ÃÂ¯ÃÂ»ÃÂ¿# northamerica_usa_pa013 - Tionesta Natural Area - 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/3036
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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: northamerica_usa_pa013 - Tionesta Natural Area - 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: Tionesta Natural Area
#	Location:
#	Country: United States
#	Northernmost_Latitude: 41.75
#	Southernmost_Latitude: 41.75
#	Easternmost_Longitude: -78.97
#	Westernmost_Longitude: -78.97
#	Elevation: 700 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_pa013B
#	Earliest_Year: 1425
#	Most_Recent_Year: 1978
#	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":"4.45615867229","T2":"15.7938576625","M1":"0.0225960244957","M2":"0.507039106779"}}
#--------------------
# Species
#	Species_Name: eastern hemlock
#	Species_Code: TSCA
#--------------------
# 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
1425	0.767
1426	0.734
1427	0.788
1428	0.998
1429	0.954
1430	1.027
1431	0.852
1432	1.148
1433	1.319
1434	1.227
1435	1.278
1436	1.445
1437	1.351
1438	1.427
1439	1.247
1440	1.253
1441	0.969
1442	0.91
1443	0.903
1444	1.108
1445	1.013
1446	1.03
1447	0.979
1448	0.826
1449	0.871
1450	1.463
1451	1.33
1452	0.792
1453	0.972
1454	0.797
1455	0.99
1456	0.961
1457	1.004
1458	0.965
1459	0.915
1460	0.879
1461	0.591
1462	1.14
1463	0.914
1464	1.191
1465	1.477
1466	1.615
1467	1.431
1468	0.785
1469	1.136
1470	1.022
1471	0.793
1472	0.793
1473	0.648
1474	0.723
1475	1.218
1476	1.944
1477	0.97
1478	1.154
1479	1.314
1480	1.351
1481	0.881
1482	1.195
1483	1.11
1484	1.142
1485	0.705
1486	0.636
1487	0.85
1488	0.717
1489	0.768
1490	0.806
1491	0.77
1492	0.922
1493	0.822
1494	0.735
1495	0.699
1496	0.753
1497	0.572
1498	1.176
1499	0.78
1500	1.068
1501	1.276
1502	1.022
1503	0.799
1504	0.878
1505	0.806
1506	0.851
1507	1.142
1508	0.942
1509	0.763
1510	0.766
1511	0.89
1512	0.959
1513	1.106
1514	1.133
1515	1.002
1516	1.288
1517	0.827
1518	0.824
1519	0.724
1520	1.006
1521	0.934
1522	0.989
1523	0.833
1524	0.534
1525	0.829
1526	0.871
1527	1.442
1528	0.827
1529	0.576
1530	0.661
1531	0.857
1532	0.698
1533	0.741
1534	0.712
1535	0.747
1536	0.904
1537	0.612
1538	0.647
1539	0.848
1540	0.974
1541	1.182
1542	1.016
1543	0.836
1544	0.881
1545	0.553
1546	1.246
1547	0.899
1548	1.186
1549	1.166
1550	0.899
1551	0.839
1552	1.016
1553	1.096
1554	0.704
1555	0.876
1556	0.646
1557	0.758
1558	0.821
1559	0.617
1560	0.61
1561	0.498
1562	0.752
1563	0.809
1564	0.552
1565	0.589
1566	0.539
1567	0.797
1568	0.621
1569	0.583
1570	0.718
1571	0.696
1572	0.762
1573	0.641
1574	0.797
1575	0.755
1576	0.807
1577	0.741
1578	0.828
1579	0.571
1580	0.737
1581	0.663
1582	0.727
1583	0.651
1584	0.666
1585	0.896
1586	0.803
1587	0.601
1588	0.778
1589	0.752
1590	0.688
1591	0.663
1592	0.656
1593	0.948
1594	0.963
1595	0.888
1596	0.871
1597	0.656
1598	0.77
1599	0.791
1600	0.834
1601	0.898
1602	0.959
1603	0.939
1604	0.879
1605	0.817
1606	0.666
1607	0.89
1608	0.767
1609	0.963
1610	1.085
1611	1.005
1612	1.055
1613	1.1
1614	0.983
1615	1.098
1616	1.122
1617	1.073
1618	0.752
1619	1.016
1620	0.723
1621	0.966
1622	1.095
1623	1.135
1624	0.848
1625	0.814
1626	0.948
1627	1.154
1628	1.253
1629	1.066
1630	1.059
1631	0.874
1632	0.752
1633	0.959
1634	1.102
1635	0.924
1636	0.928
1637	1.124
1638	1.047
1639	1.006
1640	1.101
1641	1.139
1642	0.96
1643	1.225
1644	1.268
1645	1.02
1646	0.939
1647	1.148
1648	1.013
1649	0.774
1650	0.82
1651	1.185
1652	1.332
1653	1.22
1654	1.046
1655	0.973
1656	1.47
1657	1.314
1658	1.188
1659	1.305
1660	1.265
1661	1.395
1662	1.291
1663	1.073
1664	1.106
1665	1.101
1666	1.075
1667	1.333
1668	1.299
1669	1.277
1670	1.093
1671	1.106
1672	1.095
1673	1.338
1674	1.315
1675	1.137
1676	1.271
1677	1.29
1678	1.243
1679	1.355
1680	1.468
1681	0.908
1682	0.877
1683	1.003
1684	1.152
1685	1.092
1686	1.084
1687	1.047
1688	1.037
1689	0.929
1690	0.817
1691	0.689
1692	0.817
1693	1.049
1694	0.711
1695	1.029
1696	0.957
1697	1.108
1698	1.166
1699	0.881
1700	0.795
1701	0.922
1702	0.918
1703	0.803
1704	0.689
1705	0.916
1706	1.098
1707	0.978
1708	1.247
1709	0.943
1710	0.925
1711	1.016
1712	1.064
1713	1.097
1714	1.221
1715	1.085
1716	1.118
1717	1.023
1718	1.166
1719	1.073
1720	0.894
1721	1.131
1722	0.955
1723	0.962
1724	0.885
1725	1.137
1726	0.938
1727	1.099
1728	0.913
1729	0.88
1730	1.468
1731	1.5
1732	1.332
1733	1.154
1734	1.15
1735	1.039
1736	0.905
1737	0.933
1738	0.99
1739	1.008
1740	1.093
1741	0.845
1742	0.92
1743	1.045
1744	0.97
1745	1.102
1746	0.94
1747	0.91
1748	1.02
1749	0.833
1750	0.958
1751	0.877
1752	0.92
1753	0.779
1754	0.958
1755	1.058
1756	1.027
1757	0.977
1758	0.788
1759	0.975
1760	1.054
1761	1.093
1762	1.21
1763	1.124
1764	1.224
1765	0.956
1766	0.816
1767	0.902
1768	1.026
1769	1.282
1770	0.794
1771	0.762
1772	0.765
1773	0.818
1774	0.731
1775	0.994
1776	1.002
1777	1.097
1778	1.192
1779	0.989
1780	0.986
1781	0.861
1782	1.091
1783	0.797
1784	0.777
1785	0.773
1786	1.094
1787	1.091
1788	1.033
1789	1.183
1790	1.029
1791	1.306
1792	1.069
1793	1.046
1794	0.977
1795	0.853
1796	0.861
1797	1.027
1798	1.144
1799	1.081
1800	1.087
1801	1.086
1802	1.102
1803	1.256
1804	1.023
1805	1.202
1806	0.881
1807	0.834
1808	1.076
1809	0.765
1810	0.569
1811	0.806
1812	0.855
1813	1.031
1814	0.976
1815	1.275
1816	1.126
1817	1.159
1818	1.209
1819	0.626
1820	0.597
1821	0.727
1822	0.651
1823	0.633
1824	0.879
1825	1.036
1826	1.087
1827	1.2
1828	1.281
1829	1.209
1830	1.332
1831	1.384
1832	1.281
1833	1.116
1834	1.213
1835	1.308
1836	1.271
1837	1.089
1838	1.548
1839	0.794
1840	1.064
1841	1.024
1842	0.982
1843	1.082
1844	0.704
1845	0.884
1846	0.871
1847	0.987
1848	0.948
1849	0.905
1850	1.047
1851	1.187
1852	1.13
1853	0.787
1854	0.783
1855	0.652
1856	0.777
1857	0.739
1858	0.884
1859	1.281
1860	1.095
1861	1.246
1862	1.121
1863	1.094
1864	1.222
1865	0.907
1866	0.927
1867	0.925
1868	0.862
1869	0.667
1870	0.863
1871	0.818
1872	0.932
1873	0.764
1874	0.859
1875	1.01
1876	1.09
1877	0.922
1878	1.037
1879	0.87
1880	0.899
1881	0.72
1882	0.867
1883	1.126
1884	1.119
1885	0.743
1886	0.837
1887	0.76
1888	0.706
1889	1.007
1890	1.071
1891	0.933
1892	0.865
1893	1.002
1894	1.202
1895	0.676
1896	0.823
1897	1.117
1898	1.271
1899	1.11
1900	1.069
1901	1.031
1902	1.096
1903	1.396
1904	0.904
1905	1.163
1906	1.187
1907	1.159
1908	1.162
1909	0.882
1910	0.821
1911	0.515
1912	0.715
1913	1.083
1914	0.875
1915	0.825
1916	0.988
1917	0.841
1918	0.538
1919	0.886
1920	0.647
1921	0.95
1922	0.876
1923	0.824
1924	0.79
1925	1.301
1926	0.976
1927	0.85
1928	1.172
1929	1.128
1930	1.086
1931	0.857
1932	0.888
1933	1.028
1934	0.711
1935	0.892
1936	0.739
1937	0.716
1938	0.725
1939	0.994
1940	0.886
1941	1.166
1942	0.984
1943	1.19
1944	1.012
1945	1.158
1946	1.482
1947	1.159
1948	1.352
1949	1.121
1950	1.033
1951	1.15
1952	0.981
1953	0.782
1954	0.883
1955	0.971
1956	1.007
1957	1.22
1958	0.936
1959	1.159
1960	0.609
1961	0.958
1962	0.845
1963	0.887
1964	0.811
1965	0.778
1966	0.77
1967	0.647
1968	0.661
1969	0.615
1970	0.748
1971	1.008
1972	0.78
1973	0.934
1974	0.865
1975	0.881
1976	0.982
1977	0.847
1978	0.641