# europe_lith020 - Degsne - 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/8591
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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_lith020 - Degsne - 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: Degsne
#	Location:
#	Country: Lithuania
#	Northernmost_Latitude: 54.57
#	Southernmost_Latitude: 54.57
#	Easternmost_Longitude: 23.87
#	Westernmost_Longitude: 23.87
#	Elevation: 90 m
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# Data_Collection
#	Collection_Name: europe_lith020B
#	Earliest_Year: 1857
#	Most_Recent_Year: 2006
#	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":"4.58193805582","T2":"15.474870721","M1":"0.0221562819573","M2":"0.49445249759"}}
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# Species
#	Species_Name: European larch
#	Species_Code: LADE
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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
1857	1.045
1858	0.703
1859	0.856
1860	0.95
1861	1.017
1862	1.395
1863	1.25
1864	1.274
1865	1.153
1866	1.192
1867	0.671
1868	0.358
1869	0.342
1870	0.707
1871	0.919
1872	1.253
1873	1.281
1874	0.956
1875	0.993
1876	1.101
1877	1.142
1878	1.201
1879	1.429
1880	1.171
1881	1.029
1882	0.773
1883	0.848
1884	1.031
1885	0.495
1886	0.811
1887	0.873
1888	0.916
1889	0.806
1890	0.867
1891	1.064
1892	1.124
1893	1.175
1894	1.304
1895	1.483
1896	1.071
1897	0.956
1898	1.063
1899	0.901
1900	0.652
1901	0.856
1902	0.788
1903	0.928
1904	1.123
1905	1.298
1906	1.036
1907	1.205
1908	1.071
1909	1.147
1910	1.389
1911	1.125
1912	0.756
1913	1.203
1914	0.921
1915	0.676
1916	1.114
1917	0.944
1918	1.092
1919	1.064
1920	0.53
1921	0.8
1922	1.23
1923	0.989
1924	0.804
1925	0.997
1926	1.054
1927	0.997
1928	1.091
1929	1.297
1930	1.282
1931	1.409
1932	1.348
1933	1.106
1934	1.257
1935	1.175
1936	1.102
1937	0.814
1938	0.981
1939	0.883
1940	0.783
1941	0.677
1942	0.778
1943	1.012
1944	1.352
1945	1.166
1946	1.289
1947	0.988
1948	1.091
1949	1.053
1950	1.089
1951	1.224
1952	0.986
1953	1.254
1954	0.839
1955	0.673
1956	0.572
1957	0.856
1958	0.824
1959	0.383
1960	0.574
1961	0.798
1962	1.114
1963	1.315
1964	0.722
1965	0.79
1966	0.686
1967	0.476
1968	0.594
1969	0.689
1970	0.886
1971	0.551
1972	0.662
1973	0.753
1974	0.66
1975	0.818
1976	0.705
1977	0.891
1978	1.053
1979	1.032
1980	0.792
1981	1.113
1982	0.976
1983	1.284
1984	1.086
1985	1.309
1986	1.392
1987	1.537
1988	1.448
1989	0.883
1990	1.078
1991	1.029
1992	0.482
1993	0.895
1994	0.735
1995	0.674
1996	0.988
1997	1.045
1998	1.114
1999	1.122
2000	1.26
2001	1.243
2002	0.934
2003	1.067
2004	1.214
2005	1.457
2006	0.826