ÃÂ¯ÃÂ»ÃÂ¿# europe_finl062 - Jurmarova - 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/2827
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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_finl062 - Jurmarova - 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: Jurmarova
#	Location:
#	Country: Finland
#	Northernmost_Latitude: 68.87
#	Southernmost_Latitude: 68.87
#	Easternmost_Longitude: 26.88
#	Westernmost_Longitude: 26.88
#	Elevation: 250 m
#--------------------
# Data_Collection
#	Collection_Name: europe_finl062B
#	Earliest_Year: 1560
#	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":"7.27523594596","T2":"20.2485744525","M1":"0.0226713659884","M2":"0.238771811962"}}
#--------------------
# 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
1560	0.854
1561	0.85
1562	0.987
1563	0.838
1564	0.845
1565	1.007
1566	0.933
1567	0.73
1568	1.072
1569	1.16
1570	1.11
1571	0.883
1572	0.743
1573	0.974
1574	0.675
1575	1.258
1576	1.173
1577	1.166
1578	0.97
1579	1.197
1580	0.875
1581	0.98
1582	1.277
1583	1.274
1584	1.015
1585	1.23
1586	1.199
1587	0.91
1588	0.974
1589	0.917
1590	0.837
1591	0.975
1592	1.262
1593	1.049
1594	1.375
1595	0.997
1596	0.946
1597	1.053
1598	0.98
1599	1.115
1600	1.007
1601	0.421
1602	0.866
1603	1.018
1604	0.962
1605	0.961
1606	1.052
1607	0.534
1608	0.574
1609	0.534
1610	0.62
1611	0.741
1612	0.694
1613	0.691
1614	0.681
1615	0.731
1616	0.954
1617	1.018
1618	1.098
1619	1.171
1620	0.761
1621	1.203
1622	1.21
1623	1.282
1624	1.183
1625	0.996
1626	1.333
1627	1.168
1628	1.343
1629	1.592
1630	1.176
1631	1.137
1632	1.27
1633	1.065
1634	1.409
1635	0.86
1636	1.072
1637	1.296
1638	1.26
1639	1.333
1640	1.508
1641	0.803
1642	0.935
1643	1.04
1644	0.681
1645	0.743
1646	0.85
1647	0.845
1648	1.092
1649	0.964
1650	0.816
1651	0.956
1652	0.97
1653	1.04
1654	1.207
1655	1.366
1656	1.248
1657	1.297
1658	1.448
1659	1.105
1660	1.252
1661	0.991
1662	1.145
1663	1.103
1664	1.249
1665	1.308
1666	1.021
1667	0.767
1668	1.076
1669	0.864
1670	0.937
1671	1.23
1672	1.065
1673	1.059
1674	0.851
1675	0.595
1676	0.703
1677	0.735
1678	0.728
1679	0.902
1680	0.339
1681	0.58
1682	0.811
1683	0.786
1684	0.915
1685	0.828
1686	0.952
1687	0.869
1688	0.744
1689	1.24
1690	0.998
1691	1.198
1692	1.062
1693	1.338
1694	1.361
1695	0.711
1696	0.527
1697	0.525
1698	0.446
1699	0.608
1700	0.59
1701	0.653
1702	0.876
1703	0.669
1704	0.968
1705	0.795
1706	0.891
1707	1.017
1708	0.815
1709	0.391
1710	0.881
1711	0.839
1712	0.751
1713	0.74
1714	0.747
1715	0.873
1716	0.644
1717	0.573
1718	0.874
1719	0.622
1720	0.698
1721	0.705
1722	0.682
1723	0.555
1724	0.647
1725	0.888
1726	0.737
1727	0.916
1728	0.741
1729	1.129
1730	1.134
1731	0.819
1732	0.931
1733	0.969
1734	0.509
1735	0.931
1736	1.124
1737	0.916
1738	1.353
1739	1.329
1740	0.976
1741	1.031
1742	1.191
1743	1.036
1744	1.159
1745	0.81
1746	1.204
1747	0.845
1748	1.089
1749	1.169
1750	1.327
1751	1.173
1752	1.177
1753	1.222
1754	1.259
1755	1.323
1756	1.414
1757	1.171
1758	1.097
1759	1.338
1760	1.268
1761	1.345
1762	1.386
1763	1.202
1764	1.053
1765	1.256
1766	1.316
1767	0.932
1768	0.987
1769	0.768
1770	0.829
1771	0.833
1772	1.131
1773	0.963
1774	1.047
1775	1.063
1776	1.048
1777	1.109
1778	1.125
1779	1.041
1780	1.404
1781	0.916
1782	1.108
1783	1.16
1784	1.091
1785	1.488
1786	1.071
1787	1.07
1788	1.139
1789	1.182
1790	0.879
1791	1.064
1792	1.103
1793	0.914
1794	0.938
1795	1.026
1796	1.145
1797	1.14
1798	1.044
1799	1.453
1800	1.076
1801	1.101
1802	1.182
1803	0.983
1804	1.216
1805	1.314
1806	0.453
1807	0.951
1808	1.107
1809	0.954
1810	0.767
1811	0.865
1812	0.728
1813	0.725
1814	0.678
1815	0.668
1816	0.731
1817	0.672
1818	0.942
1819	0.961
1820	0.729
1821	0.592
1822	0.539
1823	0.996
1824	1.029
1825	0.829
1826	1.576
1827	1.463
1828	1.059
1829	1.321
1830	1.367
1831	1.217
1832	1.05
1833	0.917
1834	1.161
1835	0.884
1836	0.863
1837	0.287
1838	0.889
1839	0.587
1840	0.943
1841	0.656
1842	0.41
1843	0.599
1844	0.558
1845	0.954
1846	0.788
1847	0.769
1848	0.606
1849	1.046
1850	0.919
1851	1.212
1852	1.261
1853	1.092
1854	1.363
1855	1.192
1856	1.154
1857	1.118
1858	1.358
1859	1.143
1860	1.194
1861	1.178
1862	0.903
1863	0.994
1864	1.22
1865	1.242
1866	0.926
1867	0.91
1868	0.893
1869	0.99
1870	0.982
1871	0.856
1872	0.849
1873	1.135
1874	0.807
1875	0.805
1876	1.086
1877	0.953
1878	0.82
1879	0.893
1880	0.705
1881	0.737
1882	1.01
1883	0.941
1884	0.972
1885	1.125
1886	1.362
1887	1.083
1888	0.706
1889	0.912
1890	1.17
1891	0.991
1892	0.515
1893	0.623
1894	0.782
1895	0.888
1896	0.947
1897	0.71
1898	1.084
1899	0.944
1900	0.589
1901	1.064
1902	0.652
1903	0.512
1904	0.759
1905	0.621
1906	0.713
1907	0.61
1908	0.591
1909	0.616
1910	0.272
1911	0.286
1912	0.659
1913	0.842
1914	1.096
1915	1.133
1916	1.043
1917	0.799
1918	0.993
1919	0.922
1920	1.093
1921	1.157
1922	1.302
1923	1.458
1924	1.339
1925	1.674
1926	1.089
1927	1.457
1928	0.987
1929	0.79
1930	1.372
1931	1.272
1932	1.224
1933	1.286
1934	1.579
1935	1.352
1936	1.007
1937	1.425
1938	1.267
1939	1.095
1940	0.821
1941	1.115
1942	0.972
1943	0.953
1944	1.083
1945	1.159
1946	0.887
1947	0.866
1948	0.987
1949	0.896
1950	1.005
1951	0.797
1952	0.994
1953	1.064
1954	1.125
1955	1.058
1956	0.949
1957	1.128
1958	1.012
1959	1.148
1960	1.307
1961	0.82
1962	0.859
1963	0.578
1964	1.258
1965	0.757
1966	0.932
1967	1.087
1968	0.911
1969	0.977
1970	0.977
1971	0.921
1972	1.132
1973	1.357
1974	0.99
1975	0.921
1976	1.025
1977	0.905
1978	0.791
1979	1.166
1980	0.913
1981	1.004
1982	1.113
1983	1.098