ÃÂ¯ÃÂ»ÃÂ¿# europe_norw011 - Rorstaddalen - 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/3972
#
# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: europe_norw011 - Rorstaddalen - 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: Rorstaddalen
#	Location:
#	Country: Norway
#	Northernmost_Latitude: 67.6
#	Southernmost_Latitude: 67.6
#	Easternmost_Longitude: 15.33
#	Westernmost_Longitude: 15.33
#	Elevation: 90 m
#--------------------
# Data_Collection
#	Collection_Name: europe_norw011B
#	Earliest_Year: 1409
#	Most_Recent_Year: 1997
#	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":"4.92733629935","T2":"17.8261916002","M1":"0.0221929913376","M2":"0.373551117783"}}
#--------------------
# Species
#	Species_Name: Scots pine
#	Species_Code: PISY
#--------------------
# Chronology:
#
#
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#--------------------
# 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
1409	1.119
1410	0.94
1411	1.014
1412	1.05
1413	0.906
1414	1.26
1415	1.021
1416	0.877
1417	1.18
1418	1.074
1419	1.158
1420	1.049
1421	0.946
1422	0.979
1423	1.124
1424	1.165
1425	1.106
1426	1.246
1427	1.382
1428	1.112
1429	0.867
1430	0.816
1431	0.715
1432	0.649
1433	0.666
1434	0.796
1435	0.508
1436	0.486
1437	0.519
1438	0.652
1439	0.908
1440	1.193
1441	1.054
1442	1.019
1443	1.03
1444	1.325
1445	1.447
1446	1.445
1447	1.286
1448	0.889
1449	0.807
1450	NAN
1451	NAN
1452	NAN
1453	NAN
1454	NAN
1455	NAN
1456	NAN
1457	NAN
1458	NAN
1459	NAN
1460	NAN
1461	NAN
1462	NAN
1463	NAN
1464	NAN
1465	NAN
1466	NAN
1467	NAN
1468	NAN
1469	NAN
1470	NAN
1471	NAN
1472	NAN
1473	NAN
1474	NAN
1475	NAN
1476	NAN
1477	NAN
1478	NAN
1479	NAN
1480	NAN
1481	NAN
1482	NAN
1483	NAN
1484	NAN
1485	NAN
1486	NAN
1487	NAN
1488	NAN
1489	NAN
1490	NAN
1491	NAN
1492	NAN
1493	NAN
1494	NAN
1495	NAN
1496	NAN
1497	NAN
1498	NAN
1499	NAN
1500	NAN
1501	NAN
1502	NAN
1503	NAN
1504	NAN
1505	NAN
1506	NAN
1507	NAN
1508	NAN
1509	NAN
1510	NAN
1511	NAN
1512	NAN
1513	NAN
1514	NAN
1515	NAN
1516	NAN
1517	NAN
1518	NAN
1519	NAN
1520	NAN
1521	NAN
1522	NAN
1523	NAN
1524	NAN
1525	NAN
1526	NAN
1527	NAN
1528	NAN
1529	NAN
1530	NAN
1531	NAN
1532	NAN
1533	NAN
1534	NAN
1535	NAN
1536	NAN
1537	NAN
1538	NAN
1539	NAN
1540	NAN
1541	NAN
1542	NAN
1543	NAN
1544	NAN
1545	NAN
1546	NAN
1547	NAN
1548	NAN
1549	NAN
1550	0.647
1551	0.726
1552	0.586
1553	0.676
1554	0.872
1555	0.894
1556	0.98
1557	0.715
1558	0.788
1559	1.05
1560	1.131
1561	1.068
1562	0.857
1563	1.07
1564	1.422
1565	1.557
1566	1.467
1567	1.019
1568	0.925
1569	0.945
1570	1.137
1571	1.184
1572	1.33
1573	1.381
1574	1.077
1575	1.111
1576	1.037
1577	0.957
1578	0.962
1579	0.99
1580	0.839
1581	1.143
1582	1.052
1583	1
1584	0.88
1585	1.163
1586	1.049
1587	0.875
1588	0.799
1589	0.969
1590	0.781
1591	0.897
1592	0.714
1593	0.785
1594	1.036
1595	1.017
1596	1.058
1597	0.876
1598	1.139
1599	1.212
1600	1.253
1601	0.746
1602	0.973
1603	1.192
1604	1.069
1605	0.869
1606	1.382
1607	1.337
1608	1.273
1609	0.802
1610	0.843
1611	1.039
1612	0.801
1613	1.106
1614	0.822
1615	0.636
1616	0.633
1617	1.038
1618	0.929
1619	0.648
1620	0.595
1621	0.706
1622	0.771
1623	0.941
1624	1.093
1625	0.912
1626	0.986
1627	1.001
1628	0.938
1629	1.417
1630	1.203
1631	1.271
1632	1.246
1633	0.727
1634	0.867
1635	1.079
1636	1.266
1637	1.079
1638	1.034
1639	1.284
1640	1.065
1641	0.726
1642	0.896
1643	0.991
1644	0.709
1645	0.443
1646	0.845
1647	0.879
1648	0.935
1649	0.886
1650	0.883
1651	0.925
1652	0.773
1653	0.69
1654	1.131
1655	1.109
1656	1.037
1657	1.312
1658	1.44
1659	1.219
1660	1.155
1661	1.102
1662	1.066
1663	1.224
1664	1.157
1665	1.074
1666	0.954
1667	1.202
1668	1.14
1669	0.926
1670	0.842
1671	0.818
1672	0.701
1673	0.92
1674	1.006
1675	0.725
1676	0.723
1677	1.046
1678	0.968
1679	0.67
1680	0.174
1681	0.376
1682	0.52
1683	0.72
1684	0.785
1685	0.763
1686	0.498
1687	0.621
1688	0.731
1689	1.009
1690	0.809
1691	0.746
1692	0.818
1693	1.087
1694	1.041
1695	0.568
1696	0.431
1697	0.86
1698	1.026
1699	1.053
1700	1.014
1701	1.063
1702	1.391
1703	1.188
1704	0.994
1705	0.485
1706	0.699
1707	1.222
1708	0.892
1709	0.622
1710	0.917
1711	1.069
1712	1.334
1713	1.149
1714	0.549
1715	0.756
1716	0.948
1717	0.924
1718	0.545
1719	0.706
1720	0.701
1721	0.848
1722	1.219
1723	1.044
1724	0.992
1725	1.009
1726	1.238
1727	1.199
1728	0.743
1729	0.884
1730	1.314
1731	1.116
1732	1.076
1733	0.946
1734	0.696
1735	0.905
1736	1.356
1737	0.874
1738	1.228
1739	1.207
1740	0.742
1741	0.673
1742	0.941
1743	0.942
1744	1.051
1745	1.162
1746	1.054
1747	0.976
1748	1.064
1749	0.9
1750	1.21
1751	0.988
1752	1.361
1753	1.533
1754	1.499
1755	1.864
1756	1.348
1757	1.346
1758	1.444
1759	0.989
1760	0.929
1761	1.054
1762	1.277
1763	1.035
1764	0.879
1765	0.941
1766	1.241
1767	1.031
1768	0.872
1769	0.875
1770	0.711
1771	0.758
1772	0.8
1773	1.125
1774	1.444
1775	1.198
1776	0.955
1777	0.997
1778	1.12
1779	0.992
1780	0.799
1781	0.636
1782	0.777
1783	0.831
1784	0.726
1785	0.936
1786	0.859
1787	1.131
1788	1.136
1789	1.048
1790	0.98
1791	0.873
1792	1.08
1793	1.317
1794	1.109
1795	0.954
1796	1.031
1797	1.259
1798	1.467
1799	1.33
1800	1.002
1801	1.346
1802	1.178
1803	0.898
1804	1.197
1805	1.137
1806	0.938
1807	0.837
1808	1.316
1809	1.161
1810	0.821
1811	0.828
1812	0.713
1813	0.83
1814	1.319
1815	1.31
1816	1.317
1817	1.132
1818	1.13
1819	1.173
1820	1.121
1821	0.778
1822	0.836
1823	1.199
1824	1.355
1825	1.048
1826	1.408
1827	1.138
1828	1.328
1829	1.288
1830	1.096
1831	1.348
1832	1.367
1833	1.22
1834	0.926
1835	0.249
1836	0.612
1837	0.536
1838	0.663
1839	0.648
1840	0.745
1841	1.009
1842	1.221
1843	1.087
1844	1.406
1845	1.035
1846	0.747
1847	0.958
1848	0.796
1849	0.787
1850	0.615
1851	0.89
1852	1.021
1853	0.961
1854	1.086
1855	0.895
1856	0.721
1857	0.54
1858	0.89
1859	0.892
1860	1.178
1861	0.748
1862	0.814
1863	0.755
1864	0.7
1865	0.845
1866	0.824
1867	0.616
1868	0.585
1869	0.872
1870	1.066
1871	1.139
1872	1.243
1873	0.939
1874	0.487
1875	0.75
1876	0.996
1877	1.034
1878	1.059
1879	1.077
1880	0.869
1881	0.461
1882	0.814
1883	1.003
1884	1.054
1885	0.667
1886	0.847
1887	0.747
1888	0.744
1889	0.724
1890	0.935
1891	0.828
1892	0.706
1893	0.851
1894	1.053
1895	1.145
1896	0.998
1897	0.951
1898	0.636
1899	0.274
1900	0.388
1901	0.632
1902	0.539
1903	0.577
1904	0.647
1905	0.686
1906	0.712
1907	0.914
1908	0.9
1909	0.407
1910	0.753
1911	0.736
1912	0.984
1913	0.986
1914	1.121
1915	1.106
1916	1.273
1917	1.036
1918	1.232
1919	1.298
1920	1.325
1921	1.09
1922	1.335
1923	0.918
1924	1.043
1925	0.961
1926	0.924
1927	1.065
1928	0.917
1929	0.99
1930	1.35
1931	1.084
1932	1.138
1933	1.04
1934	1.098
1935	0.74
1936	0.806
1937	0.821
1938	1.001
1939	1.058
1940	1.14
1941	1.216
1942	0.993
1943	1.105
1944	1.067
1945	1.294
1946	1.357
1947	1.166
1948	1.365
1949	1.559
1950	1.308
1951	1.207
1952	0.93
1953	1.321
1954	1.37
1955	0.8
1956	0.786
1957	1.045
1958	0.886
1959	0.916
1960	1.065
1961	0.903
1962	0.958
1963	1.063
1964	1.014
1965	0.884
1966	0.977
1967	0.929
1968	1.164
1969	1.088
1970	1.44
1971	0.998
1972	1.142
1973	1.015
1974	1.106
1975	0.84
1976	0.864
1977	1.003
1978	0.999
1979	1.068
1980	1.093
1981	0.67
1982	0.752
1983	0.971
1984	0.979
1985	1.175
1986	0.676
1987	0.705
1988	0.82
1989	0.688
1990	1.014
1991	0.956
1992	0.838
1993	0.912
1994	0.939
1995	0.726
1996	0.812
1997	0.742