ÃÂ¯ÃÂ»ÃÂ¿# europe_fran011 - L'Orgere B - 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/5107
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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_fran011 - L'Orgere B - 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: L'Orgere B
#	Location:
#	Country: France
#	Northernmost_Latitude: 45.22
#	Southernmost_Latitude: 45.22
#	Easternmost_Longitude: 6.68
#	Westernmost_Longitude: 6.68
#	Elevation: 2100 m
#--------------------
# Data_Collection
#	Collection_Name: europe_fran011B
#	Earliest_Year: 1516
#	Most_Recent_Year: 1973
#	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":"5.33616430101","T2":"17.17991427","M1":"0.0226673635477","M2":"0.404432157157"}}
#--------------------
# Species
#	Species_Name: European larch
#	Species_Code: LADE
#--------------------
# 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
1516	0.994
1517	0.959
1518	1.176
1519	1.045
1520	0.68
1521	1.049
1522	0.936
1523	0.771
1524	0.931
1525	1.275
1526	0.895
1527	0.783
1528	0.951
1529	0.945
1530	0.562
1531	0.925
1532	1.072
1533	0.862
1534	1.06
1535	1.146
1536	0.788
1537	0.723
1538	0.661
1539	1.189
1540	1.249
1541	1.018
1542	0.684
1543	0.791
1544	0.775
1545	1.02
1546	0.851
1547	0.735
1548	1.088
1549	1.049
1550	1.495
1551	1.385
1552	1.42
1553	1.143
1554	0.791
1555	1.053
1556	1.293
1557	1.3
1558	1.144
1559	1.047
1560	0.999
1561	1.136
1562	1.055
1563	1.095
1564	1.108
1565	0.969
1566	1.283
1567	1.199
1568	1.293
1569	1.062
1570	0.857
1571	0.712
1572	0.964
1573	0.816
1574	0.906
1575	1.135
1576	1.006
1577	0.902
1578	1.088
1579	0.52
1580	0.495
1581	0.787
1582	0.943
1583	1.272
1584	1.477
1585	1.376
1586	1.351
1587	1.216
1588	0.73
1589	0.97
1590	1.024
1591	0.937
1592	1.016
1593	1.016
1594	0.836
1595	1.138
1596	0.914
1597	1.091
1598	0.798
1599	0.739
1600	0.914
1601	0.727
1602	0.764
1603	0.852
1604	1.012
1605	0.991
1606	0.946
1607	1.078
1608	1.026
1609	1.131
1610	1.271
1611	1.203
1612	0.951
1613	1.154
1614	1.32
1615	1.295
1616	1.464
1617	1.201
1618	1.048
1619	1.239
1620	1.08
1621	0.983
1622	1.059
1623	1.232
1624	0.973
1625	1.104
1626	0.843
1627	1.037
1628	0.574
1629	0.982
1630	1.128
1631	1.105
1632	0.937
1633	0.953
1634	0.881
1635	1.263
1636	1.021
1637	1.15
1638	1.219
1639	0.531
1640	0.825
1641	0.647
1642	0.542
1643	0.924
1644	0.689
1645	0.855
1646	0.772
1647	0.593
1648	0.965
1649	1.032
1650	1.091
1651	1.09
1652	0.888
1653	0.89
1654	0.85
1655	1.276
1656	1.324
1657	1.204
1658	1.154
1659	0.853
1660	0.475
1661	1.365
1662	1.154
1663	1.077
1664	1.411
1665	1.132
1666	0.932
1667	0.78
1668	0.84
1669	1.261
1670	1.003
1671	1.112
1672	0.938
1673	1.077
1674	1.156
1675	0.468
1676	0.746
1677	0.44
1678	0.601
1679	0.967
1680	0.993
1681	1.16
1682	1.245
1683	1.26
1684	1.436
1685	0.374
1686	0.594
1687	0.62
1688	0.696
1689	0.499
1690	0.66
1691	0.746
1692	0.713
1693	0.578
1694	0.78
1695	0.683
1696	0.55
1697	0.768
1698	0.775
1699	0.85
1700	0.966
1701	0.697
1702	0.841
1703	0.83
1704	0.99
1705	1.006
1706	1.231
1707	1.385
1708	0.89
1709	0.776
1710	1.015
1711	0.975
1712	1.101
1713	1.087
1714	1.281
1715	0.967
1716	1.208
1717	0.952
1718	1.323
1719	1.429
1720	1.7
1721	1.072
1722	1.401
1723	1.021
1724	1.673
1725	1.122
1726	1.211
1727	1.298
1728	1.729
1729	1.312
1730	0.93
1731	1.097
1732	0.684
1733	1.003
1734	1.034
1735	0.819
1736	0.943
1737	0.968
1738	0.965
1739	1.477
1740	1.09
1741	0.963
1742	0.894
1743	0.747
1744	0.958
1745	0.893
1746	1.19
1747	0.952
1748	1.148
1749	0.746
1750	0.684
1751	1.014
1752	0.921
1753	0.914
1754	0.936
1755	1.044
1756	1.078
1757	1.121
1758	0.656
1759	0.73
1760	1.06
1761	1.042
1762	1.006
1763	1.078
1764	1.343
1765	0.867
1766	1.067
1767	1.163
1768	1.078
1769	1.315
1770	1.177
1771	0.809
1772	1.021
1773	0.928
1774	0.95
1775	1.024
1776	1.017
1777	0.714
1778	0.908
1779	0.602
1780	1.218
1781	1.037
1782	1.128
1783	0.869
1784	1.017
1785	0.894
1786	1.088
1787	0.943
1788	1.113
1789	0.756
1790	0.731
1791	0.939
1792	0.999
1793	0.934
1794	0.891
1795	0.785
1796	1.227
1797	0.995
1798	1.084
1799	0.992
1800	0.958
1801	0.521
1802	0.747
1803	0.888
1804	1.153
1805	1.068
1806	1.094
1807	1.379
1808	1.2
1809	0.845
1810	0.437
1811	0.973
1812	0.818
1813	0.521
1814	0.821
1815	0.643
1816	0.618
1817	0.863
1818	0.951
1819	0.574
1820	0.682
1821	0.506
1822	1.071
1823	1.158
1824	0.925
1825	1.084
1826	0.989
1827	1.085
1828	0.984
1829	0.851
1830	0.613
1831	1.121
1832	0.971
1833	1.193
1834	1.237
1835	1.104
1836	0.935
1837	0.869
1838	0.776
1839	0.972
1840	1.15
1841	1.07
1842	1.378
1843	0.845
1844	1.183
1845	1.044
1846	1.19
1847	1.15
1848	1.034
1849	1.312
1850	1.067
1851	1.128
1852	1.007
1853	1.212
1854	0.828
1855	0.976
1856	0.924
1857	0.618
1858	1.059
1859	1.146
1860	1.097
1861	1.138
1862	0.993
1863	1.319
1864	1.161
1865	0.844
1866	0.995
1867	1.063
1868	1.116
1869	1.129
1870	1.072
1871	0.837
1872	0.918
1873	1.054
1874	1.288
1875	1.287
1876	1.142
1877	1.141
1878	1.107
1879	1.052
1880	0.839
1881	0.878
1882	0.931
1883	0.747
1884	0.783
1885	0.925
1886	0.59
1887	1.032
1888	0.686
1889	0.951
1890	0.922
1891	0.799
1892	1.004
1893	1.021
1894	1.126
1895	0.921
1896	1.1
1897	0.977
1898	0.793
1899	0.935
1900	0.804
1901	0.69
1902	0.782
1903	0.981
1904	1.089
1905	0.948
1906	0.871
1907	0.864
1908	1.051
1909	0.44
1910	0.748
1911	0.977
1912	1.059
1913	0.769
1914	0.87
1915	0.972
1916	0.926
1917	0.968
1918	0.822
1919	0.895
1920	1.009
1921	1.167
1922	1.156
1923	0.879
1924	1.117
1925	1.158
1926	0.764
1927	1.221
1928	1.295
1929	1.05
1930	1.209
1931	1.412
1932	1.324
1933	1.019
1934	1.148
1935	1.048
1936	0.853
1937	0.954
1938	1.102
1939	1.08
1940	0.7
1941	1.023
1942	1.113
1943	1.325
1944	1.256
1945	0.942
1946	0.991
1947	1.286
1948	0.952
1949	1.23
1950	0.991
1951	1.165
1952	1.109
1953	0.636
1954	0.805
1955	0.882
1956	0.939
1957	1.039
1958	1.341
1959	1.073
1960	0.984
1961	0.608
1962	0.753
1963	0.514
1964	0.986
1965	1.072
1966	1.173
1967	1.2
1968	0.894
1969	1.227
1970	1.009
1971	0.99
1972	0.68
1973	0.741