ÃÂ¯ÃÂ»ÃÂ¿# northamerica_usa_ut023 - White Canyon - 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/3116
#
# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: northamerica_usa_ut023 - White Canyon - 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: White Canyon
#	Location:
#	Country: United States
#	Northernmost_Latitude: 37.62
#	Southernmost_Latitude: 37.62
#	Easternmost_Longitude: -110.02
#	Westernmost_Longitude: -110.02
#	Elevation: 1859 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_ut023B
#	Earliest_Year: 1347
#	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":"4.31620232959","T2":"16.6326827413","M1":"0.0231304442493","M2":"0.418245388303"}}
#--------------------
# 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
1347	0.563
1348	0.632
1349	0.61
1350	0.596
1351	0.832
1352	0.933
1353	1.25
1354	0.928
1355	0.718
1356	1.267
1357	1.082
1358	1.02
1359	1.084
1360	1.167
1361	0.859
1362	0.895
1363	0.734
1364	1.11
1365	1.069
1366	1.59
1367	0.959
1368	1.334
1369	1.215
1370	1.318
1371	1.407
1372	1.308
1373	1.25
1374	1.244
1375	0.567
1376	0.67
1377	0.806
1378	0.733
1379	1.066
1380	1.511
1381	1.064
1382	0.81
1383	1.193
1384	0.981
1385	1.303
1386	1.511
1387	1.03
1388	1.112
1389	0.85
1390	0.729
1391	0.783
1392	1.469
1393	1.225
1394	1.248
1395	1.2
1396	0.819
1397	0.984
1398	0.826
1399	0.674
1400	0.933
1401	0.774
1402	0.833
1403	0.697
1404	1.195
1405	1.106
1406	1.118
1407	1.155
1408	0.793
1409	1.106
1410	1.015
1411	0.971
1412	0.993
1413	0.829
1414	1.05
1415	0.943
1416	1.047
1417	1.288
1418	1.435
1419	0.888
1420	1.08
1421	0.707
1422	1.037
1423	0.911
1424	1.262
1425	0.827
1426	0.853
1427	1.098
1428	1.058
1429	1.327
1430	1.101
1431	1.141
1432	1.353
1433	0.993
1434	0.978
1435	0.77
1436	1.093
1437	0.934
1438	0.702
1439	0.608
1440	0.867
1441	0.864
1442	0.685
1443	0.735
1444	0.808
1445	0.844
1446	0.436
1447	0.929
1448	0.642
1449	0.585
1450	0.429
1451	0.876
1452	0.742
1453	0.867
1454	0.845
1455	0.364
1456	0.532
1457	0.677
1458	0.856
1459	0.785
1460	0.671
1461	0.675
1462	0.977
1463	0.981
1464	0.521
1465	1.049
1466	1.12
1467	1.185
1468	1.007
1469	0.994
1470	1.138
1471	0.609
1472	0.551
1473	0.56
1474	0.937
1475	0.806
1476	1.103
1477	1.274
1478	1.149
1479	1.243
1480	0.661
1481	0.722
1482	1.031
1483	1.086
1484	1.473
1485	1.424
1486	1.368
1487	1.084
1488	0.958
1489	1.206
1490	1.084
1491	1.352
1492	1.122
1493	1.226
1494	0.946
1495	0.586
1496	0.54
1497	1.013
1498	1.088
1499	0.772
1500	0.383
1501	0.939
1502	0.836
1503	0.906
1504	1.226
1505	0.941
1506	0.822
1507	0.955
1508	0.932
1509	1.27
1510	0.695
1511	1.059
1512	0.989
1513	1.031
1514	1.107
1515	1.071
1516	1.205
1517	0.905
1518	0.955
1519	1.283
1520	1.217
1521	1.328
1522	0.559
1523	0.655
1524	0.983
1525	0.925
1526	1.195
1527	1.129
1528	1.182
1529	1.373
1530	1.234
1531	1.405
1532	0.361
1533	0.669
1534	0.878
1535	1.01
1536	1.246
1537	1.284
1538	0.659
1539	1.157
1540	1.3
1541	0.986
1542	0.365
1543	0.701
1544	0.696
1545	0.719
1546	0.884
1547	0.682
1548	0.83
1549	0.946
1550	1.409
1551	1.324
1552	1.168
1553	1.361
1554	1.017
1555	1.066
1556	1.247
1557	1.4
1558	1.093
1559	1.404
1560	1.484
1561	1.073
1562	1.057
1563	1.177
1564	1.658
1565	1.618
1566	1.686
1567	1.123
1568	1.444
1569	1.389
1570	1.241
1571	1.219
1572	0.921
1573	0.951
1574	0.936
1575	0.985
1576	0.953
1577	1.117
1578	1.12
1579	0.517
1580	0.643
1581	1.009
1582	0.814
1583	0.746
1584	0.448
1585	0.449
1586	1.192
1587	0.995
1588	1.701
1589	1.155
1590	0.502
1591	1.21
1592	0.828
1593	0.83
1594	1.578
1595	1.044
1596	1.109
1597	0.805
1598	0.865
1599	1.05
1600	0.325
1601	1.079
1602	1.151
1603	1.255
1604	1.104
1605	1.174
1606	1.214
1607	0.654
1608	1.326
1609	1.248
1610	1.349
1611	1.15
1612	1.316
1613	1.252
1614	1.185
1615	1.319
1616	1.577
1617	1.932
1618	1.869
1619	2.058
1620	1.874
1621	1.875
1622	1.511
1623	0.96
1624	0.442
1625	0.693
1626	0.498
1627	0.769
1628	0.746
1629	0.717
1630	0.755
1631	0.753
1632	0.403
1633	0.947
1634	0.989
1635	1
1636	0.836
1637	0.636
1638	0.622
1639	0.752
1640	1.075
1641	1.091
1642	1.122
1643	1.286
1644	1.114
1645	0.882
1646	1.306
1647	1.19
1648	0.469
1649	1.771
1650	1.083
1651	1.511
1652	0.768
1653	1.456
1654	0.244
1655	1.475
1656	1.311
1657	1.315
1658	1.076
1659	0.744
1660	1.131
1661	0.937
1662	0.971
1663	0.774
1664	0.84
1665	0.653
1666	0.87
1667	0.889
1668	0.882
1669	0.742
1670	0.389
1671	0.684
1672	0.924
1673	1.199
1674	1.174
1675	1.148
1676	0.787
1677	0.961
1678	1.31
1679	0.829
1680	1.164
1681	1.26
1682	1.446
1683	1.29
1684	0.836
1685	0.068
1686	0.417
1687	1.231
1688	1.007
1689	0.834
1690	0.751
1691	1.092
1692	1.16
1693	1.276
1694	0.997
1695	1.096
1696	0.775
1697	0.884
1698	0.456
1699	0.785
1700	0.702
1701	1.282
1702	0.965
1703	0.72
1704	0.801
1705	0.901
1706	1.251
1707	0.864
1708	0.978
1709	0.827
1710	1.135
1711	0.893
1712	0.978
1713	1.332
1714	1.186
1715	1.371
1716	1.033
1717	1.191
1718	1.317
1719	1.282
1720	1.694
1721	1.314
1722	0.678
1723	1.153
1724	0.571
1725	1.447
1726	1.287
1727	1.098
1728	0.552
1729	0.205
1730	0.472
1731	0.741
1732	0.754
1733	0.437
1734	1.087
1735	0.307
1736	0.805
1737	0.67
1738	0.907
1739	0.814
1740	0.587
1741	0.777
1742	0.706
1743	0.85
1744	0.981
1745	0.886
1746	1.111
1747	1.484
1748	0.654
1749	1.427
1750	1.061
1751	0.814
1752	0.412
1753	1.058
1754	0.629
1755	0.369
1756	0.763
1757	0.537
1758	0.701
1759	0.691
1760	0.734
1761	0.5
1762	0.769
1763	0.753
1764	0.832
1765	1.01
1766	1.113
1767	1.027
1768	1.332
1769	1.333
1770	0.995
1771	1.369
1772	0.938
1773	0.343
1774	0.695
1775	1.08
1776	1.026
1777	0.82
1778	0.908
1779	0.84
1780	0.231
1781	0.983
1782	0.799
1783	1.051
1784	0.769
1785	0.837
1786	0.751
1787	0.951
1788	0.578
1789	0.6
1790	0.302
1791	0.963
1792	0.988
1793	1.142
1794	0.787
1795	0.894
1796	1.146
1797	1.236
1798	1.071
1799	1.084
1800	1.194
1801	0.698
1802	1.261
1803	0.807
1804	0.837
1805	0.562
1806	0.575
1807	0.901
1808	0.714
1809	0.858
1810	0.505
1811	0.742
1812	0.827
1813	0.326
1814	0.785
1815	1.031
1816	1.172
1817	1.314
1818	0.645
1819	0.502
1820	0.725
1821	1.232
1822	0.882
1823	0.905
1824	1.132
1825	1.122
1826	1.231
1827	1.022
1828	1.271
1829	1.153
1830	1.148
1831	0.948
1832	1.446
1833	1.559
1834	1.291
1835	1.528
1836	1.332
1837	1.467
1838	1.412
1839	1.287
1840	1.506
1841	1.392
1842	1.327
1843	1.204
1844	1.474
1845	0.566
1846	1.519
1847	0.692
1848	1.312
1849	1.315
1850	1.306
1851	0.361
1852	1.514
1853	1.225
1854	1.112
1855	1.571
1856	1.476
1857	1.157
1858	1.631
1859	0.69
1860	1.088
1861	-0.031
1862	1.505
1863	1.164
1864	0.544
1865	1.062
1866	1.238
1867	1.22
1868	1.078
1869	1.399
1870	1.024
1871	1.055
1872	0.913
1873	0.824
1874	0.98
1875	0.758
1876	0.727
1877	1.099
1878	1.029
1879	0.947
1880	0.867
1881	0.844
1882	0.938
1883	0.697
1884	1.118
1885	1.067
1886	0.971
1887	0.757
1888	1.055
1889	1.067
1890	1.035
1891	1.06
1892	1.119
1893	0.805
1894	0.51
1895	0.835
1896	0.27
1897	1.002
1898	0.853
1899	0.184
1900	0.64
1901	0.792
1902	0.299
1903	0.724
1904	0.332
1905	0.825
1906	0.785
1907	0.95
1908	1.105
1909	1.254
1910	1.306
1911	1.318
1912	1.588
1913	1.189
1914	1.749
1915	1.676
1916	1.44
1917	1.793
1918	0.929
1919	1.251
1920	1.376
1921	1.12
1922	1.539
1923	0.801
1924	0.792
1925	0.931
1926	1.286
1927	1.025
1928	1.33
1929	1.221
1930	0.902
1931	0.703
1932	1.258
1933	1.045
1934	0.733
1935	0.935
1936	0.782
1937	1.022
1938	1.054
1939	1.097
1940	1.212
1941	1.454
1942	1.721
1943	1.023
1944	1.447
1945	1.137
1946	0.869
1947	0.79
1948	1.235
1949	1.505
1950	1.201
1951	0.226
1952	1.112
1953	0.693
1954	1.024
1955	0.791
1956	0.558
1957	0.834
1958	0.907
1959	0.202
1960	0.749
1961	0.66
1962	0.69
1963	0.612
1964	0.735
1965	0.857
1966	0.96
1967	0.805
1968	0.77
1969	0.915
1970	1.051
1971	0.597
1972	0.903