# europe_brit7 - Raemills - 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/2674
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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
#--------------------
# Title
#	Study_Name: europe_brit7 - Raemills - 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: Raemills
#	Location:
#	Country: United Kingdom
#	Northernmost_Latitude: 55.33
#	Southernmost_Latitude: 55.33
#	Easternmost_Longitude: -3.5
#	Westernmost_Longitude: -3.5
#	Elevation: 607 m
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# Data_Collection
#	Collection_Name: europe_brit7B
#	Earliest_Year: 1827
#	Most_Recent_Year: 1975
#	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":"6.88274968764","T2":"17.7000082151","M1":"0.0224962296103","M2":"0.347754413283"}}
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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
1827	0.758
1828	0.533
1829	0.761
1830	0.741
1831	1.056
1832	0.971
1833	1.13
1834	1.356
1835	1.466
1836	1.156
1837	1.015
1838	0.857
1839	0.82
1840	0.872
1841	0.516
1842	0.512
1843	0.473
1844	0.171
1845	0.364
1846	0.872
1847	0.655
1848	0.499
1849	0.588
1850	0.724
1851	0.85
1852	0.959
1853	1.019
1854	0.882
1855	1.117
1856	0.988
1857	1.197
1858	1.508
1859	1.74
1860	1.246
1861	1.261
1862	1.172
1863	0.989
1864	0.952
1865	1.173
1866	0.978
1867	0.91
1868	0.903
1869	0.948
1870	1.287
1871	1.14
1872	1.27
1873	1.201
1874	1.046
1875	1.224
1876	1.07
1877	1.088
1878	0.935
1879	0.943
1880	0.748
1881	0.553
1882	0.573
1883	0.502
1884	0.726
1885	0.645
1886	0.704
1887	1.202
1888	1.124
1889	1.277
1890	1.758
1891	1.483
1892	1.754
1893	1.481
1894	0.854
1895	0.949
1896	1.46
1897	1.562
1898	1.081
1899	1.485
1900	1.45
1901	1.086
1902	0.656
1903	1.117
1904	1.193
1905	1.017
1906	1.013
1907	0.652
1908	0.843
1909	0.748
1910	0.732
1911	1.304
1912	0.9
1913	0.83
1914	1.182
1915	0.978
1916	1.048
1917	1.13
1918	1.151
1919	1.214
1920	1.02
1921	1.281
1922	1.063
1923	1.044
1924	1.003
1925	0.913
1926	0.744
1927	0.706
1928	0.563
1929	0.757
1930	0.72
1931	0.685
1932	0.784
1933	1.214
1934	1.087
1935	0.684
1936	1.063
1937	0.868
1938	0.794
1939	1.185
1940	1.057
1941	0.916
1942	0.937
1943	0.952
1944	0.869
1945	0.805
1946	0.887
1947	1.073
1948	0.69
1949	0.745
1950	0.894
1951	0.78
1952	1.068
1953	0.971
1954	0.807
1955	0.987
1956	0.755
1957	0.79
1958	0.862
1959	1.224
1960	0.962
1961	0.88
1962	1.432
1963	1.099
1964	1.101
1965	0.787
1966	0.845
1967	0.759
1968	0.866
1969	0.869
1970	0.753
1971	0.695
1972	0.591
1973	0.637
1974	0.696
1975	1.025