ÃÂ¯ÃÂ»ÃÂ¿# northamerica_usa_wy002 - Wind River Mountains Site D - 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/3486
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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_wy002 - Wind River Mountains Site D - 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.
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# 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: Wind River Mountains Site D
#	Location:
#	Country: United States
#	Northernmost_Latitude: 43.08
#	Southernmost_Latitude: 43.08
#	Easternmost_Longitude: -110.07
#	Westernmost_Longitude: -110.07
#	Elevation: 2500 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_wy002B
#	Earliest_Year: 1492
#	Most_Recent_Year: 1992
#	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":"3.18845420693","T2":"15.2974161607","M1":"0.0227058687125","M2":"0.517344401555"}}
#--------------------
# Species
#	Species_Name: limber pine
#	Species_Code: PIFL
#--------------------
# 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
1492	0.93
1493	0.723
1494	0.715
1495	0.817
1496	1.118
1497	0.915
1498	1.029
1499	1.468
1500	1.028
1501	1.002
1502	0.65
1503	0.77
1504	1.593
1505	0.979
1506	0.944
1507	0.789
1508	1.64
1509	1.408
1510	1.269
1511	0.877
1512	0.859
1513	0.534
1514	1.084
1515	1.194
1516	1.362
1517	0.938
1518	1.447
1519	0.851
1520	0.899
1521	0.833
1522	0.658
1523	1.093
1524	1.146
1525	1.255
1526	0.992
1527	1.1
1528	1.454
1529	0.857
1530	0.749
1531	1.093
1532	0.882
1533	0.891
1534	0.84
1535	1.272
1536	1.398
1537	1.134
1538	1.005
1539	1.252
1540	0.919
1541	0.557
1542	0.936
1543	0.641
1544	0.922
1545	0.693
1546	1.03
1547	0.623
1548	0.965
1549	0.911
1550	1.108
1551	1.164
1552	1.283
1553	1.302
1554	1.25
1555	1.114
1556	0.917
1557	1.245
1558	1.248
1559	1.233
1560	1.548
1561	1.249
1562	1.477
1563	0.87
1564	1.719
1565	1.39
1566	0.84
1567	1.088
1568	1.054
1569	0.843
1570	1.198
1571	0.787
1572	0.923
1573	0.75
1574	0.462
1575	0.725
1576	0.663
1577	0.886
1578	0.689
1579	0.667
1580	0.894
1581	0.654
1582	0.802
1583	1.044
1584	0.547
1585	0.278
1586	0.589
1587	0.81
1588	0.908
1589	0.862
1590	0.953
1591	1.029
1592	0.793
1593	0.71
1594	0.655
1595	0.44
1596	0.78
1597	0.696
1598	0.463
1599	0.66
1600	0.663
1601	0.91
1602	0.814
1603	0.882
1604	0.889
1605	0.923
1606	0.749
1607	0.822
1608	1.031
1609	1.059
1610	1.08
1611	1.206
1612	0.698
1613	0.92
1614	0.89
1615	0.908
1616	1.311
1617	1.546
1618	1.35
1619	0.941
1620	1.526
1621	1.858
1622	2.102
1623	1.817
1624	1.997
1625	1.833
1626	0.742
1627	1.374
1628	1.81
1629	1.53
1630	1.089
1631	0.775
1632	0.164
1633	1.276
1634	1.615
1635	1.055
1636	1.317
1637	0.961
1638	1.378
1639	0.756
1640	1.386
1641	1.441
1642	1.332
1643	1.466
1644	1.502
1645	0.839
1646	0.572
1647	1.101
1648	0.975
1649	0.701
1650	1.106
1651	1.224
1652	0.93
1653	0.955
1654	1.038
1655	1.116
1656	1.138
1657	0.826
1658	0.773
1659	0.591
1660	0.956
1661	0.937
1662	0.873
1663	0.834
1664	1.048
1665	0.973
1666	0.842
1667	0.682
1668	1
1669	0.605
1670	0.779
1671	0.59
1672	0.777
1673	1.049
1674	1.004
1675	0.704
1676	0.97
1677	0.572
1678	0.575
1679	0.47
1680	0.915
1681	0.615
1682	0.756
1683	0.907
1684	0.951
1685	1.092
1686	0.848
1687	1.077
1688	0.906
1689	1.12
1690	0.957
1691	0.905
1692	1.122
1693	1.116
1694	1.197
1695	0.729
1696	0.877
1697	1.08
1698	0.79
1699	0.849
1700	0.924
1701	1.073
1702	1.319
1703	0.747
1704	0.567
1705	0.907
1706	0.929
1707	0.829
1708	0.543
1709	0.568
1710	0.712
1711	0.576
1712	0.472
1713	0.533
1714	0.772
1715	0.783
1716	0.764
1717	0.422
1718	0.589
1719	0.831
1720	1.002
1721	0.381
1722	0.619
1723	0.84
1724	0.731
1725	0.708
1726	0.986
1727	1.071
1728	0.94
1729	0.655
1730	0.923
1731	1.023
1732	0.888
1733	1.069
1734	1.216
1735	0.76
1736	1.031
1737	0.78
1738	0.785
1739	0.808
1740	0.912
1741	0.915
1742	0.755
1743	0.894
1744	0.666
1745	0.935
1746	1.133
1747	1.096
1748	1.005
1749	0.983
1750	1.212
1751	1.236
1752	0.998
1753	1.032
1754	0.922
1755	1.258
1756	0.77
1757	1.135
1758	0.918
1759	0.809
1760	1.161
1761	1.214
1762	0.921
1763	1.22
1764	1.375
1765	1.063
1766	1.268
1767	1.397
1768	1.337
1769	1.237
1770	1.002
1771	1.116
1772	1.129
1773	0.981
1774	0.815
1775	0.84
1776	1.052
1777	1.21
1778	1
1779	0.905
1780	1.094
1781	0.79
1782	0.733
1783	0.842
1784	0.893
1785	0.867
1786	1.02
1787	0.953
1788	0.93
1789	0.959
1790	0.971
1791	1.167
1792	1.31
1793	1.077
1794	1.043
1795	0.599
1796	1.075
1797	0.887
1798	1.102
1799	1.026
1800	1.172
1801	1.105
1802	1.047
1803	1.346
1804	0.848
1805	1.04
1806	0.749
1807	0.741
1808	0.818
1809	0.754
1810	0.906
1811	1.216
1812	1.029
1813	1.085
1814	0.547
1815	1.033
1816	1.092
1817	0.973
1818	0.752
1819	0.86
1820	1.153
1821	1.117
1822	0.795
1823	1.014
1824	0.812
1825	0.777
1826	0.815
1827	0.903
1828	0.981
1829	0.9
1830	0.839
1831	0.801
1832	0.688
1833	0.983
1834	1.096
1835	0.874
1836	0.921
1837	1.119
1838	0.977
1839	1.089
1840	1.076
1841	1.173
1842	1.023
1843	1.213
1844	0.974
1845	0.959
1846	0.501
1847	0.828
1848	0.753
1849	0.807
1850	0.875
1851	0.919
1852	0.89
1853	1.016
1854	1.239
1855	0.943
1856	0.628
1857	0.852
1858	0.884
1859	0.806
1860	0.817
1861	0.898
1862	0.936
1863	0.802
1864	0.77
1865	0.823
1866	0.965
1867	0.885
1868	1.22
1869	1.151
1870	1.008
1871	0.958
1872	0.725
1873	0.97
1874	1.007
1875	0.968
1876	0.859
1877	0.909
1878	0.873
1879	0.886
1880	0.794
1881	1.013
1882	0.885
1883	0.716
1884	0.918
1885	1.052
1886	0.922
1887	0.913
1888	1.101
1889	0.784
1890	0.992
1891	1.031
1892	0.912
1893	0.714
1894	0.854
1895	0.939
1896	0.81
1897	0.806
1898	0.921
1899	0.777
1900	1.018
1901	1.079
1902	0.721
1903	0.797
1904	1.044
1905	1.141
1906	0.911
1907	1.297
1908	1.434
1909	1.202
1910	1.392
1911	1.229
1912	1.282
1913	1.474
1914	1.876
1915	1.469
1916	1.478
1917	1.35
1918	1.347
1919	1.057
1920	1.186
1921	1.024
1922	1.136
1923	1.275
1924	0.826
1925	1.113
1926	1.034
1927	1.086
1928	1.227
1929	1.038
1930	1.001
1931	1.219
1932	1.168
1933	0.971
1934	0.778
1935	0.988
1936	0.839
1937	1.115
1938	1.224
1939	1.132
1940	1.197
1941	1.245
1942	1.034
1943	1.126
1944	1.194
1945	0.916
1946	1.063
1947	1.12
1948	1.044
1949	1.042
1950	0.94
1951	1.174
1952	1.137
1953	0.794
1954	1.066
1955	0.861
1956	0.756
1957	0.999
1958	0.871
1959	0.71
1960	0.734
1961	0.592
1962	0.804
1963	1.096
1964	1.098
1965	1.042
1966	1.148
1967	1.233
1968	1.063
1969	1.164
1970	0.981
1971	0.707
1972	0.829
1973	0.914
1974	0.991
1975	0.94
1976	0.878
1977	0.93
1978	0.923
1979	0.819
1980	0.9
1981	0.816
1982	0.877
1983	0.956
1984	0.983
1985	1.019
1986	1.116
1987	1.028
1988	0.866
1989	0.907
1990	0.839
1991	0.698
1992	0.804