# europe_pola010 - Koszalin - 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/5219
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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_pola010 - Koszalin - 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:
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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: Koszalin
#	Location:
#	Country: Poland
#	Northernmost_Latitude: 54.1
#	Southernmost_Latitude: 54.1
#	Easternmost_Longitude: 16.15
#	Westernmost_Longitude: 16.15
#	Elevation: 50 m
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# Data_Collection
#	Collection_Name: europe_pola010B
#	Earliest_Year: 1785
#	Most_Recent_Year: 1986
#	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":"5.07873839195","T2":"20.2102026937","M1":"0.0222725348586","M2":"0.293293933515"}}
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# Species
#	Species_Name: English oak
#	Species_Code: QURO
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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
1785	1.427
1786	0.737
1787	0.802
1788	0.757
1789	0.961
1790	0.832
1791	0.84
1792	0.681
1793	0.687
1794	0.649
1795	0.734
1796	0.891
1797	1.232
1798	1.22
1799	1.032
1800	0.484
1801	1.216
1802	1.447
1803	1.244
1804	0.908
1805	1.119
1806	0.936
1807	1.196
1808	0.574
1809	0.481
1810	0.695
1811	0.738
1812	0.618
1813	1.06
1814	0.91
1815	1.071
1816	1.157
1817	1.384
1818	1.455
1819	1.479
1820	0.959
1821	1.031
1822	1.109
1823	1.275
1824	0.925
1825	1.131
1826	0.968
1827	0.928
1828	1.087
1829	1.228
1830	1.281
1831	1.444
1832	0.82
1833	1.122
1834	1.138
1835	0.885
1836	0.896
1837	1.296
1838	0.999
1839	0.821
1840	0.653
1841	0.783
1842	1.195
1843	0.862
1844	0.732
1845	0.989
1846	1.18
1847	0.917
1848	0.689
1849	1.047
1850	1.401
1851	1.218
1852	1.15
1853	0.962
1854	0.862
1855	0.816
1856	0.844
1857	1.068
1858	0.991
1859	0.894
1860	0.961
1861	1.151
1862	1.04
1863	0.926
1864	0.935
1865	0.925
1866	0.938
1867	1.39
1868	1.037
1869	1.3
1870	1.437
1871	1.162
1872	1.006
1873	1.108
1874	0.889
1875	1.075
1876	1.013
1877	1.184
1878	0.969
1879	0.759
1880	0.899
1881	0.756
1882	1.053
1883	0.93
1884	0.775
1885	0.79
1886	1.203
1887	1.049
1888	0.912
1889	1.019
1890	1.185
1891	1.211
1892	1.052
1893	0.99
1894	0.92
1895	0.833
1896	0.795
1897	0.705
1898	0.883
1899	0.862
1900	1.018
1901	0.652
1902	0.836
1903	1.114
1904	1.11
1905	0.945
1906	0.826
1907	0.875
1908	0.806
1909	0.644
1910	0.954
1911	1.136
1912	0.97
1913	0.913
1914	0.787
1915	0.782
1916	0.953
1917	0.971
1918	0.797
1919	0.854
1920	1.049
1921	0.933
1922	0.752
1923	0.624
1924	0.628
1925	0.62
1926	0.559
1927	0.925
1928	0.794
1929	0.866
1930	0.708
1931	0.94
1932	1.199
1933	0.999
1934	0.963
1935	0.935
1936	0.831
1937	1.266
1938	1.224
1939	1.154
1940	0.732
1941	0.753
1942	0.751
1943	0.844
1944	1.051
1945	0.83
1946	1.182
1947	1.128
1948	0.869
1949	1.122
1950	1.214
1951	0.964
1952	0.86
1953	1.208
1954	0.985
1955	1.04
1956	0.693
1957	0.78
1958	0.746
1959	0.844
1960	0.753
1961	0.858
1962	1.125
1963	1.012
1964	0.928
1965	0.851
1966	0.948
1967	0.931
1968	0.894
1969	0.795
1970	0.94
1971	0.779
1972	0.919
1973	1.03
1974	1.024
1975	0.902
1976	0.87
1977	1.082
1978	1.17
1979	1.29
1980	1.299
1981	1.327
1982	1.165
1983	1.183
1984	1.597
1985	1.412
1986	1.379