# europe_spai017 - Cercelas - 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/3285
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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_spai017 - Cercelas - 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
#--------------------
# 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: Cercelas
#	Location:
#	Country: Spain
#	Northernmost_Latitude: 40.43
#	Southernmost_Latitude: 40.43
#	Easternmost_Longitude: -4.78
#	Westernmost_Longitude: -4.78
#	Elevation: 1350 m
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# Data_Collection
#	Collection_Name: europe_spai017B
#	Earliest_Year: 1824
#	Most_Recent_Year: 1991
#	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":"4.22317849634","T2":"16.6437909738","M1":"0.022927016349","M2":"0.387817672027"}}
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# Species
#	Species_Name: Austrian pine
#	Species_Code: PINI
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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
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age	trsgi
1824	0.759
1825	1.077
1826	1.043
1827	0.941
1828	0.938
1829	0.972
1830	0.723
1831	0.861
1832	0.849
1833	0.865
1834	1.436
1835	1.571
1836	1.383
1837	1.255
1838	1.022
1839	1.094
1840	0.946
1841	0.923
1842	0.814
1843	1.034
1844	0.91
1845	0.957
1846	1.347
1847	0.797
1848	0.627
1849	0.769
1850	0.779
1851	0.613
1852	0.72
1853	0.845
1854	0.987
1855	1.139
1856	1.329
1857	1.15
1858	1.542
1859	1.633
1860	1.222
1861	1.288
1862	1.019
1863	1.254
1864	1.295
1865	1.279
1866	1.0
1867	0.992
1868	1.061
1869	1.427
1870	1.005
1871	0.659
1872	0.978
1873	0.751
1874	0.79
1875	1.039
1876	1.008
1877	1.199
1878	1.04
1879	0.839
1880	1.068
1881	1.025
1882	1.161
1883	1.089
1884	0.805
1885	1.052
1886	1.238
1887	0.904
1888	0.844
1889	1.022
1890	0.786
1891	0.949
1892	1.281
1893	1.026
1894	0.582
1895	0.844
1896	1.058
1897	0.872
1898	1.142
1899	1.172
1900	0.649
1901	0.721
1902	1.099
1903	1.382
1904	1.256
1905	1.284
1906	1.27
1907	1.38
1908	1.174
1909	0.923
1910	1.216
1911	1.344
1912	1.25
1913	1.189
1914	1.37
1915	0.953
1916	1.002
1917	0.82
1918	0.953
1919	1.205
1920	1.214
1921	0.943
1922	1.112
1923	1.254
1924	0.629
1925	0.744
1926	1.04
1927	0.905
1928	0.957
1929	1.027
1930	1.122
1931	0.966
1932	0.886
1933	0.902
1934	0.513
1935	0.359
1936	0.399
1937	0.656
1938	0.651
1939	0.705
1940	0.991
1941	0.649
1942	0.452
1943	0.502
1944	0.646
1945	0.634
1946	0.463
1947	0.535
1948	0.774
1949	0.735
1950	1.08
1951	0.825
1952	0.889
1953	1.097
1954	0.977
1955	0.965
1956	0.883
1957	1.011
1958	1.117
1959	1.253
1960	1.299
1961	1.158
1962	0.792
1963	0.847
1964	1.083
1965	0.768
1966	0.769
1967	1.015
1968	0.899
1969	0.856
1970	1.199
1971	0.896
1972	0.739
1973	1.251
1974	1.17
1975	1.108
1976	1.398
1977	1.57
1978	1.301
1979	0.717
1980	0.966
1981	1.056
1982	1.059
1983	1.059
1984	1.019
1985	0.906
1986	0.664
1987	0.885
1988	0.872
1989	0.855
1990	0.935
1991	0.743