ÃÂ¯ÃÂ»ÃÂ¿# northamerica_usa_ak093 - Upper Nanatuk - Breitenmoser Tree Ring Chronology Data
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#		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.
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# Online_Resource:
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# Online_Resource: https://www.ncdc.noaa.gov/paleo/study/24611
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# Original_Source_URL:https://www.ncdc.noaa.gov/paleo/study/8603
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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_ak093 - Upper Nanatuk - 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.
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# 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: Upper Nanatuk
#	Location:
#	Country: United States
#	Northernmost_Latitude: 61.05
#	Southernmost_Latitude: 61.05
#	Easternmost_Longitude: -146.98
#	Westernmost_Longitude: -146.98
#	Elevation: 200 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_ak093B
#	Earliest_Year: 1472
#	Most_Recent_Year: 1999
#	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":"4.21307456673","T2":"16.4946691329","M1":"0.0223052308262","M2":"0.418582293946"}}
#--------------------
# Species
#	Species_Name: mountain hemlock
#	Species_Code: TSME
#--------------------
# 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
1472	1.264
1473	1.055
1474	0.758
1475	0.658
1476	0.706
1477	0.51
1478	0.593
1479	0.954
1480	0.936
1481	1.141
1482	0.604
1483	1.232
1484	0.692
1485	0.705
1486	0.57
1487	0.617
1488	0.924
1489	0.897
1490	1.135
1491	1.135
1492	0.77
1493	1.153
1494	1.444
1495	0.678
1496	1.62
1497	1.679
1498	1.027
1499	1.309
1500	1.18
1501	1.065
1502	0.814
1503	0.744
1504	0.79
1505	0.681
1506	0.594
1507	0.659
1508	0.647
1509	0.563
1510	0.78
1511	0.941
1512	0.975
1513	0.704
1514	1.001
1515	0.729
1516	0.65
1517	0.816
1518	0.867
1519	0.863
1520	1.227
1521	0.522
1522	0.632
1523	0.769
1524	0.595
1525	0.655
1526	0.749
1527	0.697
1528	0.423
1529	0.661
1530	0.837
1531	0.804
1532	0.532
1533	0.743
1534	0.52
1535	0.808
1536	1.187
1537	1.991
1538	1.392
1539	1.26
1540	1.137
1541	1.079
1542	0.704
1543	0.78
1544	1.299
1545	1.236
1546	1.033
1547	0.906
1548	0.872
1549	0.726
1550	0.879
1551	1.009
1552	0.724
1553	0.843
1554	1.006
1555	0.986
1556	1.078
1557	0.935
1558	1.126
1559	1.225
1560	0.942
1561	1.157
1562	1.216
1563	1.139
1564	0.842
1565	1.19
1566	1.184
1567	0.971
1568	0.868
1569	0.957
1570	1.214
1571	1.106
1572	0.897
1573	1.105
1574	1.15
1575	1.04
1576	0.975
1577	0.904
1578	1.036
1579	0.936
1580	0.954
1581	1.008
1582	1.118
1583	1.171
1584	0.881
1585	0.591
1586	0.99
1587	0.665
1588	0.708
1589	0.661
1590	0.715
1591	1.099
1592	1.015
1593	1.096
1594	1.311
1595	1.189
1596	1.103
1597	1.033
1598	1.085
1599	0.919
1600	0.761
1601	0.764
1602	0.67
1603	0.726
1604	0.835
1605	0.734
1606	0.688
1607	0.91
1608	1.248
1609	1.112
1610	1.071
1611	0.785
1612	0.891
1613	0.663
1614	0.791
1615	0.804
1616	1.053
1617	1.084
1618	0.898
1619	0.983
1620	0.743
1621	0.998
1622	1.209
1623	0.873
1624	0.763
1625	0.721
1626	0.797
1627	0.941
1628	1.049
1629	1.03
1630	1.268
1631	1.135
1632	1.351
1633	1.126
1634	1.194
1635	1.216
1636	1.144
1637	1.068
1638	1.154
1639	0.836
1640	1.051
1641	0.906
1642	0.885
1643	0.86
1644	0.859
1645	0.972
1646	0.937
1647	1.174
1648	1.055
1649	1.165
1650	1.024
1651	1.324
1652	1.196
1653	0.901
1654	0.877
1655	0.782
1656	1
1657	1.011
1658	0.573
1659	0.62
1660	0.648
1661	0.801
1662	0.748
1663	0.575
1664	0.529
1665	0.693
1666	0.958
1667	0.966
1668	1.019
1669	1.122
1670	1.085
1671	1.047
1672	0.753
1673	0.909
1674	0.873
1675	0.823
1676	0.813
1677	0.509
1678	0.616
1679	0.342
1680	0.552
1681	0.918
1682	1.176
1683	1.448
1684	1.421
1685	1.372
1686	1.317
1687	1.311
1688	1.196
1689	1.141
1690	0.865
1691	0.999
1692	1.381
1693	1.343
1694	1.285
1695	1.327
1696	0.913
1697	0.553
1698	0.289
1699	0.442
1700	0.8
1701	0.947
1702	1.022
1703	1.291
1704	1.189
1705	1.341
1706	0.997
1707	1.046
1708	1.253
1709	1.089
1710	1.083
1711	0.827
1712	1.12
1713	1.324
1714	1.297
1715	1.218
1716	0.839
1717	0.907
1718	1.222
1719	1.71
1720	1.377
1721	1.566
1722	1.648
1723	1.789
1724	1.575
1725	1.175
1726	0.813
1727	0.893
1728	1.203
1729	1.182
1730	0.828
1731	0.791
1732	0.927
1733	1.083
1734	0.966
1735	1.018
1736	1.109
1737	1.105
1738	0.773
1739	1.057
1740	0.971
1741	1.067
1742	1.074
1743	1.144
1744	0.716
1745	0.988
1746	0.79
1747	0.89
1748	1.063
1749	1.174
1750	1.057
1751	1.285
1752	0.929
1753	0.828
1754	0.565
1755	0.421
1756	0.5
1757	0.644
1758	0.868
1759	1.049
1760	1.195
1761	1.271
1762	1.284
1763	1.301
1764	0.933
1765	1.242
1766	1.113
1767	1.057
1768	0.629
1769	0.779
1770	0.702
1771	0.611
1772	0.83
1773	0.949
1774	0.999
1775	0.845
1776	0.905
1777	0.931
1778	0.796
1779	0.898
1780	0.9
1781	0.94
1782	0.798
1783	1.067
1784	0.956
1785	0.907
1786	0.94
1787	0.741
1788	1.043
1789	0.89
1790	0.748
1791	0.857
1792	0.917
1793	1.031
1794	1.071
1795	1.229
1796	1.041
1797	1.216
1798	1.095
1799	1.102
1800	0.884
1801	0.833
1802	0.927
1803	1.084
1804	1.142
1805	1.14
1806	1.077
1807	1.184
1808	1.009
1809	0.901
1810	0.784
1811	0.664
1812	0.602
1813	0.675
1814	0.712
1815	0.783
1816	1.01
1817	0.859
1818	1.098
1819	1.08
1820	1.044
1821	1.1
1822	1.674
1823	1.254
1824	1.387
1825	1.294
1826	1.031
1827	1.056
1828	0.976
1829	1.148
1830	0.712
1831	0.767
1832	0.845
1833	1.123
1834	1.103
1835	1.101
1836	1.146
1837	1.174
1838	1.155
1839	1.152
1840	1.372
1841	1.241
1842	0.938
1843	1.054
1844	1.024
1845	1.252
1846	1.312
1847	1.042
1848	1.079
1849	0.927
1850	0.926
1851	1.093
1852	1.028
1853	0.962
1854	0.799
1855	0.738
1856	0.744
1857	0.826
1858	0.858
1859	0.82
1860	0.84
1861	1.216
1862	0.76
1863	0.81
1864	0.787
1865	0.887
1866	0.992
1867	1.364
1868	1.371
1869	1.142
1870	1.18
1871	1.064
1872	1.137
1873	1.006
1874	0.823
1875	0.828
1876	0.435
1877	0.424
1878	0.669
1879	0.781
1880	0.688
1881	0.762
1882	0.588
1883	0.561
1884	0.737
1885	1.031
1886	1.032
1887	0.923
1888	1.073
1889	1.063
1890	0.747
1891	0.742
1892	1.313
1893	1.486
1894	0.725
1895	1.097
1896	1.16
1897	0.836
1898	1.101
1899	1.113
1900	1.358
1901	1.478
1902	1.209
1903	0.761
1904	0.885
1905	0.99
1906	1.258
1907	0.934
1908	1.071
1909	1.037
1910	0.939
1911	1.167
1912	0.987
1913	0.873
1914	0.903
1915	1.273
1916	1.162
1917	1.331
1918	1.223
1919	1.388
1920	1.31
1921	1.445
1922	1.266
1923	1.27
1924	1.371
1925	1.106
1926	1.334
1927	1.317
1928	1.342
1929	1.402
1930	1.253
1931	1.141
1932	0.929
1933	1.165
1934	0.954
1935	1.005
1936	0.826
1937	0.553
1938	0.508
1939	0.595
1940	0.766
1941	0.829
1942	1.149
1943	0.95
1944	0.696
1945	0.979
1946	0.865
1947	1.234
1948	1.29
1949	0.989
1950	1.01
1951	0.826
1952	0.844
1953	0.919
1954	0.807
1955	0.519
1956	0.458
1957	1.099
1958	0.98
1959	0.85
1960	1.037
1961	1.029
1962	1.159
1963	1.245
1964	1.124
1965	0.937
1966	0.969
1967	0.771
1968	0.719
1969	0.657
1970	0.665
1971	0.574
1972	0.435
1973	0.511
1974	0.924
1975	0.702
1976	0.827
1977	0.655
1978	0.678
1979	0.624
1980	0.491
1981	0.825
1982	0.841
1983	0.912
1984	1.014
1985	0.932
1986	0.891
1987	0.733
1988	0.76
1989	0.599
1990	0.878
1991	0.905
1992	0.988
1993	0.955
1994	0.94
1995	1.021
1996	1.156
1997	1.093
1998	0.681
1999	0.76