ÃÂ¯ÃÂ»ÃÂ¿# northamerica_usa_ut022 - Navajo 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/3087
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# Description/Documentation lines begin with #
# Data lines have no #
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# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: northamerica_usa_ut022 - Navajo 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: Navajo Mountain
#	Location:
#	Country: United States
#	Northernmost_Latitude: 37.02
#	Southernmost_Latitude: 37.02
#	Easternmost_Longitude: -110.85
#	Westernmost_Longitude: -110.85
#	Elevation: 2286 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_ut022B
#	Earliest_Year: 1469
#	Most_Recent_Year: 1971
#	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":"4.9391449149","T2":"16.8309126031","M1":"0.023330257462","M2":"0.398897359169"}}
#--------------------
# Species
#	Species_Name: pinyon pine
#	Species_Code: PIED
#--------------------
# 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
1469	1.015
1470	0.76
1471	0.463
1472	0.613
1473	0.872
1474	0.806
1475	0.84
1476	0.917
1477	1.185
1478	1.06
1479	0.581
1480	0.943
1481	0.864
1482	1.312
1483	0.916
1484	1.449
1485	1.082
1486	1.154
1487	0.64
1488	0.894
1489	0.898
1490	1.256
1491	1.372
1492	1.168
1493	1.038
1494	0.926
1495	0.294
1496	0.953
1497	1.144
1498	1.226
1499	0.788
1500	0.448
1501	1.214
1502	1.268
1503	1.455
1504	1.575
1505	0.984
1506	0.939
1507	1.07
1508	0.955
1509	1.714
1510	0.866
1511	0.974
1512	1.184
1513	1.217
1514	1.1
1515	1.003
1516	0.913
1517	1.093
1518	1.2
1519	1.083
1520	0.831
1521	0.713
1522	0.333
1523	0.817
1524	0.891
1525	0.823
1526	1.272
1527	0.988
1528	0.826
1529	0.88
1530	1.092
1531	0.746
1532	0.374
1533	0.739
1534	1.246
1535	1.247
1536	1.367
1537	1.402
1538	0.33
1539	1.015
1540	1.046
1541	1.088
1542	0.019
1543	0.901
1544	0.497
1545	0.79
1546	1.336
1547	1.115
1548	0.89
1549	1.523
1550	1.373
1551	1.052
1552	1.197
1553	1.133
1554	0.946
1555	0.98
1556	1.197
1557	1.309
1558	1.195
1559	1.099
1560	1.131
1561	0.835
1562	1.05
1563	0.724
1564	1.302
1565	1.478
1566	1.403
1567	0.974
1568	1.068
1569	0.944
1570	0.957
1571	0.655
1572	0.853
1573	0.543
1574	0.493
1575	1.012
1576	0.8
1577	1.276
1578	1.006
1579	0.62
1580	0.471
1581	0.93
1582	0.623
1583	0.355
1584	0.058
1585	0.182
1586	1.135
1587	1.643
1588	1.771
1589	1.344
1590	0.659
1591	0.86
1592	0.852
1593	0.969
1594	1.288
1595	1.089
1596	1.236
1597	0.75
1598	0.691
1599	1.297
1600	0.193
1601	0.893
1602	1.354
1603	1.259
1604	1.374
1605	1.291
1606	1.253
1607	0.878
1608	0.824
1609	1.417
1610	1.328
1611	1.163
1612	0.849
1613	0.665
1614	1.399
1615	1.65
1616	1.441
1617	1.311
1618	1.231
1619	1.326
1620	1.43
1621	1.807
1622	1.342
1623	0.441
1624	0.847
1625	0.939
1626	0.445
1627	1.431
1628	0.724
1629	0.843
1630	0.63
1631	0.945
1632	-0.002
1633	1.283
1634	0.829
1635	1.205
1636	0.441
1637	0.304
1638	0.468
1639	1.009
1640	1.251
1641	1.398
1642	0.969
1643	0.987
1644	1.167
1645	0.885
1646	1.014
1647	1.253
1648	0.466
1649	1.297
1650	1.152
1651	1.543
1652	0.928
1653	1.446
1654	0.13
1655	1.393
1656	1.236
1657	0.992
1658	0.472
1659	0.782
1660	1.284
1661	1.562
1662	0.883
1663	0.653
1664	0.881
1665	0.79
1666	0.78
1667	0.635
1668	0.576
1669	0.667
1670	0.007
1671	1.01
1672	0.796
1673	0.8
1674	1.077
1675	0.678
1676	-0.004
1677	1.102
1678	0.734
1679	0.599
1680	1.103
1681	1.255
1682	0.836
1683	1.442
1684	0.638
1685	-0.004
1686	0.181
1687	1.203
1688	0.913
1689	0.945
1690	0.951
1691	0.734
1692	1.355
1693	1.209
1694	0.534
1695	1.036
1696	0.402
1697	0.662
1698	0.693
1699	0.838
1700	0.794
1701	1.284
1702	0.695
1703	0.091
1704	0.96
1705	1.231
1706	0.876
1707	0.715
1708	0.438
1709	1.266
1710	1.212
1711	0.997
1712	1.157
1713	1.019
1714	1.101
1715	0.971
1716	0.88
1717	1.175
1718	1.407
1719	1.273
1720	1.703
1721	1.148
1722	0.049
1723	1.305
1724	0.654
1725	1.28
1726	1.545
1727	1.146
1728	-0.004
1729	0.461
1730	0.666
1731	1.022
1732	1.217
1733	0.704
1734	0.847
1735	-0.004
1736	0.643
1737	0.765
1738	0.948
1739	0.465
1740	0.6
1741	1.319
1742	0.743
1743	1.086
1744	0.538
1745	1.087
1746	1.403
1747	1.537
1748	0.54
1749	1.418
1750	0.827
1751	0.443
1752	0.23
1753	0.645
1754	0.771
1755	0.358
1756	0.834
1757	0.365
1758	0.791
1759	0.723
1760	1.223
1761	0.886
1762	1.048
1763	0.7
1764	1.398
1765	0.304
1766	1.476
1767	1.017
1768	1.369
1769	0.947
1770	0.661
1771	1.378
1772	0.906
1773	-0.004
1774	1.089
1775	1.012
1776	0.847
1777	0.98
1778	0.34
1779	1.124
1780	0.957
1781	1.024
1782	0.526
1783	0.887
1784	1.76
1785	1.188
1786	0.988
1787	1.655
1788	1.011
1789	0.969
1790	0.134
1791	1.333
1792	1.318
1793	1.484
1794	1.088
1795	1.659
1796	1.046
1797	1.27
1798	1.085
1799	1.27
1800	1.171
1801	0.631
1802	0.989
1803	0.872
1804	1.193
1805	0.722
1806	0.56
1807	1.716
1808	1.25
1809	1.696
1810	0.611
1811	1.68
1812	0.854
1813	-0.004
1814	1.029
1815	1.4
1816	1.586
1817	1.086
1818	0.636
1819	0.823
1820	0.831
1821	1.513
1822	0.271
1823	1.179
1824	1.522
1825	1.521
1826	1.95
1827	1.427
1828	1.983
1829	1.253
1830	1.302
1831	1.321
1832	1.221
1833	1.564
1834	0.68
1835	1.474
1836	1.036
1837	1.81
1838	2.225
1839	2.045
1840	2.072
1841	1.75
1842	0.935
1843	1.116
1844	1.495
1845	0.416
1846	1.388
1847	-0.005
1848	1.118
1849	2.159
1850	1.733
1851	0.988
1852	1.454
1853	0.973
1854	1.007
1855	1.015
1856	1.231
1857	0.689
1858	0.979
1859	0.879
1860	0.659
1861	-0.004
1862	1.581
1863	1.052
1864	0.16
1865	0.957
1866	1.459
1867	1.251
1868	1.425
1869	1.352
1870	0.405
1871	0.601
1872	0.911
1873	0.703
1874	0.966
1875	0.855
1876	0.738
1877	1.066
1878	1.033
1879	-0.004
1880	0.462
1881	0.778
1882	-0.004
1883	0.616
1884	1.2
1885	1.44
1886	1.315
1887	0.434
1888	1.097
1889	1.314
1890	1.433
1891	1.207
1892	1.384
1893	0.841
1894	0.733
1895	1.137
1896	-0.004
1897	1.17
1898	1.035
1899	-0.004
1900	0.524
1901	0.621
1902	-0.004
1903	1.127
1904	0.171
1905	1.273
1906	1.323
1907	1.528
1908	1.531
1909	1.424
1910	0.974
1911	1.319
1912	1.534
1913	1.46
1914	1.557
1915	1.363
1916	1.48
1917	1.273
1918	0.876
1919	1.513
1920	1.723
1921	1.104
1922	1.635
1923	1.716
1924	0.925
1925	1.011
1926	1.51
1927	1.302
1928	1.203
1929	0.995
1930	0.728
1931	0.703
1932	1.374
1933	0.944
1934	0.59
1935	1.24
1936	0.74
1937	0.898
1938	1.284
1939	1.095
1940	0.803
1941	1.261
1942	1.132
1943	0.621
1944	0.801
1945	0.861
1946	0.216
1947	0.592
1948	0.948
1949	1.182
1950	0.683
1951	0.244
1952	1.453
1953	0.591
1954	0.913
1955	0.369
1956	0.335
1957	1.12
1958	0.924
1959	-0.003
1960	1.012
1961	0.939
1962	0.673
1963	0.155
1964	0.655
1965	1.017
1966	1.076
1967	0.784
1968	0.602
1969	1.1
1970	0.674
1971	-0.001