ÃÂ¯ÃÂ»ÃÂ¿# northamerica_usa_co616 - Plug Hat Butte - 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/5324
#
# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: northamerica_usa_co616 - Plug Hat Butte - 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: Plug Hat Butte
#	Location:
#	Country: United States
#	Northernmost_Latitude: 40.78
#	Southernmost_Latitude: 40.78
#	Easternmost_Longitude: -108.97
#	Westernmost_Longitude: -108.97
#	Elevation: 2133 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_co616B
#	Earliest_Year: 1270
#	Most_Recent_Year: 2000
#	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":"4.74209584833","T2":"15.8307988262","M1":"0.0238597501453","M2":"0.47732886645"}}
#--------------------
# Species
#	Species_Name: pinyon pine
#	Species_Code: PIED
#--------------------
# 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
1270	0.224
1271	0.467
1272	0.699
1273	0.491
1274	0.825
1275	0.701
1276	0.486
1277	0.447
1278	0.604
1279	0.675
1280	0.668
1281	0.623
1282	0.987
1283	0.79
1284	0.977
1285	0.586
1286	0.596
1287	0.663
1288	0.559
1289	0.828
1290	1.19
1291	1.031
1292	0.839
1293	0.879
1294	1.703
1295	0.635
1296	1.325
1297	0.802
1298	1.313
1299	1.476
1300	1.592
1301	0.903
1302	0.925
1303	1.951
1304	1.792
1305	1.751
1306	1.43
1307	1.051
1308	1.247
1309	1.103
1310	1.689
1311	1.77
1312	1.937
1313	2.047
1314	1.465
1315	1.699
1316	1.007
1317	0.755
1318	0.611
1319	0.808
1320	1.84
1321	1.844
1322	1.585
1323	1.297
1324	1.392
1325	0.897
1326	1.318
1327	0.767
1328	1.053
1329	0.889
1330	1.62
1331	1.655
1332	1.571
1333	1.769
1334	1.233
1335	0.56
1336	0.982
1337	1.046
1338	0.502
1339	1.106
1340	1.007
1341	1.182
1342	0.995
1343	0.834
1344	0.714
1345	0.518
1346	0.606
1347	0.966
1348	0.662
1349	0.734
1350	0.484
1351	0.796
1352	1.067
1353	0.945
1354	1.152
1355	0.793
1356	1.067
1357	1.41
1358	1.154
1359	1.435
1360	0.754
1361	0.894
1362	0.709
1363	0.813
1364	0.944
1365	1.022
1366	1.379
1367	0.864
1368	1.124
1369	0.808
1370	1.392
1371	0.914
1372	1.378
1373	0.967
1374	1.245
1375	0.475
1376	0.734
1377	1.229
1378	1.206
1379	0.992
1380	0.912
1381	0.707
1382	0.888
1383	1.065
1384	1.348
1385	1.271
1386	1.401
1387	0.863
1388	0.662
1389	0.623
1390	0.857
1391	0.944
1392	0.873
1393	1.125
1394	1.056
1395	1.449
1396	1.302
1397	0.986
1398	1.096
1399	0.556
1400	0.814
1401	0.947
1402	0.635
1403	0.632
1404	0.989
1405	1.114
1406	1.396
1407	0.916
1408	1.293
1409	1.442
1410	1.069
1411	1.414
1412	1.346
1413	1.366
1414	1.841
1415	0.978
1416	1.174
1417	1.361
1418	1.615
1419	0.855
1420	1.393
1421	0.331
1422	1.033
1423	0.844
1424	1.062
1425	1.243
1426	0.755
1427	1.167
1428	0.849
1429	1.152
1430	1.391
1431	1.87
1432	0.897
1433	1.055
1434	0.807
1435	0.64
1436	1.1
1437	0.691
1438	0.713
1439	0.679
1440	1.363
1441	1.18
1442	0.529
1443	1.455
1444	0.248
1445	0.889
1446	0.697
1447	1.583
1448	0.622
1449	1.015
1450	0.93
1451	1.518
1452	1.128
1453	0.577
1454	1.057
1455	0.627
1456	0.311
1457	0.763
1458	1.345
1459	0.823
1460	0.224
1461	1.082
1462	1.842
1463	1.501
1464	1.331
1465	0.285
1466	1.195
1467	1.121
1468	0.739
1469	1.213
1470	1.069
1471	0.622
1472	0.663
1473	1.771
1474	0.259
1475	0.462
1476	1.334
1477	1.364
1478	1.329
1479	0.811
1480	1.001
1481	0.843
1482	1.606
1483	1.424
1484	1.974
1485	0.617
1486	2.055
1487	1.375
1488	1.551
1489	1.214
1490	1.26
1491	1.21
1492	1.024
1493	0.861
1494	1.397
1495	0.272
1496	0.344
1497	1.327
1498	1.493
1499	0.707
1500	0.271
1501	1.198
1502	1.378
1503	0.627
1504	1.399
1505	0.125
1506	-0.008
1507	0.931
1508	1.298
1509	0.971
1510	-0.01
1511	1.027
1512	0.709
1513	0.717
1514	1.397
1515	0.783
1516	1.011
1517	1.113
1518	0.302
1519	1.199
1520	0.414
1521	1.781
1522	0.482
1523	1.71
1524	1.356
1525	1.454
1526	1.664
1527	1.371
1528	0.748
1529	0.461
1530	1.06
1531	0.598
1532	-0.012
1533	0.845
1534	0.671
1535	1.139
1536	1.442
1537	1.219
1538	0.833
1539	1.031
1540	1.121
1541	1.349
1542	0.513
1543	0.994
1544	0.803
1545	0.657
1546	1.197
1547	0.877
1548	0.895
1549	1.674
1550	1.164
1551	0.879
1552	0.725
1553	1.501
1554	1.139
1555	1.409
1556	1.134
1557	1.447
1558	0.672
1559	0.945
1560	0.962
1561	1.005
1562	0.867
1563	0.938
1564	1.384
1565	1.127
1566	1.179
1567	0.726
1568	0.65
1569	1.554
1570	0.736
1571	0.807
1572	0.844
1573	0.62
1574	0.597
1575	0.651
1576	0.799
1577	0.965
1578	1.008
1579	0.616
1580	-0.017
1581	0.868
1582	0.606
1583	0.504
1584	0.157
1585	0.047
1586	0.712
1587	0.584
1588	1.118
1589	0.817
1590	0.545
1591	0.538
1592	0.731
1593	0.988
1594	1.279
1595	1.204
1596	1.292
1597	0.874
1598	0.62
1599	0.961
1600	-0.023
1601	1.084
1602	1.096
1603	1.46
1604	1.454
1605	1.646
1606	1.212
1607	0.651
1608	0.8
1609	1.433
1610	1.325
1611	1.033
1612	0.733
1613	0.923
1614	1.07
1615	1.441
1616	1.218
1617	1.371
1618	1.422
1619	1.352
1620	1.284
1621	1.776
1622	0.341
1623	1.345
1624	0.887
1625	1.119
1626	0.678
1627	0.724
1628	0.81
1629	0.846
1630	0.544
1631	0.619
1632	0.182
1633	1.311
1634	0.425
1635	0.715
1636	0.361
1637	0.293
1638	0.401
1639	0.506
1640	0.986
1641	0.778
1642	1.147
1643	0.602
1644	1.016
1645	0.003
1646	0.262
1647	1.007
1648	0.663
1649	0.987
1650	0.996
1651	1.035
1652	0.872
1653	0.22
1654	0.612
1655	0.83
1656	0.621
1657	0.887
1658	0.807
1659	0.759
1660	0.89
1661	0.66
1662	0.992
1663	0.776
1664	1.018
1665	0.398
1666	0.884
1667	0.573
1668	0.744
1669	1.215
1670	0.507
1671	0.653
1672	0.886
1673	1.424
1674	1.335
1675	1.049
1676	1.766
1677	0.676
1678	1.425
1679	1.135
1680	1.518
1681	1.519
1682	1.213
1683	1.71
1684	1.084
1685	0.497
1686	0.237
1687	1.453
1688	1.339
1689	0.677
1690	0.867
1691	0.931
1692	0.885
1693	1.166
1694	0.901
1695	0.743
1696	0.806
1697	0.649
1698	0.861
1699	1.291
1700	0.943
1701	1.098
1702	1.106
1703	1.03
1704	1.022
1705	1.335
1706	1.074
1707	0.711
1708	0.457
1709	1.106
1710	0.745
1711	0.792
1712	0.838
1713	0.523
1714	0.413
1715	1.191
1716	1.093
1717	0.915
1718	1.364
1719	1.301
1720	1.782
1721	0.587
1722	0.692
1723	1.571
1724	0.89
1725	1.406
1726	1.528
1727	1.186
1728	1.384
1729	0.587
1730	1.066
1731	0.933
1732	0.786
1733	1.158
1734	1.382
1735	0.233
1736	0.57
1737	0.866
1738	1.208
1739	1.014
1740	0.562
1741	0.885
1742	0.74
1743	1.1
1744	0.58
1745	0.875
1746	1.283
1747	1.362
1748	0.691
1749	1.163
1750	1.099
1751	0.767
1752	0.696
1753	0.862
1754	0.915
1755	0.856
1756	0.518
1757	0.853
1758	0.941
1759	1.048
1760	0.847
1761	1.269
1762	0.858
1763	0.638
1764	1.298
1765	0.296
1766	1.487
1767	0.943
1768	1.519
1769	1.512
1770	1.579
1771	0.991
1772	0.939
1773	0.351
1774	0.665
1775	1.187
1776	0.945
1777	1.002
1778	0.873
1779	1.008
1780	0.537
1781	1.206
1782	0.145
1783	0.753
1784	1.639
1785	0.853
1786	0.73
1787	1.288
1788	0.888
1789	1.075
1790	1.443
1791	1.244
1792	1.122
1793	0.909
1794	0.876
1795	0.804
1796	1.069
1797	1.348
1798	0.079
1799	1.29
1800	0.443
1801	0.704
1802	1.095
1803	1.095
1804	0.789
1805	1.076
1806	0.408
1807	1.356
1808	0.841
1809	1.149
1810	1.471
1811	1.999
1812	1.099
1813	0.787
1814	0.902
1815	1.428
1816	1.451
1817	1.024
1818	0.877
1819	1.583
1820	0.857
1821	1.152
1822	0.837
1823	0.628
1824	0.276
1825	0.87
1826	0.994
1827	0.927
1828	1.227
1829	0.724
1830	1.188
1831	1.25
1832	1.754
1833	0.84
1834	1.035
1835	1.333
1836	1.189
1837	1.332
1838	1.612
1839	1.388
1840	1.409
1841	1.367
1842	0.459
1843	1.322
1844	0.988
1845	0.326
1846	0.565
1847	0.493
1848	1.029
1849	1.779
1850	1.12
1851	0.623
1852	1.057
1853	1.375
1854	0.958
1855	1.095
1856	0.993
1857	0.994
1858	1.321
1859	1.244
1860	0.914
1861	0.466
1862	1.678
1863	0.864
1864	0.633
1865	0.835
1866	1.433
1867	1.383
1868	1.342
1869	1.097
1870	1.313
1871	0.379
1872	1.259
1873	0.67
1874	0.954
1875	0.954
1876	0.955
1877	0.714
1878	1.064
1879	0.647
1880	0.95
1881	0.642
1882	0.836
1883	0.943
1884	1.39
1885	1.151
1886	0.884
1887	0.732
1888	0.853
1889	0.548
1890	1.317
1891	0.841
1892	0.728
1893	0.584
1894	0.906
1895	1.392
1896	0.464
1897	0.981
1898	1.549
1899	0.906
1900	0.443
1901	1.111
1902	0.311
1903	1.316
1904	1.118
1905	1.034
1906	1.409
1907	1.16
1908	0.956
1909	0.991
1910	1.052
1911	1.055
1912	1.424
1913	1.13
1914	1.631
1915	1.292
1916	1.12
1917	1.28
1918	1.409
1919	1.051
1920	1.687
1921	1.414
1922	0.961
1923	1.178
1924	0.907
1925	0.968
1926	0.828
1927	1.322
1928	1.04
1929	0.902
1930	0.654
1931	0.59
1932	1.206
1933	0.69
1934	0.26
1935	0.568
1936	0.202
1937	0.913
1938	1.038
1939	0.864
1940	0.995
1941	1.242
1942	1.141
1943	1.008
1944	1.032
1945	1.086
1946	0.65
1947	1.531
1948	0.999
1949	1.397
1950	1.056
1951	0.731
1952	1.137
1953	0.868
1954	0.67
1955	0.721
1956	0.132
1957	0.902
1958	0.658
1959	-0.03
1960	0.836
1961	0.39
1962	1.149
1963	0.539
1964	0.529
1965	1.474
1966	0.794
1967	0.864
1968	0.808
1969	1.026
1970	1.308
1971	1.44
1972	0.766
1973	1.572
1974	1.087
1975	1.311
1976	1.131
1977	-0.03
1978	1.202
1979	1.01
1980	0.985
1981	0.996
1982	1.258
1983	1.393
1984	1.441
1985	1.516
1986	1.508
1987	1.375
1988	1.182
1989	0.458
1990	1.018
1991	1.196
1992	1.209
1993	1.228
1994	0.759
1995	1.405
1996	0.908
1997	1.206
1998	1.311
1999	1.233
2000	0.721