# europe_gree009 - Taygetos Forest - 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/3814
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# Description/Documentation lines begin with #
# Data lines have no #
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# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: europe_gree009 - Taygetos Forest - 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: Taygetos Forest
#	Location:
#	Country: Greece
#	Northernmost_Latitude: 36.92
#	Southernmost_Latitude: 36.92
#	Easternmost_Longitude: 22.35
#	Westernmost_Longitude: 22.35
#	Elevation: 1400 m
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# Data_Collection
#	Collection_Name: europe_gree009B
#	Earliest_Year: 1707
#	Most_Recent_Year: 1999
#	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":"5.84703661502","T2":"13.8977883784","M1":"0.022321748045","M2":"0.198008162376"}}
#--------------------
# Species
#	Species_Name: Austrian pine
#	Species_Code: PINI
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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
#
#--------------------
# Data:
# Data lines follow (have no #)
# Data line format - tab-delimited text, variable short name as header
# Missing Values: nan
#
age	trsgi
1707	0.882
1708	0.845
1709	1.09
1710	0.897
1711	0.692
1712	0.921
1713	0.831
1714	0.836
1715	0.66
1716	0.495
1717	0.715
1718	0.76
1719	0.863
1720	0.874
1721	1.25
1722	1.25
1723	1.109
1724	1.203
1725	0.728
1726	0.666
1727	0.957
1728	0.973
1729	1.04
1730	0.917
1731	1.23
1732	1.223
1733	1.132
1734	0.942
1735	0.971
1736	1.158
1737	0.998
1738	0.887
1739	1.135
1740	0.994
1741	1.275
1742	1.035
1743	1.12
1744	1.302
1745	1.188
1746	1.204
1747	1.417
1748	1.463
1749	1.121
1750	1.098
1751	1.268
1752	0.86
1753	0.812
1754	0.784
1755	1.052
1756	0.891
1757	0.997
1758	0.893
1759	0.885
1760	0.914
1761	0.892
1762	1.192
1763	1.006
1764	0.837
1765	0.986
1766	1.079
1767	0.851
1768	0.813
1769	0.663
1770	0.716
1771	0.823
1772	0.775
1773	0.616
1774	0.747
1775	0.954
1776	1.004
1777	0.828
1778	0.943
1779	0.642
1780	1.042
1781	1.037
1782	0.979
1783	1.011
1784	0.956
1785	0.944
1786	1.172
1787	0.967
1788	1.03
1789	0.876
1790	0.742
1791	0.985
1792	0.863
1793	0.711
1794	0.631
1795	0.877
1796	0.852
1797	0.986
1798	0.988
1799	1.164
1800	0.944
1801	0.763
1802	0.925
1803	0.962
1804	1.234
1805	0.879
1806	0.779
1807	0.91
1808	0.836
1809	0.714
1810	0.867
1811	0.903
1812	0.893
1813	0.949
1814	0.86
1815	1.098
1816	1.151
1817	1.036
1818	1.182
1819	1.158
1820	0.88
1821	1.037
1822	1.04
1823	0.87
1824	0.557
1825	0.639
1826	1.022
1827	1.312
1828	1.191
1829	1.54
1830	1.003
1831	1.151
1832	1.128
1833	0.938
1834	0.84
1835	1.119
1836	1.167
1837	1.297
1838	1.195
1839	1.021
1840	0.806
1841	0.884
1842	0.916
1843	0.915
1844	0.886
1845	1.039
1846	0.999
1847	0.932
1848	0.996
1849	0.932
1850	0.8
1851	0.928
1852	0.868
1853	0.98
1854	0.904
1855	1.281
1856	0.851
1857	0.741
1858	1.047
1859	1.4
1860	1.149
1861	0.777
1862	1.158
1863	0.908
1864	0.849
1865	0.765
1866	0.85
1867	0.889
1868	0.812
1869	0.89
1870	0.707
1871	0.801
1872	0.971
1873	1.08
1874	0.916
1875	0.827
1876	1.02
1877	0.992
1878	0.83
1879	1.051
1880	1.016
1881	1.293
1882	1.203
1883	1.284
1884	1.254
1885	1.235
1886	1.025
1887	0.934
1888	1.008
1889	1.178
1890	0.941
1891	1.005
1892	1.141
1893	0.575
1894	-0.061
1895	0.284
1896	0.366
1897	0.551
1898	0.609
1899	0.745
1900	1.021
1901	1.049
1902	1.289
1903	1.34
1904	1.352
1905	1.316
1906	1.526
1907	1.064
1908	0.964
1909	0.988
1910	0.99
1911	0.995
1912	1.456
1913	1.714
1914	1.447
1915	1.098
1916	1.134
1917	1.1
1918	0.996
1919	1.354
1920	1.27
1921	1.045
1922	1.029
1923	0.872
1924	0.869
1925	0.945
1926	1.266
1927	1.077
1928	0.876
1929	0.819
1930	1.214
1931	1.075
1932	0.95
1933	1.083
1934	1.092
1935	0.958
1936	1.063
1937	1.174
1938	0.932
1939	0.96
1940	1.114
1941	1.15
1942	1.098
1943	0.758
1944	0.699
1945	0.832
1946	1.03
1947	0.906
1948	0.915
1949	0.718
1950	0.926
1951	0.988
1952	0.874
1953	1.049
1954	0.964
1955	0.978
1956	0.823
1957	0.86
1958	1.243
1959	1.22
1960	1.2
1961	1.019
1962	0.942
1963	1.143
1964	1.142
1965	1.053
1966	0.983
1967	1.279
1968	1.007
1969	0.779
1970	0.89
1971	1.044
1972	1.146
1973	0.925
1974	0.954
1975	1.224
1976	0.984
1977	0.801
1978	0.974
1979	1.05
1980	0.937
1981	1.144
1982	0.894
1983	0.934
1984	0.896
1985	0.776
1986	0.89
1987	0.67
1988	0.748
1989	0.697
1990	0.668
1991	0.867
1992	0.718
1993	0.953
1994	1.001
1995	0.79
1996	0.829
1997	0.883
1998	0.929
1999	0.806