# europe_spai026 - Puerto Llano - 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/4261
#
# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: europe_spai026 - Puerto Llano - 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: Puerto Llano
#	Location:
#	Country: Spain
#	Northernmost_Latitude: 37.82
#	Southernmost_Latitude: 37.82
#	Easternmost_Longitude: -2.95
#	Westernmost_Longitude: -2.95
#	Elevation: 1800 m
#--------------------
# Data_Collection
#	Collection_Name: europe_spai026B
#	Earliest_Year: 1601
#	Most_Recent_Year: 1985
#	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":"5.29706760779","T2":"16.9174056209","M1":"0.0226139645353","M2":"0.280040526185"}}
#--------------------
# 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
1601	0.865
1602	1.141
1603	0.85
1604	1.018
1605	1.041
1606	0.94
1607	1.111
1608	0.858
1609	1.01
1610	1.025
1611	1.027
1612	1.403
1613	1.253
1614	0.778
1615	0.945
1616	1.026
1617	1.165
1618	1.007
1619	1.107
1620	1.01
1621	1.039
1622	1.035
1623	0.624
1624	0.899
1625	1.053
1626	1.031
1627	0.843
1628	0.988
1629	1.128
1630	0.888
1631	1.011
1632	0.912
1633	0.942
1634	0.972
1635	0.979
1636	0.858
1637	0.743
1638	0.645
1639	0.796
1640	0.637
1641	0.69
1642	0.951
1643	1.188
1644	1.422
1645	1.106
1646	1.155
1647	1.02
1648	0.805
1649	0.882
1650	1.301
1651	0.928
1652	0.966
1653	1.024
1654	0.896
1655	0.932
1656	1.149
1657	1.312
1658	0.919
1659	1.102
1660	0.896
1661	1.427
1662	1.358
1663	1.092
1664	1.095
1665	1.035
1666	1.123
1667	0.858
1668	0.751
1669	0.828
1670	1.264
1671	1.071
1672	0.649
1673	0.794
1674	0.934
1675	0.962
1676	1.228
1677	1.458
1678	0.798
1679	0.597
1680	1.064
1681	0.977
1682	0.79
1683	0.68
1684	0.958
1685	1.333
1686	0.996
1687	0.738
1688	0.831
1689	1.002
1690	0.89
1691	1.098
1692	0.878
1693	0.991
1694	0.908
1695	0.824
1696	1.069
1697	0.923
1698	0.956
1699	1.259
1700	1.361
1701	1.201
1702	1.272
1703	0.965
1704	0.931
1705	0.98
1706	1.034
1707	0.904
1708	1.254
1709	1.195
1710	1.092
1711	0.788
1712	0.835
1713	0.781
1714	1.063
1715	1.298
1716	0.661
1717	0.681
1718	0.887
1719	0.948
1720	0.787
1721	1.101
1722	1.157
1723	1.14
1724	1.314
1725	0.626
1726	0.716
1727	0.943
1728	1.064
1729	0.728
1730	1.032
1731	1.086
1732	1.261
1733	1.087
1734	1.276
1735	0.824
1736	0.968
1737	1.317
1738	1.179
1739	1.097
1740	1.053
1741	0.96
1742	0.721
1743	0.8
1744	0.8
1745	1.003
1746	0.902
1747	1.365
1748	1.337
1749	1.094
1750	1.495
1751	1.034
1752	0.766
1753	0.791
1754	0.816
1755	1.191
1756	1.256
1757	1.326
1758	1.156
1759	1.42
1760	1.086
1761	1.089
1762	1.392
1763	1.383
1764	1.273
1765	1.049
1766	1.054
1767	0.98
1768	0.766
1769	0.586
1770	0.862
1771	0.831
1772	0.915
1773	1.068
1774	0.789
1775	0.938
1776	0.946
1777	0.908
1778	0.698
1779	0.705
1780	0.628
1781	0.953
1782	0.999
1783	0.599
1784	0.622
1785	0.644
1786	0.617
1787	0.688
1788	0.798
1789	0.644
1790	0.866
1791	1.262
1792	1.388
1793	1.028
1794	0.955
1795	1.274
1796	1.193
1797	0.89
1798	1.192
1799	0.974
1800	0.748
1801	1.123
1802	0.941
1803	0.971
1804	1.263
1805	0.665
1806	0.359
1807	0.706
1808	0.691
1809	0.955
1810	1.122
1811	1.33
1812	0.883
1813	0.818
1814	1.093
1815	1.28
1816	0.934
1817	0.86
1818	1.085
1819	1.08
1820	1.004
1821	0.941
1822	0.837
1823	0.842
1824	0.7
1825	0.831
1826	0.97
1827	1.046
1828	1.083
1829	1.064
1830	1.209
1831	0.743
1832	0.789
1833	1.093
1834	1.639
1835	1.398
1836	1.091
1837	1.316
1838	1.092
1839	1.028
1840	1.087
1841	1.32
1842	0.941
1843	1.205
1844	1.096
1845	1.118
1846	1.605
1847	1.248
1848	0.989
1849	1.154
1850	1.421
1851	1.404
1852	1.132
1853	1.282
1854	1.416
1855	1.338
1856	1.434
1857	0.738
1858	0.726
1859	0.843
1860	0.788
1861	0.995
1862	0.893
1863	0.907
1864	1.326
1865	1.027
1866	0.997
1867	1.02
1868	0.932
1869	1.276
1870	0.891
1871	0.956
1872	1.097
1873	1.152
1874	1.063
1875	1.03
1876	0.929
1877	1.222
1878	1.133
1879	0.605
1880	0.834
1881	1.074
1882	0.937
1883	1.208
1884	1.301
1885	1.421
1886	1.21
1887	0.789
1888	0.957
1889	1.148
1890	0.965
1891	1.173
1892	1.449
1893	1.293
1894	0.911
1895	0.817
1896	0.995
1897	0.904
1898	0.781
1899	0.991
1900	0.839
1901	0.752
1902	0.86
1903	1.148
1904	0.981
1905	1.012
1906	0.857
1907	0.879
1908	1.074
1909	0.822
1910	0.792
1911	0.877
1912	1.012
1913	1.037
1914	1.147
1915	0.831
1916	0.728
1917	0.802
1918	0.887
1919	0.947
1920	1.082
1921	0.844
1922	0.866
1923	1.037
1924	0.911
1925	0.949
1926	1.202
1927	0.747
1928	0.64
1929	0.987
1930	1.173
1931	0.973
1932	0.968
1933	1.331
1934	0.633
1935	0.613
1936	0.698
1937	0.911
1938	0.598
1939	0.793
1940	1.112
1941	0.923
1942	0.728
1943	0.715
1944	0.895
1945	0.8
1946	0.527
1947	0.642
1948	0.799
1949	0.611
1950	0.575
1951	0.432
1952	0.651
1953	0.843
1954	0.821
1955	0.93
1956	0.805
1957	0.929
1958	0.879
1959	0.532
1960	0.661
1961	0.892
1962	0.922
1963	0.538
1964	0.725
1965	0.577
1966	0.549
1967	0.668
1968	0.77
1969	1.032
1970	1.117
1971	0.871
1972	0.726
1973	1.016
1974	0.706
1975	0.73
1976	0.988
1977	1.229
1978	1.232
1979	1.013
1980	1.257
1981	1.0
1982	0.929
1983	0.948
1984	0.773
1985	0.823