ÃÂ¯ÃÂ»ÃÂ¿# northamerica_usa_co589 - Almont Triangle - 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/5280
#
# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: northamerica_usa_co589 - Almont Triangle - 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: Almont Triangle
#	Location:
#	Country: United States
#	Northernmost_Latitude: 38.73
#	Southernmost_Latitude: 38.73
#	Easternmost_Longitude: -106.8
#	Westernmost_Longitude: -106.8
#	Elevation: 2926 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_co589B
#	Earliest_Year: 1319
#	Most_Recent_Year: 1999
#	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":"3.79451570167","T2":"11.923734164","M1":"0.0231487739773","M2":"0.593410398137"}}
#--------------------
# 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
1319	0.941
1320	0.879
1321	1.107
1322	0.909
1323	1.478
1324	0.892
1325	1.355
1326	1.141
1327	0.893
1328	0.815
1329	0.603
1330	1.126
1331	1.057
1332	0.973
1333	1.477
1334	1.005
1335	1.346
1336	0.742
1337	1.604
1338	0.962
1339	0.814
1340	0.685
1341	0.746
1342	0.69
1343	1.017
1344	0.966
1345	0.759
1346	0.897
1347	1.018
1348	1.002
1349	0.643
1350	0.963
1351	1.258
1352	1.421
1353	1.27
1354	1.07
1355	0.688
1356	1.133
1357	1.136
1358	0.543
1359	0.647
1360	0.526
1361	0.684
1362	0.307
1363	0.566
1364	0.351
1365	0.655
1366	0.987
1367	0.672
1368	0.656
1369	0.683
1370	0.844
1371	1.161
1372	1.421
1373	1.448
1374	0.799
1375	0.526
1376	0.371
1377	0.806
1378	0.731
1379	0.685
1380	1.124
1381	0.893
1382	1.091
1383	1.261
1384	1.128
1385	1.203
1386	1.312
1387	1.548
1388	0.987
1389	0.85
1390	0.859
1391	1.136
1392	1.308
1393	0.899
1394	1.704
1395	1.957
1396	1.706
1397	0.483
1398	0.787
1399	0.764
1400	0.334
1401	1.004
1402	0.675
1403	0.637
1404	1.375
1405	0.807
1406	1.423
1407	1.225
1408	0.829
1409	0.986
1410	1.266
1411	1.107
1412	1.555
1413	0.415
1414	1.418
1415	0.771
1416	0.734
1417	0.556
1418	0.924
1419	0.969
1420	1.063
1421	1.006
1422	0.826
1423	0.574
1424	1.301
1425	1.294
1426	1.415
1427	0.912
1428	1.053
1429	1.051
1430	1.828
1431	1.367
1432	0.99
1433	0.835
1434	1.516
1435	1.49
1436	1.264
1437	1.105
1438	0.722
1439	0.635
1440	0.943
1441	0.922
1442	0.703
1443	0.844
1444	0.267
1445	0.547
1446	0.743
1447	0.898
1448	1.249
1449	1.131
1450	1.304
1451	1.363
1452	0.972
1453	0.745
1454	0.738
1455	0.71
1456	0.514
1457	0.831
1458	0.975
1459	0.66
1460	0.832
1461	0.774
1462	1.229
1463	0.847
1464	1.108
1465	0.822
1466	0.958
1467	0.991
1468	1.228
1469	1.094
1470	1.159
1471	1.005
1472	1.358
1473	1.101
1474	1.258
1475	0.538
1476	0.916
1477	1.357
1478	1.052
1479	0.911
1480	0.713
1481	0.991
1482	0.759
1483	0.688
1484	1.401
1485	1.497
1486	1.428
1487	1.829
1488	0.999
1489	1.042
1490	1.725
1491	1.967
1492	1.65
1493	1.23
1494	1.813
1495	0.771
1496	0.316
1497	1.151
1498	1.618
1499	0.603
1500	0.049
1501	1.304
1502	1.279
1503	0.868
1504	1.323
1505	0.63
1506	0.101
1507	0.947
1508	0.812
1509	0.874
1510	0.881
1511	0.806
1512	0.894
1513	0.998
1514	1.237
1515	0.56
1516	0.765
1517	0.917
1518	1.072
1519	1.221
1520	0.867
1521	1.911
1522	1.085
1523	1.017
1524	0.989
1525	0.868
1526	1.118
1527	1.308
1528	0.63
1529	0.862
1530	1.019
1531	0.552
1532	0.287
1533	1.17
1534	0.881
1535	1.049
1536	1.22
1537	1.122
1538	0.637
1539	1.097
1540	1.339
1541	0.928
1542	1.045
1543	0.923
1544	1.025
1545	0.48
1546	0.985
1547	0.825
1548	1.291
1549	1.912
1550	1.382
1551	0.755
1552	1.212
1553	1.316
1554	1.455
1555	1.883
1556	2.407
1557	1.496
1558	0.788
1559	0.772
1560	1.115
1561	1.079
1562	1.079
1563	1.163
1564	1.856
1565	1.189
1566	0.946
1567	0.99
1568	1.314
1569	1.24
1570	1.766
1571	1.176
1572	1.029
1573	0.732
1574	0.545
1575	0.756
1576	0.773
1577	1.121
1578	1.271
1579	1.016
1580	0.109
1581	0.377
1582	0.781
1583	0.716
1584	0.251
1585	0.5
1586	0.633
1587	0.564
1588	0.825
1589	1.044
1590	0.472
1591	0.816
1592	0.567
1593	0.677
1594	1.029
1595	0.838
1596	0.676
1597	0.716
1598	0.312
1599	1.125
1600	0.239
1601	1.31
1602	1.131
1603	1.116
1604	1.205
1605	0.903
1606	1.122
1607	0.393
1608	1.402
1609	0.937
1610	1.204
1611	1.103
1612	0.815
1613	1.172
1614	1.206
1615	1.379
1616	1.283
1617	1.457
1618	1.298
1619	1.279
1620	1.456
1621	1.854
1622	0.674
1623	0.906
1624	0.649
1625	0.314
1626	1.157
1627	1.246
1628	1.058
1629	0.867
1630	1.491
1631	0.832
1632	0.732
1633	1.339
1634	1.036
1635	0.828
1636	0.781
1637	1.09
1638	0.656
1639	0.943
1640	1.075
1641	0.785
1642	1.109
1643	0.751
1644	0.93
1645	0.465
1646	0.957
1647	1.115
1648	1.041
1649	1.079
1650	1.26
1651	1.461
1652	0.359
1653	0.953
1654	0.165
1655	1.696
1656	1.035
1657	1.75
1658	0.691
1659	1.104
1660	1.1
1661	1.258
1662	1.078
1663	1.026
1664	0.323
1665	1.043
1666	0.568
1667	0.524
1668	0.047
1669	0.922
1670	0.588
1671	0.375
1672	0.933
1673	0.771
1674	0.958
1675	0.593
1676	0.702
1677	0.935
1678	2.099
1679	1.397
1680	0.956
1681	0.841
1682	0.663
1683	1.103
1684	0.696
1685	-0.014
1686	0.936
1687	0.589
1688	0.933
1689	1.299
1690	1.195
1691	0.606
1692	0.55
1693	0.87
1694	0.419
1695	0.624
1696	0.87
1697	0.784
1698	1.268
1699	1.112
1700	0.87
1701	1.636
1702	1.046
1703	0.732
1704	0.715
1705	0.896
1706	1.014
1707	0.713
1708	1.024
1709	0.779
1710	1.26
1711	1.146
1712	1.117
1713	0.874
1714	0.453
1715	0.956
1716	1.121
1717	1.14
1718	0.952
1719	1.319
1720	1.462
1721	0.657
1722	1.094
1723	0.797
1724	0.412
1725	1.425
1726	1.77
1727	1.138
1728	1.183
1729	0.139
1730	1.423
1731	0.652
1732	0.941
1733	0.844
1734	1.163
1735	0.99
1736	1.296
1737	0.676
1738	1.405
1739	1.221
1740	0.57
1741	1.198
1742	0.955
1743	1.299
1744	1.235
1745	1.059
1746	0.92
1747	1.28
1748	0.91
1749	1.063
1750	0.697
1751	0.942
1752	0.921
1753	1.313
1754	0.994
1755	0.934
1756	0.131
1757	1.408
1758	1.106
1759	0.925
1760	0.996
1761	1.023
1762	1.381
1763	0.86
1764	1.039
1765	1.109
1766	1.619
1767	0.788
1768	0.752
1769	0.878
1770	0.77
1771	1.308
1772	1.023
1773	0.571
1774	0.783
1775	0.649
1776	0.506
1777	0.127
1778	0.731
1779	0.484
1780	0.525
1781	0.772
1782	0.658
1783	1.065
1784	0.985
1785	1.193
1786	0.659
1787	1.455
1788	0.837
1789	0.915
1790	1.541
1791	1.436
1792	1.646
1793	1.192
1794	1.185
1795	0.474
1796	1.048
1797	1.303
1798	0.2
1799	1.044
1800	1.011
1801	1.101
1802	0.98
1803	0.771
1804	0.667
1805	0.717
1806	0.251
1807	0.867
1808	0.911
1809	0.747
1810	0.793
1811	0.918
1812	1.235
1813	1.382
1814	0.722
1815	0.913
1816	1.144
1817	1.337
1818	0.777
1819	1.05
1820	1.071
1821	1.324
1822	1.309
1823	1.4
1824	0.401
1825	0.917
1826	0.963
1827	0.953
1828	1.219
1829	0.867
1830	1.143
1831	1.57
1832	1.159
1833	0.928
1834	0.451
1835	1.032
1836	0.723
1837	1.141
1838	1.117
1839	1.053
1840	1.226
1841	1.18
1842	0.497
1843	1.152
1844	0.45
1845	0.23
1846	0.779
1847	0.115
1848	1.006
1849	0.856
1850	0.949
1851	-0.008
1852	0.977
1853	1.333
1854	1.296
1855	0.937
1856	1.004
1857	0.921
1858	1.182
1859	0.751
1860	0.936
1861	1.057
1862	1.508
1863	1.386
1864	1.69
1865	1.541
1866	1.733
1867	1.644
1868	0.795
1869	1.612
1870	1.21
1871	0.665
1872	1.251
1873	1.201
1874	0.654
1875	1.176
1876	1.131
1877	1.236
1878	0.508
1879	0.593
1880	0.243
1881	0.713
1882	0.803
1883	1.136
1884	1.12
1885	1.139
1886	0.853
1887	0.729
1888	0.9
1889	0.572
1890	0.679
1891	0.919
1892	1.018
1893	0.701
1894	0.912
1895	1.079
1896	0.213
1897	1.225
1898	0.788
1899	0.485
1900	0.96
1901	0.528
1902	0.166
1903	0.912
1904	0.515
1905	0.826
1906	0.703
1907	1.29
1908	0.748
1909	0.686
1910	0.958
1911	1.281
1912	1.605
1913	1.003
1914	1.185
1915	1.174
1916	1.251
1917	1.425
1918	1.325
1919	1.125
1920	1.289
1921	1.462
1922	1.15
1923	1.262
1924	1.454
1925	0.773
1926	1.383
1927	1.065
1928	1.251
1929	0.908
1930	1.585
1931	0.392
1932	1.035
1933	1.152
1934	0.266
1935	1.049
1936	1.008
1937	1.158
1938	1.115
1939	0.817
1940	0.63
1941	1.063
1942	1.128
1943	0.81
1944	0.897
1945	0.427
1946	0.66
1947	1.431
1948	1.159
1949	1.252
1950	0.656
1951	1.06
1952	0.826
1953	1.203
1954	0.343
1955	0.876
1956	0.953
1957	1.068
1958	1.341
1959	0.274
1960	1.209
1961	0.592
1962	1.055
1963	0.691
1964	0.831
1965	1.615
1966	1.468
1967	0.65
1968	0.838
1969	1.492
1970	1.603
1971	1.252
1972	1.13
1973	1.283
1974	1.143
1975	1.348
1976	0.854
1977	0.055
1978	1.202
1979	1.021
1980	0.951
1981	0.49
1982	1.034
1983	1.001
1984	1.252
1985	1.564
1986	1.685
1987	1.904
1988	0.931
1989	0.986
1990	0.965
1991	1.676
1992	0.733
1993	1.455
1994	0.914
1995	1.555
1996	1.2
1997	1.493
1998	0.658
1999	1.4