# europe_spai009 - Boqueron - 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/3284
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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_spai009 - Boqueron - 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.
#--------------------
#	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: Boqueron
#	Location:
#	Country: Spain
#	Northernmost_Latitude: 40.35
#	Southernmost_Latitude: 40.35
#	Easternmost_Longitude: -2.13
#	Westernmost_Longitude: -2.13
#	Elevation: 1250 m
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# Data_Collection
#	Collection_Name: europe_spai009B
#	Earliest_Year: 1765
#	Most_Recent_Year: 1988
#	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":"4.401931667","T2":"15.6906901711","M1":"0.0224287151604","M2":"0.427235245698"}}
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# Species
#	Species_Name: Austrian pine
#	Species_Code: PINI
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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
1765	1.256
1766	0.862
1767	0.727
1768	0.713
1769	0.578
1770	0.618
1771	0.728
1772	0.889
1773	0.941
1774	1.033
1775	0.984
1776	0.879
1777	1.034
1778	0.856
1779	0.828
1780	0.634
1781	0.826
1782	1.069
1783	1.114
1784	1.17
1785	1.135
1786	0.997
1787	1.107
1788	1.441
1789	0.886
1790	0.827
1791	1.48
1792	1.164
1793	0.978
1794	0.98
1795	1.027
1796	1.228
1797	0.747
1798	0.62
1799	0.729
1800	0.853
1801	0.929
1802	0.954
1803	0.436
1804	0.809
1805	0.561
1806	0.537
1807	0.665
1808	0.656
1809	0.685
1810	1.175
1811	1.385
1812	0.851
1813	1.131
1814	1.167
1815	0.869
1816	0.797
1817	0.925
1818	1.16
1819	1.248
1820	0.86
1821	0.879
1822	0.968
1823	0.975
1824	0.821
1825	1.286
1826	1.382
1827	1.082
1828	1.18
1829	1.265
1830	1.141
1831	1.18
1832	1.138
1833	1.175
1834	1.814
1835	1.202
1836	1.103
1837	1.059
1838	1.042
1839	0.488
1840	0.689
1841	1.124
1842	0.822
1843	1.115
1844	1.189
1845	1.172
1846	1.411
1847	0.882
1848	0.661
1849	0.767
1850	1.222
1851	1.156
1852	0.675
1853	0.562
1854	0.837
1855	0.997
1856	1.508
1857	1.368
1858	1.417
1859	1.506
1860	1.001
1861	1.183
1862	0.958
1863	0.939
1864	1.162
1865	1.136
1866	0.879
1867	0.789
1868	0.877
1869	1.172
1870	0.865
1871	0.962
1872	1.12
1873	1.041
1874	1.002
1875	1.058
1876	1.043
1877	1.389
1878	1.285
1879	0.655
1880	1.068
1881	1.326
1882	1.238
1883	1.37
1884	1.305
1885	1.456
1886	1.327
1887	0.995
1888	1.062
1889	1.083
1890	0.879
1891	0.813
1892	0.957
1893	0.8
1894	0.792
1895	0.869
1896	0.889
1897	1.109
1898	0.943
1899	0.853
1900	0.452
1901	0.539
1902	0.913
1903	1.262
1904	0.851
1905	0.879
1906	0.944
1907	1.086
1908	1.108
1909	0.936
1910	1.155
1911	1.173
1912	1.174
1913	1.016
1914	1.31
1915	0.816
1916	0.832
1917	0.856
1918	0.646
1919	0.834
1920	1.101
1921	0.772
1922	0.789
1923	1.198
1924	0.732
1925	0.75
1926	1.026
1927	0.783
1928	1.092
1929	1.075
1930	1.03
1931	0.784
1932	0.905
1933	1.033
1934	0.583
1935	0.534
1936	0.923
1937	0.942
1938	0.763
1939	0.939
1940	1.139
1941	0.831
1942	0.759
1943	0.812
1944	0.815
1945	0.823
1946	0.802
1947	0.692
1948	1.157
1949	0.721
1950	0.775
1951	1.02
1952	1.051
1953	1.012
1954	0.773
1955	0.911
1956	1.134
1957	0.906
1958	0.861
1959	1.249
1960	1.307
1961	1.291
1962	1.028
1963	0.624
1964	0.889
1965	0.731
1966	0.816
1967	0.665
1968	0.436
1969	0.7
1970	0.987
1971	0.944
1972	0.798
1973	1.285
1974	1.176
1975	1.221
1976	1.349
1977	1.449
1978	1.016
1979	1.21
1980	1.542
1981	1.057
1982	1.077
1983	1.041
1984	0.98
1985	1.069
1986	0.658
1987	1.024
1988	1.137