ÃÂ¯ÃÂ»ÃÂ¿# northamerica_usa_wa091 - Tahoma Creek Trailhead - 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/3195
#
# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: northamerica_usa_wa091 - Tahoma Creek Trailhead - 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: Tahoma Creek Trailhead
#	Location:
#	Country: United States
#	Northernmost_Latitude: 46.8
#	Southernmost_Latitude: 46.8
#	Easternmost_Longitude: -122.88
#	Westernmost_Longitude: -122.88
#	Elevation: 970 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_wa091B
#	Earliest_Year: 1410
#	Most_Recent_Year: 1987
#	Time_Unit: y_ad
#	Core_Length:
#	Notes: {"database":{"database1":"LMR","database2":"Breits"}} {"climateInterpretation":{"basis":"", "climateVariable":"T", "climateVariableDetail":"air", "interpDirection":"positive", "seasonality":"[6, 7, 8]"}}{"VSLite_parameters":{"T1":"5.49693364635","T2":"19.0457003779","M1":"0.0225690397656","M2":"0.312730520889"}}
#--------------------
# 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
1410	1.073
1411	1.036
1412	0.989
1413	1.211
1414	1.161
1415	0.99
1416	0.927
1417	0.846
1418	0.852
1419	0.848
1420	0.957
1421	0.941
1422	0.927
1423	0.973
1424	1.039
1425	0.894
1426	0.999
1427	0.904
1428	0.919
1429	1.018
1430	1.106
1431	0.98
1432	0.871
1433	0.967
1434	1
1435	0.97
1436	0.971
1437	1.064
1438	1.131
1439	1.069
1440	1.151
1441	1.284
1442	1.09
1443	1.518
1444	1.132
1445	0.887
1446	1.049
1447	0.998
1448	0.976
1449	1.087
1450	0.718
1451	0.8
1452	0.884
1453	0.885
1454	0.791
1455	0.84
1456	0.846
1457	0.746
1458	0.841
1459	0.861
1460	0.896
1461	0.797
1462	0.733
1463	0.707
1464	0.744
1465	0.754
1466	0.795
1467	0.765
1468	0.753
1469	0.737
1470	0.795
1471	0.716
1472	0.659
1473	0.737
1474	0.637
1475	0.701
1476	0.751
1477	0.745
1478	0.735
1479	0.883
1480	0.832
1481	0.944
1482	0.971
1483	0.883
1484	0.714
1485	0.693
1486	0.711
1487	0.572
1488	0.938
1489	0.622
1490	0.763
1491	0.844
1492	0.724
1493	0.797
1494	0.798
1495	0.745
1496	0.868
1497	0.745
1498	0.568
1499	0.639
1500	0.916
1501	0.72
1502	0.765
1503	0.738
1504	0.868
1505	0.738
1506	0.878
1507	0.779
1508	0.92
1509	0.733
1510	0.812
1511	0.507
1512	0.6
1513	0.51
1514	0.603
1515	0.638
1516	0.779
1517	0.795
1518	0.821
1519	1.163
1520	1.085
1521	1.271
1522	1.06
1523	1.183
1524	1.235
1525	1.147
1526	1.165
1527	1.112
1528	1.447
1529	1.251
1530	1.444
1531	1.278
1532	1.429
1533	1.369
1534	1.155
1535	1.19
1536	1.359
1537	1.363
1538	1.116
1539	1.385
1540	1.444
1541	1.436
1542	1.479
1543	1.359
1544	1.192
1545	1.595
1546	1.079
1547	1.272
1548	1.202
1549	1.251
1550	1.064
1551	1.198
1552	1.095
1553	1.123
1554	1.222
1555	1.385
1556	1.047
1557	1.391
1558	1.23
1559	1.05
1560	1.229
1561	1.201
1562	1.046
1563	1.145
1564	1.368
1565	1.073
1566	1.604
1567	1.463
1568	1.271
1569	1.217
1570	1.137
1571	1.068
1572	1.182
1573	1.157
1574	1.165
1575	1.104
1576	0.84
1577	1.005
1578	1.133
1579	1.023
1580	0.941
1581	0.741
1582	0.825
1583	0.91
1584	0.779
1585	0.834
1586	0.778
1587	0.774
1588	0.906
1589	0.836
1590	0.88
1591	0.882
1592	0.915
1593	0.801
1594	0.792
1595	0.934
1596	0.945
1597	1.117
1598	1.063
1599	1.129
1600	1.116
1601	1.045
1602	0.941
1603	0.821
1604	0.745
1605	0.734
1606	0.883
1607	0.967
1608	0.948
1609	0.825
1610	0.776
1611	1.029
1612	1.037
1613	0.806
1614	0.819
1615	0.835
1616	0.949
1617	0.737
1618	0.626
1619	0.734
1620	0.729
1621	0.835
1622	0.944
1623	0.715
1624	0.847
1625	0.882
1626	0.916
1627	0.894
1628	0.794
1629	0.949
1630	0.882
1631	0.937
1632	1.042
1633	0.993
1634	1.097
1635	0.83
1636	0.932
1637	0.91
1638	1.024
1639	0.938
1640	1.138
1641	1.005
1642	0.947
1643	1.018
1644	0.937
1645	1.07
1646	1.272
1647	1.128
1648	1.084
1649	0.945
1650	1.063
1651	1.273
1652	1.13
1653	0.804
1654	1.034
1655	1.04
1656	1.288
1657	1.284
1658	1.148
1659	1.208
1660	1.048
1661	1.143
1662	1.206
1663	0.973
1664	1.195
1665	0.965
1666	1.112
1667	0.985
1668	0.893
1669	0.981
1670	0.828
1671	0.837
1672	0.995
1673	1.107
1674	1.065
1675	1.191
1676	0.988
1677	1.095
1678	1.087
1679	1.167
1680	0.843
1681	1.046
1682	1.211
1683	1.073
1684	1.011
1685	1.198
1686	1.116
1687	1.465
1688	1.107
1689	1.105
1690	1.093
1691	1.047
1692	1.195
1693	1.075
1694	0.98
1695	1.146
1696	0.985
1697	1.003
1698	0.961
1699	0.915
1700	1.146
1701	0.889
1702	0.846
1703	0.908
1704	0.801
1705	0.981
1706	1.065
1707	1.185
1708	0.983
1709	0.988
1710	0.99
1711	0.924
1712	0.911
1713	1.014
1714	1.372
1715	1.191
1716	1.112
1717	1.046
1718	0.967
1719	1.135
1720	1.306
1721	1.291
1722	1.414
1723	1.219
1724	1.315
1725	1.084
1726	1.133
1727	1.038
1728	0.872
1729	1.018
1730	0.812
1731	1.023
1732	0.999
1733	1.019
1734	0.917
1735	1.161
1736	0.902
1737	0.894
1738	1.018
1739	0.623
1740	0.595
1741	0.539
1742	0.578
1743	0.577
1744	0.548
1745	0.632
1746	0.539
1747	0.775
1748	0.723
1749	0.684
1750	0.773
1751	0.738
1752	0.775
1753	0.757
1754	0.566
1755	0.704
1756	0.709
1757	0.837
1758	0.689
1759	0.864
1760	0.855
1761	0.941
1762	0.929
1763	0.854
1764	0.845
1765	0.836
1766	0.873
1767	0.85
1768	0.8
1769	0.802
1770	1.107
1771	1.242
1772	1.041
1773	1.363
1774	1.07
1775	0.809
1776	0.724
1777	1.156
1778	1.045
1779	0.868
1780	0.96
1781	0.951
1782	0.625
1783	0.862
1784	0.851
1785	0.973
1786	1.088
1787	0.748
1788	0.934
1789	1.118
1790	0.997
1791	0.859
1792	0.975
1793	1.076
1794	1.09
1795	0.926
1796	0.931
1797	0.848
1798	1.093
1799	0.882
1800	0.823
1801	1.188
1802	0.981
1803	1.014
1804	1.319
1805	1.414
1806	1.248
1807	1.136
1808	1.076
1809	1.116
1810	1.174
1811	1.05
1812	0.959
1813	1.004
1814	1.216
1815	1.096
1816	1.143
1817	1.156
1818	1.095
1819	1.136
1820	1.083
1821	0.795
1822	1.081
1823	0.834
1824	0.783
1825	1.195
1826	1.029
1827	0.809
1828	0.94
1829	1.261
1830	1.017
1831	0.989
1832	0.832
1833	1.167
1834	1.137
1835	1.061
1836	0.869
1837	0.94
1838	1.088
1839	1.5
1840	0.979
1841	0.896
1842	0.848
1843	0.853
1844	0.994
1845	1.113
1846	1.101
1847	0.752
1848	0.948
1849	0.667
1850	0.8
1851	1.105
1852	0.913
1853	0.781
1854	0.839
1855	1.049
1856	0.914
1857	0.87
1858	1.16
1859	1.026
1860	1.31
1861	1.34
1862	1.125
1863	1.37
1864	0.779
1865	0.938
1866	0.983
1867	0.919
1868	1.065
1869	1.035
1870	1.048
1871	0.933
1872	0.944
1873	1.007
1874	0.979
1875	1.009
1876	0.715
1877	0.971
1878	1.012
1879	0.996
1880	0.626
1881	0.771
1882	0.994
1883	0.747
1884	0.769
1885	0.807
1886	0.796
1887	0.749
1888	0.846
1889	0.905
1890	0.813
1891	1.045
1892	1.113
1893	1.129
1894	1.067
1895	0.829
1896	0.918
1897	0.642
1898	1.012
1899	0.901
1900	1.075
1901	1.21
1902	0.974
1903	0.928
1904	1.306
1905	0.995
1906	0.931
1907	0.815
1908	0.932
1909	0.796
1910	0.856
1911	1.011
1912	0.824
1913	0.954
1914	0.962
1915	0.993
1916	0.881
1917	0.896
1918	0.705
1919	0.955
1920	1.132
1921	0.922
1922	0.934
1923	0.77
1924	0.776
1925	0.881
1926	0.769
1927	0.89
1928	0.92
1929	0.859
1930	0.76
1931	0.985
1932	0.86
1933	1.159
1934	1.105
1935	1.309
1936	0.808
1937	0.786
1938	0.979
1939	0.692
1940	0.986
1941	1.121
1942	1.197
1943	1.197
1944	1.306
1945	1.144
1946	0.963
1947	0.902
1948	1.384
1949	0.986
1950	1.135
1951	0.979
1952	0.977
1953	1.02
1954	1
1955	1.172
1956	0.782
1957	0.733
1958	0.961
1959	0.721
1960	0.862
1961	1.016
1962	0.711
1963	0.962
1964	1.211
1965	1.094
1966	0.881
1967	1.001
1968	0.789
1969	0.917
1970	1.283
1971	0.942
1972	0.937
1973	0.995
1974	0.843
1975	0.825
1976	1.025
1977	1.112
1978	0.92
1979	0.953
1980	1.185
1981	1.317
1982	1.173
1983	1.18
1984	1.235
1985	0.806
1986	0.868
1987	0.664