# europe_finl044 - Matko KerimÃÂ¤ki - 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/4003
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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_finl044 - Matko KerimÃÂ¤ki - 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: Matko KerimÃÂ¤ki
#	Location:
#	Country: Finland
#	Northernmost_Latitude: 61.87
#	Southernmost_Latitude: 61.87
#	Easternmost_Longitude: 28.82
#	Westernmost_Longitude: 28.82
#	Elevation: nan m
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# Data_Collection
#	Collection_Name: europe_finl044B
#	Earliest_Year: 1844
#	Most_Recent_Year: 2001
#	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":"5.08906042977","T2":"17.313227485","M1":"0.0223010199884","M2":"0.296692969926"}}
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# Species
#	Species_Name: Norway spruce
#	Species_Code: PCAB
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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
1844	1.244
1845	0.814
1846	1.022
1847	0.812
1848	1.022
1849	1.046
1850	1.114
1851	1.003
1852	0.82
1853	0.831
1854	0.953
1855	0.922
1856	0.982
1857	0.858
1858	0.857
1859	0.8
1860	1.009
1861	1.131
1862	1.146
1863	1.058
1864	0.953
1865	1.041
1866	1.092
1867	0.928
1868	1.123
1869	0.99
1870	1.023
1871	0.97
1872	0.939
1873	1.024
1874	0.968
1875	0.833
1876	0.752
1877	0.892
1878	0.962
1879	0.935
1880	1.143
1881	0.983
1882	1.081
1883	0.83
1884	0.924
1885	0.984
1886	0.965
1887	0.94
1888	0.984
1889	0.912
1890	1.161
1891	0.969
1892	1.089
1893	0.981
1894	1.028
1895	0.945
1896	0.766
1897	0.784
1898	0.921
1899	0.836
1900	0.967
1901	1.043
1902	0.833
1903	0.974
1904	0.878
1905	0.92
1906	0.884
1907	0.799
1908	0.746
1909	0.729
1910	0.577
1911	0.707
1912	0.783
1913	0.828
1914	0.843
1915	0.987
1916	0.88
1917	0.84
1918	0.65
1919	0.986
1920	1.014
1921	1.343
1922	1.283
1923	1.153
1924	1.385
1925	1.282
1926	1.006
1927	1.05
1928	0.776
1929	1.028
1930	0.942
1931	0.917
1932	1.047
1933	0.902
1934	1.019
1935	0.883
1936	0.856
1937	1.051
1938	1.131
1939	0.901
1940	0.934
1941	0.71
1942	0.779
1943	0.973
1944	0.981
1945	1.201
1946	1.308
1947	1.498
1948	1.217
1949	1.063
1950	1.083
1951	1.081
1952	1.271
1953	1.309
1954	1.246
1955	0.968
1956	0.729
1957	0.89
1958	0.792
1959	1.123
1960	1.19
1961	1.016
1962	1.133
1963	1.227
1964	1.086
1965	1.103
1966	1.198
1967	1.237
1968	1.167
1969	1.276
1970	1.294
1971	1.018
1972	1.2
1973	0.856
1974	0.857
1975	0.911
1976	1.063
1977	1.043
1978	1.072
1979	1.125
1980	0.903
1981	1.007
1982	0.956
1983	1.171
1984	1.072
1985	0.846
1986	1.042
1987	1.008
1988	0.988
1989	0.632
1990	0.809
1991	0.978
1992	0.724
1993	0.825
1994	1.053
1995	0.614
1996	0.742
1997	0.797
1998	0.412
1999	0.638
2000	0.494
2001	0.568