ÃÂ¯ÃÂ»ÃÂ¿# northamerica_usa_az082 - Canyon de Chelly - 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/3065
#
# 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_az082 - Canyon de Chelly - 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: Canyon de Chelly
#	Location:
#	Country: United States
#	Northernmost_Latitude: 36.1
#	Southernmost_Latitude: 36.1
#	Easternmost_Longitude: -109.38
#	Westernmost_Longitude: -109.38
#	Elevation: 1828 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_az082B
#	Earliest_Year: 1376
#	Most_Recent_Year: 1972
#	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":"5.09789268074","T2":"16.5417327345","M1":"0.0230943456015","M2":"0.42247051724"}}
#--------------------
# 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
1376	0.996
1377	1.002
1378	0.875
1379	1.001
1380	1.091
1381	1.288
1382	0.606
1383	0.818
1384	0.91
1385	0.623
1386	0.847
1387	0.833
1388	0.906
1389	0.97
1390	0.861
1391	0.885
1392	0.98
1393	1.105
1394	1.215
1395	1.267
1396	1.22
1397	1.02
1398	0.885
1399	0.82
1400	0.839
1401	0.779
1402	0.826
1403	0.902
1404	1.094
1405	0.994
1406	1.059
1407	1.076
1408	0.836
1409	1.103
1410	0.983
1411	1.152
1412	1.083
1413	0.761
1414	1.203
1415	0.859
1416	1.013
1417	1.15
1418	0.959
1419	1.172
1420	1.301
1421	0.962
1422	1.348
1423	1.007
1424	1.098
1425	0.968
1426	1.215
1427	1.2
1428	1.532
1429	1.489
1430	1.249
1431	1.143
1432	0.984
1433	0.992
1434	1.335
1435	0.826
1436	0.755
1437	0.606
1438	0.737
1439	0.781
1440	1.263
1441	1.239
1442	0.945
1443	0.88
1444	0.934
1445	0.672
1446	0.977
1447	1.233
1448	0.449
1449	0.651
1450	0.479
1451	1.042
1452	0.959
1453	1.176
1454	1.064
1455	0.516
1456	1.097
1457	0.527
1458	0.905
1459	0.796
1460	0.465
1461	1.087
1462	1.089
1463	1.09
1464	0.615
1465	1.192
1466	1.375
1467	1.743
1468	1.607
1469	1.385
1470	1.35
1471	0.423
1472	0.624
1473	0.764
1474	1.078
1475	0.778
1476	0.938
1477	1.486
1478	0.936
1479	1.094
1480	0.63
1481	0.806
1482	0.715
1483	0.806
1484	1.043
1485	1.116
1486	1.381
1487	1.253
1488	0.778
1489	0.977
1490	0.721
1491	0.976
1492	1.117
1493	1.321
1494	1.179
1495	0.32
1496	0.712
1497	0.735
1498	1.1
1499	1.031
1500	0.667
1501	0.7
1502	0.837
1503	0.861
1504	1.103
1505	1.003
1506	0.673
1507	1.104
1508	1.191
1509	1.419
1510	1.054
1511	1.649
1512	1.334
1513	1.074
1514	1.304
1515	1.065
1516	0.686
1517	0.551
1518	0.77
1519	1.021
1520	0.74
1521	0.738
1522	0.498
1523	0.741
1524	0.859
1525	0.726
1526	1.458
1527	0.974
1528	0.88
1529	1.094
1530	1.386
1531	1.281
1532	0.503
1533	1.159
1534	0.947
1535	1.317
1536	1.389
1537	1.579
1538	0.636
1539	1.328
1540	1.585
1541	1.285
1542	0.606
1543	1.06
1544	0.721
1545	0.718
1546	0.605
1547	0.611
1548	0.828
1549	1.043
1550	1.257
1551	0.947
1552	1.194
1553	1.407
1554	0.903
1555	1.88
1556	1.801
1557	1.01
1558	1.043
1559	0.911
1560	1.087
1561	0.662
1562	0.697
1563	1.135
1564	1.161
1565	1.365
1566	1.025
1567	1.071
1568	1.2
1569	1.197
1570	1.107
1571	0.711
1572	1.267
1573	0.576
1574	1.037
1575	0.754
1576	0.816
1577	0.713
1578	0.899
1579	0.376
1580	0.41
1581	0.649
1582	0.521
1583	0.522
1584	0.047
1585	0.226
1586	0.638
1587	0.38
1588	0.702
1589	0.493
1590	0.297
1591	0.679
1592	0.404
1593	0.702
1594	1.31
1595	0.853
1596	0.977
1597	0.93
1598	0.687
1599	0.807
1600	0.642
1601	0.562
1602	0.739
1603	0.662
1604	0.705
1605	0.803
1606	0.91
1607	0.666
1608	0.957
1609	0.892
1610	1.059
1611	0.827
1612	0.799
1613	0.847
1614	0.771
1615	1.025
1616	0.972
1617	0.916
1618	1.421
1619	0.948
1620	1.393
1621	1.326
1622	1.211
1623	0.668
1624	0.417
1625	0.715
1626	0.387
1627	0.603
1628	0.564
1629	0.768
1630	0.915
1631	0.764
1632	0.903
1633	0.688
1634	0.938
1635	0.824
1636	0.612
1637	0.584
1638	0.824
1639	0.891
1640	1.179
1641	1.101
1642	1.152
1643	0.997
1644	1.198
1645	1.187
1646	1.327
1647	1.163
1648	0.935
1649	1.397
1650	1.277
1651	1.532
1652	1.129
1653	1.448
1654	0.969
1655	1.447
1656	1.188
1657	0.954
1658	0.944
1659	0.993
1660	0.818
1661	1.054
1662	0.807
1663	1.411
1664	0.799
1665	1.544
1666	1.068
1667	1.072
1668	0.524
1669	0.947
1670	0.538
1671	0.744
1672	0.785
1673	1.033
1674	1.214
1675	1.174
1676	0.937
1677	1.056
1678	1.205
1679	0.74
1680	1.106
1681	1.37
1682	1.207
1683	1.263
1684	0.74
1685	0.383
1686	1.178
1687	1.08
1688	1.057
1689	0.995
1690	1.135
1691	1.055
1692	1.111
1693	1.466
1694	0.953
1695	0.989
1696	0.683
1697	0.616
1698	1.007
1699	1.074
1700	0.602
1701	0.99
1702	0.863
1703	0.99
1704	0.661
1705	0.939
1706	0.949
1707	0.625
1708	0.897
1709	0.698
1710	1.082
1711	0.942
1712	1.162
1713	0.733
1714	1.037
1715	1.03
1716	0.669
1717	0.836
1718	1.012
1719	1.272
1720	1.454
1721	1.593
1722	1.456
1723	1.704
1724	0.893
1725	1.923
1726	1.908
1727	1.564
1728	0.84
1729	0.348
1730	0.684
1731	0.764
1732	0.784
1733	0.868
1734	0.69
1735	0.52
1736	0.899
1737	0.55
1738	0.639
1739	0.633
1740	0.406
1741	0.659
1742	0.591
1743	0.953
1744	0.94
1745	0.997
1746	1.355
1747	1.594
1748	0.859
1749	1.337
1750	1.036
1751	1.073
1752	0.908
1753	0.602
1754	0.891
1755	0.682
1756	0.597
1757	0.64
1758	0.957
1759	1.07
1760	1.056
1761	0.924
1762	1.041
1763	0.641
1764	1.007
1765	0.778
1766	1.146
1767	0.848
1768	0.906
1769	0.995
1770	0.823
1771	1.099
1772	0.93
1773	0.512
1774	0.872
1775	0.673
1776	0.802
1777	0.705
1778	0.765
1779	0.868
1780	0.52
1781	0.961
1782	1.05
1783	1.193
1784	1.542
1785	1.754
1786	1.203
1787	1.73
1788	1.139
1789	1.046
1790	1.226
1791	1.416
1792	1.56
1793	1.777
1794	1.563
1795	1.553
1796	1.369
1797	1.834
1798	1.312
1799	1.307
1800	1.503
1801	0.99
1802	1.202
1803	1.235
1804	1.207
1805	1.007
1806	0.958
1807	0.925
1808	1.122
1809	0.923
1810	0.68
1811	1.061
1812	1.134
1813	0.813
1814	1.126
1815	1.456
1816	1.696
1817	1.284
1818	0.677
1819	0.773
1820	0.515
1821	1.215
1822	0.445
1823	0.913
1824	0.918
1825	1.071
1826	1.036
1827	1.104
1828	1.063
1829	0.89
1830	0.958
1831	1.069
1832	0.983
1833	1.071
1834	1.087
1835	1.329
1836	1.117
1837	1.368
1838	1.142
1839	1.351
1840	1.042
1841	1.332
1842	0.788
1843	0.974
1844	1.145
1845	0.871
1846	1.065
1847	0.679
1848	1.09
1849	1.202
1850	1.306
1851	0.841
1852	1.325
1853	1.285
1854	1.111
1855	1.245
1856	0.984
1857	1.056
1858	1.405
1859	1.166
1860	1.018
1861	0.815
1862	0.976
1863	0.952
1864	1.051
1865	1.069
1866	1.268
1867	1.312
1868	1.321
1869	1.564
1870	1.198
1871	1.305
1872	0.88
1873	1.012
1874	0.902
1875	0.823
1876	1.107
1877	1.1
1878	1.331
1879	1.26
1880	1.008
1881	0.917
1882	1.095
1883	1.132
1884	1.121
1885	1.131
1886	1.036
1887	0.857
1888	1.084
1889	0.963
1890	1.09
1891	1.092
1892	1.17
1893	0.797
1894	0.807
1895	0.921
1896	0.691
1897	0.731
1898	0.907
1899	0.611
1900	0.899
1901	0.78
1902	0.479
1903	0.819
1904	0.607
1905	0.876
1906	1.031
1907	1.176
1908	1.066
1909	1.033
1910	1.035
1911	0.948
1912	1.259
1913	0.801
1914	1.071
1915	1.263
1916	1.087
1917	1.169
1918	0.775
1919	1.185
1920	1.268
1921	1.014
1922	1.314
1923	1.049
1924	1.073
1925	0.798
1926	1.164
1927	0.931
1928	1.131
1929	0.871
1930	1.166
1931	1.031
1932	1.084
1933	0.983
1934	0.895
1935	1.026
1936	0.764
1937	1.258
1938	0.959
1939	0.854
1940	1.017
1941	1.098
1942	1.008
1943	0.751
1944	1.005
1945	0.808
1946	0.771
1947	0.924
1948	0.97
1949	0.994
1950	0.795
1951	0.559
1952	0.92
1953	0.799
1954	0.632
1955	0.825
1956	0.729
1957	0.674
1958	0.769
1959	0.531
1960	0.817
1961	0.708
1962	0.757
1963	0.772
1964	0.733
1965	1.193
1966	0.845
1967	0.901
1968	1.061
1969	0.706
1970	0.933
1971	0.742
1972	0.723