# europe_gree005 - Olympos Oros - 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/4576
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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_gree005 - Olympos Oros - 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: Olympos Oros
#	Location:
#	Country: Greece
#	Northernmost_Latitude: 40.08
#	Southernmost_Latitude: 40.08
#	Easternmost_Longitude: 22.42
#	Westernmost_Longitude: 22.42
#	Elevation: 2250 m
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# Data_Collection
#	Collection_Name: europe_gree005B
#	Earliest_Year: 1693
#	Most_Recent_Year: 1981
#	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":"4.8624537676","T2":"15.7354792026","M1":"0.0224336600834","M2":"0.38406854713"}}
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# Species
#	Species_Name: Bosnian pine
#	Species_Code: PILE
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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
1693	1.408
1694	1.15
1695	1.057
1696	0.806
1697	0.865
1698	0.918
1699	1.175
1700	0.552
1701	0.776
1702	0.599
1703	0.794
1704	0.926
1705	0.813
1706	0.84
1707	0.994
1708	0.941
1709	1.221
1710	1.149
1711	1.006
1712	1.418
1713	1.343
1714	1.237
1715	0.943
1716	0.611
1717	0.799
1718	0.903
1719	1.219
1720	1.184
1721	1.019
1722	1.01
1723	0.882
1724	1.024
1725	0.63
1726	0.77
1727	0.828
1728	1.225
1729	1.164
1730	0.978
1731	1.202
1732	1.362
1733	1.56
1734	1.005
1735	1.183
1736	1.099
1737	1.247
1738	1.0
1739	0.848
1740	0.957
1741	0.82
1742	0.763
1743	0.811
1744	0.822
1745	0.961
1746	0.872
1747	0.798
1748	1.021
1749	1.146
1750	0.946
1751	1.064
1752	1.116
1753	1.098
1754	1.12
1755	1.05
1756	1.1
1757	1.209
1758	0.722
1759	0.969
1760	1.026
1761	1.028
1762	1.282
1763	1.177
1764	1.005
1765	1.283
1766	1.222
1767	1.261
1768	1.131
1769	1.065
1770	0.693
1771	1.058
1772	1.022
1773	0.825
1774	1.038
1775	1.03
1776	1.157
1777	1.009
1778	1.377
1779	0.98
1780	1.549
1781	1.247
1782	1.14
1783	1.003
1784	0.986
1785	0.801
1786	0.924
1787	0.638
1788	0.835
1789	0.861
1790	0.845
1791	1.122
1792	0.917
1793	0.896
1794	1.04
1795	0.802
1796	1.047
1797	0.993
1798	0.974
1799	0.979
1800	1.116
1801	1.015
1802	1.133
1803	1.18
1804	1.468
1805	1.333
1806	1.04
1807	1.174
1808	0.893
1809	0.854
1810	0.969
1811	1.106
1812	1.108
1813	0.659
1814	1.013
1815	0.964
1816	1.121
1817	0.981
1818	0.801
1819	0.922
1820	1.112
1821	0.915
1822	1.002
1823	0.934
1824	1.232
1825	1.232
1826	1.125
1827	1.244
1828	0.974
1829	0.796
1830	0.818
1831	1.006
1832	0.894
1833	0.588
1834	0.843
1835	0.862
1836	0.551
1837	0.937
1838	0.545
1839	0.792
1840	0.638
1841	0.853
1842	0.968
1843	0.866
1844	0.632
1845	0.958
1846	1.286
1847	0.969
1848	1.007
1849	1.014
1850	0.949
1851	1.084
1852	1.094
1853	1.127
1854	0.838
1855	1.107
1856	1.059
1857	0.989
1858	0.688
1859	0.884
1860	0.996
1861	0.567
1862	0.695
1863	0.817
1864	0.669
1865	0.976
1866	0.965
1867	0.798
1868	0.794
1869	0.946
1870	1.277
1871	1.226
1872	1.18
1873	1.497
1874	0.782
1875	1.018
1876	0.968
1877	1.232
1878	0.796
1879	0.639
1880	0.413
1881	0.958
1882	0.599
1883	0.774
1884	0.783
1885	0.807
1886	0.825
1887	0.825
1888	0.721
1889	0.873
1890	0.895
1891	0.871
1892	0.987
1893	0.88
1894	0.815
1895	0.931
1896	0.765
1897	1.039
1898	0.684
1899	1.11
1900	1.268
1901	1.313
1902	1.326
1903	1.163
1904	1.073
1905	1.168
1906	1.083
1907	0.958
1908	0.942
1909	0.935
1910	1.069
1911	0.65
1912	1.013
1913	0.952
1914	1.006
1915	1.114
1916	0.887
1917	1.239
1918	1.046
1919	1.005
1920	0.98
1921	0.935
1922	1.099
1923	0.94
1924	0.808
1925	0.931
1926	1.045
1927	1.041
1928	0.913
1929	0.539
1930	1.006
1931	1.021
1932	0.738
1933	0.917
1934	0.768
1935	0.905
1936	1.052
1937	0.792
1938	0.86
1939	1.107
1940	1.178
1941	1.336
1942	1.032
1943	1.462
1944	1.184
1945	1.124
1946	1.172
1947	1.095
1948	1.203
1949	0.946
1950	1.142
1951	1.28
1952	0.88
1953	0.858
1954	0.942
1955	1.034
1956	1.142
1957	0.735
1958	0.965
1959	1.027
1960	0.957
1961	1.055
1962	1.062
1963	0.923
1964	0.923
1965	1.018
1966	0.98
1967	1.031
1968	1.044
1969	1.002
1970	1.41
1971	1.172
1972	1.252
1973	1.132
1974	1.205
1975	1.203
1976	1.153
1977	1.112
1978	0.828
1979	0.825
1980	1.021
1981	1.163