ÃÂ¯ÃÂ»ÃÂ¿# northamerica_usa_nm566 - Black Mountain - 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/3343
#
# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: northamerica_usa_nm566 - Black Mountain - 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: Black Mountain
#	Location:
#	Country: United States
#	Northernmost_Latitude: 33.38
#	Southernmost_Latitude: 33.38
#	Easternmost_Longitude: -108.23
#	Westernmost_Longitude: -108.23
#	Elevation: 2651 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_nm566B
#	Earliest_Year: 1450
#	Most_Recent_Year: 1987
#	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":"3.50158468337","T2":"15.7193771338","M1":"0.0236132976158","M2":"0.491524086565"}}
#--------------------
# Species
#	Species_Name: ponderosa pine
#	Species_Code: PIPO
#--------------------
# 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
1450	1.116
1451	1.013
1452	0.905
1453	0.721
1454	1.002
1455	0.849
1456	0.586
1457	0.753
1458	1.066
1459	0.891
1460	1.285
1461	1.1
1462	1.112
1463	0.839
1464	0.788
1465	1.251
1466	1.063
1467	1.054
1468	0.834
1469	0.816
1470	0.623
1471	0.718
1472	0.733
1473	0.885
1474	1.276
1475	1.029
1476	0.499
1477	0.896
1478	1.21
1479	1.201
1480	0.989
1481	1.307
1482	1.494
1483	1.164
1484	1.581
1485	1.47
1486	0.973
1487	0.694
1488	1.217
1489	1.502
1490	1.023
1491	1.629
1492	1.329
1493	1.201
1494	1.009
1495	0.472
1496	1.034
1497	0.925
1498	1.871
1499	1.595
1500	0.91
1501	0.475
1502	0.551
1503	0.714
1504	1.44
1505	1.388
1506	0.545
1507	1.249
1508	1.576
1509	1.362
1510	1.315
1511	1.562
1512	1.018
1513	0.568
1514	0.568
1515	0.834
1516	0.502
1517	0.44
1518	0.833
1519	1.128
1520	0.992
1521	1.121
1522	0.489
1523	0.712
1524	0.926
1525	1.676
1526	1.54
1527	0.705
1528	0.296
1529	1.314
1530	0.796
1531	0.458
1532	0.656
1533	1.158
1534	1.15
1535	0.778
1536	1.399
1537	1.171
1538	0.453
1539	1.404
1540	1.29
1541	1.192
1542	0.531
1543	1.346
1544	1.225
1545	1.019
1546	1.311
1547	1.066
1548	0.911
1549	1.143
1550	1.224
1551	0.862
1552	1.385
1553	1.365
1554	0.822
1555	1.122
1556	1.084
1557	1.084
1558	0.771
1559	0.873
1560	0.493
1561	0.788
1562	0.611
1563	0.835
1564	1.108
1565	0.838
1566	0.939
1567	0.924
1568	0.859
1569	0.956
1570	0.619
1571	0.704
1572	0.898
1573	0.864
1574	0.467
1575	0.808
1576	0.562
1577	0.718
1578	0.833
1579	0.383
1580	0.895
1581	1.184
1582	1.137
1583	0.081
1584	0.751
1585	0.611
1586	0.907
1587	1.109
1588	1.287
1589	0.662
1590	1.041
1591	0.803
1592	0.271
1593	0.519
1594	1.161
1595	1.25
1596	1.076
1597	1.581
1598	1.057
1599	1.716
1600	0.746
1601	0.582
1602	1.088
1603	1.266
1604	1.186
1605	1.016
1606	1.493
1607	0.953
1608	1.525
1609	1.189
1610	1.553
1611	1.529
1612	1.41
1613	0.92
1614	1.055
1615	1.077
1616	1.226
1617	1.031
1618	1.467
1619	1.078
1620	1.076
1621	1.365
1622	1.021
1623	0.796
1624	0.704
1625	1.05
1626	0.701
1627	1.011
1628	1.079
1629	1.215
1630	1.267
1631	0.973
1632	0.552
1633	1.178
1634	1.148
1635	1.017
1636	0.924
1637	0.916
1638	0.91
1639	1.333
1640	1.312
1641	1.166
1642	1.163
1643	1.174
1644	1.314
1645	0.729
1646	0.845
1647	0.98
1648	0.42
1649	0.722
1650	1.033
1651	0.92
1652	0.817
1653	0.509
1654	0.455
1655	1.128
1656	0.858
1657	0.827
1658	1.127
1659	0.878
1660	0.939
1661	1.275
1662	1.053
1663	0.836
1664	0.45
1665	1.222
1666	0.912
1667	0.59
1668	0.472
1669	0.554
1670	0.415
1671	1.176
1672	0.979
1673	0.91
1674	1.179
1675	0.944
1676	0.862
1677	0.955
1678	0.884
1679	1.054
1680	1.272
1681	1.172
1682	1.207
1683	1.401
1684	0.788
1685	0.278
1686	1.395
1687	1.173
1688	1.591
1689	1.296
1690	1.296
1691	0.69
1692	1.594
1693	1.39
1694	1.175
1695	1.095
1696	0.803
1697	1.101
1698	1.019
1699	1.645
1700	1.405
1701	1.269
1702	0.94
1703	1.361
1704	1.188
1705	0.523
1706	0.778
1707	0.486
1708	1.069
1709	0.45
1710	1.192
1711	0.966
1712	1.154
1713	0.816
1714	1.182
1715	0.698
1716	0.374
1717	1.001
1718	0.933
1719	1.012
1720	1.378
1721	1.475
1722	1.175
1723	0.976
1724	0.972
1725	1.11
1726	1.5
1727	0.899
1728	0.699
1729	0.722
1730	0.71
1731	0.492
1732	0.908
1733	0.159
1734	0.859
1735	0.457
1736	0.869
1737	0.855
1738	0.971
1739	0.607
1740	0.961
1741	1.28
1742	0.795
1743	1.467
1744	0.763
1745	1.247
1746	1.698
1747	1.867
1748	-0.025
1749	1.101
1750	0.724
1751	0.99
1752	0.481
1753	0.425
1754	1.111
1755	0.94
1756	0.667
1757	0.416
1758	1.375
1759	1.222
1760	0.691
1761	0.869
1762	1.63
1763	0.705
1764	1.124
1765	1.361
1766	1.266
1767	1.143
1768	1.247
1769	1.23
1770	1.282
1771	1.152
1772	0.68
1773	0.08
1774	0.753
1775	0.985
1776	0.86
1777	0.565
1778	0.811
1779	1.024
1780	0.385
1781	0.745
1782	0.502
1783	0.997
1784	1.311
1785	0.494
1786	0.6
1787	1.336
1788	0.791
1789	0.606
1790	0.724
1791	1.126
1792	1.01
1793	1.945
1794	0.94
1795	1.05
1796	1.202
1797	0.775
1798	0.588
1799	1.374
1800	1.008
1801	0.75
1802	1.651
1803	0.578
1804	1.566
1805	0.966
1806	0.643
1807	1.36
1808	1.411
1809	1.382
1810	1.521
1811	1.13
1812	1.434
1813	0.742
1814	1.078
1815	1.649
1816	1.784
1817	0.888
1818	0.314
1819	0.938
1820	0.663
1821	0.966
1822	0.329
1823	0.733
1824	0.947
1825	0.919
1826	0.733
1827	0.801
1828	1.258
1829	1.344
1830	1.481
1831	0.989
1832	1.319
1833	1.457
1834	1.611
1835	1.096
1836	0.502
1837	0.968
1838	1.013
1839	1.393
1840	1.365
1841	0.902
1842	0.215
1843	0.874
1844	1.351
1845	1.233
1846	1.182
1847	0.469
1848	1.339
1849	1.598
1850	1.315
1851	0.914
1852	1.687
1853	1.108
1854	0.735
1855	0.869
1856	1.339
1857	1.235
1858	1.548
1859	0.663
1860	1.432
1861	0.654
1862	0.375
1863	0.308
1864	0.704
1865	0.902
1866	1.197
1867	1.115
1868	1.63
1869	1.733
1870	1.135
1871	0.723
1872	1.199
1873	0.751
1874	1.119
1875	1.206
1876	1.11
1877	1.188
1878	1.69
1879	0.732
1880	0.291
1881	0.677
1882	1.31
1883	0.686
1884	0.684
1885	1.129
1886	0.681
1887	1.178
1888	0.723
1889	1.098
1890	0.681
1891	1.031
1892	0.785
1893	0.246
1894	0.447
1895	0.288
1896	0.703
1897	0.851
1898	1.733
1899	0.71
1900	0.28
1901	0.918
1902	0.403
1903	1.697
1904	-0.023
1905	1.206
1906	1.205
1907	1.724
1908	1.357
1909	1.117
1910	0.626
1911	1.444
1912	1.708
1913	0.98
1914	1.641
1915	1.312
1916	1.464
1917	1.743
1918	0.918
1919	1.695
1920	1.39
1921	1.337
1922	0.15
1923	1.124
1924	1.438
1925	0.266
1926	1.367
1927	1.268
1928	1.581
1929	1.113
1930	1.466
1931	1.579
1932	1.293
1933	1.793
1934	1.212
1935	0.939
1936	0.887
1937	1.35
1938	0.927
1939	0.842
1940	1.205
1941	1.578
1942	1
1943	0.79
1944	0.845
1945	1.143
1946	0.212
1947	0.719
1948	0.584
1949	1.094
1950	0.405
1951	0.26
1952	1.048
1953	1.032
1954	0.309
1955	0.426
1956	-0.023
1957	0.597
1958	0.816
1959	0.331
1960	0.761
1961	0.246
1962	1.039
1963	0.793
1964	0.359
1965	1.211
1966	0.971
1967	0.217
1968	1.125
1969	0.881
1970	1.195
1971	0.033
1972	1.026
1973	1.28
1974	-0.022
1975	1.281
1976	1.052
1977	1.047
1978	0.802
1979	1.128
1980	0.789
1981	0.623
1982	0.835
1983	1.034
1984	0.974
1985	1.103
1986	1.499
1987	1.053