ÃÂ¯ÃÂ»ÃÂ¿# northamerica_usa_ak067 - Hey Bear Upper - 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/3054
#
# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: northamerica_usa_ak067 - Hey Bear Upper - 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: Hey Bear Upper
#	Location:
#	Country: United States
#	Northernmost_Latitude: 65.22
#	Southernmost_Latitude: 65.22
#	Easternmost_Longitude: -162.22
#	Westernmost_Longitude: -162.22
#	Elevation: 229 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_ak067B
#	Earliest_Year: 1383
#	Most_Recent_Year: 2002
#	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":"6.78014354276","T2":"17.4912969514","M1":"0.0226072371333","M2":"0.376078915627"}}
#--------------------
# Species
#	Species_Name: white spruce
#	Species_Code: PCGL
#--------------------
# 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
1383	1.537
1384	1.472
1385	1.032
1386	1.285
1387	1.059
1388	0.96
1389	1.041
1390	1.005
1391	1.205
1392	0.921
1393	0.802
1394	1.191
1395	1.144
1396	1.038
1397	0.934
1398	0.955
1399	0.816
1400	0.851
1401	1
1402	1.044
1403	1.166
1404	0.957
1405	0.651
1406	0.575
1407	0.742
1408	0.661
1409	0.832
1410	1.055
1411	0.89
1412	0.758
1413	0.795
1414	0.843
1415	0.771
1416	0.653
1417	0.78
1418	1.215
1419	2.474
1420	1.648
1421	1.293
1422	0.938
1423	0.647
1424	0.715
1425	0.543
1426	0.586
1427	0.651
1428	0.585
1429	0.594
1430	0.593
1431	0.598
1432	0.536
1433	0.687
1434	0.579
1435	0.641
1436	0.817
1437	0.933
1438	1.195
1439	0.987
1440	1.394
1441	1.227
1442	1.187
1443	1.501
1444	1.194
1445	1.174
1446	1.338
1447	1.341
1448	1.292
1449	1.19
1450	1.069
1451	1.043
1452	0.947
1453	0.872
1454	0.864
1455	0.847
1456	0.928
1457	1.159
1458	1.008
1459	0.842
1460	0.779
1461	0.683
1462	1.002
1463	0.86
1464	1.038
1465	0.888
1466	1.078
1467	1.284
1468	1.455
1469	1.418
1470	1.098
1471	1.041
1472	0.927
1473	1.151
1474	1.098
1475	1.314
1476	1.163
1477	1.019
1478	1.233
1479	1.431
1480	0.956
1481	0.949
1482	1.052
1483	1.084
1484	1.142
1485	0.958
1486	1.156
1487	0.909
1488	0.895
1489	1.025
1490	1.037
1491	1.584
1492	1.167
1493	1.147
1494	1.034
1495	0.91
1496	1.096
1497	0.838
1498	0.84
1499	0.903
1500	0.894
1501	1.07
1502	0.88
1503	1.051
1504	0.821
1505	0.811
1506	0.897
1507	0.86
1508	0.731
1509	0.827
1510	0.877
1511	0.44
1512	0.685
1513	0.581
1514	0.591
1515	0.741
1516	1.057
1517	0.875
1518	0.72
1519	0.868
1520	0.774
1521	0.887
1522	0.631
1523	0.914
1524	0.672
1525	1.113
1526	0.763
1527	0.744
1528	0.723
1529	0.883
1530	1.274
1531	0.862
1532	0.995
1533	0.933
1534	0.986
1535	1.021
1536	1.135
1537	0.902
1538	0.999
1539	0.943
1540	1.289
1541	1.023
1542	1.17
1543	0.641
1544	1.048
1545	1.433
1546	1.032
1547	0.968
1548	0.756
1549	1.361
1550	0.794
1551	1.29
1552	1.101
1553	1.201
1554	0.838
1555	1.094
1556	1.088
1557	1.155
1558	0.999
1559	1.074
1560	1.116
1561	1.301
1562	0.98
1563	0.959
1564	0.947
1565	1.165
1566	1.101
1567	1.182
1568	1.224
1569	1.078
1570	0.882
1571	0.691
1572	0.842
1573	0.858
1574	0.918
1575	0.677
1576	0.901
1577	0.899
1578	1.018
1579	1.05
1580	0.693
1581	1.015
1582	1.074
1583	1.194
1584	1.027
1585	0.932
1586	0.866
1587	0.859
1588	0.694
1589	0.792
1590	0.795
1591	0.876
1592	0.656
1593	0.619
1594	0.719
1595	0.811
1596	0.668
1597	0.769
1598	0.838
1599	1.089
1600	0.871
1601	0.875
1602	0.784
1603	0.616
1604	0.733
1605	0.886
1606	0.921
1607	0.927
1608	0.864
1609	0.914
1610	0.992
1611	1.013
1612	1.108
1613	1.021
1614	0.925
1615	0.989
1616	1.139
1617	1.067
1618	1.269
1619	1.055
1620	0.973
1621	1.022
1622	0.857
1623	0.94
1624	0.99
1625	0.87
1626	0.917
1627	0.821
1628	0.795
1629	0.783
1630	0.687
1631	0.618
1632	0.863
1633	0.674
1634	0.767
1635	0.512
1636	0.742
1637	0.817
1638	0.826
1639	0.659
1640	0.544
1641	0.662
1642	0.646
1643	0.595
1644	0.786
1645	0.589
1646	0.749
1647	0.926
1648	0.977
1649	0.926
1650	1.045
1651	0.877
1652	0.558
1653	0.943
1654	0.691
1655	0.762
1656	0.852
1657	0.789
1658	0.833
1659	0.65
1660	0.907
1661	0.671
1662	0.803
1663	0.684
1664	0.66
1665	0.691
1666	0.76
1667	0.927
1668	0.665
1669	0.829
1670	0.679
1671	0.74
1672	0.872
1673	0.814
1674	0.569
1675	0.646
1676	0.781
1677	0.748
1678	0.851
1679	0.963
1680	0.776
1681	0.914
1682	0.936
1683	1.186
1684	0.853
1685	1.019
1686	1.103
1687	1.226
1688	1.191
1689	1.059
1690	1.062
1691	1.073
1692	0.918
1693	0.962
1694	1.119
1695	0.861
1696	0.992
1697	0.642
1698	0.906
1699	0.781
1700	0.883
1701	1.264
1702	1.234
1703	1.043
1704	1.28
1705	1.285
1706	1.114
1707	1.537
1708	1.533
1709	1.313
1710	1.603
1711	0.865
1712	1.084
1713	1.151
1714	1.164
1715	1.211
1716	1.173
1717	1.096
1718	1.279
1719	1.233
1720	1.561
1721	1.237
1722	1.442
1723	1.708
1724	1.415
1725	1.482
1726	1.078
1727	1.469
1728	1.208
1729	1.377
1730	1.492
1731	1.655
1732	1.317
1733	1.44
1734	1.329
1735	0.978
1736	1.285
1737	1.23
1738	1.171
1739	1.454
1740	1.28
1741	1.326
1742	0.921
1743	1.481
1744	0.862
1745	0.983
1746	1.119
1747	1.141
1748	1.295
1749	1.51
1750	1.595
1751	0.942
1752	1.452
1753	1.076
1754	1.015
1755	0.998
1756	1.076
1757	0.928
1758	1.05
1759	0.985
1760	1.079
1761	1.409
1762	1.067
1763	1.043
1764	1.086
1765	0.871
1766	1.156
1767	1.082
1768	1.114
1769	1.113
1770	1.247
1771	0.81
1772	0.764
1773	0.693
1774	0.997
1775	0.751
1776	0.738
1777	0.597
1778	0.688
1779	0.631
1780	0.44
1781	0.74
1782	0.645
1783	0.627
1784	0.714
1785	0.757
1786	0.746
1787	0.846
1788	0.895
1789	0.781
1790	0.974
1791	1.151
1792	1.273
1793	1.023
1794	1.341
1795	1.257
1796	1.208
1797	0.91
1798	1.033
1799	0.925
1800	0.89
1801	0.887
1802	1.032
1803	1.062
1804	0.743
1805	0.728
1806	0.783
1807	0.742
1808	0.991
1809	0.572
1810	0.704
1811	0.747
1812	0.721
1813	0.694
1814	0.685
1815	0.602
1816	0.399
1817	0.705
1818	0.718
1819	0.726
1820	0.801
1821	0.679
1822	0.514
1823	0.747
1824	0.79
1825	0.722
1826	0.634
1827	0.824
1828	0.783
1829	0.874
1830	0.823
1831	0.975
1832	0.956
1833	0.877
1834	0.722
1835	0.804
1836	0.699
1837	0.719
1838	0.829
1839	0.7
1840	0.715
1841	0.573
1842	0.711
1843	0.725
1844	0.902
1845	0.715
1846	0.846
1847	1.016
1848	1.007
1849	0.94
1850	0.992
1851	0.824
1852	1.095
1853	1.306
1854	1.186
1855	1.561
1856	1.041
1857	1.642
1858	1.483
1859	1.277
1860	1.44
1861	1.176
1862	1.097
1863	1.303
1864	1.34
1865	1.229
1866	0.992
1867	1.445
1868	1.046
1869	1.04
1870	1.162
1871	0.955
1872	1.055
1873	1.137
1874	1.171
1875	1.205
1876	1.186
1877	1.288
1878	1.306
1879	1.078
1880	1.242
1881	1.277
1882	1.382
1883	1.063
1884	1.248
1885	1.434
1886	1.222
1887	1.413
1888	1.063
1889	1.113
1890	1.2
1891	1.323
1892	1.101
1893	1.173
1894	1.223
1895	1.277
1896	1.107
1897	1.411
1898	1.379
1899	0.609
1900	1.237
1901	0.955
1902	1.155
1903	0.96
1904	0.871
1905	0.877
1906	1.203
1907	1.051
1908	1.08
1909	0.785
1910	0.792
1911	1.1
1912	0.595
1913	0.89
1914	0.902
1915	0.98
1916	0.899
1917	0.871
1918	0.983
1919	0.69
1920	0.98
1921	1.145
1922	0.609
1923	0.887
1924	0.852
1925	0.938
1926	1.052
1927	0.961
1928	0.875
1929	0.886
1930	0.786
1931	0.685
1932	0.942
1933	0.829
1934	0.807
1935	1.045
1936	0.779
1937	0.922
1938	0.6
1939	0.809
1940	0.477
1941	0.676
1942	0.797
1943	0.924
1944	0.821
1945	0.813
1946	0.835
1947	0.681
1948	0.847
1949	0.643
1950	0.811
1951	0.836
1952	1.131
1953	1.014
1954	0.964
1955	1.007
1956	1.12
1957	1.245
1958	1.33
1959	1.201
1960	1.303
1961	0.905
1962	1.267
1963	1.083
1964	1.195
1965	0.962
1966	1.179
1967	1.12
1968	0.993
1969	0.918
1970	0.964
1971	1.143
1972	1.067
1973	0.877
1974	1.036
1975	0.801
1976	0.674
1977	0.843
1978	0.483
1979	0.719
1980	0.678
1981	0.656
1982	0.941
1983	0.707
1984	0.891
1985	0.818
1986	0.791
1987	0.777
1988	0.654
1989	0.949
1990	0.953
1991	0.92
1992	0.864
1993	0.712
1994	0.696
1995	0.609
1996	0.687
1997	0.795
1998	0.665
1999	0.76
2000	0.751
2001	0.858
2002	0.654