ÃÂ¯ÃÂ»ÃÂ¿# northamerica_usa_ca669 - Cottonwood Lower - 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/8538
#
# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: northamerica_usa_ca669 - Cottonwood Lower - 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: Cottonwood Lower
#	Location:
#	Country: United States
#	Northernmost_Latitude: 37.52
#	Southernmost_Latitude: 37.52
#	Easternmost_Longitude: -118.17
#	Westernmost_Longitude: -118.17
#	Elevation: 3190 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_ca669B
#	Earliest_Year: 1400
#	Most_Recent_Year: 2006
#	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":"4.6719726283","T2":"17.0209082935","M1":"0.023067015547","M2":"0.449205892751"}}
#--------------------
# Species
#	Species_Name: Intermountain bristlecone pine
#	Species_Code: PILO
#--------------------
# 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
1400	0.853
1401	0.629
1402	1.037
1403	1.039
1404	1.015
1405	1.045
1406	1.383
1407	0.69
1408	0.969
1409	1.031
1410	0.723
1411	1.159
1412	1.068
1413	0.914
1414	0.92
1415	0.873
1416	1.034
1417	1.177
1418	1.131
1419	1.238
1420	1.359
1421	1.098
1422	1.232
1423	1.678
1424	1.502
1425	0.896
1426	0.54
1427	0.991
1428	1.379
1429	1.235
1430	1.009
1431	0.45
1432	0.855
1433	0.919
1434	0.583
1435	1.154
1436	1.197
1437	0.898
1438	0.579
1439	0.887
1440	1.078
1441	0.858
1442	0.437
1443	1
1444	0.903
1445	0.781
1446	0.596
1447	0.761
1448	0.711
1449	0.831
1450	0.394
1451	0.827
1452	0.77
1453	0.913
1454	0.902
1455	0.897
1456	0.438
1457	0.539
1458	0.858
1459	0.665
1460	0.77
1461	0.801
1462	0.756
1463	1.045
1464	0.845
1465	0.946
1466	0.895
1467	1.155
1468	0.518
1469	1.179
1470	1.242
1471	1.097
1472	1.125
1473	0.821
1474	0.87
1475	0.397
1476	1.081
1477	1.21
1478	1.107
1479	0.753
1480	1.06
1481	1.132
1482	0.825
1483	1.037
1484	1.508
1485	1.308
1486	1.503
1487	1.642
1488	1.353
1489	1.557
1490	1.431
1491	1.34
1492	0.637
1493	1.331
1494	1.591
1495	1.036
1496	0.993
1497	0.255
1498	0.801
1499	0.96
1500	0.289
1501	0.844
1502	1.055
1503	1.109
1504	0.921
1505	0.635
1506	0.594
1507	0.859
1508	0.753
1509	1.07
1510	1.235
1511	0.965
1512	0.82
1513	1.015
1514	1.128
1515	0.493
1516	1.251
1517	1.13
1518	0.947
1519	1.115
1520	1.126
1521	0.659
1522	0.8
1523	0.592
1524	1.145
1525	1.073
1526	1.112
1527	1.338
1528	0.897
1529	0.832
1530	0.933
1531	0.8
1532	0.452
1533	0.624
1534	1.031
1535	1.196
1536	1.18
1537	1.127
1538	0.921
1539	1.466
1540	1.007
1541	0.66
1542	0.6
1543	0.931
1544	0.854
1545	0.594
1546	0.841
1547	0.674
1548	0.538
1549	1.001
1550	0.968
1551	0.939
1552	1.002
1553	1.082
1554	1.132
1555	1.173
1556	1.141
1557	1.124
1558	0.835
1559	1.037
1560	1.17
1561	1.211
1562	1.239
1563	1.131
1564	1.087
1565	1.085
1566	0.846
1567	1.186
1568	1.245
1569	0.916
1570	1.169
1571	0.563
1572	1.019
1573	0.945
1574	1.131
1575	1.043
1576	0.729
1577	0.902
1578	0.847
1579	0.557
1580	0.377
1581	1.146
1582	0.993
1583	1.156
1584	0.923
1585	0.888
1586	1.008
1587	1.171
1588	1.064
1589	1.152
1590	0.49
1591	0.905
1592	0.591
1593	0.75
1594	1.112
1595	0.845
1596	1.081
1597	1.056
1598	1.232
1599	1.13
1600	0.547
1601	1.128
1602	1.026
1603	1.37
1604	1.402
1605	1.464
1606	1.247
1607	1.177
1608	1.579
1609	1.56
1610	1.615
1611	1.509
1612	1.165
1613	1.244
1614	1.44
1615	1.472
1616	1.596
1617	1.711
1618	1.327
1619	1.387
1620	1.293
1621	1.522
1622	1.164
1623	1.145
1624	0.801
1625	1.411
1626	0.678
1627	1.1
1628	1.175
1629	0.92
1630	0.899
1631	0.774
1632	0.666
1633	1.009
1634	1.114
1635	1.072
1636	1.243
1637	0.99
1638	0.877
1639	1.088
1640	1.367
1641	0.973
1642	0.983
1643	1.222
1644	1.24
1645	1.08
1646	1.02
1647	0.638
1648	1.347
1649	1.293
1650	0.984
1651	1.348
1652	0.953
1653	0.836
1654	0.556
1655	0.416
1656	0.745
1657	0.835
1658	0.801
1659	0.877
1660	1.099
1661	1.182
1662	0.927
1663	0.92
1664	1.208
1665	1.226
1666	0.996
1667	0.96
1668	0.418
1669	0.622
1670	0.298
1671	0.83
1672	0.744
1673	0.885
1674	1.022
1675	0.668
1676	0.771
1677	0.789
1678	0.944
1679	1.022
1680	1.227
1681	0.575
1682	1.153
1683	1.297
1684	1.068
1685	0.873
1686	0.59
1687	0.928
1688	0.873
1689	0.859
1690	0.556
1691	0.793
1692	0.833
1693	0.978
1694	1.081
1695	0.965
1696	0.943
1697	1.168
1698	1.11
1699	1.01
1700	1.18
1701	1.048
1702	0.977
1703	0.672
1704	0.885
1705	0.971
1706	0.981
1707	0.564
1708	0.442
1709	0.895
1710	0.877
1711	0.865
1712	0.907
1713	0.814
1714	0.76
1715	0.98
1716	0.791
1717	0.864
1718	1.035
1719	1.09
1720	1.249
1721	1.36
1722	0.884
1723	0.885
1724	1.234
1725	1.206
1726	1.309
1727	1.435
1728	1.421
1729	0.873
1730	1.142
1731	1.046
1732	1.314
1733	0.861
1734	1.188
1735	0.659
1736	1.033
1737	0.941
1738	0.86
1739	0.778
1740	1.028
1741	1.344
1742	1.037
1743	1.247
1744	1.204
1745	1.109
1746	1.245
1747	1.457
1748	1.153
1749	1.14
1750	1.081
1751	1.342
1752	0.999
1753	0.641
1754	0.796
1755	0.993
1756	0.937
1757	0.817
1758	1.219
1759	0.894
1760	1.416
1761	1.421
1762	1.109
1763	0.805
1764	0.909
1765	0.79
1766	0.874
1767	1.13
1768	1.099
1769	1.172
1770	1.015
1771	1.244
1772	0.988
1773	1.09
1774	1.056
1775	1.212
1776	1.113
1777	0.656
1778	0.879
1779	1.021
1780	0.757
1781	0.7
1782	0.198
1783	0.723
1784	0.773
1785	0.943
1786	0.752
1787	0.904
1788	0.958
1789	0.811
1790	0.877
1791	1.054
1792	1.019
1793	0.848
1794	0.651
1795	0.396
1796	0.769
1797	1.053
1798	1.074
1799	1.121
1800	1.073
1801	1.061
1802	1.096
1803	1.089
1804	1.201
1805	1.129
1806	1.052
1807	1.005
1808	1.013
1809	1.131
1810	1.064
1811	1.226
1812	0.596
1813	0.595
1814	0.791
1815	0.966
1816	0.991
1817	1.284
1818	1.09
1819	1.014
1820	0.745
1821	1.011
1822	0.836
1823	0.821
1824	0.731
1825	1.05
1826	1.12
1827	1.117
1828	1.128
1829	0.733
1830	0.991
1831	1.034
1832	1.06
1833	1.1
1834	0.959
1835	0.789
1836	0.434
1837	0.774
1838	1.033
1839	1.15
1840	1.144
1841	0.928
1842	0.795
1843	1.024
1844	0.858
1845	0.684
1846	0.906
1847	0.777
1848	1
1849	1.007
1850	0.964
1851	0.862
1852	1.17
1853	1.151
1854	1.126
1855	1.046
1856	0.55
1857	0.551
1858	0.624
1859	0.86
1860	1.066
1861	0.906
1862	1.118
1863	0.886
1864	1.08
1865	0.774
1866	1.065
1867	1.093
1868	1.397
1869	1.331
1870	1.093
1871	1.174
1872	1.162
1873	0.804
1874	0.96
1875	1
1876	0.911
1877	1.026
1878	0.996
1879	0.713
1880	0.712
1881	0.78
1882	1.012
1883	0.943
1884	0.859
1885	0.984
1886	0.965
1887	0.939
1888	0.917
1889	0.863
1890	0.827
1891	1.091
1892	1.082
1893	0.896
1894	0.891
1895	0.946
1896	0.724
1897	0.943
1898	1.139
1899	0.557
1900	0.987
1901	1.147
1902	1.077
1903	1.211
1904	0.94
1905	1.224
1906	1.207
1907	1.286
1908	1.287
1909	1.391
1910	0.959
1911	1.538
1912	1.27
1913	1.349
1914	1.527
1915	1.48
1916	1.312
1917	1.344
1918	1.365
1919	1.548
1920	1.399
1921	1.361
1922	1.332
1923	0.958
1924	0.924
1925	1.018
1926	1.209
1927	1.197
1928	1.179
1929	0.557
1930	1.068
1931	1.168
1932	1.03
1933	1.064
1934	0.681
1935	0.731
1936	0.712
1937	0.962
1938	1.077
1939	1.002
1940	0.984
1941	0.847
1942	0.947
1943	0.94
1944	0.816
1945	0.855
1946	0.972
1947	1.039
1948	0.649
1949	0.786
1950	0.675
1951	0.939
1952	0.816
1953	1.005
1954	0.731
1955	0.811
1956	0.797
1957	0.911
1958	0.936
1959	0.725
1960	0.487
1961	0.588
1962	0.926
1963	1.075
1964	0.773
1965	0.962
1966	0.704
1967	1.115
1968	1.236
1969	1.573
1970	0.811
1971	0.964
1972	0.86
1973	1.187
1974	0.936
1975	1.03
1976	1.046
1977	1.328
1978	1.111
1979	0.981
1980	1.335
1981	1.286
1982	1.364
1983	1.352
1984	1.151
1985	1.362
1986	1.112
1987	1.125
1988	1.316
1989	1.035
1990	0.781
1991	0.819
1992	0.873
1993	1.053
1994	1.005
1995	0.879
1996	0.98
1997	1.171
1998	1.097
1999	1.058
2000	0.891
2001	1.031
2002	0.466
2003	0.769
2004	0.6
2005	1.03
2006	1.172