# europe_finl059 - Riukuselka - Breitenmoser Tree Ring Chronology Data
#-----------------------------------------------------------------------
#		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/2848
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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_finl059 - Riukuselka - 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: Riukuselka
#	Location:
#	Country: Finland
#	Northernmost_Latitude: 68.45
#	Southernmost_Latitude: 68.45
#	Easternmost_Longitude: 28.07
#	Westernmost_Longitude: 28.07
#	Elevation: 320 m
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# Data_Collection
#	Collection_Name: europe_finl059B
#	Earliest_Year: 1681
#	Most_Recent_Year: 1983
#	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":"5.07803477074","T2":"19.8505714981","M1":"0.0225851416078","M2":"0.241953871839"}}
#--------------------
# Species
#	Species_Name: Scots pine
#	Species_Code: PISY
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# Chronology:
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#
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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
1681	0.731
1682	0.88
1683	0.992
1684	1.074
1685	0.904
1686	1.039
1687	1.258
1688	1.213
1689	1.565
1690	1.533
1691	1.794
1692	1.593
1693	1.803
1694	1.644
1695	0.995
1696	0.666
1697	0.705
1698	0.598
1699	0.566
1700	0.75
1701	0.815
1702	1.038
1703	0.868
1704	1.056
1705	0.92
1706	0.888
1707	0.839
1708	0.629
1709	0.381
1710	0.475
1711	0.613
1712	0.73
1713	0.672
1714	0.689
1715	0.743
1716	0.568
1717	0.529
1718	0.541
1719	0.446
1720	0.455
1721	0.367
1722	0.499
1723	0.517
1724	0.567
1725	0.675
1726	0.592
1727	0.706
1728	0.655
1729	1.041
1730	1.163
1731	0.833
1732	0.862
1733	0.899
1734	0.481
1735	0.978
1736	1.089
1737	0.836
1738	1.11
1739	1.153
1740	0.754
1741	0.703
1742	0.857
1743	0.817
1744	0.935
1745	0.767
1746	0.966
1747	0.697
1748	0.787
1749	0.764
1750	0.813
1751	0.786
1752	1.023
1753	1.111
1754	1.284
1755	1.418
1756	1.562
1757	1.557
1758	1.413
1759	1.481
1760	1.479
1761	1.46
1762	1.444
1763	1.377
1764	1.227
1765	1.398
1766	1.428
1767	1.065
1768	1.143
1769	0.809
1770	1.078
1771	0.894
1772	0.889
1773	0.663
1774	0.901
1775	0.975
1776	0.953
1777	1.138
1778	1.113
1779	1.1
1780	1.418
1781	1.12
1782	1.04
1783	0.958
1784	0.972
1785	1.297
1786	0.903
1787	1.013
1788	1.246
1789	1.443
1790	0.765
1791	0.641
1792	0.877
1793	0.747
1794	0.921
1795	1.088
1796	1.062
1797	1.07
1798	1.289
1799	1.51
1800	0.926
1801	0.888
1802	0.828
1803	0.765
1804	0.912
1805	1.104
1806	0.537
1807	1.096
1808	1.255
1809	1.148
1810	0.936
1811	0.791
1812	0.855
1813	0.817
1814	0.858
1815	0.941
1816	0.995
1817	0.961
1818	0.995
1819	1.084
1820	0.898
1821	0.956
1822	0.676
1823	1.111
1824	1.176
1825	0.969
1826	1.405
1827	1.372
1828	1.219
1829	1.351
1830	1.309
1831	1.318
1832	1.132
1833	0.944
1834	0.974
1835	0.869
1836	1.046
1837	0.401
1838	0.848
1839	0.514
1840	0.939
1841	0.643
1842	0.524
1843	0.551
1844	0.611
1845	0.935
1846	0.862
1847	0.796
1848	0.622
1849	0.955
1850	0.832
1851	1.076
1852	1.022
1853	1.02
1854	1.226
1855	1.217
1856	1.128
1857	1.207
1858	1.262
1859	1.112
1860	1.096
1861	1.172
1862	0.891
1863	0.801
1864	1.154
1865	1.151
1866	0.847
1867	0.893
1868	0.957
1869	0.983
1870	1.15
1871	0.949
1872	0.934
1873	1.152
1874	0.831
1875	0.758
1876	1.161
1877	1.092
1878	0.923
1879	1.082
1880	0.87
1881	0.984
1882	1.143
1883	1.063
1884	1.039
1885	1.273
1886	1.555
1887	1.259
1888	0.991
1889	1.123
1890	1.247
1891	1.114
1892	0.723
1893	0.754
1894	1.007
1895	0.985
1896	1.041
1897	0.681
1898	1.082
1899	0.903
1900	0.527
1901	0.96
1902	0.605
1903	0.475
1904	0.586
1905	0.505
1906	0.596
1907	0.521
1908	0.604
1909	0.492
1910	0.238
1911	0.254
1912	0.508
1913	0.506
1914	0.718
1915	0.736
1916	0.787
1917	0.666
1918	0.722
1919	0.81
1920	0.965
1921	1.005
1922	0.959
1923	1.083
1924	1.01
1925	1.073
1926	0.684
1927	1.065
1928	0.803
1929	0.71
1930	1.366
1931	1.275
1932	1.054
1933	1.075
1934	1.135
1935	0.982
1936	0.975
1937	1.338
1938	1.363
1939	1.039
1940	1.111
1941	1.492
1942	1.317
1943	1.298
1944	1.326
1945	1.347
1946	1.143
1947	0.909
1948	1.086
1949	0.976
1950	0.997
1951	0.913
1952	1.027
1953	1.291
1954	1.348
1955	1.131
1956	1.099
1957	1.406
1958	1.175
1959	1.332
1960	1.724
1961	1.151
1962	1.268
1963	0.878
1964	1.377
1965	0.69
1966	0.716
1967	0.882
1968	0.707
1969	0.794
1970	0.972
1971	0.906
1972	1.042
1973	1.081
1974	0.82
1975	0.903
1976	1.005
1977	0.99
1978	0.943
1979	1.416
1980	1.22
1981	1.181
1982	1.104
1983	1.153