ÃÂ¯ÃÂ»ÃÂ¿# northamerica_usa_or087 - Lane Plateau - 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/6124
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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_or087 - Lane Plateau - 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: Lane Plateau
#	Location:
#	Country: United States
#	Northernmost_Latitude: 44.15
#	Southernmost_Latitude: 44.15
#	Easternmost_Longitude: -121.83
#	Westernmost_Longitude: -121.83
#	Elevation: 1945 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_or087B
#	Earliest_Year: 1436
#	Most_Recent_Year: 1990
#	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":"3.74592335275","T2":"17.0017512056","M1":"0.0225132999372","M2":"0.231361795507"}}
#--------------------
# Species
#	Species_Name: mountain hemlock
#	Species_Code: TSME
#--------------------
# 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
1436	0.865
1437	0.786
1438	0.615
1439	0.913
1440	0.797
1441	0.721
1442	0.545
1443	0.744
1444	1.066
1445	0.82
1446	1.043
1447	0.853
1448	0.899
1449	0.912
1450	1.112
1451	1.265
1452	0.74
1453	1.102
1454	0.997
1455	0.893
1456	0.926
1457	1.24
1458	1.58
1459	0.834
1460	1.182
1461	1.24
1462	1.642
1463	1.241
1464	1.233
1465	1.828
1466	1.218
1467	0.98
1468	1.017
1469	0.952
1470	1.124
1471	1.153
1472	0.856
1473	0.74
1474	0.605
1475	0.798
1476	0.707
1477	0.659
1478	0.784
1479	0.654
1480	0.705
1481	0.773
1482	0.748
1483	0.835
1484	1.052
1485	0.996
1486	0.968
1487	0.842
1488	0.726
1489	0.809
1490	0.738
1491	1.047
1492	1.087
1493	0.809
1494	0.989
1495	0.893
1496	1.381
1497	1.032
1498	0.899
1499	1.166
1500	1.008
1501	0.932
1502	0.971
1503	0.981
1504	0.946
1505	1.354
1506	1.379
1507	1.114
1508	1.292
1509	1.288
1510	1.243
1511	1.423
1512	1.268
1513	1.3
1514	0.893
1515	1.122
1516	1.385
1517	1.236
1518	1.398
1519	0.993
1520	1.355
1521	1.248
1522	1.039
1523	0.688
1524	0.874
1525	1.091
1526	1.073
1527	1.032
1528	1.376
1529	1.183
1530	0.442
1531	0.449
1532	0.779
1533	0.629
1534	0.577
1535	0.639
1536	0.595
1537	0.696
1538	0.547
1539	0.673
1540	0.9
1541	0.736
1542	0.775
1543	1.31
1544	1.118
1545	1.197
1546	0.959
1547	1.426
1548	1.071
1549	1.09
1550	1.403
1551	0.918
1552	1.249
1553	0.849
1554	1.338
1555	1.068
1556	1.718
1557	1.44
1558	0.991
1559	0.867
1560	1.144
1561	1.252
1562	1.425
1563	0.969
1564	1.269
1565	0.854
1566	0.731
1567	1.154
1568	0.585
1569	0.496
1570	0.787
1571	1.018
1572	0.651
1573	0.578
1574	0.86
1575	0.971
1576	0.782
1577	0.561
1578	0.781
1579	0.641
1580	1.007
1581	0.743
1582	0.652
1583	1.032
1584	0.604
1585	1.03
1586	0.832
1587	0.523
1588	0.944
1589	0.964
1590	0.976
1591	1.288
1592	0.855
1593	1.294
1594	1.007
1595	0.993
1596	0.64
1597	0.954
1598	1.168
1599	0.725
1600	1.377
1601	0.478
1602	0.875
1603	0.958
1604	0.603
1605	0.815
1606	0.508
1607	1.087
1608	0.866
1609	0.976
1610	1.047
1611	0.942
1612	0.892
1613	0.896
1614	0.986
1615	0.924
1616	1.03
1617	0.815
1618	0.991
1619	0.903
1620	0.737
1621	0.893
1622	0.806
1623	0.859
1624	0.899
1625	0.98
1626	0.843
1627	0.775
1628	0.83
1629	1.025
1630	0.751
1631	0.694
1632	1.077
1633	0.976
1634	1.383
1635	1.002
1636	0.778
1637	0.942
1638	1.001
1639	0.917
1640	0.784
1641	0.295
1642	1.041
1643	0.931
1644	0.989
1645	1.027
1646	1.038
1647	0.871
1648	0.665
1649	1.135
1650	0.901
1651	1.446
1652	1.066
1653	0.564
1654	0.803
1655	0.996
1656	1.112
1657	1.038
1658	1.085
1659	0.908
1660	1.04
1661	1.219
1662	0.661
1663	0.724
1664	0.942
1665	1.027
1666	0.903
1667	1
1668	0.476
1669	0.852
1670	1.032
1671	1.341
1672	0.61
1673	1.114
1674	1.112
1675	1.001
1676	0.819
1677	1.278
1678	0.982
1679	1.083
1680	0.95
1681	1.14
1682	1.04
1683	0.951
1684	0.614
1685	0.946
1686	1.152
1687	1.236
1688	1.088
1689	0.958
1690	1.15
1691	0.662
1692	1.027
1693	0.877
1694	1.075
1695	1.116
1696	0.705
1697	0.556
1698	0.766
1699	0.934
1700	0.843
1701	0.606
1702	0.723
1703	0.595
1704	0.694
1705	1.002
1706	0.839
1707	0.681
1708	1.002
1709	0.556
1710	1.088
1711	0.99
1712	1.245
1713	1.044
1714	0.889
1715	0.486
1716	1.235
1717	1.309
1718	1.298
1719	1.401
1720	1.45
1721	1.226
1722	1.136
1723	1.043
1724	1.039
1725	1.058
1726	1.457
1727	1.256
1728	1.425
1729	1.264
1730	0.86
1731	1.127
1732	1.134
1733	1.287
1734	1.197
1735	1.326
1736	1.149
1737	1.063
1738	0.965
1739	1.175
1740	1.176
1741	1.373
1742	0.638
1743	1.245
1744	0.836
1745	0.867
1746	0.995
1747	1.15
1748	0.918
1749	0.868
1750	1.106
1751	1.056
1752	0.68
1753	0.669
1754	0.461
1755	0.972
1756	1.185
1757	0.805
1758	1.15
1759	0.715
1760	0.781
1761	0.752
1762	0.921
1763	0.76
1764	0.945
1765	0.926
1766	0.882
1767	1.024
1768	1.05
1769	1.069
1770	1.209
1771	1.204
1772	1.093
1773	1.287
1774	1.109
1775	0.701
1776	1.432
1777	1.212
1778	1.185
1779	1.056
1780	1.178
1781	0.817
1782	1.073
1783	1.118
1784	0.955
1785	0.79
1786	1.018
1787	1.007
1788	1.396
1789	1.028
1790	1.069
1791	1.373
1792	0.954
1793	0.982
1794	1.087
1795	0.915
1796	0.929
1797	0.811
1798	1.263
1799	1.154
1800	1.225
1801	0.469
1802	0.785
1803	1.107
1804	1.171
1805	1.188
1806	0.999
1807	1.091
1808	0.97
1809	0.939
1810	0.315
1811	0.697
1812	1.152
1813	0.951
1814	1.315
1815	0.96
1816	1.295
1817	1.213
1818	0.905
1819	0.878
1820	0.651
1821	0.814
1822	0.942
1823	0.92
1824	0.855
1825	1.05
1826	0.921
1827	0.888
1828	0.806
1829	1.041
1830	0.938
1831	0.805
1832	0.615
1833	1.071
1834	1.155
1835	0.884
1836	0.824
1837	1.19
1838	0.993
1839	1.429
1840	0.564
1841	1.002
1842	0.992
1843	1.313
1844	0.983
1845	0.95
1846	1.367
1847	0.598
1848	1.159
1849	0.861
1850	1.018
1851	1.282
1852	1.214
1853	0.816
1854	1.334
1855	1.269
1856	1.004
1857	1.229
1858	1.185
1859	0.936
1860	1.241
1861	0.841
1862	0.66
1863	1.511
1864	1.207
1865	1.126
1866	0.591
1867	1.054
1868	1.269
1869	1.011
1870	0.883
1871	0.909
1872	1.053
1873	0.985
1874	1.272
1875	1.013
1876	0.657
1877	1.279
1878	1.215
1879	1.145
1880	0.556
1881	1.211
1882	0.672
1883	0.995
1884	0.74
1885	1.1
1886	1.155
1887	0.829
1888	1.395
1889	1.095
1890	0.917
1891	1.115
1892	0.917
1893	0.863
1894	0.568
1895	1.21
1896	0.628
1897	1.089
1898	1.2
1899	0.33
1900	1.389
1901	1.11
1902	1.063
1903	1.011
1904	1.316
1905	1.161
1906	1.008
1907	0.883
1908	1.001
1909	0.932
1910	1.293
1911	1.011
1912	0.909
1913	1.163
1914	1.624
1915	1.199
1916	0.47
1917	0.909
1918	0.768
1919	0.619
1920	0.789
1921	0.695
1922	1
1923	0.851
1924	1.049
1925	0.619
1926	1.068
1927	0.79
1928	0.974
1929	0.869
1930	1.114
1931	1.146
1932	0.872
1933	0.811
1934	1.176
1935	1.126
1936	1.21
1937	0.806
1938	1.176
1939	1.356
1940	1.097
1941	1.015
1942	0.993
1943	0.596
1944	1.047
1945	1.149
1946	0.881
1947	0.949
1948	0.919
1949	0.962
1950	0.891
1951	0.964
1952	0.908
1953	0.607
1954	0.838
1955	1.033
1956	0.904
1957	1.056
1958	1.191
1959	0.898
1960	0.911
1961	0.858
1962	0.604
1963	1.03
1964	0.906
1965	1.107
1966	1.223
1967	0.998
1968	0.696
1969	1.03
1970	0.987
1971	0.65
1972	0.483
1973	1.021
1974	0.625
1975	0.837
1976	0.681
1977	1.25
1978	1.043
1979	0.822
1980	0.997
1981	1.06
1982	0.783
1983	0.92
1984	1.205
1985	0.968
1986	0.857
1987	0.913
1988	0.842
1989	0.606
1990	0.838