ÃÂ¯ÃÂ»ÃÂ¿# northamerica_usa_nm550 - Fenton Lake - 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:
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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/5078
#
# 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_nm550 - Fenton Lake - 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: Fenton Lake
#	Location:
#	Country: United States
#	Northernmost_Latitude: 35.88
#	Southernmost_Latitude: 35.88
#	Easternmost_Longitude: -106.67
#	Westernmost_Longitude: -106.67
#	Elevation: 2560 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_nm550B
#	Earliest_Year: 1532
#	Most_Recent_Year: 1986
#	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":"3.97178510971","T2":"16.4396781838","M1":"0.0232470930097","M2":"0.532704497069"}}
#--------------------
# Species
#	Species_Name: ponderosa pine
#	Species_Code: PIPO
#--------------------
# 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
1532	0.587
1533	0.654
1534	0.729
1535	0.524
1536	0.545
1537	0.64
1538	0.615
1539	0.99
1540	1.239
1541	1.147
1542	0.565
1543	0.943
1544	0.665
1545	0.535
1546	0.828
1547	0.801
1548	0.642
1549	0.696
1550	1.106
1551	0.566
1552	0.819
1553	1.157
1554	1.104
1555	1.362
1556	1.286
1557	1.215
1558	0.82
1559	0.746
1560	0.53
1561	0.698
1562	0.465
1563	0.856
1564	1.061
1565	1.424
1566	1.203
1567	0.605
1568	1.126
1569	1.515
1570	1.613
1571	1.373
1572	1.495
1573	0.442
1574	0.765
1575	0.739
1576	0.577
1577	1.412
1578	0.83
1579	0.131
1580	0.184
1581	0.381
1582	0.419
1583	0.46
1584	0.545
1585	0.237
1586	0.791
1587	1.123
1588	1.146
1589	1.514
1590	0.769
1591	0.936
1592	0.861
1593	0.597
1594	1.385
1595	1.41
1596	1.344
1597	1.468
1598	1.064
1599	1.369
1600	0.9
1601	0.813
1602	0.999
1603	1.153
1604	1.093
1605	1.284
1606	1.29
1607	0.941
1608	1.167
1609	1.048
1610	1.548
1611	1.29
1612	1.222
1613	1.106
1614	1.043
1615	1.127
1616	0.757
1617	1.136
1618	1.334
1619	1.048
1620	1.198
1621	1.433
1622	0.993
1623	0.816
1624	0.726
1625	0.803
1626	0.844
1627	1.021
1628	0.78
1629	1.042
1630	1.117
1631	0.696
1632	0.774
1633	1.444
1634	1.311
1635	1.06
1636	1.167
1637	0.978
1638	0.646
1639	0.866
1640	1.144
1641	0.915
1642	0.984
1643	1.13
1644	1.236
1645	0.687
1646	1.07
1647	0.813
1648	0.612
1649	0.774
1650	0.751
1651	0.923
1652	1.044
1653	0.731
1654	0.621
1655	1.08
1656	1.004
1657	0.982
1658	0.579
1659	0.606
1660	1.078
1661	1.42
1662	1.493
1663	1.111
1664	0.635
1665	0.912
1666	0.657
1667	0.664
1668	0.776
1669	0.914
1670	1.113
1671	1.177
1672	1.128
1673	1.092
1674	1.388
1675	1.225
1676	0.62
1677	0.881
1678	1.092
1679	1.058
1680	1.27
1681	1.013
1682	1.358
1683	1.353
1684	1.282
1685	0.344
1686	1.144
1687	1.178
1688	1.707
1689	1.87
1690	1.475
1691	1.084
1692	1.716
1693	1.259
1694	1.192
1695	1.174
1696	0.377
1697	1.168
1698	0.864
1699	1.637
1700	1.022
1701	1.488
1702	0.725
1703	0.966
1704	0.669
1705	0.67
1706	1.37
1707	0.839
1708	1.262
1709	1.092
1710	1.736
1711	0.995
1712	1.138
1713	1.284
1714	0.841
1715	0.496
1716	0.4
1717	0.865
1718	1.103
1719	0.719
1720	1.339
1721	1.226
1722	1.089
1723	0.791
1724	0.734
1725	0.881
1726	0.973
1727	0.686
1728	0.866
1729	0.024
1730	0.679
1731	0.778
1732	0.855
1733	0.253
1734	0.943
1735	0.258
1736	0.99
1737	0.474
1738	1.005
1739	0.621
1740	0.741
1741	1.019
1742	0.936
1743	1.336
1744	1.024
1745	1.02
1746	1.39
1747	1.519
1748	0.357
1749	1.495
1750	0.933
1751	1.331
1752	0.104
1753	0.808
1754	1.105
1755	0.948
1756	0.608
1757	0.727
1758	0.896
1759	1.132
1760	0.858
1761	1.223
1762	1.217
1763	0.419
1764	1.02
1765	0.816
1766	1.27
1767	0.795
1768	0.693
1769	0.6
1770	0.854
1771	0.982
1772	0.863
1773	-0.043
1774	0.715
1775	0.6
1776	0.849
1777	0.669
1778	0.834
1779	0.737
1780	0.528
1781	0.879
1782	0.726
1783	1.363
1784	1.528
1785	0.831
1786	0.83
1787	1.275
1788	1.211
1789	0.955
1790	1.402
1791	1.005
1792	1.13
1793	1.602
1794	1.033
1795	0.782
1796	0.936
1797	0.85
1798	0.87
1799	1.044
1800	1.123
1801	0.546
1802	0.951
1803	1.316
1804	1.192
1805	0.657
1806	0.212
1807	0.935
1808	0.921
1809	0.717
1810	1.011
1811	0.964
1812	0.891
1813	0.987
1814	0.626
1815	1.161
1816	1.301
1817	0.935
1818	0.09
1819	0.79
1820	0.925
1821	0.94
1822	0.139
1823	0.658
1824	0.762
1825	0.904
1826	0.807
1827	0.909
1828	1.179
1829	0.785
1830	0.794
1831	1.098
1832	0.978
1833	1.09
1834	1.136
1835	1.095
1836	0.781
1837	0.944
1838	1.373
1839	1.454
1840	1.377
1841	1.277
1842	0.602
1843	0.686
1844	0.994
1845	0.465
1846	0.82
1847	-0.042
1848	0.821
1849	0.888
1850	0.793
1851	0.197
1852	0.947
1853	0.769
1854	0.971
1855	0.914
1856	1.041
1857	0.844
1858	1.014
1859	0.823
1860	0.717
1861	-0.032
1862	0.723
1863	1.037
1864	0.739
1865	0.748
1866	1.165
1867	1.219
1868	1.414
1869	1.429
1870	1.22
1871	0.81
1872	1.293
1873	0.877
1874	0.929
1875	0.926
1876	0.756
1877	1.404
1878	1.124
1879	0.744
1880	0.091
1881	0.741
1882	1.025
1883	1.013
1884	1.19
1885	1.564
1886	1.139
1887	1.523
1888	1.268
1889	1.189
1890	0.74
1891	1.246
1892	1.308
1893	0.804
1894	1.078
1895	1.441
1896	0.738
1897	1.808
1898	1.554
1899	0.615
1900	0.917
1901	1.085
1902	0.87
1903	1.244
1904	0.223
1905	1.215
1906	0.949
1907	1.711
1908	1.578
1909	1.185
1910	0.826
1911	1.448
1912	1.216
1913	1.202
1914	1.514
1915	1.488
1916	1.537
1917	1.046
1918	1.072
1919	1.486
1920	1.299
1921	1.43
1922	0.725
1923	0.916
1924	0.957
1925	0.685
1926	1.101
1927	0.852
1928	0.594
1929	0.957
1930	0.951
1931	0.706
1932	0.99
1933	0.845
1934	0.861
1935	0.899
1936	1.053
1937	1.391
1938	1.152
1939	0.767
1940	1.179
1941	1.245
1942	1.281
1943	1.138
1944	1.08
1945	0.976
1946	0.458
1947	0.876
1948	0.929
1949	1.276
1950	0.549
1951	0.409
1952	0.915
1953	0.52
1954	0.625
1955	0.371
1956	0.572
1957	0.674
1958	0.75
1959	0.753
1960	0.998
1961	0.945
1962	0.924
1963	0.597
1964	0.821
1965	1.103
1966	0.936
1967	0.515
1968	1.085
1969	1.012
1970	1.129
1971	0.546
1972	0.701
1973	0.77
1974	0.747
1975	1.196
1976	0.776
1977	0.58
1978	1.079
1979	1.329
1980	1.058
1981	1.113
1982	1.075
1983	1.493
1984	1.726
1985	1.766
1986	1.712