# europe_finl005 - Lieksa Koivujoki - 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/3206
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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_finl005 - Lieksa Koivujoki - 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: Lieksa Koivujoki
#	Location:
#	Country: Finland
#	Northernmost_Latitude: 63.68
#	Southernmost_Latitude: 63.68
#	Easternmost_Longitude: 29.88
#	Westernmost_Longitude: 29.88
#	Elevation: 150 m
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# Data_Collection
#	Collection_Name: europe_finl005B
#	Earliest_Year: 1642
#	Most_Recent_Year: 1984
#	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":"4.20101017932","T2":"13.7221900611","M1":"0.0228766440177","M2":"0.537011690937"}}
#--------------------
# 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
1642	0.91
1643	0.855
1644	0.783
1645	0.622
1646	0.713
1647	0.962
1648	1.445
1649	1.29
1650	1.103
1651	1.11
1652	0.87
1653	0.869
1654	1.035
1655	1.647
1656	1.245
1657	1.166
1658	1.166
1659	0.949
1660	0.955
1661	1.11
1662	1.134
1663	1.07
1664	1.189
1665	1.134
1666	1.134
1667	1.171
1668	1.264
1669	0.977
1670	1.017
1671	1.299
1672	0.921
1673	1.194
1674	1.318
1675	0.986
1676	0.957
1677	0.902
1678	0.958
1679	0.982
1680	0.924
1681	1.425
1682	1.303
1683	1.337
1684	1.666
1685	1.544
1686	1.281
1687	0.962
1688	0.976
1689	0.882
1690	0.952
1691	1.028
1692	0.823
1693	0.854
1694	1.054
1695	0.918
1696	0.594
1697	0.962
1698	1.124
1699	1.075
1700	1.222
1701	1.304
1702	1.307
1703	1.08
1704	0.8
1705	0.675
1706	0.654
1707	0.503
1708	0.489
1709	0.354
1710	0.611
1711	0.598
1712	0.435
1713	0.385
1714	0.543
1715	0.721
1716	0.625
1717	0.792
1718	0.892
1719	0.821
1720	1.082
1721	1.088
1722	1.092
1723	1.211
1724	1.11
1725	1.209
1726	1.312
1727	1.44
1728	1.241
1729	1.075
1730	0.998
1731	0.784
1732	0.787
1733	0.853
1734	0.918
1735	0.961
1736	1.118
1737	0.929
1738	1.028
1739	0.844
1740	0.594
1741	0.259
1742	0.139
1743	0.356
1744	0.353
1745	0.365
1746	0.531
1747	0.635
1748	0.691
1749	0.646
1750	0.855
1751	0.923
1752	1.231
1753	1.322
1754	1.447
1755	1.621
1756	1.617
1757	1.922
1758	1.625
1759	1.427
1760	1.312
1761	1.261
1762	1.368
1763	1.262
1764	1.163
1765	1.164
1766	0.996
1767	0.842
1768	0.879
1769	0.84
1770	0.67
1771	0.59
1772	0.641
1773	0.858
1774	1.024
1775	1.185
1776	1.061
1777	1.008
1778	1.213
1779	1.184
1780	1.465
1781	1.245
1782	1.383
1783	1.345
1784	1.177
1785	1.168
1786	0.97
1787	0.886
1788	1.032
1789	0.986
1790	0.439
1791	0.439
1792	0.443
1793	0.68
1794	0.716
1795	0.633
1796	0.731
1797	0.771
1798	0.908
1799	1.034
1800	0.852
1801	0.995
1802	1.053
1803	0.955
1804	1.108
1805	1.084
1806	0.796
1807	0.833
1808	0.815
1809	0.986
1810	0.838
1811	1.038
1812	0.907
1813	0.795
1814	1.097
1815	0.864
1816	0.826
1817	0.862
1818	0.917
1819	0.953
1820	0.832
1821	0.819
1822	0.711
1823	0.635
1824	0.874
1825	1.021
1826	1.136
1827	1.038
1828	0.784
1829	0.889
1830	0.862
1831	0.869
1832	0.806
1833	0.927
1834	1.092
1835	0.943
1836	0.846
1837	0.73
1838	0.97
1839	1.032
1840	0.926
1841	1.097
1842	1.414
1843	1.159
1844	0.999
1845	1.0
1846	0.929
1847	0.869
1848	1.141
1849	1.136
1850	1.286
1851	1.386
1852	1.247
1853	0.937
1854	0.977
1855	0.905
1856	0.881
1857	0.813
1858	1.052
1859	0.95
1860	0.967
1861	1.104
1862	1.011
1863	1.29
1864	1.149
1865	1.246
1866	1.16
1867	0.894
1868	1.136
1869	1.142
1870	0.852
1871	0.809
1872	0.76
1873	0.731
1874	0.648
1875	0.666
1876	0.581
1877	0.874
1878	0.763
1879	0.732
1880	0.585
1881	0.693
1882	0.956
1883	0.818
1884	0.992
1885	1.03
1886	0.919
1887	0.801
1888	0.784
1889	0.846
1890	0.958
1891	0.887
1892	0.88
1893	0.904
1894	0.914
1895	0.97
1896	1.031
1897	1.017
1898	1.132
1899	1.102
1900	1.18
1901	1.339
1902	0.989
1903	0.963
1904	1.049
1905	0.835
1906	0.732
1907	0.839
1908	1.127
1909	1.075
1910	1.067
1911	1.113
1912	1.352
1913	1.265
1914	1.515
1915	1.735
1916	1.486
1917	1.322
1918	1.105
1919	1.048
1920	1.266
1921	1.624
1922	1.841
1923	1.775
1924	1.718
1925	1.43
1926	1.073
1927	1.235
1928	1.16
1929	1.227
1930	1.191
1931	0.853
1932	1.075
1933	0.734
1934	0.894
1935	0.696
1936	0.941
1937	0.88
1938	0.819
1939	1.042
1940	1.078
1941	1.073
1942	1.009
1943	1.179
1944	1.279
1945	1.238
1946	1.197
1947	1.31
1948	1.328
1949	1.025
1950	0.978
1951	0.893
1952	0.799
1953	1.091
1954	1.276
1955	0.873
1956	0.568
1957	0.753
1958	0.687
1959	0.707
1960	0.66
1961	0.754
1962	0.775
1963	0.634
1964	0.763
1965	0.653
1966	0.776
1967	0.951
1968	0.826
1969	0.643
1970	0.602
1971	0.658
1972	0.667
1973	0.825
1974	0.892
1975	0.75
1976	0.714
1977	0.595
1978	0.623
1979	0.739
1980	0.593
1981	0.762
1982	0.695
1983	0.782
1984	0.732