ÃÂ¯ÃÂ»ÃÂ¿# northamerica_usa_wa088 - Olympic Road 3116 - 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/3191
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# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: northamerica_usa_wa088 - Olympic Road 3116 - 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: Olympic Road 3116
#	Location:
#	Country: United States
#	Northernmost_Latitude: 48.0
#	Southernmost_Latitude: 48.0
#	Easternmost_Longitude: -124.0
#	Westernmost_Longitude: -124.0
#	Elevation: 267 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_wa088B
#	Earliest_Year: 1394
#	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":"5.8424200177","T2":"15.9389516985","M1":"0.0227921565522","M2":"0.474959612301"}}
#--------------------
# Species
#	Species_Name: Douglas fir
#	Species_Code: PSME
#--------------------
# 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
1394	1.501
1395	1.183
1396	1.322
1397	1.31
1398	1.217
1399	1.155
1400	1.175
1401	0.898
1402	1.082
1403	1.33
1404	1.128
1405	1.822
1406	2.117
1407	1.884
1408	1.49
1409	1.453
1410	1.064
1411	1.193
1412	1.233
1413	1.324
1414	1.306
1415	1.333
1416	1.276
1417	1.232
1418	1.719
1419	1.338
1420	1.229
1421	1.397
1422	0.943
1423	0.867
1424	0.827
1425	0.748
1426	0.715
1427	0.563
1428	0.782
1429	0.87
1430	1.11
1431	0.864
1432	0.791
1433	0.967
1434	1.146
1435	0.987
1436	1.035
1437	1.171
1438	0.949
1439	0.993
1440	1.027
1441	0.946
1442	1.014
1443	1.177
1444	1.115
1445	1.155
1446	1.061
1447	1.174
1448	0.877
1449	0.776
1450	0.727
1451	0.642
1452	0.881
1453	0.857
1454	0.926
1455	0.973
1456	0.979
1457	1.013
1458	1.007
1459	1.132
1460	1.331
1461	0.97
1462	0.863
1463	0.676
1464	0.75
1465	0.746
1466	0.862
1467	0.859
1468	0.962
1469	0.987
1470	1.179
1471	1.236
1472	0.996
1473	1.235
1474	1.079
1475	0.778
1476	0.956
1477	1.055
1478	0.971
1479	1.142
1480	1.088
1481	1.192
1482	1.329
1483	1.277
1484	0.915
1485	0.869
1486	0.798
1487	0.684
1488	0.624
1489	0.776
1490	0.803
1491	0.69
1492	0.739
1493	0.716
1494	0.816
1495	0.907
1496	1.05
1497	1.128
1498	0.968
1499	0.843
1500	1.157
1501	1.059
1502	0.995
1503	0.956
1504	0.935
1505	0.926
1506	1.056
1507	1.002
1508	1.021
1509	0.86
1510	0.918
1511	0.652
1512	0.915
1513	0.915
1514	1.058
1515	0.984
1516	0.881
1517	0.86
1518	0.928
1519	1.113
1520	1.458
1521	1.35
1522	1.257
1523	1.097
1524	1.104
1525	1.125
1526	1.204
1527	1.155
1528	1.368
1529	1.247
1530	1.314
1531	1.076
1532	1.241
1533	1.301
1534	1.018
1535	1.328
1536	1.172
1537	1.131
1538	0.889
1539	1.015
1540	0.967
1541	1.035
1542	0.971
1543	1.107
1544	0.95
1545	1.082
1546	0.559
1547	0.876
1548	0.891
1549	0.825
1550	0.757
1551	1.091
1552	0.761
1553	0.924
1554	0.959
1555	1.149
1556	0.99
1557	0.949
1558	0.745
1559	0.986
1560	0.947
1561	0.934
1562	0.958
1563	0.761
1564	0.668
1565	0.675
1566	1.136
1567	1.284
1568	0.98
1569	1.316
1570	1.128
1571	0.977
1572	1.152
1573	0.977
1574	1.04
1575	1.041
1576	0.919
1577	0.877
1578	1.054
1579	1.094
1580	1.219
1581	0.979
1582	0.984
1583	1.229
1584	0.93
1585	0.821
1586	0.461
1587	0.58
1588	0.778
1589	0.742
1590	0.87
1591	0.819
1592	0.9
1593	0.919
1594	0.829
1595	0.933
1596	0.931
1597	1.362
1598	1.551
1599	1.427
1600	1.334
1601	1.011
1602	1.111
1603	0.852
1604	0.78
1605	0.673
1606	0.786
1607	1.049
1608	0.949
1609	0.853
1610	0.827
1611	1.033
1612	1.217
1613	0.999
1614	0.882
1615	0.673
1616	0.785
1617	0.751
1618	0.63
1619	0.766
1620	0.707
1621	0.844
1622	0.913
1623	0.67
1624	0.732
1625	0.753
1626	0.704
1627	0.75
1628	0.632
1629	0.713
1630	0.916
1631	0.847
1632	1.191
1633	1.154
1634	1.156
1635	0.989
1636	1.141
1637	1.05
1638	1.216
1639	1.103
1640	1.285
1641	1.113
1642	1.301
1643	1.088
1644	0.997
1645	1.032
1646	1.152
1647	1.237
1648	1.144
1649	0.598
1650	0.559
1651	0.89
1652	0.926
1653	0.724
1654	1.032
1655	1.17
1656	1.185
1657	0.974
1658	1.15
1659	1.2
1660	0.762
1661	0.946
1662	0.979
1663	0.873
1664	0.988
1665	1.09
1666	1.175
1667	1.166
1668	1.238
1669	1.04
1670	0.88
1671	0.785
1672	0.919
1673	0.885
1674	0.736
1675	0.866
1676	0.803
1677	0.679
1678	0.641
1679	0.679
1680	0.605
1681	0.701
1682	0.816
1683	0.666
1684	0.781
1685	0.883
1686	0.916
1687	1.18
1688	1.302
1689	1.318
1690	1.15
1691	1.168
1692	1.149
1693	1.209
1694	1.189
1695	1.284
1696	1.266
1697	1.129
1698	0.993
1699	0.883
1700	0.922
1701	0.758
1702	0.777
1703	0.876
1704	0.775
1705	0.482
1706	0.015
1707	0.251
1708	0.26
1709	0.456
1710	0.622
1711	0.595
1712	0.661
1713	0.727
1714	1.009
1715	0.91
1716	0.964
1717	0.991
1718	1.094
1719	1.232
1720	1.049
1721	1.147
1722	1.212
1723	1.198
1724	1.111
1725	1.175
1726	1.544
1727	1.261
1728	0.934
1729	1.208
1730	1.106
1731	1.178
1732	1.088
1733	1.101
1734	1.068
1735	1.328
1736	0.964
1737	1.059
1738	1.153
1739	1.323
1740	1.209
1741	0.964
1742	1.005
1743	1.103
1744	0.955
1745	0.951
1746	0.955
1747	1.087
1748	0.996
1749	1.311
1750	1.644
1751	1.23
1752	1.163
1753	1.23
1754	0.986
1755	1.082
1756	1.059
1757	1.091
1758	0.931
1759	1.036
1760	1.175
1761	1.334
1762	1.299
1763	0.941
1764	0.865
1765	1.108
1766	1.305
1767	1.02
1768	0.908
1769	0.823
1770	1.138
1771	1.195
1772	1.103
1773	1.565
1774	1.285
1775	1.134
1776	1.087
1777	1.238
1778	1.051
1779	0.978
1780	1.107
1781	1.026
1782	0.713
1783	0.877
1784	0.877
1785	1.339
1786	1.15
1787	0.766
1788	1.059
1789	0.912
1790	0.951
1791	0.763
1792	1.021
1793	1.201
1794	1.53
1795	1.308
1796	1.015
1797	0.796
1798	1.06
1799	0.806
1800	1.183
1801	1.314
1802	1.13
1803	1.101
1804	0.996
1805	1.143
1806	1.088
1807	1.133
1808	1.08
1809	0.915
1810	1.123
1811	0.931
1812	0.651
1813	0.787
1814	0.847
1815	0.919
1816	0.987
1817	1.058
1818	0.856
1819	1.117
1820	1.032
1821	0.662
1822	1.037
1823	0.877
1824	0.909
1825	1.102
1826	1.172
1827	1.168
1828	0.953
1829	1.198
1830	1.059
1831	1.139
1832	1.138
1833	1.247
1834	1.33
1835	1.234
1836	1.298
1837	1.18
1838	1.503
1839	1.502
1840	1.163
1841	1.109
1842	1.325
1843	0.956
1844	0.968
1845	1.301
1846	1.186
1847	0.932
1848	0.846
1849	0.554
1850	0.64
1851	0.544
1852	0.524
1853	0.584
1854	0.772
1855	0.968
1856	0.696
1857	0.882
1858	0.967
1859	1.015
1860	1.116
1861	1.116
1862	1.081
1863	1.273
1864	0.799
1865	0.843
1866	0.902
1867	0.874
1868	0.897
1869	0.714
1870	0.666
1871	0.676
1872	0.719
1873	0.901
1874	0.813
1875	0.803
1876	0.557
1877	0.696
1878	0.811
1879	0.882
1880	0.637
1881	0.54
1882	0.643
1883	0.61
1884	0.616
1885	0.592
1886	0.641
1887	0.602
1888	0.789
1889	0.854
1890	0.637
1891	0.847
1892	0.893
1893	0.936
1894	0.981
1895	0.753
1896	0.894
1897	0.671
1898	0.821
1899	0.869
1900	1.063
1901	1.254
1902	0.934
1903	0.951
1904	1.16
1905	0.785
1906	0.899
1907	0.938
1908	1.05
1909	1.01
1910	1.016
1911	1.087
1912	0.734
1913	0.992
1914	1.016
1915	0.931
1916	1.076
1917	1.261
1918	0.741
1919	0.819
1920	0.927
1921	0.968
1922	0.892
1923	0.72
1924	0.815
1925	0.915
1926	0.779
1927	0.992
1928	0.953
1929	1.088
1930	1.013
1931	1.13
1932	1.12
1933	1.124
1934	1.135
1935	1.217
1936	0.856
1937	0.855
1938	0.935
1939	0.696
1940	0.805
1941	1.024
1942	1.013
1943	0.963
1944	1.235
1945	1.008
1946	1.223
1947	1.263
1948	1.562
1949	1.208
1950	1.492
1951	1.002
1952	0.831
1953	1.058
1954	1.116
1955	1.225
1956	0.896
1957	0.848
1958	0.955
1959	0.581
1960	0.8
1961	0.907
1962	0.732
1963	0.914
1964	1.11
1965	1.023
1966	0.757
1967	0.923
1968	0.864
1969	0.877
1970	1.081
1971	1.129
1972	0.933
1973	1.043
1974	1.104
1975	1.044
1976	1.226
1977	1.368
1978	1.145
1979	1.156
1980	1.245
1981	1.329
1982	1.096
1983	1.304
1984	1.25
1985	1.087
1986	0.807
1987	0.567