933	0.911
1934	1.017
1935	1.179
1936	1.057
1937	1.003
1938	1.044
1939	1.043
1940	0.912
1941	0.979
1942	0.681
1943	0.757
1944	0.831
1945	1.157
1946	1.111
1947	1.002
1948	1.028
1949	1.101
1950	0.951
1951	1.027
1952	0.856
1953	0.991
1954	0.919
1955	0.942
1956	0.82
1957	1.034
1958	1.059
1959	0.792
1960	0.774
1961	0.764
1962	1.001
1963	0.87
1964	1.029
1965	0.947
1966	0.972
1967	1.149
1968	0.982
1969	0.977
1970	0.959
1971	1.133
1972	1.107
1973	0.896
1974	0.94
1975	1.066
1976	0.914
1977	0.891
1978	0.871
1979	1.027
1980	0.756
1981	0.646
1982	0.849
1983	0.685
1984	1.13
1985	1.256
1986	1.258