# europe_finl066 - Pyhan Hakin 2 - 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:
#
# Online_Resource: https://www.ncdc.noaa.gov/paleo/study/24611
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# Original_Source_URL:https://www.ncdc.noaa.gov/paleo/study/2845
#
# 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_finl066 - Pyhan Hakin 2 - 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
#------------------
# Site_Information
#	Site_Name: Pyhan Hakin 2
#	Location:
#	Country: Finland
#	Northernmost_Latitude: 62.85
#	Southernmost_Latitude: 62.85
#	Easternmost_Longitude: 25.48
#	Westernmost_Longitude: 25.48
#	Elevation: 180 m
#--------------------
# Data_Collection
#	Collection_Name: europe_finl066B
#	Earliest_Year: 1627
#	Most_Recent_Year: 1983
#	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":"4.84374484286","T2":"16.5327036007","M1":"0.0223975692156","M2":"0.43785993997"}}
#--------------------
# 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
1627	0.882
1628	0.856
1629	0.926
1630	0.779
1631	0.876
1632	0.768
1633	0.785
1634	0.833
1635	0.614
1636	0.742
1637	0.625
1638	0.596
1639	0.676
1640	0.738
1641	0.797
1642	0.898
1643	0.959
1644	0.887
1645	1.077
1646	1.077
1647	1.195
1648	1.272
1649	1.128
1650	0.906
1651	1.01
1652	0.999
1653	1.194
1654	1.292
1655	1.356
1656	1.172
1657	1.18
1658	1.251
1659	1.161
1660	1.174
1661	1.115
1662	1.07
1663	1.076
1664	1.081
1665	1.079
1666	1.098
1667	1.026
1668	1.074
1669	0.836
1670	0.88
1671	0.791
1672	0.802
1673	0.968
1674	0.895
1675	0.805
1676	1.047
1677	1.029
1678	1.21
1679	1.124
1680	1.018
1681	1.242
1682	1.159
1683	1.073
1684	1.008
1685	0.965
1686	1.174
1687	1.277
1688	1.228
1689	1.263
1690	1.149
1691	1.247
1692	1.234
1693	1.341
1694	1.391
1695	0.995
1696	0.728
1697	0.91
1698	0.943
1699	0.817
1700	1.185
1701	1.237
1702	1.269
1703	1.068
1704	1.306
1705	1.183
1706	1.205
1707	1.094
1708	0.702
1709	0.524
1710	0.711
1711	0.885
1712	0.781
1713	0.779
1714	0.95
1715	0.882
1716	0.865
1717	0.745
1718	0.635
1719	0.584
1720	0.76
1721	0.786
1722	0.876
1723	1.051
1724	1.025
1725	1.009
1726	0.741
1727	0.827
1728	0.922
1729	1.118
1730	1.054
1731	0.909
1732	1.048
1733	1.038
1734	0.91
1735	0.774
1736	0.842
1737	0.933
1738	1.117
1739	1.047
1740	0.835
1741	0.545
1742	0.645
1743	0.777
1744	0.772
1745	0.719
1746	0.897
1747	0.824
1748	1.049
1749	0.782
1750	0.71
1751	0.797
1752	1.162
1753	1.143
1754	1.222
1755	1.106
1756	1.034
1757	1.134
1758	0.961
1759	1.008
1760	1.061
1761	1.017
1762	1.074
1763	1.161
1764	1.267
1765	1.129
1766	1.17
1767	0.739
1768	0.735
1769	0.729
1770	0.764
1771	0.747
1772	0.754
1773	0.901
1774	0.934
1775	0.972
1776	1.192
1777	1.206
1778	1.359
1779	1.111
1780	1.113
1781	1.022
1782	1.022
1783	1.054
1784	1.108
1785	1.066
1786	0.813
1787	0.758
1788	0.821
1789	0.793
1790	0.609
1791	0.743
1792	0.85
1793	1.14
1794	1.117
1795	0.945
1796	0.992
1797	1.134
1798	1.245
1799	1.32
1800	1.118
1801	1.105
1802	1.115
1803	0.89
1804	0.979
1805	0.976
1806	0.682
1807	0.928
1808	0.904
1809	1.008
1810	0.889
1811	0.916
1812	0.93
1813	0.871
1814	0.977
1815	0.91
1816	1.135
1817	1.228
1818	1.113
1819	1.26
1820	0.982
1821	0.991
1822	1.134
1823	1.02
1824	0.942
1825	1.06
1826	1.099
1827	0.787
1828	0.799
1829	1.032
1830	1.095
1831	1.096
1832	0.877
1833	1.069
1834	1.296
1835	0.983
1836	0.744
1837	0.774
1838	0.916
1839	1.035
1840	1.027
1841	0.922
1842	0.943
1843	0.936
1844	1.011
1845	0.958
1846	0.869
1847	0.741
1848	0.917
1849	1.075
1850	0.955
1851	1.033
1852	1.054
1853	0.953
1854	1.145
1855	1.079
1856	1.094
1857	1.019
1858	1.194
1859	0.833
1860	0.867
1861	1.085
1862	0.804
1863	0.94
1864	1.047
1865	1.05
1866	1.107
1867	0.949
1868	1.037
1869	1.195
1870	1.338
1871	1.218
1872	1.359
1873	1.378
1874	1.211
1875	1.167
1876	1.155
1877	1.222
1878	1.259
1879	1.202
1880	0.94
1881	0.764
1882	1.147
1883	1.027
1884	0.923
1885	1.122
1886	1.106
1887	1.063
1888	0.828
1889	0.989
1890	1.1
1891	0.986
1892	0.853
1893	0.934
1894	0.985
1895	1.052
1896	1.174
1897	1.298
1898	1.334
1899	0.903
1900	1.018
1901	1.436
1902	0.907
1903	0.896
1904	0.932
1905	1.044
1906	1.054
1907	1.061
1908	0.993
1909	1.263
1910	1.14
1911	1.071
1912	1.184
1913	1.222
1914	1.141
1915	1.254
1916	1.344
1917	1.336
1918	1.078
1919	1.191
1920	1.151
1921	1.051
1922	1.336
1923	1.162
1924	1.119
1925	0.903
1926	0.71
1927	0.95
1928	0.728
1929	0.898
1930	1.092
1931	0.749
1932	0.7
1933	0.795
1934	0.768
1935	0.808
1936	0.713
1937	0.739
1938	0.835
1939	0.841
1940	0.802
1941	0.874
1942	0.705
1943	0.977
1944	0.955
1945	0.92
1946	0.902
1947	1.046
1948	0.883
1949	0.968
1950	0.995
1951	0.924
1952	0.822
1953	1.079
1954	1.235
1955	0.994
1956	0.8
1957	0.891
1958	0.976
1959	1.027
1960	0.982
1961	0.861
1962	0.816
1963	0.759
1964	0.76
1965	0.726
1966	0.808
1967	1.009
1968	0.891
1969	0.781
1970	0.901
1971	0.854
1972	1.076
1973	0.976
1974	0.917
1975	0.91
1976	0.815
1977	0.744
1978	0.85
1979	1.036
1980	0.842
1981	0.886
1982	0.795
1983	0.743