# europe_neth028 - Mattemburgh All Trees - 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/3914
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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_neth028 - Mattemburgh All Trees - 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: Mattemburgh All Trees
#	Location:
#	Country: Netherlands
#	Northernmost_Latitude: 51.45
#	Southernmost_Latitude: 51.45
#	Easternmost_Longitude: 4.32
#	Westernmost_Longitude: 4.32
#	Elevation: 5 m
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# Data_Collection
#	Collection_Name: europe_neth028B
#	Earliest_Year: 1845
#	Most_Recent_Year: 1991
#	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":"5.34579798999","T2":"19.5052575045","M1":"0.0222241535832","M2":"0.292855381055"}}
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# Species
#	Species_Name: English oak
#	Species_Code: QURO
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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
1845	1.047
1846	1.201
1847	1.25
1848	1.155
1849	1.326
1850	1.246
1851	1.146
1852	1.034
1853	0.974
1854	0.887
1855	0.86
1856	0.785
1857	0.86
1858	0.946
1859	1.055
1860	1.173
1861	1.209
1862	1.265
1863	1.206
1864	1.2
1865	1.211
1866	1.183
1867	1.246
1868	1.238
1869	1.109
1870	1.084
1871	1.013
1872	0.958
1873	0.902
1874	0.955
1875	0.924
1876	0.973
1877	0.927
1878	1.005
1879	1.115
1880	1.123
1881	1.009
1882	0.965
1883	0.954
1884	0.926
1885	0.932
1886	0.945
1887	0.921
1888	0.861
1889	0.912
1890	0.913
1891	0.924
1892	0.87
1893	0.9
1894	0.921
1895	0.87
1896	0.886
1897	0.86
1898	0.836
1899	0.801
1900	0.793
1901	0.752
1902	0.691
1903	0.665
1904	0.677
1905	0.796
1906	0.824
1907	0.926
1908	0.966
1909	0.943
1910	0.969
1911	0.979
1912	0.881
1913	0.881
1914	0.85
1915	0.849
1916	0.858
1917	0.826
1918	0.791
1919	0.754
1920	0.734
1921	0.727
1922	0.814
1923	0.892
1924	0.929
1925	0.907
1926	0.869
1927	0.869
1928	0.829
1929	0.848
1930	0.913
1931	0.992
1932	1.021
1933	1.061
1934	1.012
1935	1.01
1936	1.078
1937	1.124
1938	1.099
1939	1.034
1940	0.962
1941	0.876
1942	0.983
1943	0.995
1944	1.151
1945	1.242
1946	1.313
1947	1.252
1948	1.263
1949	1.275
1950	1.288
1951	1.299
1952	1.214
1953	1.198
1954	1.108
1955	1.057
1956	1.054
1957	0.985
1958	1.174
1959	1.192
1960	1.159
1961	1.074
1962	0.957
1963	0.836
1964	0.804
1965	0.806
1966	0.801
1967	0.906
1968	0.991
1969	0.978
1970	0.966
1971	1.009
1972	0.972
1973	0.939
1974	0.934
1975	0.966
1976	0.805
1977	0.884
1978	0.968
1979	0.942
1980	0.91
1981	1.041
1982	1.043
1983	0.836
1984	0.775
1985	0.837
1986	0.908
1987	0.92
1988	0.991
1989	1.194
1990	1.191
1991	1.138