ÃÂ¯ÃÂ»ÃÂ¿# northamerica_usa_wy028 - Whiskey Mountain - 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/5211
#
# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: northamerica_usa_wy028 - Whiskey Mountain - 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: Whiskey Mountain
#	Location:
#	Country: United States
#	Northernmost_Latitude: 43.43
#	Southernmost_Latitude: 43.43
#	Easternmost_Longitude: -109.55
#	Westernmost_Longitude: -109.55
#	Elevation: 2696 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_wy028B
#	Earliest_Year: 1459
#	Most_Recent_Year: 2000
#	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":"1.46725013893","T2":"11.5006725559","M1":"0.0254915031186","M2":"0.62932707992"}}
#--------------------
# Species
#	Species_Name: Douglas fir
#	Species_Code: PSME
#--------------------
# 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
1459	1.52
1460	0.413
1461	1.056
1462	1.026
1463	1.182
1464	1.123
1465	1.015
1466	0.434
1467	1.179
1468	0.636
1469	0.332
1470	0.969
1471	0.413
1472	0.664
1473	1.423
1474	0.591
1475	0.88
1476	0.536
1477	0.808
1478	1.389
1479	1.407
1480	2.039
1481	1.021
1482	0.82
1483	0.942
1484	1.956
1485	2.054
1486	1.404
1487	1.381
1488	0.892
1489	0.591
1490	0.771
1491	0.587
1492	0.915
1493	0.961
1494	1.097
1495	0.423
1496	1.327
1497	1.329
1498	1.319
1499	0.426
1500	0.612
1501	0.429
1502	0.394
1503	0.482
1504	0.773
1505	0.952
1506	1.053
1507	1.573
1508	2.438
1509	1.13
1510	0.774
1511	0.676
1512	0.488
1513	0.804
1514	1.354
1515	0.987
1516	1.751
1517	0.652
1518	0.741
1519	1.468
1520	1.179
1521	2.572
1522	1.678
1523	1.855
1524	1.897
1525	2.37
1526	1.58
1527	0.602
1528	0.373
1529	1.44
1530	0.479
1531	0.57
1532	0.276
1533	0.389
1534	0.401
1535	0.485
1536	0.68
1537	1.12
1538	1.499
1539	1.177
1540	1.425
1541	1.493
1542	0.693
1543	0.732
1544	1.069
1545	0.641
1546	0.858
1547	0.398
1548	0.998
1549	1.364
1550	1.2
1551	1.139
1552	1.376
1553	1.504
1554	0.992
1555	1.395
1556	1.012
1557	1.997
1558	2.097
1559	1.455
1560	1.066
1561	1.41
1562	1.318
1563	0.505
1564	1.636
1565	1.264
1566	1.029
1567	0.764
1568	0.722
1569	0.64
1570	0.895
1571	0.826
1572	0.474
1573	0.948
1574	0.914
1575	0.631
1576	0.704
1577	1.316
1578	0.649
1579	0.84
1580	0.66
1581	0.759
1582	0.561
1583	1.159
1584	0.631
1585	0.741
1586	0.681
1587	0.504
1588	0.877
1589	0.578
1590	0.789
1591	0.604
1592	0.81
1593	0.507
1594	0.815
1595	0.579
1596	0.971
1597	0.911
1598	0.352
1599	1.192
1600	0.764
1601	1.17
1602	1.838
1603	1.432
1604	1.608
1605	1.484
1606	1.251
1607	0.541
1608	0.477
1609	1.657
1610	1.191
1611	1.675
1612	0.625
1613	1.877
1614	0.858
1615	1.053
1616	0.592
1617	1.681
1618	1.37
1619	1.992
1620	0.798
1621	1.843
1622	1.511
1623	1.375
1624	1.501
1625	1.981
1626	1.2
1627	1.062
1628	1.533
1629	0.955
1630	0.662
1631	0.539
1632	0.576
1633	1.499
1634	1.426
1635	1.177
1636	0.58
1637	0.162
1638	0.862
1639	0.611
1640	1.181
1641	1.016
1642	0.652
1643	1.138
1644	1.047
1645	0.628
1646	1.283
1647	1.161
1648	0.342
1649	0.925
1650	0.888
1651	1.236
1652	1.021
1653	0.639
1654	0.475
1655	1.118
1656	1.335
1657	0.949
1658	1.026
1659	0.58
1660	0.823
1661	1.534
1662	1.603
1663	1.009
1664	1.212
1665	0.662
1666	0.994
1667	0.658
1668	0.947
1669	0.385
1670	0.346
1671	0.705
1672	1.078
1673	1.354
1674	1.208
1675	0.523
1676	1.506
1677	0.864
1678	0.957
1679	0.308
1680	1.367
1681	0.596
1682	0.604
1683	0.92
1684	1.161
1685	1.172
1686	1.037
1687	1.252
1688	1.102
1689	0.822
1690	0.565
1691	1.096
1692	1.409
1693	0.885
1694	1.231
1695	0.837
1696	0.709
1697	0.869
1698	0.468
1699	0.797
1700	1.147
1701	1.094
1702	1.264
1703	0.347
1704	0.638
1705	0.338
1706	0.445
1707	0.563
1708	0.201
1709	0.268
1710	0.478
1711	0.603
1712	0.638
1713	0.718
1714	0.765
1715	1.019
1716	0.975
1717	0.139
1718	0.535
1719	0.956
1720	0.662
1721	0.679
1722	0.858
1723	1.084
1724	1.447
1725	1.101
1726	1.586
1727	1.1
1728	1.197
1729	1.065
1730	1.591
1731	1.03
1732	0.328
1733	0.959
1734	0.917
1735	0.445
1736	0.976
1737	0.616
1738	0.166
1739	0.606
1740	0.528
1741	0.29
1742	0.669
1743	0.387
1744	0.382
1745	0.447
1746	0.79
1747	0.9
1748	1.086
1749	0.938
1750	0.898
1751	1.271
1752	0.879
1753	1.009
1754	0.888
1755	1.268
1756	1.128
1757	0.999
1758	0.77
1759	0.406
1760	1.005
1761	1.158
1762	1.007
1763	0.808
1764	1.016
1765	1.028
1766	1.263
1767	1.938
1768	1.601
1769	1.36
1770	1.419
1771	1.561
1772	1.778
1773	1.631
1774	1.258
1775	1.411
1776	1.134
1777	1.507
1778	1.547
1779	1.15
1780	1.374
1781	0.504
1782	0.624
1783	1.091
1784	1.37
1785	1.002
1786	0.938
1787	1.324
1788	1.383
1789	1.249
1790	1.105
1791	1.061
1792	1.511
1793	1.413
1794	1.63
1795	0.736
1796	1.244
1797	1.065
1798	0.477
1799	1.503
1800	1.436
1801	0.784
1802	1.223
1803	1.247
1804	1.109
1805	0.798
1806	0.356
1807	0.822
1808	0.983
1809	0.874
1810	1.021
1811	1.257
1812	1.111
1813	1.135
1814	1.161
1815	1.009
1816	1.221
1817	1.305
1818	0.756
1819	0.924
1820	1.096
1821	0.97
1822	0.489
1823	0.678
1824	0.338
1825	0.769
1826	0.798
1827	1.03
1828	1.391
1829	1.278
1830	1.305
1831	0.8
1832	0.819
1833	1.289
1834	0.48
1835	0.686
1836	0.825
1837	1.465
1838	1.503
1839	1.997
1840	0.855
1841	1.25
1842	0.604
1843	1.86
1844	1.525
1845	0.895
1846	0.954
1847	0.964
1848	0.453
1849	1.598
1850	0.466
1851	1.148
1852	1.109
1853	1.406
1854	1.901
1855	0.768
1856	1.208
1857	0.429
1858	1.295
1859	0.625
1860	0.785
1861	0.677
1862	0.796
1863	0.245
1864	1.031
1865	0.239
1866	1.438
1867	1.096
1868	1.3
1869	1.331
1870	1.125
1871	0.585
1872	0.579
1873	1.085
1874	0.795
1875	0.458
1876	0.404
1877	0.512
1878	0.929
1879	0.765
1880	0.109
1881	0.694
1882	0.557
1883	0.447
1884	0.751
1885	0.872
1886	1.057
1887	0.656
1888	0.686
1889	0.689
1890	0.169
1891	0.931
1892	0.916
1893	0.21
1894	0.445
1895	1.036
1896	1.074
1897	0.593
1898	1.189
1899	0.487
1900	1.099
1901	0.662
1902	0.168
1903	0.686
1904	0.828
1905	0.988
1906	1.187
1907	1.74
1908	2.079
1909	1.91
1910	0.769
1911	1.494
1912	1.326
1913	1.712
1914	0.843
1915	1.2
1916	1.805
1917	1.42
1918	1.198
1919	0.18
1920	0.951
1921	1.292
1922	0.737
1923	0.915
1924	1.418
1925	1.578
1926	1.088
1927	0.92
1928	1.889
1929	1.302
1930	0.798
1931	1.843
1932	1.83
1933	1.13
1934	1.029
1935	1.033
1936	0.348
1937	1.288
1938	0.555
1939	0.881
1940	0.273
1941	1.168
1942	1.349
1943	1.242
1944	1.03
1945	1.305
1946	0.8
1947	1.58
1948	1.609
1949	1.117
1950	1.374
1951	1.947
1952	0.559
1953	0.946
1954	0.383
1955	0.06
1956	0.943
1957	1.064
1958	1.079
1959	0.252
1960	0.458
1961	1.099
1962	1.062
1963	1.139
1964	0.744
1965	0.64
1966	0.631
1967	1.143
1968	1.297
1969	0.519
1970	0.8
1971	0.967
1972	0.957
1973	0.689
1974	1.098
1975	1.108
1976	1.376
1977	0.296
1978	1.346
1979	0.993
1980	1.332
1981	1.14
1982	0.431
1983	1.253
1984	1.07
1985	0.483
1986	1.26
1987	1.524
1988	0.271
1989	1.104
1990	0.611
1991	1.436
1992	0.625
1993	1.467
1994	0.609
1995	1.518
1996	0.951
1997	0.909
1998	1.425
1999	1.711
2000	0.241