ÃÂ¯ÃÂ»ÃÂ¿# northamerica_usa_ak028 - Wittier Canal - 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/5251
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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_ak028 - Wittier Canal - 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: Wittier Canal
#	Location:
#	Country: United States
#	Northernmost_Latitude: 60.83
#	Southernmost_Latitude: 60.83
#	Easternmost_Longitude: -148.58
#	Westernmost_Longitude: -148.58
#	Elevation: 300 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_ak028B
#	Earliest_Year: 1412
#	Most_Recent_Year: 1991
#	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":"5.23876181311","T2":"16.899020046","M1":"0.0223492681561","M2":"0.395873637696"}}
#--------------------
# 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
1412	1.204
1413	1.207
1414	1.137
1415	0.804
1416	1.062
1417	1.096
1418	1.39
1419	1.755
1420	1.682
1421	1.246
1422	1.112
1423	0.979
1424	0.89
1425	0.808
1426	0.965
1427	0.922
1428	1.083
1429	1.105
1430	0.897
1431	0.745
1432	0.762
1433	0.816
1434	0.942
1435	0.916
1436	1.086
1437	1.021
1438	1.081
1439	1.243
1440	1.157
1441	0.9
1442	0.644
1443	0.674
1444	0.743
1445	0.769
1446	0.962
1447	0.814
1448	0.811
1449	0.762
1450	0.688
1451	0.793
1452	0.875
1453	0.667
1454	0.77
1455	0.669
1456	0.719
1457	0.706
1458	0.966
1459	0.994
1460	0.88
1461	0.823
1462	0.751
1463	0.595
1464	0.698
1465	0.77
1466	0.424
1467	0.93
1468	0.706
1469	0.564
1470	0.78
1471	0.815
1472	0.741
1473	0.851
1474	1.244
1475	1.189
1476	1.274
1477	1.178
1478	1.565
1479	1.212
1480	1.085
1481	1.431
1482	1.549
1483	1.112
1484	0.72
1485	0.98
1486	0.929
1487	0.801
1488	1.301
1489	1.127
1490	0.845
1491	0.721
1492	0.614
1493	0.737
1494	0.911
1495	0.774
1496	0.931
1497	0.839
1498	0.81
1499	0.921
1500	0.987
1501	0.889
1502	0.881
1503	1.015
1504	1.077
1505	0.62
1506	0.616
1507	0.933
1508	0.873
1509	0.982
1510	0.614
1511	0.61
1512	0.9
1513	0.814
1514	0.962
1515	0.848
1516	0.682
1517	0.931
1518	0.842
1519	1.023
1520	0.779
1521	0.634
1522	0.827
1523	0.774
1524	0.949
1525	0.967
1526	1.246
1527	0.797
1528	0.69
1529	0.914
1530	1.013
1531	0.948
1532	0.545
1533	0.68
1534	1.128
1535	1.343
1536	1.384
1537	1.496
1538	1.253
1539	1.155
1540	1.03
1541	0.851
1542	0.638
1543	0.85
1544	1.335
1545	1.32
1546	1.236
1547	1.135
1548	1.212
1549	1.003
1550	1.01
1551	0.969
1552	0.59
1553	0.957
1554	1.152
1555	1.065
1556	1.223
1557	1.004
1558	1.519
1559	1.528
1560	1.214
1561	1.284
1562	1.158
1563	1.128
1564	0.947
1565	1.095
1566	0.882
1567	0.92
1568	0.939
1569	0.826
1570	0.983
1571	1.043
1572	1.02
1573	1.115
1574	1.136
1575	1.09
1576	1.029
1577	0.956
1578	0.911
1579	0.839
1580	0.617
1581	0.701
1582	0.956
1583	1.1
1584	0.921
1585	0.731
1586	0.889
1587	0.635
1588	0.654
1589	0.943
1590	1.383
1591	1.614
1592	1.281
1593	1.183
1594	1.225
1595	1.195
1596	1.077
1597	1.192
1598	0.893
1599	0.6
1600	0.714
1601	0.848
1602	0.8
1603	0.924
1604	0.862
1605	0.831
1606	0.991
1607	1.119
1608	1.057
1609	0.923
1610	0.649
1611	0.715
1612	0.833
1613	0.867
1614	0.964
1615	1.016
1616	1.123
1617	1.19
1618	0.908
1619	0.973
1620	0.905
1621	1.017
1622	0.965
1623	0.656
1624	0.972
1625	1.069
1626	1.2
1627	1.033
1628	0.584
1629	0.319
1630	0.523
1631	0.741
1632	1.233
1633	1.022
1634	1.179
1635	1.222
1636	0.986
1637	0.957
1638	0.931
1639	0.52
1640	0.717
1641	0.745
1642	1.057
1643	1.006
1644	1.004
1645	1.264
1646	1.25
1647	1.243
1648	0.91
1649	0.593
1650	0.554
1651	0.866
1652	0.96
1653	0.848
1654	0.942
1655	1.069
1656	1.145
1657	1.004
1658	0.893
1659	0.98
1660	0.923
1661	0.777
1662	0.623
1663	0.393
1664	0.359
1665	0.599
1666	0.79
1667	0.687
1668	0.559
1669	0.658
1670	0.621
1671	0.82
1672	0.689
1673	0.78
1674	0.788
1675	0.926
1676	0.753
1677	0.398
1678	0.683
1679	0.465
1680	0.816
1681	1.14
1682	1.236
1683	1.384
1684	1.1
1685	1.258
1686	1.171
1687	1.364
1688	1.234
1689	1.237
1690	1.209
1691	1.411
1692	1.506
1693	1.293
1694	1.354
1695	1.376
1696	0.919
1697	0.502
1698	0.315
1699	0.371
1700	0.633
1701	0.653
1702	0.733
1703	0.917
1704	0.855
1705	0.606
1706	0.311
1707	0.627
1708	1.209
1709	1.029
1710	0.959
1711	0.749
1712	0.815
1713	0.952
1714	0.839
1715	0.943
1716	0.436
1717	0.558
1718	0.729
1719	1.345
1720	1.078
1721	1.141
1722	1.185
1723	1.401
1724	1.311
1725	1.142
1726	0.784
1727	0.901
1728	1.241
1729	1.339
1730	1.184
1731	1.205
1732	1.161
1733	1.003
1734	0.669
1735	0.809
1736	1.124
1737	1.3
1738	1.261
1739	1.568
1740	0.938
1741	0.781
1742	0.73
1743	0.602
1744	0.214
1745	0.45
1746	0.439
1747	0.739
1748	0.998
1749	1.272
1750	1.288
1751	1.307
1752	0.952
1753	0.886
1754	0.886
1755	0.976
1756	0.849
1757	1.144
1758	1.111
1759	1.036
1760	1.097
1761	0.981
1762	1.424
1763	1.309
1764	1.115
1765	1.408
1766	1.433
1767	1.565
1768	0.887
1769	0.848
1770	0.775
1771	1.278
1772	1.546
1773	1.448
1774	1.44
1775	1.134
1776	1.057
1777	1.27
1778	0.791
1779	0.848
1780	1.034
1781	1.031
1782	1.067
1783	0.86
1784	0.699
1785	0.791
1786	0.999
1787	0.894
1788	1.141
1789	1.225
1790	0.862
1791	1.008
1792	0.917
1793	1.022
1794	0.704
1795	0.871
1796	0.979
1797	1.097
1798	1.116
1799	1.439
1800	1.225
1801	1.308
1802	1.284
1803	1.128
1804	0.85
1805	0.779
1806	0.855
1807	1.154
1808	1.092
1809	0.879
1810	1.027
1811	1.029
1812	1.095
1813	1.097
1814	1.067
1815	1.079
1816	1.234
1817	1.158
1818	1.111
1819	1.239
1820	1.202
1821	1.065
1822	1.437
1823	1.367
1824	1.467
1825	1.273
1826	0.956
1827	0.898
1828	1.174
1829	1.271
1830	0.916
1831	0.864
1832	1.005
1833	1.235
1834	1.104
1835	1.029
1836	0.981
1837	0.66
1838	1.293
1839	1.222
1840	1.029
1841	1.17
1842	0.87
1843	1.067
1844	1.275
1845	1.204
1846	1.263
1847	1.039
1848	0.738
1849	0.664
1850	0.836
1851	0.957
1852	1.013
1853	1.087
1854	0.992
1855	1.111
1856	1.068
1857	1.092
1858	0.993
1859	1.013
1860	0.968
1861	0.907
1862	0.65
1863	0.786
1864	0.977
1865	1.07
1866	1.406
1867	1.556
1868	1.27
1869	0.825
1870	1.168
1871	1.009
1872	1.311
1873	1.176
1874	1.148
1875	0.885
1876	0.506
1877	0.397
1878	0.71
1879	0.841
1880	0.931
1881	0.987
1882	0.785
1883	0.775
1884	1.025
1885	1.057
1886	1.049
1887	0.77
1888	1.006
1889	0.86
1890	0.802
1891	0.802
1892	1.338
1893	1.393
1894	0.857
1895	0.964
1896	1.072
1897	0.81
1898	0.942
1899	1.013
1900	1.157
1901	1.297
1902	1.206
1903	0.917
1904	0.715
1905	0.91
1906	1.094
1907	0.977
1908	1.048
1909	1.116
1910	0.989
1911	0.937
1912	0.818
1913	0.872
1914	0.943
1915	1.11
1916	0.752
1917	1.102
1918	1.073
1919	1.098
1920	1.255
1921	1.006
1922	0.845
1923	1.049
1924	0.952
1925	0.902
1926	0.895
1927	0.467
1928	0.124
1929	0.294
1930	0.861
1931	1.019
1932	1.291
1933	1.246
1934	1.085
1935	1.216
1936	0.886
1937	0.676
1938	0.659
1939	0.871
1940	0.876
1941	1.289
1942	1.386
1943	1.321
1944	0.436
1945	0.347
1946	0.306
1947	0.549
1948	0.895
1949	0.773
1950	0.911
1951	0.877
1952	0.667
1953	0.872
1954	0.88
1955	0.685
1956	0.493
1957	0.879
1958	0.798
1959	0.817
1960	0.824
1961	0.971
1962	0.976
1963	1.223
1964	1.226
1965	1.145
1966	1.202
1967	1.092
1968	0.686
1969	0.692
1970	0.845
1971	0.871
1972	0.655
1973	0.537
1974	0.815
1975	0.705
1976	0.833
1977	1.044
1978	0.971
1979	0.902
1980	0.672
1981	0.935
1982	0.857
1983	0.839
1984	0.866
1985	0.815
1986	0.729
1987	0.436
1988	0.719
1989	0.54
1990	0.589
1991	0.588