# europe_finl015 - Koliberg - 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/4472
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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_finl015 - Koliberg - 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: Koliberg
#	Location:
#	Country: Finland
#	Northernmost_Latitude: 63.1
#	Southernmost_Latitude: 63.1
#	Easternmost_Longitude: 25.48
#	Westernmost_Longitude: 25.48
#	Elevation: 300 m
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# Data_Collection
#	Collection_Name: europe_finl015B
#	Earliest_Year: 1838
#	Most_Recent_Year: 1978
#	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":"5.2070331858","T2":"17.546304219","M1":"0.022111667291","M2":"0.420869099674"}}
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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
1838	0.957
1839	1.096
1840	1.09
1841	1.337
1842	1.171
1843	0.891
1844	1.144
1845	0.99
1846	1.171
1847	0.96
1848	1.225
1849	1.12
1850	1.18
1851	1.003
1852	0.872
1853	0.924
1854	1.105
1855	0.941
1856	1.018
1857	1.001
1858	0.919
1859	0.78
1860	0.844
1861	0.917
1862	0.868
1863	0.925
1864	0.894
1865	0.929
1866	1.01
1867	0.826
1868	1.122
1869	0.834
1870	0.967
1871	0.968
1872	1.036
1873	1.005
1874	0.868
1875	0.877
1876	0.795
1877	0.85
1878	0.955
1879	0.919
1880	0.951
1881	0.906
1882	1.092
1883	0.951
1884	1.16
1885	1.139
1886	0.899
1887	0.946
1888	0.987
1889	1.053
1890	1.128
1891	0.878
1892	0.856
1893	1.017
1894	1.019
1895	0.913
1896	0.911
1897	0.886
1898	1.051
1899	0.962
1900	1.088
1901	1.102
1902	0.797
1903	0.951
1904	0.8
1905	1.099
1906	1.168
1907	0.919
1908	0.913
1909	0.876
1910	0.763
1911	1.0
1912	0.987
1913	0.956
1914	1.048
1915	1.075
1916	1.068
1917	1.061
1918	0.728
1919	1.203
1920	1.073
1921	1.183
1922	1.261
1923	1.209
1924	1.535
1925	1.475
1926	1.232
1927	1.145
1928	0.771
1929	1.115
1930	1.209
1931	0.974
1932	1.081
1933	1.096
1934	1.332
1935	1.116
1936	1.493
1937	1.122
1938	0.937
1939	0.895
1940	0.944
1941	0.821
1942	0.838
1943	0.881
1944	0.912
1945	0.937
1946	1.145
1947	1.198
1948	0.994
1949	0.724
1950	0.747
1951	0.818
1952	0.981
1953	1.112
1954	1.106
1955	0.865
1956	0.866
1957	0.856
1958	0.765
1959	0.842
1960	0.959
1961	0.881
1962	0.818
1963	1.025
1964	0.933
1965	1.03
1966	1.187
1967	0.997
1968	0.903
1969	1.02
1970	1.047
1971	0.887
1972	1.039
1973	0.801
1974	0.945
1975	0.895
1976	0.826
1977	1.013
1978	0.901