# europe_brit044 - Castle Coole - 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/2671
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# Description/Documentation lines begin with #
# Data lines have no #
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# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: europe_brit044 - Castle Coole - Breitenmoser Tree Ring Chronology Data
#--------------------
# 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:
#--------------------
#	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: Castle Coole
#	Location:
#	Country: United Kingdom
#	Northernmost_Latitude: 54.33
#	Southernmost_Latitude: 54.33
#	Easternmost_Longitude: -7.6
#	Westernmost_Longitude: -7.6
#	Elevation: 60 m
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# Data_Collection
#	Collection_Name: europe_brit044B
#	Earliest_Year: 1740
#	Most_Recent_Year: 1983
#	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":"6.0115276215","T2":"18.2075400162","M1":"0.0220781500542","M2":"0.371926462629"}}
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# Species
#	Species_Name: oak
#	Species_Code: QUSP
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# Chronology:
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# Variables
#
# 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
1740	0.657
1741	0.588
1742	0.429
1743	0.654
1744	0.779
1745	0.554
1746	0.702
1747	1.0
1748	0.912
1749	1.197
1750	1.058
1751	1.005
1752	1.099
1753	1.001
1754	1.028
1755	1.121
1756	0.924
1757	0.73
1758	1.056
1759	1.044
1760	0.943
1761	0.912
1762	0.793
1763	0.769
1764	0.802
1765	0.87
1766	0.895
1767	0.703
1768	1.058
1769	0.945
1770	0.764
1771	0.567
1772	0.863
1773	0.99
1774	0.958
1775	0.731
1776	0.921
1777	0.699
1778	0.792
1779	1.036
1780	0.988
1781	1.083
1782	0.946
1783	0.955
1784	1.247
1785	1.069
1786	0.965
1787	0.736
1788	0.971
1789	1.045
1790	0.843
1791	0.815
1792	1.078
1793	0.86
1794	0.872
1795	1.187
1796	1.058
1797	0.963
1798	1.316
1799	1.317
1800	1.199
1801	1.122
1802	0.798
1803	0.817
1804	0.923
1805	1.302
1806	1.3
1807	1.249
1808	1.317
1809	1.1
1810	0.876
1811	1.138
1812	1.104
1813	1.077
1814	1.091
1815	1.121
1816	0.785
1817	0.683
1818	1.193
1819	1.392
1820	1.151
1821	0.972
1822	1.192
1823	1.102
1824	1.055
1825	1.26
1826	1.192
1827	1.098
1828	0.955
1829	1.278
1830	1.062
1831	1.088
1832	1.192
1833	1.404
1834	1.611
1835	1.297
1836	1.046
1837	0.983
1838	1.372
1839	1.065
1840	0.638
1841	0.797
1842	0.844
1843	0.889
1844	1.041
1845	1.349
1846	1.288
1847	1.2
1848	1.23
1849	0.961
1850	1.112
1851	0.96
1852	1.081
1853	0.849
1854	1.075
1855	1.099
1856	0.968
1857	1.009
1858	1.031
1859	1.107
1860	0.934
1861	1.23
1862	1.032
1863	0.863
1864	0.931
1865	0.998
1866	0.948
1867	1.009
1868	0.948
1869	0.729
1870	0.995
1871	1.136
1872	0.792
1873	0.706
1874	0.842
1875	0.745
1876	0.678
1877	0.627
1878	0.785
1879	0.878
1880	0.674
1881	0.747
1882	1.163
1883	0.919
1884	0.844
1885	0.785
1886	0.829
1887	0.797
1888	0.893
1889	0.793
1890	1.023
1891	0.956
1892	0.975
1893	0.952
1894	0.757
1895	1.076
1896	1.123
1897	1.389
1898	0.987
1899	0.993
1900	1.062
1901	1.021
1902	1.015
1903	1.346
1904	1.161
1905	0.935
1906	0.902
1907	0.957
1908	0.962
1909	0.997
1910	1.041
1911	1.058
1912	1.22
1913	1.449
1914	1.232
1915	1.007
1916	1.102
1917	1.074
1918	1.052
1919	0.974
1920	0.938
1921	1.098
1922	0.95
1923	0.717
1924	0.717
1925	0.929
1926	0.807
1927	0.834
1928	0.596
1929	0.607
1930	0.652
1931	0.687
1932	0.668
1933	0.754
1934	0.783
1935	1.068
1936	0.981
1937	0.88
1938	0.763
1939	1.135
1940	1.134
1941	1.118
1942	1.041
1943	0.854
1944	0.861
1945	1.171
1946	0.957
1947	1.323
1948	1.011
1949	0.867
1950	1.094
1951	0.994
1952	1.062
1953	0.864
1954	0.843
1955	0.97
1956	0.811
1957	0.795
1958	0.944
1959	1.114
1960	1.111
1961	0.922
1962	0.993
1963	0.745
1964	0.881
1965	0.827
1966	0.886
1967	0.754
1968	1.006
1969	1.073
1970	0.937
1971	0.959
1972	0.837
1973	0.937
1974	1.028
1975	0.997
1976	1.002
1977	0.924
1978	0.976
1979	1.103
1980	1.1
1981	1.144
1982	1.449
1983	1.407