# europe_spai034 - Gredos Navarredonda - 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/4248
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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_spai034 - Gredos Navarredonda - 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: Gredos Navarredonda
#	Location:
#	Country: Spain
#	Northernmost_Latitude: 40.33
#	Southernmost_Latitude: 40.33
#	Easternmost_Longitude: -5.13
#	Westernmost_Longitude: -5.13
#	Elevation: 1470 m
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# Data_Collection
#	Collection_Name: europe_spai034B
#	Earliest_Year: 1810
#	Most_Recent_Year: 1985
#	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":"4.46855428425","T2":"16.1858963366","M1":"0.022105347765","M2":"0.460550593768"}}
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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
1810	1.016
1811	1.179
1812	1.151
1813	1.249
1814	1.006
1815	1.096
1816	0.856
1817	0.927
1818	1.118
1819	1.163
1820	0.981
1821	1.098
1822	0.834
1823	1.021
1824	1.04
1825	1.005
1826	0.932
1827	0.754
1828	0.742
1829	0.415
1830	0.697
1831	0.921
1832	0.826
1833	0.686
1834	0.744
1835	0.851
1836	0.984
1837	0.989
1838	1.022
1839	1.039
1840	0.798
1841	1.096
1842	0.949
1843	1.094
1844	0.931
1845	0.679
1846	1.086
1847	1.113
1848	1.092
1849	0.922
1850	1.177
1851	0.959
1852	1.06
1853	1.247
1854	1.07
1855	0.885
1856	0.863
1857	1.105
1858	0.898
1859	1.048
1860	0.91
1861	0.931
1862	0.687
1863	0.697
1864	0.274
1865	0.925
1866	1.01
1867	1.459
1868	0.817
1869	1.211
1870	0.981
1871	1.305
1872	1.211
1873	0.85
1874	0.681
1875	0.774
1876	0.747
1877	1.138
1878	1.196
1879	0.826
1880	1.144
1881	1.18
1882	1.162
1883	1.065
1884	1.217
1885	1.592
1886	1.616
1887	1.298
1888	1.263
1889	1.457
1890	1.11
1891	1.046
1892	0.899
1893	0.995
1894	0.839
1895	1.286
1896	1.275
1897	0.883
1898	0.888
1899	0.939
1900	0.85
1901	0.97
1902	1.397
1903	1.722
1904	1.366
1905	1.18
1906	1.006
1907	1.136
1908	0.902
1909	0.931
1910	1.083
1911	1.129
1912	1.243
1913	0.706
1914	1.153
1915	1.05
1916	0.826
1917	0.7
1918	0.6
1919	0.65
1920	0.694
1921	0.704
1922	0.712
1923	1.086
1924	0.752
1925	0.605
1926	0.848
1927	0.505
1928	0.81
1929	0.981
1930	1.203
1931	1.114
1932	0.877
1933	0.775
1934	0.682
1935	0.764
1936	0.806
1937	0.931
1938	0.881
1939	0.882
1940	1.479
1941	1.144
1942	0.779
1943	1.054
1944	1.037
1945	1.036
1946	0.78
1947	0.965
1948	1.144
1949	0.799
1950	0.804
1951	0.555
1952	1.128
1953	1.013
1954	0.839
1955	0.991
1956	1.083
1957	0.904
1958	0.838
1959	0.963
1960	0.827
1961	1.091
1962	0.925
1963	0.61
1964	0.951
1965	0.408
1966	0.554
1967	0.816
1968	0.784
1969	0.836
1970	1.11
1971	1.363
1972	0.95
1973	1.263
1974	0.976
1975	0.607
1976	0.519
1977	1.083
1978	1.468
1979	1.348
1980	1.507
1981	0.997
1982	1.234
1983	1.503
1984	1.11
1985	1.192