ÃÂ¯ÃÂ»ÃÂ¿# northamerica_usa_co509 - Spruce Canyon - 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/2948
#
# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: northamerica_usa_co509 - Spruce Canyon - 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: Spruce Canyon
#	Location:
#	Country: United States
#	Northernmost_Latitude: 37.18
#	Southernmost_Latitude: 37.18
#	Easternmost_Longitude: -108.48
#	Westernmost_Longitude: -108.48
#	Elevation: 2115 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_co509B
#	Earliest_Year: 1373
#	Most_Recent_Year: 1978
#	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":"4.78806188753","T2":"15.770803355","M1":"0.0228849335166","M2":"0.509280218506"}}
#--------------------
# Species
#	Species_Name: Douglas fir
#	Species_Code: PSME
#--------------------
# 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
1373	0.983
1374	0.787
1375	0.64
1376	0.636
1377	1.27
1378	0.93
1379	0.877
1380	1.189
1381	0.86
1382	0.89
1383	1.186
1384	0.993
1385	1.096
1386	1.14
1387	1.017
1388	0.965
1389	0.976
1390	0.609
1391	0.768
1392	1.135
1393	1.024
1394	0.944
1395	1.274
1396	1.124
1397	1.02
1398	0.955
1399	0.806
1400	0.825
1401	0.93
1402	0.873
1403	0.956
1404	1.244
1405	1.278
1406	1.501
1407	1.222
1408	0.945
1409	1.272
1410	1.191
1411	0.769
1412	1.052
1413	0.6
1414	1.123
1415	0.791
1416	0.883
1417	1.347
1418	1.072
1419	0.994
1420	1.138
1421	0.894
1422	1.166
1423	0.807
1424	0.9
1425	1.061
1426	1.305
1427	0.9
1428	1.091
1429	1.193
1430	1.286
1431	1.3
1432	1.177
1433	1.19
1434	1.122
1435	0.825
1436	0.877
1437	0.859
1438	0.634
1439	0.689
1440	1.108
1441	1.281
1442	0.774
1443	0.752
1444	0.844
1445	0.697
1446	0.648
1447	0.898
1448	0.811
1449	0.878
1450	0.698
1451	1.336
1452	0.98
1453	1.384
1454	1.227
1455	0.562
1456	1.022
1457	0.599
1458	1.162
1459	1.071
1460	1.126
1461	1.014
1462	1.294
1463	1.283
1464	0.854
1465	0.716
1466	1.062
1467	1.339
1468	1.172
1469	1.188
1470	1.367
1471	0.576
1472	0.918
1473	0.621
1474	0.864
1475	0.757
1476	1.165
1477	1.358
1478	1.445
1479	1.192
1480	0.645
1481	0.786
1482	0.903
1483	0.861
1484	1.539
1485	1.305
1486	1.244
1487	0.999
1488	0.731
1489	0.749
1490	1.033
1491	1.557
1492	1.262
1493	1.092
1494	1.163
1495	0.403
1496	0.722
1497	0.831
1498	1.333
1499	1.196
1500	0.31
1501	0.779
1502	0.914
1503	0.912
1504	1.152
1505	1.014
1506	0.467
1507	1.276
1508	1.185
1509	1.442
1510	1.1
1511	1.191
1512	1.644
1513	1.665
1514	1.588
1515	1.1
1516	0.678
1517	0.893
1518	0.624
1519	1.245
1520	1.257
1521	1.158
1522	0.675
1523	0.827
1524	0.856
1525	0.89
1526	1.44
1527	1.034
1528	0.648
1529	0.868
1530	1.014
1531	0.836
1532	0.287
1533	0.918
1534	0.783
1535	1.031
1536	0.935
1537	0.671
1538	0.524
1539	0.67
1540	0.997
1541	0.716
1542	0.246
1543	0.776
1544	0.793
1545	0.819
1546	0.835
1547	0.742
1548	0.932
1549	1.071
1550	1.506
1551	0.908
1552	0.86
1553	1.371
1554	1.02
1555	1.283
1556	2.127
1557	1.507
1558	1.202
1559	1.224
1560	1.224
1561	0.964
1562	1.015
1563	1.263
1564	1.07
1565	1.069
1566	0.939
1567	0.59
1568	1.244
1569	1.138
1570	1.578
1571	1.383
1572	1.341
1573	0.738
1574	0.697
1575	0.781
1576	0.791
1577	0.795
1578	0.955
1579	0.336
1580	0.416
1581	0.74
1582	0.704
1583	0.504
1584	0.376
1585	0.319
1586	0.83
1587	0.548
1588	1.247
1589	0.879
1590	0.375
1591	1.167
1592	0.742
1593	0.744
1594	1.255
1595	1.237
1596	1.148
1597	0.95
1598	0.674
1599	1.164
1600	0.59
1601	0.983
1602	0.975
1603	0.751
1604	0.851
1605	1.082
1606	1.061
1607	0.732
1608	1.19
1609	1.093
1610	1.161
1611	0.842
1612	0.578
1613	0.854
1614	0.801
1615	1.114
1616	1.188
1617	1.361
1618	1.415
1619	0.867
1620	1.213
1621	1.302
1622	0.931
1623	0.605
1624	0.451
1625	0.58
1626	0.601
1627	0.807
1628	0.724
1629	1.021
1630	0.972
1631	0.894
1632	0.562
1633	0.907
1634	0.972
1635	1.318
1636	0.71
1637	0.833
1638	0.814
1639	0.76
1640	1.05
1641	1
1642	0.94
1643	1.04
1644	0.833
1645	0.669
1646	1.096
1647	1.048
1648	0.78
1649	1.019
1650	1.084
1651	1.345
1652	0.595
1653	1.019
1654	0.364
1655	1.102
1656	1.126
1657	0.655
1658	0.653
1659	0.725
1660	0.841
1661	0.766
1662	0.681
1663	0.99
1664	0.806
1665	1.225
1666	0.813
1667	0.759
1668	0.869
1669	0.741
1670	0.875
1671	0.956
1672	1.256
1673	1.409
1674	1.733
1675	1.435
1676	0.929
1677	1.005
1678	1.369
1679	0.891
1680	1.151
1681	1.187
1682	1.336
1683	1.451
1684	0.753
1685	0.282
1686	1.12
1687	1.061
1688	1.116
1689	1.424
1690	1.681
1691	1.241
1692	1.854
1693	1.473
1694	1.066
1695	1.091
1696	0.758
1697	1.169
1698	1.473
1699	1.907
1700	1.478
1701	1.718
1702	1.18
1703	1.194
1704	0.805
1705	1.126
1706	1.434
1707	0.689
1708	0.909
1709	0.93
1710	1.656
1711	1.195
1712	1.358
1713	0.832
1714	0.75
1715	0.946
1716	0.6
1717	0.615
1718	0.79
1719	1.042
1720	1.758
1721	1.331
1722	1.143
1723	1.173
1724	0.794
1725	1.295
1726	1.364
1727	1.275
1728	1.044
1729	0.367
1730	0.765
1731	0.97
1732	1.042
1733	0.89
1734	1.451
1735	0.723
1736	0.82
1737	0.592
1738	0.838
1739	0.665
1740	0.532
1741	0.773
1742	0.718
1743	1.045
1744	1.072
1745	1.066
1746	1.639
1747	1.861
1748	0.633
1749	1.368
1750	1.045
1751	0.892
1752	0.794
1753	0.822
1754	0.929
1755	0.732
1756	0.603
1757	0.675
1758	0.886
1759	1.015
1760	0.958
1761	1.203
1762	1.237
1763	1.084
1764	1.107
1765	0.978
1766	1.283
1767	0.874
1768	1.087
1769	1.082
1770	0.975
1771	1.568
1772	1.013
1773	0.551
1774	0.759
1775	0.836
1776	0.86
1777	1.017
1778	0.698
1779	0.727
1780	0.504
1781	0.99
1782	0.519
1783	0.95
1784	0.969
1785	1.14
1786	0.771
1787	0.993
1788	0.803
1789	0.618
1790	0.73
1791	1.238
1792	1.224
1793	1.247
1794	1.037
1795	0.91
1796	0.885
1797	0.983
1798	0.887
1799	0.972
1800	1.195
1801	0.828
1802	1.341
1803	1.109
1804	1.151
1805	0.874
1806	0.683
1807	0.905
1808	0.603
1809	0.662
1810	0.791
1811	1.099
1812	1.082
1813	0.609
1814	0.633
1815	1.094
1816	1.605
1817	1.269
1818	0.643
1819	0.416
1820	0.429
1821	1.161
1822	0.757
1823	0.453
1824	0.477
1825	0.82
1826	1.024
1827	0.627
1828	0.99
1829	0.822
1830	0.884
1831	0.955
1832	1.402
1833	1.3
1834	0.922
1835	1.168
1836	0.928
1837	1.144
1838	1.414
1839	1.612
1840	1.647
1841	1.26
1842	0.603
1843	1.212
1844	1.17
1845	0.661
1846	0.971
1847	0.334
1848	1.005
1849	1.199
1850	1.156
1851	0.523
1852	0.958
1853	1.238
1854	1.089
1855	1.083
1856	0.953
1857	0.702
1858	0.835
1859	0.702
1860	0.752
1861	0.186
1862	1.029
1863	0.878
1864	0.549
1865	0.919
1866	1.087
1867	1.409
1868	1.355
1869	1.614
1870	0.821
1871	0.787
1872	0.469
1873	0.898
1874	0.844
1875	0.762
1876	0.55
1877	1.108
1878	0.662
1879	0.777
1880	0.669
1881	0.65
1882	0.774
1883	0.539
1884	0.865
1885	1.037
1886	1.014
1887	0.68
1888	1.188
1889	1.077
1890	1.441
1891	1.488
1892	1.345
1893	0.874
1894	0.703
1895	0.938
1896	0.507
1897	1.153
1898	1.186
1899	0.405
1900	0.631
1901	0.981
1902	0.407
1903	1.014
1904	0.36
1905	1.139
1906	1.31
1907	1.751
1908	1.132
1909	1.371
1910	1.085
1911	1.41
1912	1.774
1913	0.854
1914	1.57
1915	2.157
1916	1.71
1917	1.698
1918	0.833
1919	1.079
1920	1.835
1921	1.591
1922	1.385
1923	0.87
1924	1.267
1925	1.005
1926	1.451
1927	1.016
1928	1.324
1929	0.785
1930	0.988
1931	0.953
1932	1.036
1933	1.021
1934	0.543
1935	0.786
1936	0.703
1937	0.893
1938	1.162
1939	0.938
1940	0.861
1941	1.331
1942	1.24
1943	1.069
1944	1.15
1945	0.906
1946	0.739
1947	1.049
1948	1.105
1949	1.264
1950	0.97
1951	0.563
1952	1.091
1953	0.764
1954	0.83
1955	1.025
1956	0.759
1957	1.032
1958	1.26
1959	0.489
1960	0.894
1961	0.766
1962	0.65
1963	0.652
1964	0.779
1965	1.101
1966	1.121
1967	0.834
1968	0.88
1969	1.092
1970	1.29
1971	0.959
1972	0.876
1973	1.244
1974	0.816
1975	1.257
1976	0.956
1977	0.746
1978	1.137