ÃÂ¯ÃÂ»ÃÂ¿# northamerica_usa_co630 - Vasquez 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/5347
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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_co630 - Vasquez 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: Vasquez Mountain
#	Location:
#	Country: United States
#	Northernmost_Latitude: 40.03
#	Southernmost_Latitude: 40.03
#	Easternmost_Longitude: -106.07
#	Westernmost_Longitude: -106.07
#	Elevation: 2865 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_co630B
#	Earliest_Year: 1454
#	Most_Recent_Year: 1999
#	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":"2.60471456396","T2":"13.1457994258","M1":"0.0234869877209","M2":"0.57189289717"}}
#--------------------
# Species
#	Species_Name: Douglas fir
#	Species_Code: PSME
#--------------------
# 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
1454	0.753
1455	0.821
1456	0.858
1457	0.647
1458	0.729
1459	0.63
1460	0.518
1461	0.832
1462	0.734
1463	0.865
1464	0.666
1465	0.917
1466	0.82
1467	0.882
1468	0.956
1469	0.898
1470	0.716
1471	0.914
1472	1.15
1473	0.739
1474	0.875
1475	0.737
1476	0.678
1477	1.153
1478	1.165
1479	1.26
1480	1.454
1481	1.313
1482	1.637
1483	1.397
1484	2.251
1485	1.698
1486	2.358
1487	1.804
1488	1.501
1489	1.395
1490	1.345
1491	2.059
1492	1.898
1493	1.227
1494	1.399
1495	0.994
1496	0.991
1497	1.243
1498	1.799
1499	1.125
1500	0.916
1501	0.949
1502	1.521
1503	1.134
1504	1.117
1505	0.996
1506	0.539
1507	0.93
1508	0.901
1509	0.929
1510	0.878
1511	0.939
1512	1.11
1513	1.14
1514	1.314
1515	0.92
1516	0.97
1517	0.788
1518	0.955
1519	0.988
1520	0.874
1521	1.31
1522	0.798
1523	0.868
1524	1.226
1525	1.3
1526	1.054
1527	1.072
1528	0.899
1529	1.035
1530	0.756
1531	0.479
1532	0.372
1533	0.542
1534	0.765
1535	1.262
1536	1.23
1537	1.581
1538	0.913
1539	0.904
1540	1.035
1541	0.909
1542	0.624
1543	0.603
1544	0.716
1545	0.944
1546	1.274
1547	1.013
1548	1.235
1549	2.508
1550	1.664
1551	1.282
1552	1.43
1553	1.714
1554	1.418
1555	1.76
1556	1.479
1557	1.421
1558	1.026
1559	1.274
1560	1.405
1561	1.05
1562	0.689
1563	0.758
1564	0.89
1565	0.84
1566	0.949
1567	0.867
1568	1.077
1569	1.443
1570	1.497
1571	2.082
1572	2.056
1573	1.534
1574	1.326
1575	1.435
1576	0.531
1577	0.641
1578	0.694
1579	0.634
1580	0.47
1581	0.315
1582	0.61
1583	0.617
1584	0.122
1585	0.317
1586	0.427
1587	0.376
1588	0.622
1589	0.776
1590	0.654
1591	0.576
1592	0.523
1593	0.518
1594	1.022
1595	0.771
1596	0.853
1597	0.716
1598	0.554
1599	0.803
1600	0.398
1601	0.548
1602	0.688
1603	0.71
1604	1.041
1605	1.008
1606	0.893
1607	0.795
1608	0.858
1609	0.591
1610	0.824
1611	0.989
1612	0.758
1613	0.743
1614	0.96
1615	1.21
1616	1.324
1617	1.113
1618	1.102
1619	1.06
1620	0.883
1621	1.513
1622	0.86
1623	0.642
1624	0.864
1625	0.607
1626	1.162
1627	0.747
1628	1.02
1629	1.006
1630	1.231
1631	0.743
1632	0.982
1633	1.338
1634	0.826
1635	1.126
1636	0.671
1637	0.716
1638	0.819
1639	0.976
1640	1.077
1641	0.646
1642	1.101
1643	0.987
1644	0.637
1645	0.513
1646	0.541
1647	0.834
1648	0.684
1649	0.954
1650	1.086
1651	1.468
1652	0.888
1653	0.345
1654	0.171
1655	0.593
1656	0.599
1657	0.859
1658	0.668
1659	1.064
1660	1.215
1661	1.181
1662	0.915
1663	0.99
1664	0.62
1665	0.457
1666	0.612
1667	0.373
1668	0.264
1669	0.733
1670	0.674
1671	0.612
1672	0.793
1673	1.141
1674	0.738
1675	0.437
1676	1.434
1677	1.299
1678	1.53
1679	1.055
1680	1.453
1681	1.266
1682	0.738
1683	1.119
1684	0.852
1685	0.405
1686	0.5
1687	0.706
1688	0.993
1689	1.22
1690	1.444
1691	1.415
1692	1.492
1693	0.835
1694	1.288
1695	0.994
1696	1.03
1697	1.109
1698	0.927
1699	0.919
1700	0.803
1701	1.334
1702	1.158
1703	0.629
1704	0.538
1705	0.807
1706	0.524
1707	0.872
1708	0.609
1709	0.469
1710	0.636
1711	0.579
1712	1.121
1713	0.846
1714	0.556
1715	0.66
1716	0.786
1717	0.748
1718	0.953
1719	1.23
1720	1.579
1721	1.271
1722	1.01
1723	1.047
1724	0.9
1725	1.123
1726	1.008
1727	1.11
1728	0.946
1729	0.789
1730	0.654
1731	1.064
1732	0.743
1733	0.921
1734	1.235
1735	0.936
1736	0.544
1737	0.833
1738	1.296
1739	1.319
1740	1.109
1741	1.41
1742	1.038
1743	1.467
1744	0.991
1745	0.983
1746	1.571
1747	1.44
1748	1.027
1749	1.329
1750	0.918
1751	1.338
1752	1.287
1753	1.196
1754	0.988
1755	1.078
1756	0.39
1757	0.661
1758	0.66
1759	0.859
1760	0.718
1761	1.208
1762	1.131
1763	0.858
1764	1.164
1765	1.045
1766	1.082
1767	1.165
1768	1.091
1769	1.246
1770	0.924
1771	1.344
1772	0.904
1773	1.042
1774	1.044
1775	0.891
1776	0.873
1777	0.585
1778	0.72
1779	0.536
1780	0.832
1781	0.911
1782	0.791
1783	1.018
1784	0.806
1785	1.025
1786	1.036
1787	0.948
1788	0.865
1789	0.538
1790	1.205
1791	1.133
1792	1.858
1793	1.239
1794	1.569
1795	1.152
1796	0.907
1797	1.032
1798	0.71
1799	0.848
1800	0.888
1801	0.944
1802	1.54
1803	1.424
1804	0.921
1805	1.063
1806	1.121
1807	0.517
1808	1.022
1809	0.507
1810	0.693
1811	1.093
1812	1.213
1813	0.949
1814	0.906
1815	0.862
1816	1.417
1817	1.24
1818	1.105
1819	0.938
1820	0.847
1821	1.07
1822	1.165
1823	1.333
1824	0.801
1825	0.88
1826	0.979
1827	0.985
1828	1.217
1829	1.011
1830	0.873
1831	1.396
1832	1.441
1833	1.076
1834	0.976
1835	1.218
1836	1.114
1837	1.376
1838	1.069
1839	0.671
1840	1.012
1841	1.137
1842	0.639
1843	1.638
1844	1.14
1845	0.537
1846	0.808
1847	0.239
1848	0.803
1849	0.945
1850	0.911
1851	0.152
1852	0.805
1853	1.448
1854	0.936
1855	0.551
1856	0.828
1857	0.79
1858	0.974
1859	0.892
1860	1.132
1861	1.035
1862	1.152
1863	1.143
1864	1.236
1865	0.814
1866	1.54
1867	1.36
1868	0.881
1869	1.3
1870	1.162
1871	0.523
1872	0.481
1873	0.601
1874	0.322
1875	0.463
1876	0.714
1877	0.584
1878	0.665
1879	0.666
1880	0.47
1881	0.5
1882	0.738
1883	0.872
1884	1.007
1885	1.378
1886	1.014
1887	0.541
1888	0.74
1889	0.796
1890	0.517
1891	0.601
1892	0.898
1893	0.639
1894	1.033
1895	1.31
1896	0.662
1897	1.423
1898	1.006
1899	0.647
1900	0.877
1901	0.888
1902	0.485
1903	0.779
1904	0.94
1905	0.988
1906	1.241
1907	1.906
1908	1.475
1909	1.047
1910	0.9
1911	1.091
1912	1.724
1913	1.206
1914	1.074
1915	1.028
1916	0.959
1917	1.194
1918	1.208
1919	0.946
1920	0.549
1921	1.054
1922	0.852
1923	0.678
1924	0.795
1925	0.998
1926	1.252
1927	1.166
1928	1.432
1929	1.001
1930	1.083
1931	1.17
1932	0.986
1933	0.96
1934	0.775
1935	0.791
1936	0.678
1937	1.039
1938	1.073
1939	0.86
1940	1.022
1941	1.105
1942	1.254
1943	1.439
1944	1.082
1945	1.21
1946	1.318
1947	1.473
1948	1.095
1949	1.309
1950	0.904
1951	1.329
1952	1.147
1953	1.255
1954	0.65
1955	0.732
1956	0.826
1957	1.437
1958	1.17
1959	0.787
1960	0.882
1961	0.599
1962	0.899
1963	0.918
1964	0.55
1965	0.968
1966	0.834
1967	0.944
1968	0.989
1969	1.451
1970	1.211
1971	1.035
1972	1.021
1973	1.125
1974	1.177
1975	1.008
1976	0.795
1977	0.624
1978	0.923
1979	1.115
1980	0.794
1981	1.143
1982	0.945
1983	1.388
1984	1.624
1985	1.441
1986	1.485
1987	1.163
1988	1.074
1989	0.8
1990	0.882
1991	0.783
1992	1.004
1993	1.093
1994	0.733
1995	1.131
1996	1.147
1997	0.952
1998	1.081
1999	0.963