# europe_finl042 - Punkaharju Esker - 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/4008
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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_finl042 - Punkaharju Esker - Breitenmoser Tree Ring Chronology Data
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# Investigators
#	Investigators:  Breitenmoser, P.; Bronnimann, S.; Frank, D.
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# Description_and_Notes
#	Description: Data from Breitenmoser 2014 Journal of past Climate supplementary, see publication for ARSTAN standardization details
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# 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: Punkaharju Esker
#	Location:
#	Country: Finland
#	Northernmost_Latitude: 61.8
#	Southernmost_Latitude: 61.8
#	Easternmost_Longitude: 29.3
#	Westernmost_Longitude: 29.3
#	Elevation: nan m
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# Data_Collection
#	Collection_Name: europe_finl042B
#	Earliest_Year: 1820
#	Most_Recent_Year: 2002
#	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":"4.42444588584","T2":"16.3023793111","M1":"0.0223395834432","M2":"0.493084646068"}}
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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
1820	0.825
1821	1.019
1822	1.01
1823	0.922
1824	0.997
1825	0.989
1826	0.801
1827	0.739
1828	0.96
1829	0.875
1830	0.98
1831	0.752
1832	0.828
1833	0.86
1834	1.025
1835	0.815
1836	1.012
1837	1.142
1838	1.124
1839	0.898
1840	1.292
1841	1.251
1842	1.205
1843	0.943
1844	1.149
1845	0.814
1846	0.894
1847	0.868
1848	1.071
1849	1.165
1850	1.004
1851	1.262
1852	0.934
1853	0.802
1854	1.005
1855	0.819
1856	1.007
1857	1.028
1858	0.797
1859	0.599
1860	0.998
1861	0.915
1862	0.999
1863	1.076
1864	1.056
1865	1.261
1866	1.243
1867	0.988
1868	1.132
1869	1.085
1870	1.188
1871	1.07
1872	1.057
1873	1.203
1874	1.122
1875	0.932
1876	0.846
1877	0.901
1878	0.966
1879	1.094
1880	0.992
1881	0.8
1882	1.023
1883	0.892
1884	0.993
1885	0.951
1886	0.971
1887	0.834
1888	0.882
1889	0.649
1890	1.085
1891	1.189
1892	1.186
1893	1.149
1894	1.174
1895	0.932
1896	0.885
1897	0.832
1898	1.007
1899	0.874
1900	0.878
1901	0.921
1902	0.834
1903	0.953
1904	1.071
1905	1.03
1906	1.054
1907	0.965
1908	0.784
1909	0.753
1910	0.796
1911	0.734
1912	0.794
1913	0.757
1914	0.818
1915	1.022
1916	0.788
1917	0.706
1918	0.802
1919	0.772
1920	0.922
1921	1.017
1922	1.197
1923	1.14
1924	1.403
1925	1.133
1926	0.732
1927	0.999
1928	0.834
1929	0.908
1930	0.951
1931	0.813
1932	1.099
1933	0.991
1934	1.366
1935	1.1
1936	0.988
1937	1.035
1938	1.073
1939	0.875
1940	0.576
1941	0.692
1942	0.582
1943	0.882
1944	1.009
1945	1.082
1946	1.206
1947	1.155
1948	1.097
1949	1.217
1950	1.267
1951	1.054
1952	1.04
1953	1.283
1954	1.394
1955	1.098
1956	0.847
1957	1.284
1958	1.173
1959	1.102
1960	0.913
1961	0.78
1962	0.877
1963	0.853
1964	0.831
1965	0.849
1966	0.845
1967	1.132
1968	0.935
1969	0.758
1970	0.899
1971	0.939
1972	0.811
1973	0.828
1974	1.055
1975	1.117
1976	1.266
1977	1.017
1978	1.174
1979	1.257
1980	1.076
1981	1.051
1982	1.057
1983	1.002
1984	0.85
1985	0.863
1986	1.083
1987	1.066
1988	1.199
1989	1.031
1990	1.172
1991	1.086
1992	0.652
1993	0.594
1994	0.828
1995	0.743
1996	0.804
1997	0.881
1998	0.77
1999	1.038
2000	1.418
2001	1.101
2002	0.887