ÃÂ¯ÃÂ»ÃÂ¿# northamerica_usa_wa051 - Oakes Peak - 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/3326
#
# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: northamerica_usa_wa051 - Oakes Peak - 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: Oakes Peak
#	Location:
#	Country: United States
#	Northernmost_Latitude: 48.63
#	Southernmost_Latitude: 48.63
#	Easternmost_Longitude: -121.37
#	Westernmost_Longitude: -121.37
#	Elevation: 1140 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_wa051B
#	Earliest_Year: 1401
#	Most_Recent_Year: 1980
#	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":"4.85921962986","T2":"16.8910572491","M1":"0.0223011152882","M2":"0.398587788539"}}
#--------------------
# Species
#	Species_Name: mountain hemlock
#	Species_Code: TSME
#--------------------
# 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
1401	0.669
1402	0.919
1403	1.107
1404	1.214
1405	1.188
1406	1.028
1407	0.805
1408	0.788
1409	0.932
1410	1.004
1411	1.274
1412	1.383
1413	0.988
1414	0.971
1415	1.125
1416	1.333
1417	1.298
1418	1.1
1419	1.019
1420	1.464
1421	1.265
1422	1.203
1423	1.231
1424	1.332
1425	1.196
1426	1.224
1427	1.234
1428	1.299
1429	1.74
1430	1.109
1431	1.21
1432	1.083
1433	1.138
1434	1.314
1435	1.048
1436	0.956
1437	1.123
1438	1.133
1439	1.136
1440	1.093
1441	1.237
1442	0.964
1443	1.028
1444	0.933
1445	1.046
1446	1.229
1447	0.946
1448	0.597
1449	1.203
1450	1.213
1451	0.921
1452	0.907
1453	1.029
1454	0.789
1455	1.045
1456	0.93
1457	0.912
1458	0.765
1459	0.594
1460	0.955
1461	0.847
1462	0.88
1463	0.918
1464	0.655
1465	0.816
1466	0.786
1467	0.684
1468	0.876
1469	0.788
1470	0.802
1471	0.86
1472	0.795
1473	0.828
1474	0.773
1475	0.828
1476	0.809
1477	0.875
1478	0.914
1479	0.781
1480	0.999
1481	0.819
1482	0.82
1483	0.752
1484	0.635
1485	0.885
1486	0.715
1487	0.824
1488	0.732
1489	0.763
1490	0.85
1491	1.074
1492	0.887
1493	0.756
1494	0.674
1495	0.596
1496	0.851
1497	0.819
1498	0.981
1499	0.912
1500	0.814
1501	0.776
1502	1.018
1503	0.831
1504	0.928
1505	0.792
1506	0.981
1507	0.962
1508	0.832
1509	0.641
1510	0.735
1511	0.867
1512	0.97
1513	0.9
1514	0.78
1515	0.856
1516	0.988
1517	0.876
1518	0.949
1519	0.813
1520	0.798
1521	0.79
1522	0.816
1523	0.737
1524	0.74
1525	0.812
1526	0.926
1527	0.851
1528	1.001
1529	0.831
1530	1.047
1531	1.046
1532	1.056
1533	0.921
1534	0.769
1535	0.899
1536	1.087
1537	1.086
1538	1.083
1539	1.012
1540	0.941
1541	0.986
1542	0.959
1543	0.999
1544	0.873
1545	1.032
1546	0.967
1547	1.032
1548	1.149
1549	1.009
1550	1.037
1551	1.065
1552	1.014
1553	1.046
1554	0.837
1555	0.71
1556	0.987
1557	1.108
1558	0.983
1559	0.857
1560	1.043
1561	0.897
1562	0.957
1563	0.827
1564	0.754
1565	0.825
1566	0.847
1567	0.897
1568	0.919
1569	0.871
1570	1.054
1571	0.998
1572	0.895
1573	1.036
1574	0.959
1575	0.832
1576	0.913
1577	0.862
1578	0.977
1579	0.915
1580	0.963
1581	0.846
1582	1.056
1583	1.047
1584	0.878
1585	0.79
1586	0.789
1587	0.72
1588	0.862
1589	0.827
1590	0.896
1591	1.009
1592	0.78
1593	1.005
1594	0.712
1595	0.786
1596	0.824
1597	1.061
1598	1.127
1599	0.981
1600	0.925
1601	0.659
1602	0.919
1603	1.034
1604	1.133
1605	0.829
1606	0.877
1607	1.005
1608	0.817
1609	0.818
1610	0.916
1611	0.85
1612	0.788
1613	0.834
1614	1.088
1615	0.996
1616	0.957
1617	0.867
1618	0.916
1619	0.985
1620	0.882
1621	0.843
1622	0.98
1623	0.951
1624	0.846
1625	0.834
1626	0.782
1627	0.999
1628	0.862
1629	1.018
1630	1.147
1631	0.84
1632	0.891
1633	1.047
1634	1.069
1635	0.963
1636	0.711
1637	0.711
1638	0.892
1639	0.939
1640	0.89
1641	0.722
1642	1.294
1643	0.927
1644	1.064
1645	1.282
1646	1.196
1647	1.024
1648	0.852
1649	0.904
1650	0.989
1651	1.236
1652	1.123
1653	0.919
1654	0.95
1655	1.055
1656	1.033
1657	1.03
1658	0.997
1659	1.035
1660	1.033
1661	1.127
1662	0.92
1663	0.938
1664	0.881
1665	1.003
1666	1.023
1667	1.029
1668	0.861
1669	1.144
1670	0.879
1671	0.9
1672	0.946
1673	1.202
1674	1.153
1675	0.943
1676	0.951
1677	1.11
1678	1.028
1679	1.15
1680	0.846
1681	1.035
1682	1.051
1683	0.825
1684	0.754
1685	0.849
1686	0.956
1687	1.173
1688	1.08
1689	1.023
1690	1.105
1691	1.085
1692	1.153
1693	1.163
1694	1.063
1695	1.117
1696	0.796
1697	0.858
1698	0.738
1699	0.781
1700	0.905
1701	0.671
1702	0.827
1703	0.744
1704	0.993
1705	1.122
1706	1.059
1707	1.009
1708	1.221
1709	0.949
1710	1.097
1711	0.925
1712	1.185
1713	1.273
1714	0.957
1715	0.559
1716	1.18
1717	1.158
1718	1.046
1719	1.14
1720	1.143
1721	1.392
1722	1.268
1723	1.446
1724	1.075
1725	0.972
1726	1.165
1727	0.976
1728	1.212
1729	1.181
1730	0.966
1731	0.98
1732	1.026
1733	1.122
1734	1.158
1735	1.129
1736	1.35
1737	1.005
1738	1.064
1739	1.253
1740	1.265
1741	1.236
1742	1.016
1743	1.144
1744	0.9
1745	0.972
1746	0.979
1747	1.275
1748	0.938
1749	1.126
1750	1.04
1751	1.084
1752	0.855
1753	1.009
1754	0.858
1755	1.029
1756	1.509
1757	1.148
1758	1.1
1759	1.182
1760	0.966
1761	1.116
1762	0.981
1763	1.127
1764	1.124
1765	1.176
1766	1.203
1767	1.28
1768	1.276
1769	1.309
1770	1.177
1771	1.055
1772	1.101
1773	1.173
1774	1.031
1775	0.756
1776	1.263
1777	1.137
1778	1.109
1779	1.115
1780	1.302
1781	0.871
1782	0.816
1783	1.184
1784	0.971
1785	0.956
1786	1.031
1787	0.884
1788	1.11
1789	1.048
1790	1.08
1791	1.282
1792	1.777
1793	1.405
1794	1.464
1795	1.455
1796	1.345
1797	0.936
1798	1.344
1799	1.129
1800	0.976
1801	0.84
1802	1.114
1803	1.192
1804	1.294
1805	1.306
1806	0.878
1807	0.945
1808	0.721
1809	1.065
1810	0.557
1811	0.915
1812	1.038
1813	0.873
1814	0.816
1815	0.903
1816	1.282
1817	1.192
1818	0.969
1819	0.661
1820	0.674
1821	0.863
1822	0.921
1823	0.843
1824	0.753
1825	0.931
1826	0.636
1827	0.702
1828	0.935
1829	1.083
1830	0.816
1831	0.971
1832	0.796
1833	1.228
1834	1.229
1835	0.811
1836	0.83
1837	1.082
1838	0.957
1839	1.081
1840	0.828
1841	0.871
1842	1.11
1843	1.134
1844	1.016
1845	0.9
1846	1.127
1847	0.957
1848	0.926
1849	0.476
1850	0.713
1851	0.858
1852	0.78
1853	0.893
1854	1.163
1855	1.29
1856	0.79
1857	1.057
1858	0.904
1859	0.803
1860	0.813
1861	0.604
1862	0.563
1863	1.032
1864	1.081
1865	0.924
1866	0.657
1867	0.796
1868	1.082
1869	1.263
1870	0.88
1871	0.807
1872	0.969
1873	1.048
1874	1.112
1875	0.863
1876	0.61
1877	0.628
1878	0.644
1879	0.747
1880	0.609
1881	0.969
1882	0.817
1883	0.973
1884	1.083
1885	1.257
1886	1.1
1887	0.813
1888	0.916
1889	1.053
1890	0.826
1891	0.86
1892	0.886
1893	0.805
1894	0.765
1895	1.052
1896	0.835
1897	0.77
1898	0.932
1899	0.59
1900	0.95
1901	0.99
1902	0.951
1903	1.003
1904	1.256
1905	1.222
1906	0.932
1907	0.72
1908	0.594
1909	0.623
1910	1.047
1911	0.861
1912	0.831
1913	0.84
1914	1.148
1915	0.936
1916	0.756
1917	0.835
1918	0.863
1919	0.814
1920	0.88
1921	0.651
1922	0.945
1923	0.911
1924	1.165
1925	0.94
1926	1.014
1927	0.632
1928	0.395
1929	0.33
1930	0.357
1931	0.241
1932	0.319
1933	0.662
1934	1.013
1935	1.048
1936	0.848
1937	0.865
1938	0.768
1939	0.791
1940	0.846
1941	0.944
1942	0.64
1943	0.784
1944	1.096
1945	0.935
1946	0.818
1947	1.07
1948	0.876
1949	0.969
1950	1.155
1951	1.424
1952	1.208
1953	1.057
1954	0.9
1955	1.126
1956	0.795
1957	1.011
1958	1.363
1959	0.845
1960	0.957
1961	0.749
1962	0.857
1963	1.097
1964	1.115
1965	1.536
1966	1.45
1967	1.316
1968	1.184
1969	0.689
1970	0.764
1971	0.71
1972	0.768
1973	1.059
1974	0.782
1975	1.074
1976	0.891
1977	1.188
1978	1.724
1979	1.847
1980	1.396