# europe_brit020 - Glen Derry - 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/4424
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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_brit020 - Glen Derry - 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: Glen Derry
#	Location:
#	Country: United Kingdom
#	Northernmost_Latitude: 57.02
#	Southernmost_Latitude: 57.02
#	Easternmost_Longitude: -3.57
#	Westernmost_Longitude: -3.57
#	Elevation: 457 m
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# Data_Collection
#	Collection_Name: europe_brit020B
#	Earliest_Year: 1796
#	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":"4.42326950123","T2":"18.4466067067","M1":"0.0225844069458","M2":"0.374493023836"}}
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# Species
#	Species_Name: Scots pine
#	Species_Code: PISY
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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
1796	1.038
1797	0.934
1798	0.968
1799	0.906
1800	1.076
1801	1.033
1802	1.071
1803	1.333
1804	1.207
1805	1.153
1806	1.07
1807	1.026
1808	0.934
1809	1.04
1810	0.823
1811	0.915
1812	1.027
1813	1.114
1814	0.971
1815	0.968
1816	0.868
1817	1.024
1818	0.959
1819	1.237
1820	1.023
1821	0.944
1822	1.007
1823	0.926
1824	1.065
1825	1.064
1826	0.943
1827	1.214
1828	1.135
1829	1.039
1830	1.155
1831	1.161
1832	1.173
1833	0.957
1834	1.0
1835	0.888
1836	0.674
1837	0.732
1838	0.761
1839	0.735
1840	0.843
1841	0.886
1842	0.785
1843	0.918
1844	0.827
1845	0.836
1846	0.96
1847	0.994
1848	0.985
1849	0.896
1850	0.983
1851	0.99
1852	1.073
1853	0.798
1854	1.077
1855	0.803
1856	0.798
1857	0.959
1858	0.889
1859	0.99
1860	0.931
1861	1.044
1862	1.207
1863	1.291
1864	1.047
1865	0.89
1866	0.865
1867	0.818
1868	1.148
1869	0.932
1870	1.012
1871	1.016
1872	1.038
1873	0.968
1874	1.082
1875	1.159
1876	0.941
1877	0.773
1878	1.054
1879	0.8
1880	1.248
1881	0.841
1882	1.173
1883	1.033
1884	1.15
1885	0.906
1886	0.962
1887	1.045
1888	0.977
1889	0.987
1890	1.048
1891	0.982
1892	1.05
1893	1.381
1894	1.252
1895	1.004
1896	1.105
1897	1.178
1898	1.165
1899	0.957
1900	0.89
1901	1.021
1902	0.878
1903	1.17
1904	1.32
1905	1.261
1906	1.011
1907	0.801
1908	0.765
1909	0.798
1910	0.992
1911	1.075
1912	1.049
1913	0.989
1914	1.104
1915	0.949
1916	0.941
1917	0.867
1918	1.191
1919	1.078
1920	0.912
1921	1.043
1922	0.811
1923	0.999
1924	1.002
1925	1.169
1926	1.031
1927	0.659
1928	0.529
1929	0.864
1930	0.967
1931	0.874
1932	1.097
1933	1.086
1934	0.928
1935	1.243
1936	1.162
1937	1.107
1938	1.124
1939	1.13
1940	0.749
1941	0.912
1942	0.936
1943	1.176
1944	1.059
1945	1.022
1946	0.917
1947	1.018
1948	0.985
1949	1.272
1950	0.962
1951	1.038
1952	1.103
1953	0.974
1954	0.83
1955	1.051
1956	0.744
1957	0.816
1958	0.886
1959	0.904
1960	0.823
1961	0.683
1962	0.827
1963	0.929
1964	1.095
1965	0.963
1966	0.883
1967	0.962
1968	0.721
1969	0.669
1970	0.69
1971	0.937
1972	0.954
1973	0.872
1974	0.849
1975	0.994
1976	0.915
1977	0.78
1978	0.996