# europe_finl061 - Suojanpera - 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.
#
#
# 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/2857
#
# 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_finl061 - Suojanpera - 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.
#------------------
# 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
#------------------
# Site_Information
#	Site_Name: Suojanpera
#	Location:
#	Country: Finland
#	Northernmost_Latitude: 69.32
#	Southernmost_Latitude: 69.32
#	Easternmost_Longitude: 28.13
#	Westernmost_Longitude: 28.13
#	Elevation: 140 m
#--------------------
# Data_Collection
#	Collection_Name: europe_finl061B
#	Earliest_Year: 1621
#	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":"7.117347322","T2":"20.4322789305","M1":"0.0220392755508","M2":"0.202136387035"}}
#--------------------
# Species
#	Species_Name: Scots pine
#	Species_Code: PISY
#--------------------
# Chronology:
#
#
#
#--------------------
# 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
1621	1.025
1622	0.997
1623	1.193
1624	1.216
1625	1.241
1626	1.429
1627	1.161
1628	1.182
1629	1.545
1630	1.069
1631	1.259
1632	1.361
1633	1.073
1634	1.275
1635	1.01
1636	1.15
1637	1.453
1638	1.248
1639	1.126
1640	1.159
1641	0.821
1642	0.815
1643	0.882
1644	0.555
1645	0.712
1646	0.872
1647	0.909
1648	1.176
1649	0.894
1650	0.951
1651	1.003
1652	0.982
1653	0.988
1654	1.059
1655	1.182
1656	1.073
1657	1.032
1658	1.329
1659	1.099
1660	1.268
1661	0.952
1662	1.03
1663	0.981
1664	0.916
1665	1.238
1666	0.865
1667	0.667
1668	1.164
1669	0.946
1670	0.904
1671	1.178
1672	0.887
1673	0.895
1674	0.764
1675	0.53
1676	0.551
1677	0.628
1678	0.734
1679	0.835
1680	0.175
1681	0.572
1682	0.686
1683	0.662
1684	0.773
1685	0.807
1686	0.935
1687	0.699
1688	0.807
1689	1.267
1690	0.781
1691	0.882
1692	0.969
1693	1.303
1694	1.304
1695	0.714
1696	0.377
1697	0.418
1698	0.397
1699	0.479
1700	0.608
1701	0.617
1702	0.762
1703	0.598
1704	1.025
1705	0.823
1706	0.846
1707	1.113
1708	0.891
1709	0.399
1710	0.815
1711	0.797
1712	0.71
1713	0.712
1714	0.743
1715	1.061
1716	0.914
1717	0.624
1718	0.954
1719	0.466
1720	0.652
1721	0.562
1722	0.629
1723	0.569
1724	0.653
1725	0.816
1726	0.857
1727	1.283
1728	0.813
1729	1.138
1730	1.263
1731	0.877
1732	0.856
1733	0.982
1734	0.504
1735	1.153
1736	1.361
1737	1.055
1738	1.401
1739	1.569
1740	1.126
1741	1.063
1742	1.238
1743	0.981
1744	1.184
1745	0.864
1746	1.342
1747	0.999
1748	1.105
1749	1.182
1750	1.539
1751	1.234
1752	1.291
1753	1.7
1754	1.741
1755	1.737
1756	1.972
1757	1.776
1758	1.625
1759	1.479
1760	1.412
1761	1.583
1762	1.841
1763	1.517
1764	1.265
1765	1.586
1766	1.714
1767	1.185
1768	1.164
1769	0.781
1770	0.905
1771	0.952
1772	1.0
1773	1.109
1774	1.146
1775	1.125
1776	1.077
1777	1.228
1778	1.113
1779	1.105
1780	1.494
1781	0.931
1782	1.201
1783	1.065
1784	1.084
1785	1.289
1786	1.148
1787	1.042
1788	1.323
1789	1.187
1790	0.878
1791	1.198
1792	1.163
1793	0.996
1794	0.856
1795	0.932
1796	1.237
1797	1.176
1798	0.966
1799	1.526
1800	0.898
1801	0.975
1802	1.153
1803	0.845
1804	1.105
1805	1.296
1806	0.431
1807	0.955
1808	1.177
1809	1.043
1810	0.75
1811	0.736
1812	0.661
1813	0.521
1814	0.632
1815	0.622
1816	0.578
1817	0.642
1818	1.086
1819	1.25
1820	0.822
1821	0.75
1822	0.745
1823	1.324
1824	1.204
1825	0.751
1826	1.543
1827	1.547
1828	1.053
1829	1.275
1830	1.313
1831	1.225
1832	1.066
1833	0.999
1834	1.079
1835	1.002
1836	0.917
1837	0.404
1838	0.789
1839	0.541
1840	0.89
1841	0.618
1842	0.423
1843	0.656
1844	0.729
1845	0.989
1846	0.843
1847	0.879
1848	0.74
1849	1.051
1850	0.986
1851	1.063
1852	1.143
1853	1.035
1854	1.15
1855	0.945
1856	0.979
1857	0.98
1858	1.153
1859	1.053
1860	0.996
1861	0.907
1862	0.719
1863	0.888
1864	1.111
1865	1.069
1866	0.813
1867	0.837
1868	0.823
1869	1.051
1870	1.019
1871	0.866
1872	0.861
1873	1.135
1874	0.659
1875	0.797
1876	1.135
1877	0.959
1878	0.743
1879	0.567
1880	0.504
1881	0.528
1882	0.742
1883	0.762
1884	0.636
1885	0.669
1886	0.745
1887	0.757
1888	0.557
1889	0.746
1890	0.897
1891	0.742
1892	0.427
1893	0.44
1894	0.682
1895	0.788
1896	0.913
1897	0.642
1898	1.098
1899	0.794
1900	0.463
1901	0.842
1902	0.429
1903	0.31
1904	0.463
1905	0.446
1906	0.635
1907	0.587
1908	0.564
1909	0.551
1910	0.26
1911	0.408
1912	0.71
1913	0.745
1914	0.93
1915	1.056
1916	1.012
1917	0.84
1918	0.927
1919	0.898
1920	1.119
1921	1.13
1922	1.166
1923	1.205
1924	1.213
1925	1.54
1926	0.888
1927	1.401
1928	1.0
1929	0.787
1930	1.493
1931	1.583
1932	1.407
1933	1.551
1934	1.922
1935	1.665
1936	1.331
1937	1.856
1938	1.634
1939	1.338
1940	0.922
1941	1.418
1942	1.045
1943	1.015
1944	1.085
1945	1.294
1946	0.997
1947	1.011
1948	1.121
1949	1.139
1950	1.063
1951	0.925
1952	0.998
1953	1.289
1954	1.341
1955	0.903
1956	0.873
1957	1.203
1958	1.072
1959	1.204
1960	1.409
1961	1.055
1962	0.925
1963	0.586
1964	1.358
1965	0.843
1966	0.916
1967	1.103
1968	0.884
1969	0.768
1970	1.158
1971	0.956
1972	1.093
1973	1.515
1974	0.965
1975	1.051
1976	0.979
1977	0.959
1978	0.871
1979	1.155
1980	0.983
1981	0.91
1982	0.926
1983	0.981