# europe_pola005 - Gdansk Recent - 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/5215
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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_pola005 - Gdansk Recent - 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: Gdansk Recent
#	Location:
#	Country: Poland
#	Northernmost_Latitude: 54.3
#	Southernmost_Latitude: 54.3
#	Easternmost_Longitude: 18.55
#	Westernmost_Longitude: 18.55
#	Elevation: 20 m
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# Data_Collection
#	Collection_Name: europe_pola005B
#	Earliest_Year: 1775
#	Most_Recent_Year: 1985
#	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":"4.92350591713","T2":"17.1380783997","M1":"0.0228686879202","M2":"0.478787621202"}}
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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
1775	1.086
1776	1.022
1777	1.277
1778	1.266
1779	1.293
1780	0.957
1781	1.002
1782	0.942
1783	1.171
1784	1.083
1785	0.993
1786	0.866
1787	0.882
1788	0.697
1789	0.65
1790	0.398
1791	0.78
1792	0.826
1793	0.954
1794	0.762
1795	0.839
1796	1.062
1797	0.979
1798	1.092
1799	0.996
1800	0.515
1801	1.06
1802	0.935
1803	0.882
1804	0.868
1805	0.772
1806	0.704
1807	0.769
1808	0.746
1809	0.696
1810	0.74
1811	0.776
1812	1.076
1813	0.883
1814	0.948
1815	1.034
1816	1.086
1817	1.263
1818	1.045
1819	0.946
1820	1.442
1821	1.205
1822	1.201
1823	1.324
1824	1.18
1825	1.128
1826	1.095
1827	1.143
1828	1.464
1829	1.379
1830	1.276
1831	1.475
1832	1.23
1833	1.268
1834	1.268
1835	0.967
1836	0.98
1837	1.055
1838	0.58
1839	0.671
1840	0.913
1841	1.027
1842	1.209
1843	1.025
1844	0.969
1845	0.992
1846	1.091
1847	0.813
1848	0.816
1849	1.142
1850	1.212
1851	1.122
1852	1.024
1853	1.093
1854	0.98
1855	1.18
1856	1.023
1857	0.944
1858	0.773
1859	0.964
1860	1.006
1861	1.31
1862	1.2
1863	0.915
1864	0.859
1865	0.978
1866	0.876
1867	1.018
1868	0.865
1869	0.906
1870	0.932
1871	0.977
1872	0.929
1873	1.028
1874	0.836
1875	0.939
1876	0.983
1877	1.052
1878	1.036
1879	1.039
1880	1.042
1881	0.729
1882	0.949
1883	0.886
1884	0.953
1885	0.872
1886	0.855
1887	0.662
1888	0.789
1889	0.845
1890	1.015
1891	0.998
1892	0.998
1893	0.839
1894	0.977
1895	0.99
1896	0.981
1897	0.919
1898	0.743
1899	0.802
1900	0.77
1901	0.802
1902	0.95
1903	0.985
1904	0.871
1905	0.983
1906	1.017
1907	0.959
1908	1.039
1909	0.808
1910	1.0
1911	0.97
1912	0.876
1913	1.058
1914	0.94
1915	0.919
1916	0.86
1917	0.95
1918	0.943
1919	0.923
1920	0.972
1921	0.931
1922	0.995
1923	0.913
1924	1.108
1925	0.974
1926	1.093
1927	1.134
1928	0.898
1929	0.926
1930	0.871
1931	1.104
1932	1.081
1933	0.954
1934	1.018
1935	1.001
1936	1.042
1937	1.004
1938	0.982
1939	0.947
1940	0.882
1941	0.815
1942	0.816
1943	0.72
1944	0.84
1945	1.161
1946	1.155
1947	0.987
1948	1.044
1949	1.117
1950	1.074
1951	1.021
1952	0.829
1953	1.051
1954	0.958
1955	0.982
1956	1.0
1957	1.146
1958	1.19
1959	1.09
1960	1.062
1961	0.885
1962	1.029
1963	0.997
1964	0.952
1965	0.92
1966	0.925
1967	0.949
1968	1.034
1969	0.772
1970	1.016
1971	1.18
1972	1.073
1973	0.945
1974	0.974
1975	0.915
1976	0.865
1977	0.962
1978	1.031
1979	1.065
1980	1.277
1981	1.051
1982	1.035
1983	1.003
1984	1.228
1985	1.152