# europe_spai018 - Andrinal - 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/3283
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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_spai018 - Andrinal - 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: Andrinal
#	Location:
#	Country: Spain
#	Northernmost_Latitude: 40.43
#	Southernmost_Latitude: 40.43
#	Easternmost_Longitude: -4.93
#	Westernmost_Longitude: -4.93
#	Elevation: 1500 m
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# Data_Collection
#	Collection_Name: europe_spai018B
#	Earliest_Year: 1792
#	Most_Recent_Year: 1989
#	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":"4.51323404474","T2":"15.5505135132","M1":"0.0223547","M2":"0.424796264756"}}
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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
#
age	trsgi
1792	0.615
1793	0.574
1794	0.947
1795	1.17
1796	1.309
1797	1.325
1798	1.403
1799	1.61
1800	1.743
1801	1.663
1802	1.39
1803	0.834
1804	1.144
1805	1.202
1806	0.857
1807	1.119
1808	0.97
1809	0.897
1810	1.001
1811	1.329
1812	0.923
1813	0.779
1814	0.867
1815	1.073
1816	0.871
1817	1.029
1818	1.111
1819	1.044
1820	0.907
1821	1.184
1822	1.097
1823	1.108
1824	0.978
1825	0.818
1826	0.427
1827	0.401
1828	0.716
1829	0.875
1830	0.782
1831	0.66
1832	0.506
1833	0.679
1834	1.031
1835	1.362
1836	1.255
1837	1.049
1838	0.785
1839	0.819
1840	0.704
1841	0.979
1842	0.932
1843	1.1
1844	1.382
1845	1.257
1846	1.36
1847	1.072
1848	1.011
1849	1.052
1850	1.42
1851	1.115
1852	0.891
1853	0.574
1854	0.791
1855	0.659
1856	0.762
1857	0.886
1858	0.968
1859	0.93
1860	0.726
1861	0.794
1862	0.791
1863	0.838
1864	1.226
1865	1.412
1866	1.255
1867	1.417
1868	1.503
1869	1.51
1870	1.163
1871	0.934
1872	1.046
1873	1.002
1874	0.745
1875	0.611
1876	0.431
1877	0.85
1878	1.114
1879	0.776
1880	1.122
1881	1.523
1882	1.589
1883	1.134
1884	1.191
1885	1.567
1886	1.501
1887	0.983
1888	1.328
1889	1.133
1890	0.879
1891	0.883
1892	1.046
1893	1.233
1894	0.85
1895	0.97
1896	0.955
1897	0.899
1898	1.231
1899	0.873
1900	0.552
1901	0.709
1902	1.019
1903	1.494
1904	1.16
1905	1.046
1906	1.226
1907	1.292
1908	1.029
1909	0.653
1910	1.026
1911	1.242
1912	1.405
1913	1.235
1914	1.465
1915	0.975
1916	0.863
1917	0.734
1918	0.76
1919	0.979
1920	1.193
1921	1.066
1922	0.791
1923	1.082
1924	0.756
1925	0.998
1926	1.284
1927	0.963
1928	0.8
1929	0.84
1930	0.54
1931	0.565
1932	0.972
1933	1.015
1934	0.573
1935	0.713
1936	0.787
1937	1.06
1938	0.835
1939	0.834
1940	1.094
1941	0.663
1942	0.391
1943	0.752
1944	0.689
1945	0.994
1946	0.586
1947	0.697
1948	0.873
1949	0.997
1950	1.287
1951	0.893
1952	0.944
1953	1.033
1954	0.773
1955	0.904
1956	0.827
1957	1.145
1958	1.082
1959	1.031
1960	0.875
1961	0.867
1962	0.596
1963	0.58
1964	1.213
1965	0.904
1966	0.983
1967	0.764
1968	0.698
1969	0.767
1970	0.751
1971	0.691
1972	0.805
1973	1.202
1974	0.904
1975	0.769
1976	1.276
1977	1.465
1978	1.033
1979	0.675
1980	1.252
1981	0.993
1982	1.019
1983	1.298
1984	1.162
1985	1.065
1986	0.654
1987	1.163
1988	0.835
1989	0.765