ÃÂ¯ÃÂ»ÃÂ¿# europe_spai011 - Torreton - 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
#
# Original_Source_URL:https://www.ncdc.noaa.gov/paleo/study/3292
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# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: europe_spai011 - Torreton - 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 VaganovÃÂ¢ÃÂÃÂShashkin 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 4ÃÂ¢ÃÂÃÂ6 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 modelÃÂ¢ÃÂÃÂs 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: Torreton
#	Location:
#	Country: Spain
#	Northernmost_Latitude: 40.18
#	Southernmost_Latitude: 40.18
#	Easternmost_Longitude: -2.08
#	Westernmost_Longitude: -2.08
#	Elevation: 1500 m
#--------------------
# Data_Collection
#	Collection_Name: europe_spai011B
#	Earliest_Year: 1485
#	Most_Recent_Year: 1988
#	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":"4.44335543042","T2":"16.3506990063","M1":"0.022282203604","M2":"0.44509708202"}}
#--------------------
# Species
#	Species_Name: Austrian pine
#	Species_Code: PINI
#--------------------
# 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
1485	1.028
1486	0.814
1487	0.817
1488	0.714
1489	0.754
1490	0.898
1491	1.002
1492	1.068
1493	0.848
1494	1.281
1495	1.288
1496	1.368
1497	1.73
1498	1.948
1499	1.914
1500	0.633
1501	1.136
1502	0.393
1503	0.732
1504	0.74
1505	0.919
1506	0.782
1507	0.675
1508	0.646
1509	0.914
1510	0.623
1511	0.863
1512	0.546
1513	0.69
1514	0.841
1515	0.645
1516	0.636
1517	0.638
1518	0.798
1519	0.625
1520	0.581
1521	0.859
1522	0.886
1523	0.802
1524	0.811
1525	0.891
1526	0.977
1527	1.465
1528	1.166
1529	1.026
1530	1.207
1531	1.542
1532	0.602
1533	0.591
1534	0.711
1535	1.015
1536	0.931
1537	0.915
1538	1.256
1539	1.306
1540	1.618
1541	1.458
1542	1.503
1543	2.029
1544	1.351
1545	0.748
1546	0.734
1547	1.328
1548	1.594
1549	1.118
1550	1.159
1551	0.836
1552	1.403
1553	0.903
1554	0.584
1555	0.973
1556	1.18
1557	1.439
1558	1.675
1559	1.222
1560	0.39
1561	0.503
1562	0.252
1563	0.317
1564	0.381
1565	0.865
1566	0.975
1567	0.915
1568	1.085
1569	0.952
1570	1.082
1571	1.204
1572	0.856
1573	0.977
1574	0.888
1575	1.039
1576	0.956
1577	0.929
1578	1.018
1579	0.81
1580	0.806
1581	0.364
1582	0.529
1583	0.663
1584	0.823
1585	0.937
1586	1.179
1587	1.184
1588	1.245
1589	0.903
1590	0.428
1591	0.518
1592	1.231
1593	1.207
1594	0.953
1595	1.193
1596	0.839
1597	0.69
1598	0.871
1599	1.11
1600	1.165
1601	0.575
1602	1.152
1603	1.478
1604	1.157
1605	1.312
1606	1.126
1607	1.132
1608	1.781
1609	1.312
1610	1.091
1611	0.951
1612	0.995
1613	1.466
1614	1.564
1615	0.795
1616	1.008
1617	1.188
1618	1.258
1619	1.178
1620	1.22
1621	1.074
1622	1.245
1623	1.022
1624	0.66
1625	0.865
1626	0.603
1627	0.644
1628	0.697
1629	0.962
1630	1.208
1631	0.737
1632	1.071
1633	0.722
1634	1.122
1635	1.525
1636	1.116
1637	1.155
1638	1.002
1639	0.911
1640	0.918
1641	0.841
1642	0.981
1643	1.349
1644	1.286
1645	1.102
1646	0.986
1647	1.116
1648	1.073
1649	0.766
1650	0.817
1651	1.14
1652	0.823
1653	1.005
1654	0.847
1655	0.882
1656	1.503
1657	1.152
1658	1.064
1659	0.696
1660	1.031
1661	0.936
1662	1.138
1663	1.078
1664	0.994
1665	0.759
1666	1.091
1667	1.228
1668	0.735
1669	0.683
1670	1.06
1671	1.537
1672	1.067
1673	0.988
1674	1.159
1675	0.778
1676	0.801
1677	0.876
1678	1.061
1679	0.766
1680	0.901
1681	1.11
1682	1.206
1683	0.873
1684	0.436
1685	0.622
1686	1.031
1687	1.122
1688	0.916
1689	0.858
1690	1.296
1691	1.136
1692	1.273
1693	1.172
1694	1.246
1695	1.178
1696	0.875
1697	1.301
1698	1.073
1699	1.216
1700	1.329
1701	1.209
1702	1.378
1703	1.639
1704	1.067
1705	0.784
1706	0.867
1707	0.926
1708	0.611
1709	0.602
1710	0.787
1711	1.086
1712	0.956
1713	0.891
1714	0.597
1715	1.208
1716	1.23
1717	0.547
1718	0.604
1719	0.976
1720	1.111
1721	1.038
1722	1.358
1723	1.285
1724	1.181
1725	0.358
1726	0.442
1727	0.541
1728	0.621
1729	0.62
1730	0.812
1731	0.816
1732	0.595
1733	0.738
1734	0.728
1735	0.759
1736	1.038
1737	0.68
1738	0.671
1739	1.04
1740	1.123
1741	0.766
1742	0.801
1743	0.955
1744	0.709
1745	1.174
1746	0.772
1747	1.128
1748	0.93
1749	0.769
1750	0.925
1751	0.615
1752	0.497
1753	0.443
1754	0.494
1755	0.762
1756	0.931
1757	0.95
1758	0.897
1759	1.123
1760	1.17
1761	1.119
1762	1.336
1763	1.591
1764	1.072
1765	1.023
1766	0.785
1767	0.885
1768	0.633
1769	0.528
1770	0.574
1771	0.764
1772	0.964
1773	1.136
1774	0.966
1775	1.038
1776	1.2
1777	1.016
1778	0.702
1779	0.594
1780	0.528
1781	0.969
1782	0.911
1783	1.137
1784	1.435
1785	1.027
1786	0.635
1787	1.017
1788	1.22
1789	0.853
1790	0.892
1791	1.377
1792	1.286
1793	1.179
1794	1.386
1795	1.571
1796	1.872
1797	1.221
1798	1.036
1799	1.057
1800	1.01
1801	1.209
1802	1.173
1803	0.508
1804	0.867
1805	0.794
1806	0.693
1807	0.818
1808	0.817
1809	1.072
1810	1.224
1811	1.185
1812	0.944
1813	1.463
1814	1.509
1815	1.538
1816	1.007
1817	1.118
1818	1.363
1819	1.453
1820	1.108
1821	1.173
1822	0.909
1823	0.871
1824	0.702
1825	0.961
1826	1.092
1827	1.055
1828	1.001
1829	0.944
1830	0.806
1831	0.655
1832	0.996
1833	0.882
1834	1.153
1835	0.807
1836	0.683
1837	0.998
1838	0.822
1839	0.915
1840	0.752
1841	0.816
1842	0.551
1843	0.546
1844	0.712
1845	0.99
1846	1.048
1847	0.717
1848	0.833
1849	0.978
1850	1.315
1851	0.914
1852	0.754
1853	0.737
1854	1.054
1855	0.872
1856	1.193
1857	1.051
1858	0.912
1859	0.986
1860	0.836
1861	0.873
1862	0.941
1863	0.933
1864	0.964
1865	1.006
1866	1.068
1867	0.819
1868	0.753
1869	0.812
1870	0.68
1871	0.756
1872	0.804
1873	0.778
1874	0.915
1875	1.089
1876	0.978
1877	1.34
1878	1.148
1879	0.544
1880	0.835
1881	0.959
1882	0.951
1883	1.115
1884	1.17
1885	1.566
1886	1.405
1887	0.958
1888	1.249
1889	1.294
1890	1.015
1891	0.975
1892	1.269
1893	0.861
1894	0.814
1895	0.635
1896	0.642
1897	0.788
1898	0.721
1899	0.802
1900	0.494
1901	0.595
1902	0.711
1903	0.935
1904	0.927
1905	0.989
1906	0.884
1907	1.028
1908	1.222
1909	0.938
1910	1.032
1911	1.044
1912	1.194
1913	1.363
1914	1.297
1915	0.917
1916	1.065
1917	0.852
1918	0.988
1919	1.279
1920	1.064
1921	1.092
1922	1.053
1923	0.883
1924	0.814
1925	1.083
1926	1.104
1927	0.876
1928	0.899
1929	0.943
1930	0.921
1931	0.799
1932	1.095
1933	1.143
1934	0.816
1935	0.792
1936	1.063
1937	1.389
1938	1.295
1939	1.292
1940	1.908
1941	1.306
1942	1.019
1943	1.149
1944	1.211
1945	1.087
1946	0.914
1947	0.989
1948	1.159
1949	0.861
1950	1.173
1951	1.185
1952	1.622
1953	1.188
1954	1.029
1955	1.052
1956	0.983
1957	0.943
1958	0.93
1959	1.289
1960	1.453
1961	1.391
1962	1.108
1963	0.822
1964	0.826
1965	0.653
1966	0.901
1967	0.649
1968	0.597
1969	0.509
1970	0.603
1971	0.611
1972	0.757
1973	1.073
1974	0.908
1975	1.204
1976	1.108
1977	1.213
1978	1.062
1979	1.203
1980	1.318
1981	0.663
1982	1.078
1983	0.95
1984	0.759
1985	1.102
1986	0.834
1987	1.152
1988	1.217