# europe_spai041 - Gudar Los Roquetas - 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/4255
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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_spai041 - Gudar Los Roquetas - 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: Gudar Los Roquetas
#	Location:
#	Country: Spain
#	Northernmost_Latitude: 40.28
#	Southernmost_Latitude: 40.28
#	Easternmost_Longitude: -0.7
#	Westernmost_Longitude: -0.7
#	Elevation: 1475 m
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# Data_Collection
#	Collection_Name: europe_spai041B
#	Earliest_Year: 1796
#	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":"3.8142412782","T2":"16.3860682797","M1":"0.0229907337355","M2":"0.501801987227"}}
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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
1796	1.656
1797	1.333
1798	1.13
1799	1.176
1800	1.323
1801	1.639
1802	1.108
1803	0.308
1804	0.65
1805	0.413
1806	0.758
1807	0.644
1808	0.493
1809	0.852
1810	0.832
1811	1.037
1812	0.845
1813	0.774
1814	1.212
1815	1.215
1816	0.98
1817	0.732
1818	1.093
1819	1.09
1820	1.242
1821	0.945
1822	0.499
1823	1.327
1824	0.597
1825	1.179
1826	0.998
1827	1.106
1828	0.656
1829	1.035
1830	1.12
1831	0.897
1832	1.12
1833	1.116
1834	1.265
1835	1.257
1836	0.906
1837	0.8
1838	0.9
1839	0.898
1840	0.934
1841	1.381
1842	0.96
1843	0.958
1844	1.013
1845	1.078
1846	1.127
1847	1.006
1848	1.157
1849	0.375
1850	0.957
1851	0.719
1852	0.792
1853	1.045
1854	1.004
1855	0.697
1856	1.24
1857	0.771
1858	1.072
1859	0.741
1860	0.788
1861	1.113
1862	1.168
1863	1.174
1864	0.886
1865	0.985
1866	1.246
1867	0.587
1868	1.055
1869	0.496
1870	0.78
1871	0.928
1872	1.155
1873	0.938
1874	0.878
1875	0.81
1876	0.491
1877	0.544
1878	0.49
1879	0.319
1880	1.038
1881	0.643
1882	0.35
1883	0.541
1884	1.296
1885	1.287
1886	0.848
1887	0.599
1888	1.334
1889	1.4
1890	1.101
1891	1.173
1892	1.389
1893	1.083
1894	0.97
1895	1.177
1896	0.877
1897	0.921
1898	0.933
1899	1.127
1900	1.014
1901	0.956
1902	0.958
1903	1.378
1904	0.921
1905	0.963
1906	1.134
1907	0.996
1908	1.459
1909	0.745
1910	0.779
1911	1.064
1912	0.573
1913	0.747
1914	1.193
1915	1.25
1916	0.781
1917	0.904
1918	0.801
1919	1.087
1920	1.242
1921	0.882
1922	1.266
1923	1.301
1924	0.938
1925	0.578
1926	0.886
1927	1.069
1928	1.003
1929	1.021
1930	1.237
1931	0.796
1932	1.049
1933	1.265
1934	1.073
1935	1.12
1936	1.382
1937	1.24
1938	1.375
1939	0.948
1940	1.729
1941	1.222
1942	0.964
1943	1.028
1944	0.795
1945	0.598
1946	0.996
1947	0.812
1948	1.223
1949	1.196
1950	0.705
1951	1.266
1952	1.346
1953	0.784
1954	1.262
1955	1.305
1956	1.477
1957	1.158
1958	0.813
1959	1.425
1960	1.396
1961	0.85
1962	1.251
1963	0.866
1964	1.203
1965	0.56
1966	0.922
1967	0.371
1968	0.899
1969	0.734
1970	0.874
1971	0.982
1972	1.334
1973	1.577
1974	1.003
1975	0.787
1976	1.1
1977	1.331
1978	1.145
1979	0.512
1980	0.96
1981	0.324
1982	0.621
1983	0.573
1984	0.669
1985	0.778