ÃÂ¯ÃÂ»ÃÂ¿# northamerica_usa_nv053 - White Horse Summit - 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/4997
#
# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: northamerica_usa_nv053 - White Horse Summit - 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 Horse Summit
#	Location:
#	Country: United States
#	Northernmost_Latitude: 40.4
#	Southernmost_Latitude: 40.4
#	Easternmost_Longitude: -114.22
#	Westernmost_Longitude: -114.22
#	Elevation: 1996 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_nv053B
#	Earliest_Year: 1370
#	Most_Recent_Year: 1982
#	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":"3.73966326964","T2":"16.675625254","M1":"0.023303096729","M2":"0.432959684283"}}
#--------------------
# Species
#	Species_Name: singleleaf pinyon pine
#	Species_Code: PIMO
#--------------------
# Chronology:
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#
#
#--------------------
# 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
1370	0.905
1371	0.959
1372	1.178
1373	1.274
1374	1.084
1375	0.775
1376	0.926
1377	0.781
1378	0.857
1379	0.607
1380	0.723
1381	0.709
1382	0.736
1383	1.36
1384	1.481
1385	1.41
1386	1.642
1387	1.483
1388	0.909
1389	0.861
1390	1.415
1391	1.118
1392	1.07
1393	0.938
1394	1.291
1395	0.798
1396	1.035
1397	0.602
1398	0.606
1399	0.585
1400	0.576
1401	0.618
1402	0.855
1403	0.691
1404	1.012
1405	0.927
1406	1.067
1407	0.534
1408	1.056
1409	1.036
1410	0.765
1411	1.176
1412	0.987
1413	1.022
1414	1.115
1415	1.108
1416	0.53
1417	0.798
1418	1.144
1419	1.091
1420	1.475
1421	1.651
1422	1.401
1423	1.487
1424	1.65
1425	1.437
1426	0.644
1427	0.925
1428	1.388
1429	1.143
1430	0.571
1431	1.004
1432	0.998
1433	0.923
1434	0.556
1435	0.932
1436	0.799
1437	0.781
1438	1.172
1439	0.808
1440	0.653
1441	1.125
1442	1.137
1443	1.279
1444	0.905
1445	1.283
1446	1.015
1447	1.195
1448	0.926
1449	1.197
1450	0.656
1451	1.007
1452	0.975
1453	1.314
1454	1.513
1455	1.299
1456	0.652
1457	1.698
1458	1.514
1459	0.853
1460	0.614
1461	0.968
1462	1.124
1463	1.039
1464	0.532
1465	0.6
1466	0.419
1467	0.586
1468	0.604
1469	0.673
1470	0.81
1471	0.857
1472	1.085
1473	0.935
1474	0.43
1475	0.192
1476	1.332
1477	0.709
1478	0.871
1479	0.527
1480	1.084
1481	1.15
1482	0.852
1483	0.704
1484	0.669
1485	1.073
1486	1.422
1487	0.965
1488	1.214
1489	0.838
1490	1.052
1491	1.393
1492	0.267
1493	1.083
1494	1.506
1495	0.916
1496	0.909
1497	0.996
1498	1.876
1499	0.541
1500	0.871
1501	0.789
1502	1.026
1503	1.084
1504	1.201
1505	0.316
1506	0.553
1507	0.654
1508	1.203
1509	1.334
1510	0.576
1511	1.104
1512	0.773
1513	0.596
1514	0.803
1515	0.613
1516	0.874
1517	0.946
1518	0.122
1519	1.024
1520	1.465
1521	1.61
1522	0.541
1523	0.961
1524	1.245
1525	0.983
1526	0.851
1527	1.154
1528	0.404
1529	0.673
1530	0.638
1531	0.712
1532	0.293
1533	0.75
1534	0.743
1535	1.375
1536	1.475
1537	1.079
1538	1.379
1539	1.015
1540	1.206
1541	1.57
1542	0.909
1543	0.855
1544	0.901
1545	0.556
1546	0.894
1547	0.755
1548	0.858
1549	0.949
1550	1.398
1551	0.981
1552	1.131
1553	0.74
1554	0.813
1555	0.62
1556	1.03
1557	1.405
1558	0.876
1559	1.036
1560	0.973
1561	1.189
1562	0.968
1563	1.377
1564	1.572
1565	1.109
1566	0.975
1567	1.148
1568	1.477
1569	0.973
1570	1.064
1571	0.995
1572	1.253
1573	0.661
1574	1.022
1575	1.126
1576	0.769
1577	1.177
1578	0.875
1579	0.316
1580	-0.02
1581	0.811
1582	1.338
1583	1.215
1584	0.778
1585	1.273
1586	1.297
1587	1.468
1588	1.356
1589	1.212
1590	0.694
1591	1.132
1592	0.553
1593	1.004
1594	1.008
1595	0.596
1596	1.326
1597	0.84
1598	0.514
1599	1.242
1600	0.49
1601	0.866
1602	1.25
1603	1.332
1604	1.26
1605	1.674
1606	1.487
1607	0.328
1608	1.554
1609	1.353
1610	0.858
1611	0.883
1612	1.054
1613	1.149
1614	0.792
1615	1.337
1616	1.194
1617	1.786
1618	1.64
1619	0.968
1620	1.177
1621	1.053
1622	0.797
1623	0.852
1624	1.062
1625	1.305
1626	0.291
1627	0.922
1628	0.702
1629	0.661
1630	0.678
1631	0.609
1632	0.401
1633	1.65
1634	0.802
1635	1.144
1636	0.904
1637	0.309
1638	0.9
1639	1.17
1640	1.455
1641	1.416
1642	1.519
1643	1.165
1644	1.444
1645	0.057
1646	0.679
1647	0.989
1648	1.036
1649	0.822
1650	1.169
1651	1.71
1652	0.966
1653	0.471
1654	1.057
1655	0.476
1656	0.754
1657	0.793
1658	1.035
1659	0.75
1660	0.44
1661	1.066
1662	0.754
1663	1.17
1664	1.142
1665	0.916
1666	1.284
1667	0.774
1668	0.905
1669	1.221
1670	1.05
1671	0.968
1672	0.897
1673	1.077
1674	1.219
1675	1.151
1676	1.159
1677	0.684
1678	0.806
1679	0.93
1680	1.033
1681	0.593
1682	1.099
1683	1.439
1684	0.755
1685	1.306
1686	0.46
1687	1.328
1688	1.257
1689	0.698
1690	0.709
1691	1.014
1692	1.314
1693	1.058
1694	0.723
1695	1.137
1696	1.153
1697	1.249
1698	0.887
1699	1.906
1700	1.038
1701	1.072
1702	1.679
1703	0.72
1704	0.914
1705	1.471
1706	0.758
1707	0.865
1708	0.467
1709	0.609
1710	0.404
1711	0.98
1712	1.017
1713	1.253
1714	0.582
1715	0.943
1716	1.232
1717	0.351
1718	0.775
1719	1.408
1720	1.438
1721	0.405
1722	0.83
1723	1.219
1724	1.457
1725	1.853
1726	2.001
1727	1.658
1728	1.19
1729	0.282
1730	1.27
1731	1.158
1732	1.153
1733	1.19
1734	1.203
1735	0.203
1736	0.946
1737	1.116
1738	1.145
1739	1.253
1740	1.712
1741	0.785
1742	0.891
1743	0.545
1744	0.196
1745	0.727
1746	1.326
1747	1.173
1748	0.059
1749	1.101
1750	1.005
1751	0.623
1752	0.908
1753	0.656
1754	1.129
1755	0.864
1756	0.355
1757	0.479
1758	0.923
1759	0.9
1760	1.313
1761	1.952
1762	1.232
1763	1.091
1764	0.941
1765	0.393
1766	1.026
1767	1.401
1768	1.074
1769	1.118
1770	0.728
1771	0.991
1772	0.217
1773	1.008
1774	0.452
1775	1.576
1776	0.857
1777	0.516
1778	0.154
1779	1.189
1780	0.886
1781	0.792
1782	0.631
1783	1.057
1784	1.183
1785	1.013
1786	1.184
1787	1.069
1788	0.578
1789	1.232
1790	1.432
1791	1.471
1792	1.532
1793	0.665
1794	0.751
1795	0.751
1796	1.311
1797	1.256
1798	0.136
1799	1.789
1800	1.273
1801	0.565
1802	1.21
1803	1.483
1804	0.584
1805	1.494
1806	0.497
1807	0.903
1808	0.247
1809	0.95
1810	1.574
1811	1.619
1812	0.805
1813	0.533
1814	1.082
1815	1.016
1816	1.149
1817	0.793
1818	0.583
1819	1.068
1820	1.202
1821	1.396
1822	0.17
1823	1.041
1824	-0.034
1825	0.979
1826	0.947
1827	1.051
1828	1.463
1829	0.51
1830	1.453
1831	0.681
1832	1.227
1833	1.088
1834	0.142
1835	1.143
1836	1.084
1837	1.472
1838	2.119
1839	2.064
1840	1.729
1841	1.213
1842	0.559
1843	0.093
1844	1.003
1845	0.96
1846	0.37
1847	0.893
1848	0.945
1849	1.253
1850	1.099
1851	1.139
1852	0.793
1853	1.446
1854	1.722
1855	0.679
1856	0.678
1857	1.019
1858	1.047
1859	0.807
1860	0.636
1861	0.663
1862	0.86
1863	-0.034
1864	0.853
1865	0.569
1866	1.658
1867	0.946
1868	1.479
1869	1.16
1870	0.591
1871	0.416
1872	1.138
1873	1.047
1874	0.751
1875	0.453
1876	0.654
1877	0.63
1878	0.976
1879	-0.034
1880	1.25
1881	1.425
1882	1.007
1883	0.898
1884	1.178
1885	1.607
1886	0.591
1887	-0.034
1888	0.453
1889	0.488
1890	0.993
1891	1.273
1892	0.669
1893	0.62
1894	0.675
1895	0.905
1896	0.708
1897	0.993
1898	1.206
1899	0.669
1900	1.01
1901	0.896
1902	0.837
1903	1.21
1904	1.036
1905	1.395
1906	1.555
1907	1.509
1908	1.42
1909	0.704
1910	0.818
1911	1.234
1912	1.083
1913	1.454
1914	2.22
1915	0.899
1916	0.907
1917	1.469
1918	0.868
1919	0.904
1920	1.504
1921	1.265
1922	0.817
1923	1.389
1924	0.681
1925	1.962
1926	0.894
1927	0.656
1928	1.441
1929	1.335
1930	1.577
1931	0.644
1932	1.401
1933	0.677
1934	-0.034
1935	1.046
1936	0.93
1937	1.167
1938	0.973
1939	0.513
1940	0.879
1941	1.409
1942	1.428
1943	0.857
1944	1.119
1945	1.961
1946	0.962
1947	1.463
1948	0.664
1949	0.574
1950	0.878
1951	1.23
1952	0.932
1953	0.371
1954	0.476
1955	0.513
1956	1.19
1957	0.821
1958	0.648
1959	0.244
1960	0.605
1961	0.341
1962	1.392
1963	1.602
1964	1.197
1965	1.103
1966	0.695
1967	1.339
1968	0.858
1969	1.055
1970	1.019
1971	1.549
1972	0.497
1973	1.103
1974	0.653
1975	1.179
1976	0.822
1977	0.738
1978	0.787
1979	0.735
1980	1.33
1981	0.632
1982	1.139