ÃÂ¯ÃÂ»ÃÂ¿# northamerica_usa_mo042 - Lower Current 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/4889
#
# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: northamerica_usa_mo042 - Lower Current 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: Lower Current River
#	Location:
#	Country: United States
#	Northernmost_Latitude: 37.1
#	Southernmost_Latitude: 37.1
#	Easternmost_Longitude: -91.05
#	Westernmost_Longitude: -91.05
#	Elevation: 183 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_mo042B
#	Earliest_Year: 1391
#	Most_Recent_Year: 1991
#	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":"4.40531611472","T2":"16.6454718719","M1":"0.0221855940729","M2":"0.560175087461"}}
#--------------------
# Species
#	Species_Name: eastern red cedar
#	Species_Code: JUVI
#--------------------
# 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
1391	1.181
1392	1.065
1393	0.99
1394	0.739
1395	0.567
1396	0.812
1397	0.93
1398	0.803
1399	0.558
1400	0.544
1401	0.822
1402	0.72
1403	0.811
1404	1.247
1405	1.161
1406	1.007
1407	0.822
1408	0.528
1409	0.68
1410	0.833
1411	0.709
1412	0.923
1413	1.029
1414	1.343
1415	0.916
1416	1.294
1417	1.498
1418	1.458
1419	1.475
1420	1.333
1421	0.88
1422	1.069
1423	1.378
1424	0.99
1425	1.367
1426	1.501
1427	1.483
1428	1.384
1429	1.262
1430	0.796
1431	1.164
1432	1.331
1433	1.257
1434	1.154
1435	1.071
1436	1.006
1437	1.162
1438	1.366
1439	0.971
1440	1.2
1441	0.895
1442	1.03
1443	1.449
1444	1.126
1445	1.325
1446	0.973
1447	1.185
1448	1.169
1449	1.077
1450	1.806
1451	0.937
1452	1.069
1453	0.83
1454	0.947
1455	0.781
1456	0.76
1457	0.59
1458	0.748
1459	1.077
1460	0.764
1461	0.824
1462	0.707
1463	0.715
1464	0.637
1465	0.76
1466	0.611
1467	0.599
1468	0.673
1469	0.639
1470	0.857
1471	0.658
1472	0.731
1473	0.653
1474	1.128
1475	1.016
1476	0.921
1477	0.722
1478	1.378
1479	1.603
1480	1.403
1481	1.341
1482	1.349
1483	0.86
1484	0.694
1485	1.204
1486	0.932
1487	1.311
1488	1.029
1489	0.664
1490	1.216
1491	1.097
1492	0.775
1493	0.782
1494	1.292
1495	0.832
1496	1.092
1497	1.227
1498	1.138
1499	1.119
1500	1.435
1501	0.98
1502	1.09
1503	0.906
1504	1.108
1505	0.793
1506	0.793
1507	1.17
1508	0.803
1509	0.598
1510	0.597
1511	0.656
1512	0.764
1513	1.211
1514	1.278
1515	1.121
1516	1.208
1517	0.899
1518	0.987
1519	0.974
1520	1.151
1521	0.928
1522	0.809
1523	0.854
1524	0.921
1525	0.867
1526	0.973
1527	1.293
1528	1.086
1529	1.008
1530	0.954
1531	1.009
1532	1.112
1533	0.866
1534	0.901
1535	0.794
1536	1.154
1537	1.117
1538	0.862
1539	1.053
1540	1.353
1541	0.853
1542	1.027
1543	0.893
1544	0.829
1545	0.737
1546	1.062
1547	1.247
1548	1.446
1549	1.312
1550	1.338
1551	1.32
1552	1.066
1553	1.434
1554	1.228
1555	1.089
1556	1.081
1557	1.27
1558	1.108
1559	0.834
1560	0.95
1561	0.591
1562	0.723
1563	0.963
1564	0.753
1565	0.917
1566	0.922
1567	1.048
1568	0.945
1569	0.904
1570	0.695
1571	0.773
1572	0.989
1573	0.757
1574	0.738
1575	0.846
1576	0.872
1577	0.707
1578	0.934
1579	0.977
1580	1.003
1581	0.987
1582	0.768
1583	0.83
1584	0.988
1585	1.019
1586	1.162
1587	0.753
1588	1.06
1589	0.842
1590	0.734
1591	0.68
1592	1.004
1593	0.929
1594	0.952
1595	0.868
1596	1.281
1597	0.696
1598	0.799
1599	0.701
1600	0.944
1601	0.798
1602	0.719
1603	0.835
1604	0.69
1605	0.789
1606	0.804
1607	0.806
1608	0.66
1609	0.724
1610	0.964
1611	0.761
1612	0.826
1613	0.899
1614	0.874
1615	1.12
1616	0.927
1617	0.726
1618	0.918
1619	0.923
1620	0.805
1621	0.959
1622	0.98
1623	0.966
1624	1.057
1625	0.809
1626	0.751
1627	0.83
1628	0.777
1629	1.013
1630	0.962
1631	0.935
1632	1.236
1633	0.976
1634	1.148
1635	0.938
1636	1.033
1637	1.232
1638	1.005
1639	1.03
1640	1.216
1641	1.194
1642	0.948
1643	0.928
1644	0.965
1645	0.743
1646	0.662
1647	1.186
1648	0.99
1649	1.16
1650	0.68
1651	0.907
1652	0.906
1653	0.917
1654	0.622
1655	0.583
1656	0.912
1657	0.811
1658	1.032
1659	1.016
1660	0.829
1661	1.169
1662	1.084
1663	1.206
1664	1.123
1665	0.888
1666	1.155
1667	1.071
1668	0.883
1669	0.911
1670	0.908
1671	0.925
1672	0.99
1673	1.114
1674	0.966
1675	0.859
1676	0.89
1677	1.127
1678	1.052
1679	1.02
1680	0.866
1681	0.826
1682	1.065
1683	1.161
1684	0.789
1685	1.056
1686	1.131
1687	1.011
1688	0.7
1689	0.708
1690	1.209
1691	1.052
1692	1.366
1693	0.987
1694	1.436
1695	1.504
1696	1.262
1697	1.146
1698	0.905
1699	1.352
1700	1.095
1701	1.193
1702	1.029
1703	0.732
1704	0.71
1705	0.619
1706	0.741
1707	1.096
1708	1.002
1709	1.068
1710	1.055
1711	1.071
1712	1.146
1713	1.002
1714	1.098
1715	1.055
1716	1.165
1717	1.077
1718	0.954
1719	0.972
1720	0.981
1721	1.042
1722	0.959
1723	0.835
1724	1.004
1725	1.201
1726	1.301
1727	1.015
1728	0.944
1729	1.024
1730	0.985
1731	1.126
1732	1.292
1733	1.135
1734	0.635
1735	0.647
1736	0.68
1737	0.809
1738	0.979
1739	1.321
1740	1.336
1741	0.84
1742	0.603
1743	0.957
1744	0.922
1745	1.168
1746	0.874
1747	0.993
1748	0.892
1749	0.872
1750	0.983
1751	1.083
1752	1.134
1753	0.99
1754	1.303
1755	0.897
1756	1.226
1757	0.896
1758	1.114
1759	1.217
1760	1.049
1761	1.237
1762	0.903
1763	1.078
1764	0.865
1765	0.858
1766	0.933
1767	0.881
1768	0.874
1769	1.052
1770	1.089
1771	1.077
1772	0.816
1773	0.676
1774	0.697
1775	0.922
1776	1.239
1777	1.192
1778	1.195
1779	1.28
1780	1.019
1781	1.122
1782	1.083
1783	1.286
1784	0.59
1785	0.944
1786	1.01
1787	0.843
1788	0.966
1789	0.881
1790	0.654
1791	1.04
1792	0.986
1793	1.141
1794	1.125
1795	0.929
1796	1.073
1797	1.073
1798	1.126
1799	0.741
1800	1.011
1801	0.689
1802	0.997
1803	0.956
1804	1.002
1805	1.092
1806	1.043
1807	0.767
1808	1.261
1809	0.883
1810	0.954
1811	0.924
1812	1.076
1813	0.982
1814	1.088
1815	1.232
1816	0.997
1817	0.896
1818	0.672
1819	0.872
1820	0.747
1821	0.824
1822	0.88
1823	0.817
1824	1.133
1825	1.228
1826	0.704
1827	1.37
1828	1.188
1829	1.033
1830	1.121
1831	1.007
1832	0.872
1833	1.056
1834	1.086
1835	1.055
1836	0.842
1837	1.02
1838	0.872
1839	0.773
1840	1.202
1841	1.005
1842	1.215
1843	0.977
1844	0.939
1845	1.028
1846	1.026
1847	1.204
1848	1.087
1849	1.047
1850	0.981
1851	0.745
1852	0.703
1853	0.703
1854	0.937
1855	0.389
1856	0.877
1857	1.11
1858	1.412
1859	1.189
1860	0.839
1861	1.022
1862	1.075
1863	1.261
1864	0.943
1865	1.072
1866	0.968
1867	0.993
1868	0.698
1869	1.026
1870	0.792
1871	0.877
1872	0.643
1873	0.74
1874	0.816
1875	1.142
1876	1.419
1877	1.381
1878	1.369
1879	0.654
1880	1.051
1881	0.687
1882	1.305
1883	1.485
1884	1.269
1885	0.847
1886	0.723
1887	0.901
1888	0.856
1889	0.991
1890	0.687
1891	0.778
1892	0.812
1893	0.976
1894	0.867
1895	0.452
1896	0.785
1897	1.082
1898	0.839
1899	0.608
1900	0.999
1901	0.562
1902	0.481
1903	1.303
1904	1.337
1905	0.91
1906	0.809
1907	1.063
1908	0.849
1909	1.145
1910	0.857
1911	0.722
1912	0.727
1913	0.648
1914	0.608
1915	1.187
1916	1.151
1917	1.258
1918	0.745
1919	1.093
1920	0.878
1921	1.016
1922	0.985
1923	1.245
1924	1.317
1925	0.731
1926	0.755
1927	0.997
1928	1.176
1929	1.175
1930	0.761
1931	1.111
1932	0.873
1933	0.974
1934	0.79
1935	1.451
1936	0.758
1937	1.323
1938	1.422
1939	1.185
1940	0.911
1941	0.908
1942	1.042
1943	0.994
1944	0.938
1945	0.955
1946	0.932
1947	0.952
1948	0.885
1949	1.064
1950	0.914
1951	1.179
1952	0.966
1953	1.033
1954	1.005
1955	1.099
1956	1.332
1957	1.156
1958	0.981
1959	0.972
1960	0.841
1961	0.93
1962	0.755
1963	0.779
1964	0.807
1965	0.834
1966	0.856
1967	0.888
1968	0.766
1969	0.86
1970	0.81
1971	1.004
1972	0.996
1973	0.756
1974	1.303
1975	1.365
1976	1.555
1977	0.899
1978	0.853
1979	1.076
1980	0.954
1981	1.24
1982	1.351
1983	0.985
1984	0.95
1985	1.427
1986	1.39
1987	1.45
1988	1.09
1989	1.392
1990	0.982
1991	0.835