ÃÂ¯ÃÂ»ÃÂ¿# northamerica_usa_wa027 - Lava Beds - 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/2900
#
# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: northamerica_usa_wa027 - Lava Beds - 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: Lava Beds
#	Location:
#	Country: United States
#	Northernmost_Latitude: 45.97
#	Southernmost_Latitude: 45.97
#	Easternmost_Longitude: -121.98
#	Westernmost_Longitude: -121.98
#	Elevation: 930 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_wa027B
#	Earliest_Year: 1397
#	Most_Recent_Year: 1976
#	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":"5.90218108146","T2":"17.7626912883","M1":"0.0221631365567","M2":"0.456191634945"}}
#--------------------
# 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
1397	1.135
1398	1.072
1399	1.086
1400	1.21
1401	0.808
1402	1.017
1403	0.863
1404	0.871
1405	1.004
1406	0.981
1407	1.076
1408	1.124
1409	1.208
1410	1.096
1411	1.018
1412	0.967
1413	1.093
1414	0.97
1415	1.041
1416	1.023
1417	1.016
1418	1.068
1419	1.238
1420	0.89
1421	1.161
1422	0.985
1423	1.011
1424	0.953
1425	0.839
1426	0.981
1427	0.818
1428	0.975
1429	1.005
1430	0.965
1431	1.009
1432	0.92
1433	1.015
1434	1.158
1435	1.058
1436	1.08
1437	0.936
1438	1.086
1439	0.896
1440	1.132
1441	1.085
1442	1.011
1443	1.262
1444	1.11
1445	0.943
1446	1.008
1447	0.82
1448	0.893
1449	0.749
1450	0.784
1451	0.691
1452	0.801
1453	0.807
1454	0.878
1455	0.888
1456	0.89
1457	0.938
1458	0.808
1459	1.157
1460	0.969
1461	0.847
1462	1.088
1463	0.9
1464	0.798
1465	0.974
1466	0.892
1467	0.899
1468	0.887
1469	0.993
1470	1.002
1471	1.071
1472	0.882
1473	1.009
1474	0.932
1475	0.872
1476	0.946
1477	0.786
1478	0.822
1479	0.869
1480	0.789
1481	0.948
1482	0.887
1483	0.93
1484	0.866
1485	0.897
1486	0.925
1487	0.84
1488	0.752
1489	0.791
1490	0.898
1491	0.901
1492	1.108
1493	0.83
1494	0.935
1495	0.747
1496	1.046
1497	0.989
1498	0.978
1499	1.019
1500	1.172
1501	1.039
1502	1.058
1503	1.272
1504	1.333
1505	1.421
1506	1.366
1507	1.213
1508	1.294
1509	1.075
1510	1.227
1511	1.135
1512	1.113
1513	1.176
1514	1.085
1515	1.203
1516	1.152
1517	1.098
1518	0.96
1519	1.161
1520	1.201
1521	1.13
1522	0.8
1523	0.975
1524	0.99
1525	1.027
1526	1.001
1527	1.06
1528	1.169
1529	0.965
1530	1.182
1531	1.015
1532	1.078
1533	1.084
1534	0.756
1535	1.116
1536	1.038
1537	0.981
1538	0.857
1539	1.062
1540	0.937
1541	1.059
1542	1.228
1543	1.256
1544	1.3
1545	1.359
1546	0.902
1547	1.04
1548	1.196
1549	0.973
1550	0.952
1551	1.08
1552	0.995
1553	1.126
1554	1.118
1555	1.295
1556	1.143
1557	1.341
1558	1.246
1559	1.252
1560	1.149
1561	1.067
1562	1.033
1563	1.035
1564	1.19
1565	0.987
1566	1.304
1567	1.097
1568	0.974
1569	1.063
1570	1.046
1571	1.084
1572	1.114
1573	1.026
1574	1.09
1575	1.114
1576	0.756
1577	0.867
1578	1.045
1579	0.926
1580	1.106
1581	0.79
1582	0.802
1583	0.998
1584	0.842
1585	0.942
1586	1.035
1587	0.966
1588	1.17
1589	1.149
1590	1.099
1591	1.128
1592	1.087
1593	1.082
1594	0.949
1595	1.064
1596	1.133
1597	1.434
1598	1.378
1599	1.401
1600	1.283
1601	1.247
1602	1.039
1603	1.088
1604	0.979
1605	0.848
1606	1
1607	1.146
1608	1.09
1609	1.052
1610	0.925
1611	1.205
1612	0.992
1613	0.832
1614	0.856
1615	0.857
1616	0.935
1617	0.926
1618	0.771
1619	0.85
1620	0.955
1621	0.99
1622	1.096
1623	0.807
1624	0.874
1625	0.856
1626	0.871
1627	0.851
1628	0.801
1629	0.761
1630	0.809
1631	0.792
1632	0.99
1633	0.946
1634	0.791
1635	0.651
1636	0.927
1637	0.899
1638	0.968
1639	0.877
1640	1.064
1641	0.901
1642	0.865
1643	1.046
1644	0.996
1645	1.024
1646	1.03
1647	1.001
1648	0.993
1649	0.823
1650	0.967
1651	1.07
1652	1.108
1653	0.838
1654	1.092
1655	1.051
1656	1.068
1657	1.109
1658	1.086
1659	1.081
1660	1.105
1661	1.011
1662	0.975
1663	0.9
1664	1.127
1665	0.94
1666	1.073
1667	1.061
1668	0.892
1669	1.075
1670	0.916
1671	0.864
1672	1.012
1673	0.97
1674	0.933
1675	0.892
1676	0.848
1677	0.9
1678	0.917
1679	0.962
1680	0.804
1681	1.021
1682	1.093
1683	0.937
1684	0.916
1685	1.052
1686	1.052
1687	1.099
1688	1.046
1689	1.096
1690	1.064
1691	0.98
1692	1.042
1693	0.965
1694	0.948
1695	1.085
1696	0.953
1697	0.843
1698	0.847
1699	0.669
1700	1.02
1701	0.69
1702	0.837
1703	0.837
1704	0.738
1705	0.862
1706	0.826
1707	0.841
1708	0.842
1709	0.783
1710	0.841
1711	0.799
1712	0.764
1713	0.759
1714	0.962
1715	0.989
1716	0.964
1717	0.945
1718	0.925
1719	0.986
1720	0.999
1721	0.99
1722	1.118
1723	0.945
1724	0.992
1725	0.961
1726	1.06
1727	1.002
1728	0.87
1729	0.957
1730	0.863
1731	0.924
1732	0.962
1733	0.869
1734	0.794
1735	0.857
1736	0.765
1737	0.714
1738	0.885
1739	0.843
1740	0.885
1741	0.805
1742	0.737
1743	0.745
1744	0.662
1745	0.727
1746	0.653
1747	0.786
1748	0.617
1749	0.564
1750	0.793
1751	0.76
1752	0.802
1753	0.684
1754	0.626
1755	0.707
1756	0.729
1757	0.779
1758	0.776
1759	0.818
1760	0.849
1761	0.869
1762	0.91
1763	0.95
1764	0.795
1765	0.916
1766	0.87
1767	0.757
1768	0.719
1769	0.78
1770	1.084
1771	1.079
1772	1.044
1773	1.19
1774	1.123
1775	1.021
1776	0.936
1777	1.228
1778	1.298
1779	1.189
1780	1.188
1781	1.186
1782	1.066
1783	1.192
1784	1.142
1785	1.205
1786	1.195
1787	0.887
1788	1.077
1789	1.197
1790	1.079
1791	1.056
1792	1.124
1793	1.078
1794	1.18
1795	1.026
1796	1.009
1797	0.875
1798	1.019
1799	0.803
1800	0.932
1801	1.01
1802	0.912
1803	0.9
1804	1.019
1805	1.045
1806	1.054
1807	0.975
1808	0.91
1809	0.937
1810	0.803
1811	0.815
1812	0.886
1813	0.884
1814	0.872
1815	0.838
1816	0.813
1817	0.872
1818	0.702
1819	0.904
1820	0.903
1821	0.787
1822	1.105
1823	0.701
1824	0.806
1825	0.991
1826	1.053
1827	0.861
1828	0.85
1829	1.02
1830	1.038
1831	0.965
1832	0.995
1833	1.083
1834	1.015
1835	0.995
1836	0.904
1837	0.996
1838	1.075
1839	1.09
1840	0.957
1841	1.007
1842	0.915
1843	0.867
1844	1.001
1845	1.175
1846	1.011
1847	0.783
1848	0.854
1849	0.596
1850	0.773
1851	0.975
1852	0.965
1853	0.988
1854	0.99
1855	1.179
1856	1.041
1857	1.021
1858	1.143
1859	1.025
1860	1.143
1861	1.124
1862	0.9
1863	1.106
1864	0.834
1865	0.834
1866	0.812
1867	0.866
1868	0.916
1869	0.817
1870	0.951
1871	0.903
1872	0.997
1873	1.098
1874	1.122
1875	1.11
1876	0.976
1877	1.168
1878	1.246
1879	1.22
1880	0.744
1881	0.819
1882	0.945
1883	0.833
1884	0.916
1885	0.959
1886	0.907
1887	0.845
1888	0.998
1889	1.021
1890	0.896
1891	1.146
1892	1.175
1893	1.128
1894	1.058
1895	1.026
1896	1.042
1897	0.872
1898	1.079
1899	0.972
1900	1.19
1901	1.091
1902	0.952
1903	0.918
1904	1.093
1905	0.955
1906	0.957
1907	0.958
1908	1.051
1909	0.899
1910	0.837
1911	0.871
1912	0.935
1913	1.042
1914	0.973
1915	0.928
1916	0.881
1917	0.819
1918	0.867
1919	0.904
1920	1
1921	0.978
1922	0.844
1923	0.837
1924	0.867
1925	0.903
1926	0.871
1927	0.991
1928	1.094
1929	0.958
1930	0.942
1931	1.031
1932	1.133
1933	1.16
1934	1.156
1935	1.2
1936	0.909
1937	1.175
1938	1.194
1939	1.013
1940	1.153
1941	1.119
1942	1.291
1943	1.122
1944	1.254
1945	1.138
1946	1.167
1947	1.147
1948	1.403
1949	1.107
1950	1.406
1951	1.205
1952	1.125
1953	1.147
1954	1.141
1955	1.169
1956	0.99
1957	1.007
1958	1.213
1959	1.031
1960	1.044
1961	0.993
1962	0.778
1963	0.971
1964	1.099
1965	1.079
1966	0.938
1967	1.101
1968	0.95
1969	1.007
1970	1.252
1971	1.146
1972	1.111
1973	1.226
1974	1.161
1975	1.208
1976	0.608