ÃÂ¯ÃÂ»ÃÂ¿# northamerica_usa_wy026 - Fossil Butte National Monument - 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/2974
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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_wy026 - Fossil Butte National Monument - 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: Fossil Butte National Monument
#	Location:
#	Country: United States
#	Northernmost_Latitude: 41.87
#	Southernmost_Latitude: 41.87
#	Easternmost_Longitude: -110.8
#	Westernmost_Longitude: -110.8
#	Elevation: 2225 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_wy026B
#	Earliest_Year: 1480
#	Most_Recent_Year: 1998
#	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":"3.74778620315","T2":"15.9372770955","M1":"0.0226620461838","M2":"0.476315520342"}}
#--------------------
# 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
1480	0.821
1481	0.816
1482	0.71
1483	0.744
1484	0.876
1485	0.813
1486	1.239
1487	1.137
1488	1.209
1489	0.875
1490	0.907
1491	1.06
1492	1.346
1493	2.347
1494	1.829
1495	1.521
1496	1.374
1497	1.255
1498	1.381
1499	0.964
1500	1.085
1501	1
1502	0.871
1503	1.05
1504	1.343
1505	0.863
1506	1.08
1507	1.045
1508	1.114
1509	1.047
1510	1.028
1511	0.987
1512	0.985
1513	0.919
1514	1.286
1515	0.945
1516	0.684
1517	1.05
1518	0.773
1519	0.803
1520	0.618
1521	0.807
1522	0.872
1523	1.145
1524	1.287
1525	1.266
1526	1.236
1527	1.283
1528	0.664
1529	0.935
1530	0.852
1531	1.026
1532	1.015
1533	0.81
1534	0.783
1535	1.243
1536	1.116
1537	1.152
1538	1.167
1539	1.125
1540	0.795
1541	1.134
1542	0.85
1543	0.736
1544	0.99
1545	0.827
1546	1.06
1547	0.805
1548	0.588
1549	0.881
1550	0.99
1551	1.297
1552	0.736
1553	1.695
1554	1.125
1555	1.008
1556	0.863
1557	1.16
1558	0.899
1559	1.113
1560	1.515
1561	1.063
1562	1.324
1563	1.247
1564	1.232
1565	1.087
1566	1.076
1567	1.331
1568	1.3
1569	1.043
1570	1.323
1571	1.426
1572	1.463
1573	1.251
1574	1.019
1575	1.167
1576	0.847
1577	1.357
1578	1.06
1579	0.878
1580	0.48
1581	1.04
1582	0.825
1583	1.241
1584	0.632
1585	0.687
1586	1.184
1587	0.863
1588	0.898
1589	1.215
1590	0.866
1591	1.009
1592	0.732
1593	0.757
1594	0.912
1595	0.977
1596	1.23
1597	1.095
1598	0.735
1599	1.202
1600	0.858
1601	1.29
1602	1.016
1603	0.944
1604	1.104
1605	0.86
1606	1.21
1607	1.054
1608	1.325
1609	1.305
1610	0.852
1611	1.289
1612	1.294
1613	1.267
1614	1.011
1615	1.252
1616	1.652
1617	1.705
1618	1.429
1619	0.971
1620	1.471
1621	1.432
1622	1.875
1623	1.67
1624	1.32
1625	1.241
1626	1.008
1627	0.823
1628	1.271
1629	0.936
1630	0.82
1631	0.904
1632	0.332
1633	1.093
1634	0.888
1635	0.919
1636	0.996
1637	0.72
1638	0.93
1639	0.765
1640	1.149
1641	0.904
1642	1.137
1643	0.679
1644	1.017
1645	0.579
1646	0.524
1647	0.746
1648	0.901
1649	0.809
1650	0.883
1651	0.792
1652	0.858
1653	0.706
1654	0.805
1655	1.082
1656	0.845
1657	0.882
1658	0.647
1659	0.868
1660	0.591
1661	0.747
1662	0.67
1663	0.773
1664	0.71
1665	0.792
1666	0.774
1667	0.374
1668	0.651
1669	0.743
1670	1.02
1671	0.843
1672	0.987
1673	1.237
1674	1.115
1675	0.739
1676	1.277
1677	0.903
1678	0.955
1679	0.647
1680	1.256
1681	0.716
1682	1.005
1683	1.184
1684	0.918
1685	0.866
1686	0.738
1687	1.108
1688	0.945
1689	0.873
1690	0.729
1691	0.943
1692	1.079
1693	1.04
1694	1.085
1695	1.023
1696	0.908
1697	1.011
1698	1.047
1699	1.146
1700	1.095
1701	1.258
1702	1.384
1703	1.296
1704	0.996
1705	1.017
1706	0.775
1707	0.511
1708	0.667
1709	0.602
1710	0.748
1711	0.692
1712	0.795
1713	0.804
1714	0.896
1715	0.928
1716	0.989
1717	0.636
1718	0.853
1719	1.131
1720	1.352
1721	0.885
1722	0.833
1723	0.966
1724	0.909
1725	0.86
1726	1.136
1727	1.284
1728	1.259
1729	1.069
1730	1.064
1731	1.197
1732	1.224
1733	1.666
1734	1.471
1735	0.815
1736	1.113
1737	1.038
1738	0.992
1739	1.02
1740	1.255
1741	1.207
1742	0.961
1743	1.035
1744	0.712
1745	0.708
1746	0.956
1747	0.955
1748	1.437
1749	1.4
1750	1.479
1751	1.626
1752	1.361
1753	1.289
1754	1.102
1755	1.263
1756	0.738
1757	1.082
1758	0.868
1759	0.774
1760	0.781
1761	1.227
1762	0.771
1763	0.901
1764	1.003
1765	0.708
1766	1.226
1767	1.304
1768	1.13
1769	1.283
1770	1.035
1771	1.271
1772	1.074
1773	0.958
1774	0.871
1775	1.001
1776	0.853
1777	0.785
1778	0.438
1779	0.891
1780	0.914
1781	0.908
1782	0.658
1783	0.666
1784	0.987
1785	0.86
1786	1.089
1787	1.117
1788	0.774
1789	1.074
1790	0.939
1791	0.807
1792	0.87
1793	0.758
1794	0.73
1795	0.222
1796	0.633
1797	0.697
1798	0.653
1799	0.85
1800	0.524
1801	0.66
1802	0.998
1803	1.415
1804	1.257
1805	1.232
1806	0.747
1807	0.735
1808	0.654
1809	0.356
1810	0.71
1811	0.85
1812	1.005
1813	0.882
1814	0.721
1815	0.938
1816	0.726
1817	0.859
1818	0.706
1819	0.808
1820	0.862
1821	1.016
1822	0.835
1823	0.915
1824	0.732
1825	0.809
1826	0.967
1827	0.905
1828	1.013
1829	0.989
1830	1.079
1831	0.92
1832	1.026
1833	1.208
1834	1.092
1835	1.098
1836	0.749
1837	0.963
1838	1.016
1839	1.209
1840	0.867
1841	1.272
1842	0.56
1843	1.094
1844	0.881
1845	0.61
1846	0.552
1847	0.774
1848	0.831
1849	0.913
1850	1.05
1851	0.808
1852	0.898
1853	1.029
1854	1.145
1855	0.813
1856	0.713
1857	0.508
1858	0.685
1859	0.548
1860	0.573
1861	0.489
1862	0.906
1863	0.719
1864	0.376
1865	0.588
1866	0.944
1867	0.714
1868	1.215
1869	1.303
1870	1.154
1871	0.749
1872	1.002
1873	0.958
1874	1.102
1875	1.106
1876	1.107
1877	0.983
1878	1.016
1879	0.719
1880	0.859
1881	0.865
1882	0.754
1883	0.844
1884	0.979
1885	0.966
1886	0.754
1887	0.429
1888	0.639
1889	0.584
1890	0.771
1891	0.861
1892	0.814
1893	0.742
1894	0.86
1895	0.909
1896	0.68
1897	0.71
1898	0.907
1899	0.702
1900	0.826
1901	0.861
1902	0.777
1903	0.973
1904	0.892
1905	1.119
1906	1.161
1907	1.496
1908	1.292
1909	1.296
1910	1.367
1911	1.334
1912	1.168
1913	1.276
1914	1.399
1915	1.59
1916	1.616
1917	1.379
1918	1.119
1919	1.067
1920	0.893
1921	1.072
1922	1.097
1923	1.09
1924	1.12
1925	0.944
1926	0.793
1927	0.94
1928	0.986
1929	1.067
1930	1.359
1931	1.009
1932	1.334
1933	0.925
1934	0.737
1935	0.936
1936	0.732
1937	1.216
1938	1.078
1939	1.106
1940	1.02
1941	1.162
1942	0.937
1943	1.035
1944	1.282
1945	1.057
1946	1.056
1947	1.413
1948	1.108
1949	1.593
1950	1.285
1951	1.372
1952	1.238
1953	1.011
1954	1.129
1955	1.018
1956	0.725
1957	0.949
1958	0.851
1959	0.774
1960	1.016
1961	0.6
1962	0.833
1963	1.033
1964	0.983
1965	0.862
1966	1.093
1967	1.125
1968	1.058
1969	0.983
1970	1.042
1971	1.155
1972	1.13
1973	1.118
1974	0.961
1975	0.8
1976	0.974
1977	0.531
1978	1.168
1979	1.102
1980	1.042
1981	1.003
1982	0.95
1983	1.043
1984	1.582
1985	1.716
1986	1.489
1987	1.235
1988	1.118
1989	1.108
1990	0.961
1991	0.712
1992	0.962
1993	1.206
1994	0.963
1995	1.342
1996	1.262
1997	1.112
1998	1.442