ÃÂ¯ÃÂ»ÃÂ¿# northamerica_usa_co610 - McPhee - 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/5314
#
# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: northamerica_usa_co610 - McPhee - 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: McPhee
#	Location:
#	Country: United States
#	Northernmost_Latitude: 37.58
#	Southernmost_Latitude: 37.58
#	Easternmost_Longitude: -108.58
#	Westernmost_Longitude: -108.58
#	Elevation: 2195 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_co610B
#	Earliest_Year: 1270
#	Most_Recent_Year: 2002
#	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":"3.87661904512","T2":"16.4748781539","M1":"0.022727317004","M2":"0.484821886053"}}
#--------------------
# 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	0.755
1271	0.677
1272	0.363
1273	0.246
1274	0.469
1275	0.733
1276	0.483
1277	0.642
1278	0.59
1279	0.604
1280	0.631
1281	0.605
1282	1.284
1283	0.646
1284	0.7
1285	0.487
1286	0.675
1287	0.394
1288	0.3
1289	0.704
1290	0.952
1291	0.746
1292	0.418
1293	0.551
1294	0.444
1295	0.311
1296	0.71
1297	0.886
1298	1.005
1299	0.722
1300	0.795
1301	1.081
1302	1.131
1303	0.979
1304	1.048
1305	1.33
1306	0.918
1307	0.596
1308	0.902
1309	1.005
1310	1.024
1311	1.268
1312	1.369
1313	1.303
1314	1.099
1315	1.152
1316	0.447
1317	0.629
1318	1.024
1319	1.29
1320	0.946
1321	1.296
1322	1.079
1323	1.102
1324	0.768
1325	1.329
1326	1.506
1327	1.319
1328	1.159
1329	1.557
1330	1.374
1331	1.716
1332	1.238
1333	1.536
1334	1.352
1335	1.064
1336	1.158
1337	1.29
1338	0.485
1339	0.929
1340	0.787
1341	0.933
1342	1.052
1343	0.902
1344	0.742
1345	0.918
1346	1.113
1347	0.909
1348	0.934
1349	1.287
1350	0.822
1351	0.92
1352	0.466
1353	1.317
1354	1.092
1355	0.542
1356	1.2
1357	1.386
1358	1.054
1359	0.91
1360	0.614
1361	0.727
1362	0.592
1363	0.844
1364	0.468
1365	0.708
1366	0.813
1367	0.841
1368	1.037
1369	0.748
1370	1.179
1371	0.743
1372	0.872
1373	0.754
1374	0.95
1375	0.537
1376	0.503
1377	0.69
1378	0.943
1379	0.979
1380	0.992
1381	0.988
1382	0.949
1383	0.843
1384	1.133
1385	1.021
1386	0.966
1387	1.132
1388	1.043
1389	0.956
1390	0.408
1391	0.815
1392	0.937
1393	0.868
1394	0.98
1395	1.158
1396	1.388
1397	1.412
1398	1.084
1399	0.609
1400	0.734
1401	1.231
1402	0.784
1403	1.145
1404	1.578
1405	1.808
1406	1.34
1407	1.093
1408	1.292
1409	1.257
1410	0.753
1411	0.796
1412	0.885
1413	0.738
1414	1.531
1415	1.303
1416	0.904
1417	1.1
1418	1.045
1419	1.107
1420	1.18
1421	0.986
1422	0.971
1423	0.575
1424	1.224
1425	0.756
1426	1.417
1427	1.306
1428	1.333
1429	1.064
1430	1.176
1431	1.747
1432	1.195
1433	1.328
1434	1.558
1435	1.058
1436	0.891
1437	0.886
1438	0.898
1439	1.061
1440	1.322
1441	1.586
1442	0.825
1443	0.877
1444	0.794
1445	0.943
1446	0.995
1447	1.511
1448	1.273
1449	0.691
1450	0.669
1451	1.278
1452	1.003
1453	1.241
1454	1.128
1455	0.454
1456	0.489
1457	0.706
1458	1.306
1459	1.202
1460	0.611
1461	0.515
1462	1.258
1463	0.988
1464	0.301
1465	0.634
1466	1.19
1467	1.125
1468	0.868
1469	0.815
1470	0.793
1471	0.534
1472	0.51
1473	0.699
1474	1.065
1475	0.71
1476	1.089
1477	1.144
1478	1.332
1479	0.822
1480	0.762
1481	0.817
1482	1.265
1483	0.875
1484	1.395
1485	1.247
1486	1.051
1487	0.762
1488	0.992
1489	0.848
1490	1.018
1491	1.276
1492	1.233
1493	1.176
1494	1.304
1495	0.562
1496	0.969
1497	1.133
1498	1.395
1499	0.907
1500	-0.012
1501	0.76
1502	1.144
1503	1.298
1504	1.073
1505	0.474
1506	0.438
1507	0.882
1508	0.922
1509	1.395
1510	1.167
1511	0.975
1512	1.144
1513	1.295
1514	1.256
1515	0.713
1516	0.813
1517	0.824
1518	0.907
1519	1.124
1520	1.088
1521	1.405
1522	0.778
1523	0.975
1524	1.112
1525	1.312
1526	1.085
1527	1.038
1528	0.754
1529	0.788
1530	1.088
1531	0.928
1532	0.252
1533	0.776
1534	0.957
1535	0.858
1536	1.205
1537	1.239
1538	0.895
1539	1.077
1540	1.071
1541	1.186
1542	0.214
1543	0.93
1544	0.972
1545	0.609
1546	0.925
1547	0.791
1548	0.796
1549	0.963
1550	0.837
1551	0.521
1552	0.925
1553	1.093
1554	0.87
1555	0.893
1556	1.126
1557	1.309
1558	0.915
1559	0.694
1560	0.943
1561	0.922
1562	0.752
1563	0.912
1564	1.032
1565	1.271
1566	1.25
1567	0.799
1568	1.104
1569	1.125
1570	1.203
1571	1.098
1572	1.091
1573	0.589
1574	0.599
1575	0.892
1576	0.748
1577	0.993
1578	0.904
1579	0.541
1580	0.368
1581	0.961
1582	0.782
1583	0.643
1584	0.304
1585	0.159
1586	1.069
1587	1.125
1588	1.062
1589	1.191
1590	0.543
1591	0.863
1592	0.837
1593	1.04
1594	1.319
1595	1.169
1596	1.396
1597	1.2
1598	1.065
1599	1.414
1600	0.605
1601	1.047
1602	1.233
1603	1.044
1604	1.207
1605	1.335
1606	1.294
1607	0.982
1608	1.152
1609	1.19
1610	1.296
1611	1.167
1612	0.899
1613	1.124
1614	1.129
1615	1.259
1616	1.11
1617	1.29
1618	1.457
1619	1.166
1620	1.261
1621	1.346
1622	0.931
1623	0.615
1624	0.641
1625	0.734
1626	0.407
1627	0.984
1628	0.762
1629	0.864
1630	1.067
1631	0.812
1632	0.286
1633	1.179
1634	1.162
1635	1.252
1636	1.015
1637	1.028
1638	0.903
1639	0.85
1640	1.34
1641	1.207
1642	1.175
1643	1.328
1644	1.205
1645	0.988
1646	1.113
1647	1.119
1648	0.867
1649	1.098
1650	1.257
1651	1.349
1652	0.836
1653	0.959
1654	0.478
1655	0.793
1656	0.725
1657	0.642
1658	0.746
1659	0.943
1660	1.085
1661	0.987
1662	1.109
1663	1.159
1664	1.122
1665	1.001
1666	0.598
1667	0.591
1668	0.68
1669	1.12
1670	0.683
1671	0.944
1672	1.266
1673	1.275
1674	1.214
1675	0.923
1676	0.939
1677	0.884
1678	1.114
1679	0.953
1680	1.122
1681	1.193
1682	0.937
1683	1.271
1684	0.798
1685	0.148
1686	0.718
1687	1.045
1688	1.111
1689	1.153
1690	1.265
1691	1.094
1692	1.273
1693	1.256
1694	0.945
1695	1.214
1696	0.863
1697	1.072
1698	1.18
1699	1.378
1700	0.895
1701	1.416
1702	0.985
1703	0.826
1704	1.028
1705	1.376
1706	1.204
1707	0.852
1708	0.713
1709	1.21
1710	1.111
1711	1.244
1712	0.849
1713	0.788
1714	0.749
1715	1.193
1716	1.114
1717	1.009
1718	1.411
1719	1.183
1720	1.701
1721	0.997
1722	0.771
1723	0.913
1724	0.812
1725	1.361
1726	1.327
1727	1.245
1728	1.07
1729	0.39
1730	1.061
1731	0.655
1732	1.029
1733	0.691
1734	1.296
1735	-0.019
1736	0.796
1737	0.933
1738	1.19
1739	0.777
1740	0.849
1741	1.155
1742	0.858
1743	1.294
1744	0.895
1745	1.151
1746	1.198
1747	1.061
1748	0.287
1749	1.128
1750	0.696
1751	0.943
1752	0.802
1753	0.903
1754	0.702
1755	0.309
1756	0.745
1757	0.568
1758	0.7
1759	0.809
1760	0.91
1761	0.702
1762	0.897
1763	0.719
1764	1.14
1765	0.511
1766	1.12
1767	1.002
1768	0.958
1769	0.859
1770	0.935
1771	1.247
1772	1.079
1773	0.451
1774	0.828
1775	1.06
1776	0.922
1777	1.059
1778	0.519
1779	0.931
1780	0.571
1781	0.966
1782	0.564
1783	1.046
1784	1.424
1785	1.286
1786	1.024
1787	1.473
1788	0.573
1789	0.86
1790	0.775
1791	1.408
1792	1.132
1793	1.286
1794	0.969
1795	1.169
1796	0.901
1797	1.285
1798	0.998
1799	1.37
1800	1.141
1801	0.891
1802	1.386
1803	0.914
1804	1.26
1805	0.638
1806	0.982
1807	1.16
1808	0.824
1809	0.624
1810	0.902
1811	1.273
1812	0.949
1813	0.468
1814	0.82
1815	1.074
1816	1.329
1817	1.082
1818	0.401
1819	0.352
1820	0.293
1821	1.056
1822	0.45
1823	0.339
1824	0.663
1825	0.967
1826	1.154
1827	0.929
1828	1.41
1829	1.069
1830	1.096
1831	0.94
1832	1.273
1833	1.241
1834	0.776
1835	1.159
1836	1.109
1837	1.156
1838	1.471
1839	1.497
1840	1.23
1841	1.21
1842	0.621
1843	0.877
1844	1.228
1845	0.691
1846	0.968
1847	0.175
1848	0.928
1849	1.767
1850	1.414
1851	0.419
1852	1.313
1853	1.459
1854	1.008
1855	1.038
1856	1.13
1857	0.986
1858	1.223
1859	0.773
1860	1.11
1861	0.237
1862	1.467
1863	0.98
1864	0.396
1865	1.133
1866	1.409
1867	1.443
1868	1.534
1869	1.499
1870	0.958
1871	0.776
1872	0.867
1873	0.766
1874	0.981
1875	0.961
1876	0.551
1877	1.047
1878	0.671
1879	-0.037
1880	0.676
1881	0.397
1882	0.59
1883	0.373
1884	0.913
1885	1.098
1886	0.911
1887	0.512
1888	1.038
1889	0.962
1890	1.342
1891	1.235
1892	0.906
1893	0.508
1894	0.37
1895	0.605
1896	0.199
1897	1.033
1898	0.777
1899	-0.053
1900	0.584
1901	1.045
1902	0.173
1903	0.92
1904	0.144
1905	1.31
1906	1.155
1907	1.213
1908	0.973
1909	1.148
1910	0.85
1911	1.437
1912	1.371
1913	1.108
1914	1.843
1915	1.565
1916	1.603
1917	1.533
1918	1.126
1919	0.874
1920	1.726
1921	1.441
1922	1.287
1923	0.954
1924	1.133
1925	0.624
1926	1.419
1927	1.115
1928	1.187
1929	1.3
1930	1.259
1931	0.861
1932	1.417
1933	0.859
1934	0.759
1935	1.059
1936	0.893
1937	1.165
1938	1.25
1939	0.663
1940	0.809
1941	1.423
1942	1.382
1943	1.124
1944	0.869
1945	0.911
1946	0.559
1947	1
1948	1
1949	1.08
1950	0.69
1951	0.539
1952	1.398
1953	0.697
1954	1.119
1955	0.849
1956	0.703
1957	1.503
1958	1.363
1959	0.602
1960	1.335
1961	0.718
1962	0.94
1963	0.919
1964	0.784
1965	1.344
1966	1.151
1967	0.849
1968	0.617
1969	1.031
1970	0.787
1971	1.16
1972	0.79
1973	1.433
1974	0.972
1975	1.421
1976	0.921
1977	0.18
1978	1.417
1979	1.435
1980	1.361
1981	0.895
1982	0.99
1983	1.503
1984	1.171
1985	1.433
1986	1.609
1987	1.497
1988	1.293
1989	0.758
1990	0.662
1991	0.861
1992	1.23
1993	1.31
1994	0.888
1995	1.521
1996	0.449
1997	1.495
1998	0.988
1999	1.302
2000	0.687
2001	0.662
2002	-0.043