ÃÂ¯ÃÂ»ÃÂ¿# northamerica_usa_nm026 - Echo Amphitheater - 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/3075
#
# 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_nm026 - Echo Amphitheater - 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: Echo Amphitheater
#	Location:
#	Country: United States
#	Northernmost_Latitude: 36.35
#	Southernmost_Latitude: 36.35
#	Easternmost_Longitude: -106.52
#	Westernmost_Longitude: -106.52
#	Elevation: 2042 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_nm026B
#	Earliest_Year: 1362
#	Most_Recent_Year: 1972
#	Time_Unit: y_ad
#	Core_Length:
#	Notes: {"database":{"database1":"LMR","database2":"Breits"}} {"climateInterpretation":{"basis":"", "climateVariable":"M", "climateVariableDetail":"air", "interpDirection":"positive", "seasonality":"[6, 7, 8]"}}{"VSLite_parameters":{"T1":"3.62607095945","T2":"13.2042857959","M1":"0.0234084730528","M2":"0.579634403138"}}
#--------------------
# 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
1362	0.928
1363	0.554
1364	0.78
1365	0.982
1366	0.807
1367	0.96
1368	2.906
1369	0.659
1370	1.547
1371	1.828
1372	2.441
1373	2.088
1374	1.99
1375	1.712
1376	0.434
1377	1.409
1378	1.463
1379	1.388
1380	1.519
1381	2.141
1382	1.109
1383	2.666
1384	1.528
1385	1.01
1386	0.908
1387	0.909
1388	0.413
1389	1.199
1390	0.493
1391	0.73
1392	0.81
1393	0.679
1394	1.05
1395	1.342
1396	1.344
1397	1.293
1398	1.455
1399	0.338
1400	0.658
1401	0.713
1402	0.954
1403	0.446
1404	1.199
1405	0.931
1406	1.584
1407	0.798
1408	0.993
1409	1.361
1410	1.735
1411	0.794
1412	1.672
1413	0.644
1414	1.589
1415	0.583
1416	0.495
1417	0.817
1418	0.366
1419	0.594
1420	0.619
1421	0.489
1422	0.785
1423	0.687
1424	0.46
1425	0.834
1426	0.941
1427	1.527
1428	1.879
1429	0.966
1430	0.843
1431	1.267
1432	0.594
1433	1.021
1434	1.463
1435	1.411
1436	1.179
1437	0.621
1438	0.093
1439	1.334
1440	0.767
1441	1.343
1442	0.64
1443	1.212
1444	0.716
1445	0.183
1446	0.927
1447	1.416
1448	0.975
1449	0.3
1450	0.343
1451	0.943
1452	0.809
1453	0.599
1454	0.41
1455	0.43
1456	0.805
1457	0.344
1458	1.158
1459	1.195
1460	1.055
1461	0.334
1462	0.778
1463	0.25
1464	0.264
1465	0.337
1466	0.939
1467	0.78
1468	0.454
1469	0.811
1470	1.175
1471	0.291
1472	0.874
1473	0.607
1474	0.46
1475	0.551
1476	0.532
1477	0.517
1478	0.7
1479	0.829
1480	0.258
1481	1.546
1482	0.6
1483	0.932
1484	1.501
1485	1.473
1486	1.372
1487	0.845
1488	0.883
1489	1.107
1490	0.783
1491	1.262
1492	1.08
1493	1.079
1494	1.276
1495	0.271
1496	0.624
1497	0.68
1498	1.371
1499	1.382
1500	0.658
1501	0.886
1502	0.923
1503	0.694
1504	0.695
1505	0.805
1506	0.186
1507	0.914
1508	0.315
1509	1.125
1510	0.538
1511	0.854
1512	1.185
1513	1.669
1514	1.828
1515	2.267
1516	0.204
1517	0.259
1518	1.246
1519	0.708
1520	1.491
1521	1.297
1522	0.555
1523	0.893
1524	0.678
1525	0.859
1526	1.103
1527	1.08
1528	1.327
1529	2.082
1530	1.418
1531	1.755
1532	0.616
1533	0.918
1534	1.221
1535	0.586
1536	0.731
1537	1.079
1538	0.426
1539	1.018
1540	1.359
1541	1.193
1542	0.141
1543	1.225
1544	0.545
1545	0.42
1546	0.595
1547	0.928
1548	0.807
1549	1.11
1550	1.727
1551	0.795
1552	1.229
1553	1.144
1554	0.817
1555	1.315
1556	1.023
1557	1.306
1558	0.873
1559	0.459
1560	0.519
1561	0.674
1562	0.146
1563	0.598
1564	0.645
1565	0.865
1566	0.612
1567	0.307
1568	0.409
1569	1.052
1570	1.621
1571	1.014
1572	1.138
1573	0.108
1574	0.607
1575	0.536
1576	0.641
1577	0.897
1578	0.437
1579	0.159
1580	0.311
1581	0.642
1582	0.548
1583	0.491
1584	0.514
1585	0.515
1586	0.931
1587	0.754
1588	1.355
1589	1.623
1590	0.666
1591	1.518
1592	0.98
1593	0.148
1594	1.582
1595	1.324
1596	1.199
1597	1.522
1598	0.641
1599	0.98
1600	0.81
1601	0.908
1602	1.279
1603	1.154
1604	1.278
1605	1.366
1606	1.042
1607	0.701
1608	1.524
1609	1.496
1610	2.433
1611	2.139
1612	1.479
1613	2.308
1614	1.296
1615	0.612
1616	0.869
1617	1.491
1618	1.804
1619	0.924
1620	1.457
1621	1.148
1622	0.648
1623	0.829
1624	0.567
1625	0.17
1626	0.755
1627	1.109
1628	0.785
1629	1.227
1630	1.322
1631	0.909
1632	0.564
1633	0.724
1634	1.032
1635	1.047
1636	1.173
1637	0.675
1638	0.313
1639	1.406
1640	1.381
1641	0.556
1642	0.51
1643	0.882
1644	0.724
1645	0.27
1646	1.78
1647	2.088
1648	1.547
1649	1.707
1650	1.331
1651	1.8
1652	0.909
1653	1.119
1654	0.652
1655	1.635
1656	0.915
1657	0.46
1658	0.511
1659	0.461
1660	1.195
1661	1.047
1662	1.028
1663	0.994
1664	0.169
1665	0.68
1666	0.549
1667	0.492
1668	0.399
1669	0.372
1670	0.877
1671	0.675
1672	0.718
1673	1.297
1674	0.799
1675	0.803
1676	0.308
1677	0.714
1678	0.501
1679	0.567
1680	1.255
1681	0.793
1682	0.745
1683	0.802
1684	0.548
1685	-0.056
1686	1.425
1687	1.019
1688	0.492
1689	1.443
1690	1.402
1691	1.235
1692	1.172
1693	1.312
1694	0.583
1695	0.83
1696	0.348
1697	0.723
1698	0.695
1699	0.915
1700	0.405
1701	1.45
1702	1.178
1703	1.128
1704	0.331
1705	0.735
1706	1.211
1707	0.722
1708	1.037
1709	0.462
1710	1.732
1711	1.091
1712	1.154
1713	0.989
1714	0.261
1715	0.942
1716	0.202
1717	1.03
1718	0.874
1719	0.437
1720	1.427
1721	1.779
1722	1.197
1723	1.588
1724	0.907
1725	1.231
1726	1.469
1727	1.311
1728	0.68
1729	0.064
1730	1.061
1731	0.941
1732	1.067
1733	0.687
1734	0.779
1735	0.447
1736	1.171
1737	0.42
1738	0.29
1739	0.52
1740	0.666
1741	0.795
1742	0.814
1743	1.185
1744	0.656
1745	1.332
1746	1.692
1747	2.517
1748	0.613
1749	1.38
1750	0.985
1751	0.908
1752	0.554
1753	0.743
1754	1.299
1755	0.915
1756	0.274
1757	0.401
1758	0.954
1759	1.145
1760	1.121
1761	1.406
1762	1.598
1763	0.542
1764	1.479
1765	1.755
1766	1.399
1767	0.494
1768	1.433
1769	1.102
1770	1.756
1771	2.617
1772	1.929
1773	0.44
1774	0.73
1775	0.773
1776	1.174
1777	0.634
1778	1.016
1779	0.557
1780	0.608
1781	0.948
1782	0.733
1783	1.214
1784	1.399
1785	1.005
1786	0.469
1787	1.271
1788	0.732
1789	1.01
1790	0.679
1791	1.144
1792	1.26
1793	1.628
1794	1.304
1795	1.234
1796	0.832
1797	1.128
1798	1.054
1799	0.676
1800	1.146
1801	0.776
1802	0.974
1803	0.952
1804	0.966
1805	0.709
1806	0.186
1807	1.058
1808	0.69
1809	0.678
1810	0.41
1811	0.554
1812	0.606
1813	0.71
1814	0.691
1815	1.054
1816	1.758
1817	1.574
1818	0.615
1819	0.197
1820	0.997
1821	1.499
1822	0.47
1823	0.648
1824	0.828
1825	1.114
1826	1.213
1827	0.888
1828	1.49
1829	0.509
1830	0.826
1831	1.014
1832	1.064
1833	1.1
1834	0.973
1835	1.284
1836	0.818
1837	1.332
1838	1.472
1839	1.828
1840	1.9
1841	1.181
1842	0.72
1843	0.798
1844	0.971
1845	0.952
1846	0.499
1847	0.392
1848	0.912
1849	0.957
1850	1.151
1851	0.503
1852	1.396
1853	0.736
1854	1.048
1855	1.581
1856	1.727
1857	1.502
1858	1.458
1859	0.901
1860	0.981
1861	0.059
1862	1.273
1863	0.947
1864	0.687
1865	1.066
1866	0.952
1867	1.538
1868	1.439
1869	1.929
1870	0.969
1871	0.899
1872	0.866
1873	0.951
1874	0.997
1875	0.735
1876	0.402
1877	1.025
1878	0.651
1879	0.629
1880	0.205
1881	0.494
1882	1.027
1883	0.917
1884	1.221
1885	1.3
1886	1.258
1887	0.876
1888	1.583
1889	1.254
1890	0.778
1891	1.27
1892	1.239
1893	0.822
1894	0.896
1895	1.468
1896	0.221
1897	1.263
1898	1.122
1899	0.093
1900	0.278
1901	0.738
1902	0.048
1903	0.917
1904	0.21
1905	0.98
1906	1.109
1907	1.508
1908	1.285
1909	0.559
1910	0.799
1911	0.777
1912	1.449
1913	0.311
1914	1.292
1915	1.461
1916	1.242
1917	1.042
1918	0.782
1919	1.537
1920	1.962
1921	1.194
1922	1.37
1923	0.741
1924	1.229
1925	0.487
1926	1.306
1927	0.995
1928	0.835
1929	0.513
1930	1.083
1931	0.609
1932	1.443
1933	0.956
1934	0.797
1935	1.374
1936	1.026
1937	1.432
1938	1.544
1939	0.963
1940	1
1941	1.797
1942	1.908
1943	1.062
1944	1.448
1945	1.183
1946	0.768
1947	0.904
1948	1.387
1949	1.411
1950	0.566
1951	0.462
1952	0.622
1953	0.507
1954	0.522
1955	0.332
1956	0.153
1957	0.52
1958	0.789
1959	0.328
1960	0.666
1961	0.726
1962	0.857
1963	0.755
1964	0.38
1965	0.949
1966	0.916
1967	0.974
1968	1.479
1969	1.058
1970	1.304
1971	0.398
1972	0.891