ÃÂ¯ÃÂ»ÃÂ¿# northamerica_usa_il016 - Cache River - 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/4821
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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_il016 - Cache River - 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: Cache River
#	Location:
#	Country: United States
#	Northernmost_Latitude: 37.27
#	Southernmost_Latitude: 37.27
#	Easternmost_Longitude: -89.05
#	Westernmost_Longitude: -89.05
#	Elevation: 101 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_il016B
#	Earliest_Year: 1468
#	Most_Recent_Year: 1985
#	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":"5.09833160397","T2":"19.5717420439","M1":"0.0223092524988","M2":"0.575732410029"}}
#--------------------
# Species
#	Species_Name: baldcypress
#	Species_Code: TADI
#--------------------
# 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
1468	0.772
1469	0.86
1470	1.367
1471	2.295
1472	1.225
1473	0.789
1474	0.655
1475	0.644
1476	1.069
1477	0.964
1478	1.125
1479	0.682
1480	1.087
1481	1.494
1482	0.613
1483	0.505
1484	0.53
1485	1.325
1486	0.983
1487	1.432
1488	0.9
1489	0.528
1490	0.45
1491	0.434
1492	0.711
1493	1.39
1494	0.996
1495	0.939
1496	0.681
1497	0.53
1498	0.554
1499	0.417
1500	0.688
1501	0.637
1502	1.2
1503	0.715
1504	1.159
1505	0.643
1506	0.4
1507	0.395
1508	0.786
1509	0.779
1510	0.614
1511	0.367
1512	0.471
1513	0.591
1514	0.667
1515	1.213
1516	1.46
1517	1.9
1518	2.939
1519	1.99
1520	1.213
1521	1.041
1522	2.367
1523	1.592
1524	1.625
1525	1.215
1526	1.044
1527	0.567
1528	0.838
1529	0.779
1530	1.214
1531	1.171
1532	0.917
1533	1.015
1534	0.534
1535	0.797
1536	0.705
1537	1.316
1538	0.963
1539	0.654
1540	0.814
1541	0.945
1542	0.309
1543	1.246
1544	0.567
1545	1.021
1546	1.589
1547	1.135
1548	1.455
1549	1.465
1550	0.717
1551	0.701
1552	1.274
1553	0.525
1554	0.668
1555	0.4
1556	0.67
1557	0.781
1558	0.597
1559	0.73
1560	0.66
1561	1.118
1562	0.742
1563	0.69
1564	0.423
1565	0.618
1566	0.486
1567	0.768
1568	0.379
1569	0.439
1570	0.457
1571	0.228
1572	0.663
1573	1.028
1574	1.139
1575	1.606
1576	1.307
1577	1.556
1578	2.306
1579	1.385
1580	1.556
1581	1.96
1582	1.746
1583	1.259
1584	2.17
1585	1.015
1586	1.502
1587	0.795
1588	1.344
1589	1.4
1590	0.593
1591	0.226
1592	0.762
1593	1.03
1594	1.14
1595	1.826
1596	1.344
1597	1.184
1598	0.948
1599	1.526
1600	1.437
1601	0.907
1602	0.509
1603	0.534
1604	0.72
1605	1.313
1606	1.319
1607	1.442
1608	0.604
1609	0.709
1610	1.25
1611	1.235
1612	0.842
1613	1.35
1614	1.045
1615	1.224
1616	0.906
1617	0.885
1618	0.965
1619	0.818
1620	0.634
1621	0.804
1622	1.048
1623	1.341
1624	1.286
1625	1.246
1626	1.332
1627	0.652
1628	0.853
1629	0.807
1630	0.905
1631	0.879
1632	0.841
1633	0.926
1634	0.769
1635	0.571
1636	0.687
1637	0.688
1638	0.607
1639	0.654
1640	0.75
1641	0.687
1642	0.812
1643	0.716
1644	0.649
1645	0.723
1646	0.211
1647	0.64
1648	0.48
1649	0.903
1650	0.592
1651	1.307
1652	0.588
1653	0.947
1654	0.731
1655	0.79
1656	1.106
1657	1.136
1658	1.093
1659	1.151
1660	0.845
1661	0.773
1662	0.71
1663	0.777
1664	0.845
1665	1.125
1666	0.897
1667	0.536
1668	0.808
1669	0.821
1670	0.629
1671	0.434
1672	1.209
1673	1.26
1674	1.366
1675	1.376
1676	1.343
1677	0.855
1678	1.354
1679	1.349
1680	1.456
1681	1.454
1682	1.107
1683	1.53
1684	1.142
1685	1.475
1686	1.422
1687	0.739
1688	1.096
1689	1.249
1690	0.994
1691	0.073
1692	0.84
1693	1.048
1694	1.572
1695	0.953
1696	1.116
1697	1.077
1698	1.139
1699	0.973
1700	1.343
1701	1.302
1702	1.215
1703	0.983
1704	0.868
1705	0.462
1706	1.085
1707	0.941
1708	0.854
1709	0.406
1710	0.765
1711	1.051
1712	0.772
1713	1.104
1714	1.173
1715	1.175
1716	0.901
1717	0.768
1718	0.921
1719	0.854
1720	0.404
1721	0.53
1722	0.663
1723	0.426
1724	0.973
1725	0.681
1726	1.143
1727	0.756
1728	0.641
1729	1.07
1730	0.68
1731	0.846
1732	0.626
1733	0.548
1734	1.225
1735	1.231
1736	0.314
1737	0.041
1738	0.728
1739	0.9
1740	1.301
1741	0.952
1742	1.113
1743	1.125
1744	0.776
1745	1.242
1746	0.74
1747	1.01
1748	0.795
1749	0.626
1750	0.853
1751	0.379
1752	0.434
1753	0.724
1754	0.833
1755	0.632
1756	1.213
1757	0.896
1758	1.726
1759	1.527
1760	1.114
1761	1.613
1762	0.77
1763	0.65
1764	0.942
1765	0.455
1766	0.472
1767	0.066
1768	0.821
1769	0.572
1770	0.871
1771	0.864
1772	1.038
1773	0.729
1774	1.702
1775	1.042
1776	1.504
1777	1.001
1778	0.995
1779	0.736
1780	0.504
1781	0.751
1782	0.911
1783	0.856
1784	0.688
1785	0.344
1786	0.691
1787	0.557
1788	0.607
1789	0.613
1790	0.688
1791	1.247
1792	0.896
1793	1.497
1794	1.385
1795	1.569
1796	1.679
1797	1.701
1798	1.29
1799	0.944
1800	1.123
1801	1.066
1802	1.627
1803	1.569
1804	2.188
1805	1.386
1806	1.611
1807	1.251
1808	1.185
1809	1.11
1810	1.173
1811	1.031
1812	1.209
1813	1.109
1814	0.895
1815	0.579
1816	0.513
1817	0.775
1818	0.321
1819	0.746
1820	0.462
1821	0.921
1822	0.777
1823	0.901
1824	1.777
1825	0.751
1826	0.873
1827	0.696
1828	0.968
1829	0.686
1830	1.032
1831	1.014
1832	0.995
1833	0.848
1834	0.617
1835	0.774
1836	0.438
1837	0.745
1838	0.422
1839	0.424
1840	1.245
1841	0.523
1842	0.994
1843	1.197
1844	1.115
1845	1.036
1846	0.914
1847	0.988
1848	0.955
1849	0.918
1850	0.729
1851	0.726
1852	0.558
1853	0.395
1854	0.88
1855	0.584
1856	0.727
1857	0.833
1858	0.605
1859	0.868
1860	0.997
1861	0.851
1862	1.042
1863	0.867
1864	0.719
1865	0.298
1866	0.877
1867	1.048
1868	0.784
1869	1.109
1870	0.847
1871	0.521
1872	0.612
1873	0.651
1874	0.143
1875	0.937
1876	1.244
1877	0.724
1878	1.032
1879	0.732
1880	1.055
1881	0.647
1882	1.191
1883	1.366
1884	1.402
1885	1.224
1886	0.974
1887	0.785
1888	1
1889	1.45
1890	1.007
1891	1.064
1892	0.994
1893	1.27
1894	1.009
1895	0.569
1896	1.888
1897	0.605
1898	1.121
1899	0.974
1900	1.212
1901	0.38
1902	0.343
1903	0.526
1904	0.679
1905	0.868
1906	0.877
1907	1.328
1908	1.348
1909	1.4
1910	1.526
1911	0.657
1912	1.322
1913	0.403
1914	0.339
1915	0.549
1916	0.815
1917	0.637
1918	0.509
1919	0.256
1920	0.537
1921	0.619
1922	0.917
1923	1.134
1924	0.935
1925	1.09
1926	0.787
1927	1.267
1928	1.627
1929	1.235
1930	0.816
1931	0.76
1932	0.876
1933	0.901
1934	0.906
1935	1.617
1936	0.881
1937	1.705
1938	1.631
1939	1.123
1940	1.397
1941	1.137
1942	1.178
1943	1.139
1944	1.125
1945	1.411
1946	1.392
1947	1.456
1948	1.777
1949	1.644
1950	1.272
1951	1.132
1952	1.026
1953	0.846
1954	1.147
1955	1.763
1956	0.521
1957	1.662
1958	1.019
1959	1.115
1960	0.945
1961	1.237
1962	0.803
1963	0.756
1964	0.611
1965	1.653
1966	0.538
1967	0.832
1968	0.676
1969	1.091
1970	0.913
1971	0.45
1972	1.222
1973	1.283
1974	0.986
1975	1.084
1976	1.374
1977	0.687
1978	0.783
1979	0.786
1980	0.595
1981	0.848
1982	1.209
1983	0.808
1984	0.815
1985	1.35