ÃÂ¯ÃÂ»ÃÂ¿# northamerica_usa_wy031 - Encampment - 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/5301
#
# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: northamerica_usa_wy031 - Encampment - 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: Encampment
#	Location:
#	Country: United States
#	Northernmost_Latitude: 41.15
#	Southernmost_Latitude: 41.15
#	Easternmost_Longitude: -106.78
#	Westernmost_Longitude: -106.78
#	Elevation: 2500 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_wy031B
#	Earliest_Year: 1380
#	Most_Recent_Year: 2001
#	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":"2.75417559365","T2":"14.5267159785","M1":"0.0234901996045","M2":"0.551022136968"}}
#--------------------
# 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
1380	0.605
1381	0.716
1382	0.547
1383	0.909
1384	0.828
1385	1.017
1386	0.834
1387	0.685
1388	0.886
1389	1.099
1390	0.562
1391	1.026
1392	0.846
1393	1.239
1394	1.354
1395	1.403
1396	1.302
1397	0.751
1398	1.024
1399	0.659
1400	0.831
1401	0.696
1402	1.172
1403	0.967
1404	1.409
1405	1.203
1406	0.981
1407	0.809
1408	1.312
1409	0.961
1410	0.588
1411	0.909
1412	1.225
1413	0.84
1414	1.445
1415	1.143
1416	1.206
1417	0.951
1418	1.711
1419	1.11
1420	1.442
1421	1.162
1422	1.17
1423	0.737
1424	1.303
1425	1.114
1426	0.882
1427	0.832
1428	1.04
1429	0.743
1430	1.04
1431	0.947
1432	0.887
1433	1.134
1434	1.172
1435	1.163
1436	0.961
1437	0.817
1438	0.856
1439	1.264
1440	1.337
1441	1.15
1442	0.647
1443	1.197
1444	0.711
1445	0.711
1446	1.173
1447	0.896
1448	0.815
1449	1.255
1450	0.738
1451	0.967
1452	0.7
1453	0.319
1454	0.808
1455	0.857
1456	0.768
1457	1.021
1458	0.774
1459	0.539
1460	0.804
1461	0.684
1462	1.341
1463	1.638
1464	1.438
1465	1.176
1466	0.666
1467	0.801
1468	0.84
1469	0.818
1470	1.039
1471	0.813
1472	1.108
1473	1.292
1474	0.826
1475	0.526
1476	0.979
1477	0.775
1478	0.712
1479	0.795
1480	0.979
1481	0.689
1482	1.274
1483	0.83
1484	1.392
1485	1.138
1486	1.434
1487	1.291
1488	0.995
1489	0.768
1490	1.252
1491	1.263
1492	1.289
1493	0.731
1494	1.035
1495	0.88
1496	0.255
1497	1.183
1498	1.044
1499	1.41
1500	0.681
1501	0.724
1502	1.378
1503	1.117
1504	1.316
1505	1.023
1506	0.88
1507	1.242
1508	0.746
1509	0.948
1510	1.251
1511	0.929
1512	1.101
1513	0.537
1514	1.25
1515	1.044
1516	0.888
1517	0.857
1518	1.297
1519	1.091
1520	0.842
1521	1.714
1522	0.828
1523	1.04
1524	1.533
1525	1.443
1526	0.886
1527	0.894
1528	0.635
1529	0.972
1530	1.073
1531	0.917
1532	0.718
1533	0.549
1534	0.853
1535	1.075
1536	1.226
1537	1.099
1538	0.746
1539	1.442
1540	1.495
1541	1.271
1542	0.197
1543	0.559
1544	0.812
1545	0.807
1546	1.103
1547	1.048
1548	1.493
1549	1.915
1550	1.71
1551	0.701
1552	0.878
1553	1.325
1554	1.303
1555	1.468
1556	1.526
1557	1.083
1558	0.991
1559	1.106
1560	1.08
1561	1.071
1562	1.133
1563	1.048
1564	1.534
1565	1.436
1566	1.209
1567	0.882
1568	0.604
1569	1.179
1570	1.004
1571	0.687
1572	0.916
1573	0.845
1574	1.238
1575	0.802
1576	1.006
1577	1.186
1578	1.169
1579	0.491
1580	0.705
1581	0.705
1582	0.835
1583	0.81
1584	0.455
1585	0.68
1586	0.884
1587	0.729
1588	0.653
1589	0.86
1590	0.556
1591	0.724
1592	0.754
1593	0.818
1594	1.179
1595	0.724
1596	0.836
1597	0.911
1598	0.743
1599	0.878
1600	0.375
1601	0.864
1602	1.072
1603	1.179
1604	1.478
1605	1.197
1606	0.928
1607	0.605
1608	0.847
1609	0.912
1610	1.063
1611	0.926
1612	0.78
1613	0.82
1614	0.951
1615	1.393
1616	0.949
1617	1.203
1618	1.053
1619	1.231
1620	0.949
1621	1.182
1622	0.681
1623	1.181
1624	1.097
1625	1.255
1626	1.182
1627	0.841
1628	1.204
1629	1.33
1630	0.958
1631	0.885
1632	1.033
1633	1.462
1634	0.844
1635	1.274
1636	1.419
1637	0.853
1638	0.878
1639	1.198
1640	1.225
1641	0.525
1642	1.014
1643	0.396
1644	1.088
1645	0.405
1646	0.56
1647	1.074
1648	0.999
1649	1.005
1650	0.896
1651	1.126
1652	1.143
1653	0.614
1654	0.42
1655	1.197
1656	0.95
1657	0.702
1658	0.529
1659	0.906
1660	0.63
1661	1.008
1662	0.638
1663	0.828
1664	0.98
1665	0.645
1666	0.98
1667	0.4
1668	0.565
1669	0.865
1670	0.666
1671	1.061
1672	1.159
1673	1.068
1674	0.931
1675	0.579
1676	1.67
1677	1.377
1678	1.347
1679	1.685
1680	1.682
1681	1.048
1682	1.022
1683	1.565
1684	1.225
1685	0.407
1686	0.532
1687	1.142
1688	1.074
1689	0.833
1690	1.169
1691	0.883
1692	0.969
1693	0.64
1694	1.08
1695	0.69
1696	0.671
1697	0.957
1698	0.783
1699	1.089
1700	1.254
1701	1.458
1702	1.474
1703	1.065
1704	0.973
1705	0.87
1706	0.613
1707	1.352
1708	0.591
1709	0.69
1710	0.787
1711	0.343
1712	0.398
1713	0.902
1714	0.816
1715	0.658
1716	0.661
1717	0.823
1718	0.992
1719	1.215
1720	1.576
1721	1.267
1722	1.15
1723	1.288
1724	0.974
1725	0.724
1726	1.767
1727	1.028
1728	1.063
1729	1.093
1730	0.861
1731	1.164
1732	0.98
1733	0.935
1734	1.191
1735	1.045
1736	0.206
1737	0.934
1738	0.899
1739	0.779
1740	0.668
1741	1.065
1742	0.694
1743	0.873
1744	0.662
1745	0.724
1746	0.958
1747	1.135
1748	1.214
1749	0.823
1750	1.055
1751	0.859
1752	1.315
1753	0.943
1754	0.941
1755	0.928
1756	1.087
1757	0.799
1758	0.82
1759	0.815
1760	0.698
1761	1.066
1762	1.01
1763	0.635
1764	1.164
1765	1.298
1766	1.273
1767	0.866
1768	1.484
1769	1.488
1770	1.171
1771	1.595
1772	0.976
1773	1.153
1774	0.95
1775	0.93
1776	0.969
1777	0.467
1778	1.251
1779	0.827
1780	1.139
1781	1.147
1782	0.988
1783	0.767
1784	1.002
1785	1.164
1786	0.957
1787	0.776
1788	0.757
1789	0.33
1790	1.26
1791	0.935
1792	1.457
1793	0.941
1794	1.473
1795	1.051
1796	1.346
1797	1.571
1798	0.193
1799	1.746
1800	1.275
1801	0.962
1802	1.286
1803	1.105
1804	0.751
1805	-0.016
1806	1.426
1807	0.896
1808	0.874
1809	0.45
1810	0.719
1811	1.132
1812	1.252
1813	1.07
1814	0.9
1815	0.842
1816	0.827
1817	0.873
1818	0.899
1819	0.964
1820	0.655
1821	1.161
1822	1.392
1823	0.944
1824	0.645
1825	0.911
1826	1.034
1827	0.975
1828	1.074
1829	0.592
1830	0.99
1831	1.27
1832	1.214
1833	1.029
1834	1.18
1835	1.134
1836	1.295
1837	1.387
1838	1.821
1839	2.106
1840	1.611
1841	1.717
1842	0.249
1843	2.507
1844	1.644
1845	0.302
1846	1.213
1847	0.662
1848	0.842
1849	1.101
1850	1.17
1851	0.559
1852	0.925
1853	1.238
1854	1.148
1855	0.289
1856	0.734
1857	0.773
1858	1.012
1859	1.052
1860	0.701
1861	1.123
1862	1.218
1863	0.623
1864	0.932
1865	0.845
1866	1.88
1867	1.76
1868	1.125
1869	1.566
1870	1.077
1871	0.32
1872	0.961
1873	0.913
1874	0.153
1875	0.937
1876	1.09
1877	0.697
1878	0.926
1879	0.716
1880	0.788
1881	0.804
1882	0.873
1883	1.028
1884	1.251
1885	1.046
1886	0.337
1887	0.566
1888	0.727
1889	1.152
1890	0.521
1891	0.74
1892	0.804
1893	0.59
1894	0.688
1895	1.01
1896	0.736
1897	0.979
1898	0.818
1899	0.784
1900	1.028
1901	0.88
1902	0.164
1903	1.098
1904	0.864
1905	0.863
1906	1.034
1907	1.489
1908	0.761
1909	1.284
1910	1.007
1911	1.451
1912	1.199
1913	1.21
1914	1.265
1915	0.969
1916	1.073
1917	1.187
1918	1.171
1919	0.907
1920	0.678
1921	1.292
1922	1.145
1923	0.959
1924	0.852
1925	0.97
1926	1.422
1927	1.326
1928	1.568
1929	1.468
1930	0.584
1931	1.471
1932	1.122
1933	0.865
1934	0.54
1935	0.919
1936	0.568
1937	1.148
1938	1.026
1939	0.538
1940	0.626
1941	0.994
1942	1.119
1943	1.061
1944	0.578
1945	1.102
1946	0.918
1947	1.259
1948	0.722
1949	1.086
1950	1.059
1951	1.123
1952	0.997
1953	0.732
1954	0.616
1955	0.355
1956	0.737
1957	0.959
1958	0.558
1959	0.424
1960	0.798
1961	0.59
1962	0.834
1963	0.601
1964	0.529
1965	0.891
1966	1.085
1967	1.095
1968	1.016
1969	0.903
1970	1.126
1971	1.218
1972	0.925
1973	1.092
1974	1.371
1975	1.415
1976	1.468
1977	0.87
1978	0.989
1979	0.987
1980	1.011
1981	0.871
1982	1.17
1983	1.512
1984	1.417
1985	0.89
1986	1.518
1987	1.189
1988	1.238
1989	0.522
1990	1.028
1991	0.924
1992	0.8
1993	1.133
1994	0.848
1995	1.036
1996	1.483
1997	1.305
1998	1.573
1999	1.758
2000	1.217
2001	1.294