ÃÂ¯ÃÂ»ÃÂ¿# northamerica_usa_co612 - Montrose - 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/5318
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# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: northamerica_usa_co612 - Montrose - 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: Montrose
#	Location:
#	Country: United States
#	Northernmost_Latitude: 38.38
#	Southernmost_Latitude: 38.38
#	Easternmost_Longitude: -108.02
#	Westernmost_Longitude: -108.02
#	Elevation: 2286 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_co612B
#	Earliest_Year: 1440
#	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":"3.81813755795","T2":"15.7798566595","M1":"0.0234306413112","M2":"0.500873442179"}}
#--------------------
# 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
1440	0.726
1441	0.817
1442	0.418
1443	0.689
1444	0.743
1445	0.74
1446	0.86
1447	0.82
1448	0.76
1449	0.692
1450	0.744
1451	1.125
1452	1.123
1453	1.002
1454	0.799
1455	0.719
1456	0.702
1457	0.923
1458	0.792
1459	0.697
1460	0.64
1461	0.695
1462	1.389
1463	1.269
1464	0.922
1465	0.949
1466	1.377
1467	1.392
1468	1.705
1469	1.243
1470	1.447
1471	1.126
1472	0.787
1473	1.133
1474	0.994
1475	0.995
1476	1.248
1477	1.164
1478	1.302
1479	0.777
1480	0.878
1481	0.87
1482	0.862
1483	0.872
1484	1.358
1485	1.549
1486	1.175
1487	1.006
1488	0.968
1489	1.29
1490	1.78
1491	1.755
1492	1.408
1493	0.794
1494	1.022
1495	0.681
1496	0.443
1497	0.609
1498	1.024
1499	0.782
1500	0.431
1501	0.892
1502	1.041
1503	1.407
1504	1.135
1505	0.753
1506	0.263
1507	0.722
1508	1.198
1509	1.369
1510	1.101
1511	1.159
1512	0.96
1513	1.158
1514	1.531
1515	1.124
1516	0.934
1517	1.173
1518	1.015
1519	1.09
1520	0.715
1521	1.14
1522	0.88
1523	1.085
1524	1.277
1525	1.046
1526	0.999
1527	0.889
1528	0.862
1529	0.866
1530	1.1
1531	0.95
1532	0.768
1533	0.878
1534	1.337
1535	1.313
1536	1.418
1537	1.582
1538	1.007
1539	1.179
1540	1.291
1541	1.185
1542	0.392
1543	0.871
1544	0.57
1545	0.545
1546	1.232
1547	1.07
1548	0.986
1549	1.278
1550	0.974
1551	0.577
1552	0.838
1553	0.905
1554	0.789
1555	0.97
1556	0.998
1557	1.121
1558	0.785
1559	0.975
1560	1.274
1561	1.037
1562	0.992
1563	1.119
1564	1.086
1565	1.48
1566	1.058
1567	0.836
1568	1.032
1569	0.958
1570	0.854
1571	1.058
1572	1.004
1573	0.771
1574	0.543
1575	0.714
1576	0.768
1577	1.213
1578	0.823
1579	0.753
1580	0.187
1581	0.754
1582	0.765
1583	0.684
1584	0.223
1585	0.564
1586	0.762
1587	0.969
1588	0.926
1589	1.056
1590	0.38
1591	0.766
1592	0.581
1593	0.565
1594	0.84
1595	1.489
1596	1.654
1597	1.085
1598	0.627
1599	1.085
1600	0.618
1601	1.04
1602	1.211
1603	1.211
1604	1.601
1605	1.677
1606	1.926
1607	1.231
1608	1.435
1609	1.27
1610	1.584
1611	1.479
1612	1.436
1613	1.773
1614	1.549
1615	1.698
1616	1.214
1617	1.519
1618	1.644
1619	1.296
1620	1.307
1621	1.318
1622	0.939
1623	0.698
1624	0.946
1625	0.703
1626	0.533
1627	1.06
1628	1.067
1629	0.923
1630	1.31
1631	0.9
1632	0.692
1633	1.119
1634	0.801
1635	1.455
1636	1.18
1637	0.946
1638	0.784
1639	1.006
1640	1.004
1641	1.073
1642	1.227
1643	1.265
1644	1.334
1645	0.931
1646	0.91
1647	1.043
1648	1.013
1649	0.974
1650	1.276
1651	1.327
1652	0.605
1653	1.068
1654	0.313
1655	1.337
1656	0.998
1657	1.067
1658	0.786
1659	1.147
1660	1.312
1661	0.676
1662	1.113
1663	0.664
1664	0.341
1665	0.882
1666	0.792
1667	0.66
1668	0.398
1669	1.224
1670	0.732
1671	1.115
1672	1.191
1673	0.967
1674	0.907
1675	0.599
1676	0.955
1677	1.144
1678	1.517
1679	1.372
1680	1.634
1681	1.561
1682	1.077
1683	1.164
1684	0.516
1685	0.285
1686	0.884
1687	0.846
1688	0.844
1689	1.225
1690	1.219
1691	1.317
1692	1.115
1693	1.37
1694	0.76
1695	0.928
1696	0.908
1697	0.97
1698	1.32
1699	1.156
1700	0.583
1701	1.358
1702	1.114
1703	1.063
1704	1.14
1705	1.452
1706	0.953
1707	0.993
1708	0.747
1709	1.456
1710	1.089
1711	1.329
1712	1.276
1713	1.25
1714	0.229
1715	1.016
1716	1.146
1717	1.026
1718	1.234
1719	0.916
1720	1.872
1721	1.149
1722	0.515
1723	0.333
1724	0.635
1725	1.116
1726	1.172
1727	0.993
1728	0.961
1729	0.382
1730	1.09
1731	0.687
1732	1.006
1733	0.839
1734	1.364
1735	0.362
1736	0.766
1737	0.673
1738	0.986
1739	1.158
1740	0.758
1741	1.179
1742	0.815
1743	1.237
1744	0.864
1745	1.274
1746	1.359
1747	1.601
1748	0.232
1749	1.084
1750	0.554
1751	0.763
1752	0.448
1753	1.138
1754	0.852
1755	0.948
1756	0.681
1757	0.641
1758	0.879
1759	0.406
1760	1.06
1761	0.919
1762	0.718
1763	0.345
1764	1.07
1765	0.41
1766	0.743
1767	0.333
1768	1.186
1769	0.725
1770	0.687
1771	1.067
1772	0.521
1773	-0.015
1774	0.453
1775	0.635
1776	0.347
1777	0.648
1778	-0.028
1779	0.803
1780	0.605
1781	0.691
1782	0.641
1783	0.883
1784	1.352
1785	1.017
1786	0.861
1787	1.207
1788	0.636
1789	0.603
1790	1.168
1791	1.306
1792	0.952
1793	0.869
1794	0.761
1795	0.499
1796	0.718
1797	1.434
1798	0.337
1799	1.023
1800	0.81
1801	0.481
1802	0.827
1803	0.368
1804	0.765
1805	0.416
1806	0.483
1807	1.155
1808	0.998
1809	0.762
1810	0.574
1811	1.213
1812	0.66
1813	0.39
1814	0.633
1815	0.915
1816	1.025
1817	1.112
1818	0.728
1819	0.61
1820	0.793
1821	1.309
1822	0.526
1823	1.073
1824	0.587
1825	0.782
1826	1.203
1827	0.982
1828	1.475
1829	0.667
1830	0.904
1831	1.136
1832	1.164
1833	1.194
1834	0.486
1835	0.778
1836	1.038
1837	1.342
1838	1.317
1839	1.074
1840	1.28
1841	1
1842	0.766
1843	1.504
1844	0.658
1845	0.214
1846	0.604
1847	0.419
1848	0.891
1849	1.575
1850	1.281
1851	0.247
1852	0.86
1853	1.17
1854	1.039
1855	0.433
1856	1.018
1857	0.943
1858	1.132
1859	1.252
1860	1.111
1861	0.189
1862	1.585
1863	0.923
1864	0.582
1865	1.109
1866	1.225
1867	1.451
1868	1.374
1869	0.991
1870	0.624
1871	0.648
1872	0.987
1873	0.312
1874	1.125
1875	0.842
1876	0.892
1877	0.691
1878	0.491
1879	0.23
1880	1.016
1881	0.54
1882	0.506
1883	0.249
1884	0.948
1885	0.878
1886	0.75
1887	0.376
1888	0.928
1889	0.827
1890	0.883
1891	0.921
1892	0.962
1893	0.833
1894	0.725
1895	0.95
1896	0.599
1897	1.247
1898	1.002
1899	0.404
1900	0.532
1901	0.766
1902	0.057
1903	1.173
1904	0.69
1905	1.081
1906	1.068
1907	1.251
1908	0.728
1909	1.116
1910	1.097
1911	1.523
1912	1.28
1913	1.549
1914	1.758
1915	0.978
1916	1.461
1917	1.443
1918	1.172
1919	1.302
1920	1.529
1921	1.287
1922	1.154
1923	1.236
1924	1.339
1925	0.938
1926	1.306
1927	1.586
1928	1.148
1929	1.383
1930	1.227
1931	0.707
1932	1.646
1933	1.114
1934	0.828
1935	1.38
1936	1.117
1937	1.249
1938	1.67
1939	1.27
1940	0.763
1941	1.688
1942	1.676
1943	1.42
1944	1.388
1945	1.339
1946	1.007
1947	1.429
1948	1.521
1949	1.561
1950	1.29
1951	0.731
1952	1.616
1953	0.878
1954	0.59
1955	1.167
1956	0.932
1957	1.544
1958	1.299
1959	0.809
1960	1.571
1961	1.372
1962	1.595
1963	1.435
1964	1.3
1965	1.577
1966	1.386
1967	1.141
1968	0.647
1969	1.326
1970	1.114
1971	0.852
1972	0.812
1973	1.366
1974	0.866
1975	0.802
1976	0.768
1977	0.066
1978	0.839
1979	1.526
1980	1.151
1981	0.836
1982	1.269
1983	1.276
1984	1.174
1985	1.511
1986	1.203
1987	1.306
1988	0.859
1989	0.961
1990	0.648
1991	1.068
1992	1.016
1993	1
1994	0.665
1995	1.128
1996	0.682
1997	1.123
1998	0.648
1999	0.911
2000	0.842
2001	0.511
2002	0.199