ÃÂ¯ÃÂ»ÃÂ¿# northamerica_usa_ut018 - La Sal Mountains Site A - 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/3482
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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_ut018 - La Sal Mountains Site A - 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: La Sal Mountains Site A
#	Location:
#	Country: United States
#	Northernmost_Latitude: 38.5
#	Southernmost_Latitude: 38.5
#	Easternmost_Longitude: -109.25
#	Westernmost_Longitude: -109.25
#	Elevation: 2323 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_ut018B
#	Earliest_Year: 1489
#	Most_Recent_Year: 1972
#	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":"4.62945635664","T2":"16.0253365136","M1":"0.0230020699931","M2":"0.459576252961"}}
#--------------------
# Species
#	Species_Name: pinyon pine
#	Species_Code: PIED
#--------------------
# Chronology:
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#
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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
1489	1.1
1490	1.231
1491	1.672
1492	1.194
1493	1.008
1494	0.996
1495	0.547
1496	0.748
1497	0.887
1498	0.967
1499	0.603
1500	0.373
1501	0.633
1502	1.154
1503	0.996
1504	1.123
1505	0.813
1506	0.593
1507	1.242
1508	1.263
1509	1.45
1510	0.866
1511	1.309
1512	0.888
1513	1.047
1514	1.027
1515	0.655
1516	0.657
1517	0.754
1518	0.601
1519	0.844
1520	0.68
1521	0.9
1522	0.45
1523	0.683
1524	0.584
1525	0.839
1526	1.015
1527	1.181
1528	1.138
1529	1.181
1530	1.222
1531	1.05
1532	0.398
1533	1.003
1534	1.327
1535	1.153
1536	1.918
1537	1.722
1538	1.202
1539	1.578
1540	2.044
1541	1.677
1542	1.009
1543	1.456
1544	1.389
1545	1.093
1546	1.529
1547	0.936
1548	1.314
1549	1.568
1550	1.522
1551	1.089
1552	0.858
1553	0.939
1554	0.937
1555	0.96
1556	0.773
1557	0.948
1558	0.73
1559	1.042
1560	0.803
1561	0.58
1562	0.568
1563	0.828
1564	0.723
1565	1.409
1566	1.018
1567	0.899
1568	0.968
1569	1.149
1570	0.789
1571	0.884
1572	0.914
1573	1.037
1574	0.589
1575	0.922
1576	0.759
1577	1.054
1578	1.094
1579	0.81
1580	0.773
1581	0.842
1582	0.79
1583	0.71
1584	0.389
1585	0.604
1586	0.663
1587	0.763
1588	0.998
1589	0.906
1590	0.539
1591	0.899
1592	0.806
1593	1.059
1594	1.329
1595	1.349
1596	1.226
1597	0.893
1598	0.575
1599	1.03
1600	0.548
1601	0.894
1602	1.155
1603	1.098
1604	1.263
1605	1.305
1606	1.17
1607	1.179
1608	1.011
1609	1.181
1610	1.453
1611	1.071
1612	0.969
1613	1.425
1614	1.361
1615	1.397
1616	1.446
1617	1.611
1618	1.68
1619	1.474
1620	1.69
1621	1.721
1622	1.25
1623	0.834
1624	0.608
1625	0.897
1626	0.607
1627	0.929
1628	0.921
1629	0.95
1630	0.82
1631	0.403
1632	0.353
1633	1.223
1634	1.026
1635	1.167
1636	0.912
1637	0.771
1638	0.688
1639	0.891
1640	1.059
1641	1.015
1642	1.097
1643	0.991
1644	1.197
1645	0.688
1646	0.704
1647	1.171
1648	0.747
1649	1.115
1650	1.256
1651	1.17
1652	0.744
1653	0.675
1654	0.221
1655	1.13
1656	1.111
1657	1.183
1658	0.954
1659	0.733
1660	1.055
1661	0.879
1662	1.26
1663	0.931
1664	0.657
1665	0.676
1666	1.08
1667	0.748
1668	0.87
1669	1.12
1670	0.503
1671	0.582
1672	1.106
1673	0.964
1674	1.056
1675	0.815
1676	0.655
1677	1.1
1678	1.154
1679	0.775
1680	1.363
1681	1.278
1682	0.843
1683	1.192
1684	0.507
1685	0.115
1686	0.368
1687	0.928
1688	1.113
1689	1.09
1690	0.836
1691	0.947
1692	0.932
1693	1.367
1694	0.93
1695	1.195
1696	0.776
1697	1.12
1698	0.832
1699	0.917
1700	0.783
1701	1.305
1702	0.847
1703	0.764
1704	0.726
1705	1.158
1706	0.946
1707	0.771
1708	0.605
1709	1.292
1710	0.949
1711	1.034
1712	0.974
1713	0.995
1714	0.538
1715	1.153
1716	1.025
1717	0.536
1718	1.386
1719	1.163
1720	1.714
1721	0.992
1722	0.457
1723	1.299
1724	1.243
1725	1.249
1726	1.677
1727	1.19
1728	0.659
1729	-0.041
1730	0.488
1731	1.033
1732	0.73
1733	0.332
1734	1.323
1735	0.326
1736	1.138
1737	0.965
1738	1.382
1739	0.819
1740	0.596
1741	1.018
1742	0.717
1743	0.782
1744	0.581
1745	0.6
1746	1.103
1747	1.099
1748	0.706
1749	0.972
1750	0.608
1751	0.822
1752	0.617
1753	1.183
1754	0.94
1755	0.469
1756	0.441
1757	0.767
1758	1.041
1759	1.092
1760	1.131
1761	1.226
1762	1.116
1763	1.047
1764	1.529
1765	0.796
1766	0.796
1767	0.908
1768	1.218
1769	1.166
1770	1.621
1771	1.65
1772	0.942
1773	1.054
1774	0.705
1775	0.793
1776	0.893
1777	1.054
1778	0.224
1779	1.041
1780	0.942
1781	1.018
1782	0.812
1783	0.863
1784	1.234
1785	1.025
1786	0.466
1787	1.101
1788	0.899
1789	0.232
1790	1.008
1791	1.22
1792	1.034
1793	1.085
1794	1.068
1795	0.807
1796	1.264
1797	1.303
1798	0.504
1799	1.125
1800	1.09
1801	0.706
1802	0.889
1803	0.65
1804	0.4
1805	0.775
1806	-0.041
1807	1.348
1808	1.069
1809	0.856
1810	0.692
1811	1.419
1812	1.04
1813	0.56
1814	0.616
1815	1.221
1816	1.414
1817	1.107
1818	1.167
1819	0.924
1820	0.805
1821	1.005
1822	0.758
1823	0.593
1824	0.362
1825	1.014
1826	1.249
1827	1.056
1828	1.444
1829	0.856
1830	1.051
1831	0.823
1832	1.017
1833	0.855
1834	0.676
1835	0.993
1836	1.11
1837	1.498
1838	1.264
1839	1.376
1840	1.358
1841	1.209
1842	1.278
1843	1.3
1844	1.15
1845	0.704
1846	1.069
1847	0.331
1848	0.86
1849	1.355
1850	1.132
1851	0.27
1852	0.865
1853	0.766
1854	0.811
1855	0.734
1856	1.007
1857	1.143
1858	1.012
1859	0.861
1860	0.769
1861	0.194
1862	1.207
1863	0.85
1864	0.433
1865	1.051
1866	1.476
1867	1.313
1868	1.512
1869	1.253
1870	0.831
1871	0.414
1872	0.823
1873	0.687
1874	0.688
1875	0.663
1876	0.803
1877	0.909
1878	0.821
1879	0.214
1880	0.754
1881	0.726
1882	0.315
1883	0.725
1884	1.003
1885	1.085
1886	0.901
1887	0.606
1888	1.007
1889	0.812
1890	0.829
1891	0.938
1892	1.184
1893	0.995
1894	0.723
1895	0.993
1896	0.341
1897	1.094
1898	1.198
1899	0.48
1900	0.287
1901	1
1902	0.164
1903	1.137
1904	0.278
1905	1.271
1906	1.44
1907	1.497
1908	1.253
1909	1.597
1910	1.456
1911	1.381
1912	1.322
1913	1.531
1914	1.632
1915	1.437
1916	1.502
1917	1.511
1918	1.141
1919	1.071
1920	1.43
1921	1.363
1922	1.225
1923	1.187
1924	1.049
1925	1.238
1926	1.271
1927	1.348
1928	1.38
1929	1.769
1930	1.419
1931	1.01
1932	1.577
1933	1.645
1934	0.61
1935	0.931
1936	0.76
1937	1.101
1938	1.185
1939	1.129
1940	1.232
1941	1.175
1942	1.527
1943	1.289
1944	1.196
1945	1.094
1946	0.608
1947	1.217
1948	1.523
1949	1.919
1950	1.967
1951	1.008
1952	1.834
1953	1.608
1954	0.911
1955	1.196
1956	0.387
1957	1.314
1958	1.234
1959	0.657
1960	1.242
1961	0.75
1962	1.035
1963	0.695
1964	0.773
1965	0.955
1966	1.15
1967	0.403
1968	0.981
1969	1.203
1970	0.961
1971	0.486
1972	0.647