ÃÂ¯ÃÂ»ÃÂ¿# northamerica_usa_co587 - Lexan Creek - 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/2872
#
# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: northamerica_usa_co587 - Lexan Creek - 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: Lexan Creek
#	Location:
#	Country: United States
#	Northernmost_Latitude: 39.88
#	Southernmost_Latitude: 39.88
#	Easternmost_Longitude: -105.93
#	Westernmost_Longitude: -105.93
#	Elevation: 3200 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_co587B
#	Earliest_Year: 1395
#	Most_Recent_Year: 1992
#	Time_Unit: y_ad
#	Core_Length:
#	Notes: {"database":{"database1":"LMR","database2":"Breits"}} {"climateInterpretation":{"basis":"", "climateVariable":"T", "climateVariableDetail":"air", "interpDirection":"positive", "seasonality":"[6, 7, 8]"}}{"VSLite_parameters":{"T1":"5.14047655163","T2":"18.1566607963","M1":"0.022594225633","M2":"0.345093682088"}}
#--------------------
# Species
#	Species_Name: Engelmann spruce
#	Species_Code: PCEN
#--------------------
# 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
1395	1.649
1396	1.634
1397	1.312
1398	1.565
1399	1.41
1400	1.546
1401	1.406
1402	1.33
1403	1.321
1404	1.26
1405	1.42
1406	1.473
1407	1.254
1408	1.319
1409	1.156
1410	1.103
1411	0.916
1412	0.875
1413	0.88
1414	0.897
1415	1.019
1416	1.449
1417	1.035
1418	1.084
1419	0.888
1420	0.874
1421	0.903
1422	0.846
1423	0.662
1424	0.843
1425	0.951
1426	0.949
1427	0.839
1428	0.815
1429	0.718
1430	0.762
1431	0.631
1432	0.716
1433	0.758
1434	0.9
1435	1.088
1436	1.11
1437	0.824
1438	0.999
1439	0.998
1440	1.12
1441	1.338
1442	1.054
1443	1.304
1444	1.616
1445	1.131
1446	1.388
1447	1.348
1448	0.938
1449	1.08
1450	0.979
1451	1.069
1452	0.993
1453	0.947
1454	1.008
1455	1.194
1456	1.321
1457	1.154
1458	0.963
1459	0.998
1460	1.196
1461	1.262
1462	1.124
1463	0.993
1464	1.03
1465	0.96
1466	0.939
1467	1.006
1468	1.066
1469	0.967
1470	0.963
1471	0.937
1472	0.873
1473	0.895
1474	0.903
1475	0.974
1476	1.017
1477	1.017
1478	0.87
1479	0.812
1480	0.78
1481	0.874
1482	0.733
1483	0.671
1484	0.764
1485	0.919
1486	0.905
1487	0.899
1488	0.75
1489	1.045
1490	0.946
1491	0.93
1492	1.092
1493	1.039
1494	1.133
1495	0.978
1496	0.855
1497	0.934
1498	0.729
1499	0.783
1500	0.747
1501	1.006
1502	1.017
1503	0.839
1504	0.963
1505	0.658
1506	0.79
1507	0.78
1508	0.9
1509	0.893
1510	0.916
1511	1.185
1512	1.06
1513	1.145
1514	1.204
1515	1.164
1516	1.118
1517	1.158
1518	1.057
1519	1.01
1520	1.158
1521	0.937
1522	1.017
1523	0.929
1524	0.919
1525	1.088
1526	1.01
1527	1.056
1528	0.941
1529	1.12
1530	0.967
1531	0.706
1532	0.829
1533	0.891
1534	1.071
1535	1.129
1536	1.149
1537	1.255
1538	1.009
1539	1.186
1540	0.889
1541	0.965
1542	0.717
1543	0.601
1544	0.752
1545	0.553
1546	0.686
1547	0.709
1548	0.693
1549	0.655
1550	0.961
1551	0.781
1552	0.808
1553	0.883
1554	0.865
1555	1.036
1556	0.835
1557	1.063
1558	0.898
1559	0.681
1560	0.846
1561	0.734
1562	0.646
1563	0.703
1564	0.776
1565	0.727
1566	0.629
1567	0.595
1568	0.674
1569	0.58
1570	0.791
1571	0.716
1572	0.829
1573	0.912
1574	0.844
1575	0.815
1576	1.019
1577	0.972
1578	0.779
1579	0.742
1580	0.525
1581	0.344
1582	0.732
1583	0.808
1584	0.488
1585	0.596
1586	0.806
1587	0.838
1588	0.889
1589	0.769
1590	0.828
1591	0.9
1592	0.995
1593	0.835
1594	0.996
1595	0.912
1596	1.026
1597	1.13
1598	0.936
1599	0.903
1600	1.04
1601	1.005
1602	1.337
1603	1.019
1604	0.946
1605	1.383
1606	1.124
1607	1.204
1608	1.364
1609	0.949
1610	1.11
1611	1.078
1612	0.848
1613	1.054
1614	1.167
1615	0.855
1616	0.921
1617	1.044
1618	0.86
1619	1.045
1620	1.165
1621	1.012
1622	1.102
1623	1.191
1624	0.884
1625	0.709
1626	0.86
1627	0.802
1628	0.869
1629	0.958
1630	0.96
1631	1.004
1632	1.07
1633	0.82
1634	0.711
1635	0.664
1636	0.882
1637	0.865
1638	0.894
1639	0.835
1640	0.931
1641	0.87
1642	0.959
1643	1.104
1644	1.061
1645	0.965
1646	0.933
1647	1.154
1648	1.26
1649	1.182
1650	1.026
1651	1.055
1652	1.062
1653	0.836
1654	0.84
1655	0.979
1656	0.849
1657	0.907
1658	0.989
1659	1.112
1660	1.049
1661	1.243
1662	1.04
1663	1.065
1664	0.89
1665	0.91
1666	1.015
1667	1.117
1668	1.036
1669	0.997
1670	1.011
1671	1.005
1672	1.095
1673	0.996
1674	1.111
1675	1.037
1676	1.095
1677	0.921
1678	1.182
1679	1.226
1680	1.126
1681	1.187
1682	1.19
1683	1.031
1684	1.332
1685	0.934
1686	1.102
1687	1.091
1688	1.207
1689	1.419
1690	1.254
1691	1.346
1692	1.164
1693	1.069
1694	0.988
1695	0.914
1696	1.089
1697	1.135
1698	1.264
1699	1.155
1700	1.003
1701	1.166
1702	1.029
1703	1.015
1704	0.892
1705	0.931
1706	0.938
1707	0.812
1708	0.917
1709	1.093
1710	0.991
1711	0.99
1712	1.04
1713	0.862
1714	0.81
1715	0.942
1716	0.875
1717	1.115
1718	1.054
1719	0.922
1720	1.105
1721	0.997
1722	0.951
1723	0.815
1724	0.898
1725	0.777
1726	1.003
1727	1.014
1728	1.064
1729	0.889
1730	0.937
1731	1.053
1732	1.018
1733	1.116
1734	0.905
1735	0.993
1736	0.751
1737	0.936
1738	1.017
1739	1.132
1740	0.86
1741	0.903
1742	0.928
1743	1.03
1744	1.129
1745	1.003
1746	1.003
1747	1.027
1748	0.803
1749	0.965
1750	1.156
1751	0.924
1752	0.862
1753	1.1
1754	0.86
1755	0.922
1756	0.87
1757	0.98
1758	0.759
1759	1.039
1760	0.874
1761	0.773
1762	1.188
1763	0.918
1764	0.958
1765	1.236
1766	0.864
1767	1.136
1768	1.043
1769	0.994
1770	0.894
1771	1.14
1772	1.109
1773	1.133
1774	1.105
1775	0.97
1776	0.883
1777	0.944
1778	0.893
1779	0.811
1780	0.973
1781	0.783
1782	0.733
1783	0.89
1784	1.02
1785	1.009
1786	0.819
1787	0.906
1788	0.945
1789	0.738
1790	0.694
1791	0.735
1792	1.118
1793	0.985
1794	0.932
1795	1.083
1796	1.133
1797	1.177
1798	1.292
1799	1.057
1800	0.995
1801	1.243
1802	1.322
1803	0.929
1804	0.97
1805	0.944
1806	1.165
1807	1.193
1808	1.036
1809	0.879
1810	0.802
1811	0.961
1812	1.133
1813	0.995
1814	0.913
1815	0.894
1816	1.037
1817	1.074
1818	0.938
1819	1.174
1820	1.031
1821	1.05
1822	1.176
1823	0.983
1824	0.925
1825	0.931
1826	0.963
1827	1.016
1828	1.042
1829	1.063
1830	0.956
1831	1.053
1832	0.948
1833	1.242
1834	1.054
1835	0.943
1836	0.823
1837	1.15
1838	0.997
1839	0.988
1840	1.058
1841	1.213
1842	0.986
1843	1.236
1844	1.062
1845	0.679
1846	0.779
1847	0.713
1848	0.792
1849	0.858
1850	0.98
1851	0.762
1852	0.767
1853	0.891
1854	0.801
1855	0.911
1856	0.909
1857	0.7
1858	0.746
1859	0.877
1860	0.918
1861	1.102
1862	1.013
1863	1.153
1864	1.117
1865	0.922
1866	1.04
1867	1.258
1868	1.028
1869	1.287
1870	1.352
1871	1.308
1872	0.939
1873	1.347
1874	1.148
1875	1.109
1876	1.358
1877	1.119
1878	1.068
1879	0.984
1880	0.713
1881	1.054
1882	0.775
1883	0.853
1884	0.877
1885	1.037
1886	1.168
1887	0.827
1888	0.946
1889	0.915
1890	0.816
1891	0.838
1892	0.996
1893	0.787
1894	0.985
1895	0.894
1896	1.104
1897	1.224
1898	1.282
1899	0.929
1900	1.242
1901	1.091
1902	0.858
1903	0.911
1904	0.761
1905	0.778
1906	0.563
1907	0.884
1908	0.962
1909	1.109
1910	1.049
1911	1.02
1912	1.195
1913	1.041
1914	1.231
1915	1.091
1916	1.122
1917	1.216
1918	1.177
1919	1.224
1920	0.984
1921	1.245
1922	1.306
1923	1.08
1924	1.077
1925	0.968
1926	1.001
1927	1.091
1928	1.229
1929	1.377
1930	1.342
1931	1.174
1932	1.122
1933	1.015
1934	0.791
1935	0.798
1936	0.866
1937	0.929
1938	0.839
1939	1.064
1940	0.985
1941	0.882
1942	0.896
1943	0.78
1944	0.884
1945	0.815
1946	0.943
1947	0.945
1948	0.969
1949	0.931
1950	0.99
1951	1.315
1952	1.147
1953	1.375
1954	1.055
1955	0.981
1956	1.01
1957	0.922
1958	1.071
1959	0.961
1960	0.964
1961	1.05
1962	1.104
1963	1.282
1964	1.401
1965	1.282
1966	1.194
1967	0.759
1968	0.884
1969	0.861
1970	0.782
1971	0.783
1972	0.853
1973	0.895
1974	1.189
1975	1.225
1976	1.143
1977	1.056
1978	1.089
1979	1.005
1980	0.978
1981	0.806
1982	0.837
1983	0.999
1984	1.125
1985	1.083
1986	0.92
1987	0.884
1988	1.047
1989	0.944
1990	1.059
1991	1.168
1992	1.067