# europe_finl012 - Kyynara National Park Liesjarven - 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/4490
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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_finl012 - Kyynara National Park Liesjarven - 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
#--------------------
# 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: Kyynara National Park Liesjarven
#	Location:
#	Country: Finland
#	Northernmost_Latitude: 60.67
#	Southernmost_Latitude: 60.67
#	Easternmost_Longitude: 23.88
#	Westernmost_Longitude: 23.88
#	Elevation: 115 m
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# Data_Collection
#	Collection_Name: europe_finl012B
#	Earliest_Year: 1813
#	Most_Recent_Year: 1978
#	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":"5.18847316642","T2":"16.1140854471","M1":"0.0227207624004","M2":"0.504615515482"}}
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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
1813	1.439
1814	1.139
1815	0.838
1816	0.919
1817	1.159
1818	1.131
1819	1.195
1820	1.137
1821	1.14
1822	1.035
1823	1.153
1824	1.385
1825	1.338
1826	1.384
1827	1.214
1828	1.233
1829	1.164
1830	1.16
1831	1.052
1832	1.03
1833	1.139
1834	1.177
1835	1.07
1836	1.042
1837	0.977
1838	1.205
1839	1.164
1840	1.016
1841	1.245
1842	1.186
1843	1.021
1844	1.114
1845	1.082
1846	1.138
1847	0.778
1848	1.062
1849	1.173
1850	1.257
1851	1.225
1852	1.138
1853	1.0
1854	1.069
1855	0.839
1856	0.871
1857	0.937
1858	0.846
1859	0.824
1860	0.888
1861	1.174
1862	1.192
1863	1.123
1864	0.942
1865	0.947
1866	0.927
1867	0.763
1868	0.948
1869	0.753
1870	0.93
1871	0.874
1872	0.925
1873	0.835
1874	0.82
1875	0.902
1876	0.827
1877	0.739
1878	0.793
1879	0.673
1880	0.719
1881	0.727
1882	0.987
1883	0.762
1884	0.807
1885	0.802
1886	0.812
1887	0.697
1888	0.762
1889	0.703
1890	0.695
1891	0.611
1892	0.697
1893	0.741
1894	0.791
1895	0.81
1896	0.691
1897	0.668
1898	0.693
1899	0.665
1900	0.7
1901	0.711
1902	0.386
1903	0.666
1904	0.598
1905	0.707
1906	0.814
1907	0.719
1908	0.657
1909	0.565
1910	0.616
1911	0.656
1912	0.59
1913	0.654
1914	0.618
1915	0.595
1916	0.653
1917	0.602
1918	0.59
1919	0.67
1920	0.85
1921	1.231
1922	1.388
1923	1.257
1924	1.539
1925	1.705
1926	1.387
1927	1.31
1928	1.339
1929	1.489
1930	1.403
1931	1.268
1932	1.244
1933	1.172
1934	1.332
1935	1.076
1936	1.55
1937	1.521
1938	1.457
1939	1.326
1940	1.358
1941	0.918
1942	1.048
1943	1.136
1944	1.217
1945	1.351
1946	1.335
1947	1.406
1948	1.167
1949	1.022
1950	0.973
1951	0.912
1952	1.143
1953	1.168
1954	0.851
1955	0.839
1956	0.825
1957	0.98
1958	0.719
1959	0.941
1960	0.912
1961	0.765
1962	1.026
1963	1.25
1964	0.988
1965	1.022
1966	1.036
1967	0.921
1968	0.939
1969	0.866
1970	0.878
1971	1.134
1972	1.15
1973	0.777
1974	1.009
1975	1.111
1976	1.396
1977	0.965
1978	0.96