# europe_spai044 - Hecho Puerto de Acher - Breitenmoser Tree Ring Chronology Data
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#		World Data Center for Paleoclimatology, Boulder
#				and
#		NOAA Paleoclimatology Program
#-----------------------------------------------------------------------
# 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/4258
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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
#--------------------
# Title
#	Study_Name: europe_spai044 - Hecho Puerto de Acher - Breitenmoser Tree Ring Chronology Data
#--------------------
# 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.
#--------------------
#	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: Hecho Puerto de Acher
#	Location:
#	Country: Spain
#	Northernmost_Latitude: 42.8
#	Southernmost_Latitude: 42.8
#	Easternmost_Longitude: -0.7
#	Westernmost_Longitude: -0.7
#	Elevation: 1625 m
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# Data_Collection
#	Collection_Name: europe_spai044B
#	Earliest_Year: 1736
#	Most_Recent_Year: 1985
#	Time_Unit: y_ad
#	Core_Length:
#	Notes: {"database":{"database1":"LMR","database2":"Breits"}} {"climateInterpretation":{"basis":"", "climateVariable":"T", "climateVariableDetail":"air", "interpDirection":"positive", "seasonality":"[6, 7, 8]"}}{"VSLite_parameters":{"T1":"5.50158790664","T2":"18.23100398","M1":"0.0218666193599","M2":"0.345770930298"}}
#--------------------
# Species
#	Species_Name: pine
#	Species_Code: PISP
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# Chronology:
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# Variables
#
# 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)
#
##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
1736	1.14
1737	1.129
1738	1.068
1739	0.988
1740	0.686
1741	0.529
1742	0.855
1743	0.867
1744	0.581
1745	0.841
1746	0.75
1747	1.166
1748	0.844
1749	0.822
1750	1.026
1751	0.759
1752	0.992
1753	1.018
1754	1.128
1755	1.061
1756	0.991
1757	1.061
1758	1.087
1759	1.111
1760	0.796
1761	1.064
1762	1.125
1763	0.913
1764	1.06
1765	0.86
1766	0.681
1767	0.669
1768	0.741
1769	0.981
1770	0.894
1771	0.719
1772	0.763
1773	1.056
1774	0.958
1775	0.761
1776	0.614
1777	0.82
1778	0.725
1779	0.745
1780	0.859
1781	1.03
1782	0.701
1783	0.953
1784	1.114
1785	0.901
1786	1.034
1787	0.822
1788	1.202
1789	1.0
1790	0.958
1791	0.899
1792	0.781
1793	0.887
1794	1.197
1795	1.128
1796	1.225
1797	0.905
1798	1.223
1799	0.86
1800	1.258
1801	1.21
1802	1.071
1803	0.595
1804	0.637
1805	0.921
1806	1.078
1807	1.284
1808	0.679
1809	0.873
1810	1.05
1811	0.977
1812	0.944
1813	0.961
1814	1.092
1815	0.941
1816	0.643
1817	0.714
1818	0.889
1819	1.052
1820	0.923
1821	0.944
1822	0.87
1823	0.976
1824	1.061
1825	1.41
1826	1.107
1827	1.13
1828	1.124
1829	0.977
1830	1.192
1831	1.2
1832	0.872
1833	1.022
1834	1.593
1835	1.044
1836	0.849
1837	1.119
1838	1.137
1839	1.107
1840	1.0
1841	1.18
1842	1.231
1843	1.122
1844	0.843
1845	0.8
1846	1.215
1847	0.793
1848	0.918
1849	0.721
1850	0.774
1851	0.725
1852	0.998
1853	0.899
1854	0.981
1855	0.733
1856	0.865
1857	0.861
1858	0.744
1859	0.98
1860	0.942
1861	1.098
1862	0.943
1863	1.011
1864	1.271
1865	1.122
1866	0.959
1867	1.325
1868	0.845
1869	0.805
1870	0.908
1871	0.888
1872	1.092
1873	1.049
1874	1.088
1875	1.192
1876	0.916
1877	0.929
1878	1.318
1879	0.712
1880	0.791
1881	0.952
1882	1.081
1883	0.966
1884	0.922
1885	1.019
1886	1.05
1887	1.024
1888	0.924
1889	1.08
1890	0.813
1891	0.968
1892	1.023
1893	1.236
1894	0.994
1895	1.009
1896	0.765
1897	0.828
1898	0.938
1899	1.003
1900	0.917
1901	1.251
1902	1.297
1903	1.27
1904	1.425
1905	1.351
1906	0.952
1907	1.015
1908	1.014
1909	1.045
1910	1.075
1911	1.431
1912	0.89
1913	0.898
1914	1.107
1915	1.18
1916	1.067
1917	1.176
1918	1.014
1919	0.817
1920	0.993
1921	0.849
1922	0.558
1923	1.033
1924	1.139
1925	1.089
1926	1.075
1927	1.015
1928	0.837
1929	1.058
1930	1.01
1931	0.944
1932	1.03
1933	1.113
1934	0.797
1935	0.743
1936	1.083
1937	0.961
1938	0.863
1939	0.851
1940	0.948
1941	0.751
1942	0.618
1943	0.971
1944	0.923
1945	0.65
1946	0.87
1947	0.798
1948	1.036
1949	0.724
1950	0.516
1951	0.887
1952	1.4
1953	1.144
1954	0.92
1955	1.17
1956	1.233
1957	0.973
1958	1.273
1959	1.222
1960	0.976
1961	0.985
1962	0.667
1963	0.61
1964	1.131
1965	0.768
1966	0.895
1967	0.687
1968	0.994
1969	1.033
1970	1.32
1971	1.172
1972	0.897
1973	1.278
1974	1.071
1975	0.791
1976	1.092
1977	0.954
1978	1.115
1979	0.749
1980	0.846
1981	1.162
1982	1.037
1983	0.945
1984	0.719
1985	0.912