# europe_spai007 - Torrecilla Ronda - 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/4686
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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_spai007 - Torrecilla Ronda - 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:
#--------------------
#	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: Torrecilla Ronda
#	Location:
#	Country: Spain
#	Northernmost_Latitude: 36.67
#	Southernmost_Latitude: 36.67
#	Easternmost_Longitude: -5.08
#	Westernmost_Longitude: -5.08
#	Elevation: 1650 m
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# Data_Collection
#	Collection_Name: europe_spai007B
#	Earliest_Year: 1790
#	Most_Recent_Year: 1982
#	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":"5.40862200862","T2":"17.0007622349","M1":"0.0226200019599","M2":"0.416819476787"}}
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# Species
#	Species_Name: Spanish fir
#	Species_Code: ABPN
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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
1790	1.077
1791	1.117
1792	1.058
1793	1.144
1794	1.35
1795	1.396
1796	1.181
1797	1.024
1798	0.894
1799	0.975
1800	0.953
1801	1.384
1802	1.01
1803	0.889
1804	0.763
1805	1.144
1806	1.195
1807	1.199
1808	0.951
1809	1.323
1810	1.201
1811	1.121
1812	0.854
1813	0.972
1814	0.965
1815	1.317
1816	1.264
1817	1.203
1818	1.37
1819	0.991
1820	0.657
1821	0.717
1822	0.819
1823	1.078
1824	0.697
1825	0.885
1826	0.693
1827	0.7
1828	0.769
1829	0.807
1830	1.081
1831	0.731
1832	1.096
1833	0.981
1834	1.046
1835	1.272
1836	0.963
1837	0.954
1838	0.864
1839	0.861
1840	0.693
1841	0.801
1842	0.997
1843	1.23
1844	1.027
1845	1.093
1846	1.0
1847	0.93
1848	0.728
1849	0.92
1850	1.05
1851	1.017
1852	0.911
1853	0.797
1854	0.978
1855	0.824
1856	1.064
1857	0.827
1858	0.818
1859	0.9
1860	0.981
1861	1.212
1862	1.259
1863	0.984
1864	1.104
1865	0.919
1866	1.029
1867	0.755
1868	1.028
1869	1.069
1870	0.766
1871	0.807
1872	0.951
1873	1.161
1874	0.938
1875	1.15
1876	1.092
1877	1.14
1878	0.929
1879	0.76
1880	0.783
1881	0.875
1882	0.954
1883	0.971
1884	1.093
1885	0.993
1886	0.966
1887	1.077
1888	0.786
1889	0.837
1890	0.816
1891	1.191
1892	1.21
1893	1.044
1894	0.896
1895	1.039
1896	1.135
1897	1.174
1898	0.981
1899	1.089
1900	0.907
1901	1.185
1902	1.169
1903	1.441
1904	1.141
1905	1.288
1906	0.917
1907	0.911
1908	0.956
1909	0.844
1910	0.807
1911	0.73
1912	0.818
1913	0.975
1914	1.006
1915	0.724
1916	0.749
1917	0.694
1918	0.712
1919	0.763
1920	0.833
1921	0.998
1922	1.012
1923	0.904
1924	0.678
1925	0.8
1926	1.077
1927	0.965
1928	0.742
1929	1.065
1930	1.17
1931	0.978
1932	1.247
1933	1.13
1934	0.8
1935	0.935
1936	0.816
1937	1.028
1938	0.955
1939	0.959
1940	1.24
1941	1.157
1942	0.962
1943	0.691
1944	1.147
1945	1.044
1946	0.701
1947	0.577
1948	0.651
1949	0.739
1950	0.84
1951	0.766
1952	0.922
1953	0.88
1954	0.803
1955	0.959
1956	1.123
1957	1.501
1958	1.271
1959	1.112
1960	1.108
1961	1.095
1962	1.185
1963	0.811
1964	0.747
1965	0.827
1966	1.172
1967	1.093
1968	0.963
1969	1.106
1970	1.463
1971	0.951
1972	0.965
1973	1.224
1974	1.126
1975	1.067
1976	1.291
1977	1.211
1978	1.425
1979	1.009
1980	1.018
1981	1.045
1982	1.143