ÃÂ¯ÃÂ»ÃÂ¿# northamerica_usa_wa039 - Baker Ski - 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/2877
#
# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: northamerica_usa_wa039 - Baker Ski - 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: Baker Ski
#	Location:
#	Country: United States
#	Northernmost_Latitude: 48.83
#	Southernmost_Latitude: 48.83
#	Easternmost_Longitude: -120.65
#	Westernmost_Longitude: -120.65
#	Elevation: 1330 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_wa039B
#	Earliest_Year: 1331
#	Most_Recent_Year: 1976
#	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":"2.56849205481","T2":"14.1720558943","M1":"0.0225550444043","M2":"0.475277043182"}}
#--------------------
# Species
#	Species_Name: mountain hemlock
#	Species_Code: TSME
#--------------------
# 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
1331	1.065
1332	0.97
1333	0.982
1334	0.837
1335	1.077
1336	0.91
1337	0.863
1338	0.845
1339	0.927
1340	0.939
1341	0.8
1342	0.873
1343	0.712
1344	0.826
1345	0.848
1346	0.995
1347	0.863
1348	0.969
1349	0.679
1350	0.785
1351	0.766
1352	0.651
1353	0.727
1354	0.654
1355	0.826
1356	0.731
1357	0.69
1358	0.777
1359	0.865
1360	1.182
1361	1.565
1362	1.537
1363	1.322
1364	1.271
1365	1.065
1366	1.333
1367	0.881
1368	1.017
1369	1.075
1370	1.01
1371	0.956
1372	1.196
1373	1.017
1374	0.895
1375	0.931
1376	0.75
1377	0.774
1378	0.903
1379	0.789
1380	0.999
1381	1.025
1382	1.389
1383	1.252
1384	1.008
1385	0.975
1386	0.812
1387	0.932
1388	0.958
1389	1.235
1390	1.274
1391	1.109
1392	1.075
1393	1.259
1394	1.237
1395	0.85
1396	0.873
1397	0.735
1398	0.768
1399	0.792
1400	0.738
1401	0.555
1402	0.902
1403	0.811
1404	0.899
1405	1.027
1406	1.217
1407	1.126
1408	1.52
1409	1.358
1410	1.747
1411	1.261
1412	1.28
1413	0.905
1414	1.091
1415	1.165
1416	1.158
1417	0.979
1418	1.233
1419	0.811
1420	1.161
1421	1.062
1422	1.033
1423	1.094
1424	1.326
1425	0.982
1426	0.963
1427	1.011
1428	0.988
1429	0.849
1430	1.085
1431	1.196
1432	1.131
1433	1.207
1434	1.255
1435	1.287
1436	1.097
1437	1.041
1438	1.394
1439	1.227
1440	1.111
1441	0.689
1442	1.33
1443	1.173
1444	1.282
1445	0.992
1446	0.938
1447	1.096
1448	0.923
1449	1.258
1450	1.036
1451	1.168
1452	1.043
1453	0.903
1454	0.821
1455	0.829
1456	0.934
1457	0.957
1458	0.726
1459	0.548
1460	0.712
1461	0.668
1462	0.534
1463	0.561
1464	0.548
1465	0.722
1466	0.707
1467	0.726
1468	0.716
1469	0.847
1470	0.925
1471	0.983
1472	0.894
1473	1.046
1474	0.802
1475	1.26
1476	1.176
1477	1.021
1478	1.128
1479	1.007
1480	0.986
1481	1.092
1482	0.973
1483	0.977
1484	1.342
1485	1.471
1486	1.233
1487	1.053
1488	0.883
1489	1.07
1490	0.982
1491	1.058
1492	1.152
1493	1.024
1494	0.937
1495	0.733
1496	0.859
1497	1.006
1498	0.867
1499	1.092
1500	0.956
1501	0.86
1502	0.932
1503	1.056
1504	1.225
1505	1.065
1506	1.15
1507	1.195
1508	0.949
1509	1.312
1510	0.961
1511	1.217
1512	1.002
1513	1.21
1514	1.005
1515	0.939
1516	1.086
1517	1.204
1518	1.102
1519	0.908
1520	0.898
1521	0.846
1522	0.795
1523	0.992
1524	0.909
1525	1.023
1526	1.198
1527	1.167
1528	1.033
1529	1.245
1530	1.219
1531	1.136
1532	1.056
1533	0.948
1534	0.825
1535	1.197
1536	1.045
1537	0.975
1538	1.035
1539	1.029
1540	1.15
1541	0.903
1542	0.82
1543	1.046
1544	1.109
1545	1.2
1546	0.847
1547	0.796
1548	0.993
1549	0.939
1550	0.948
1551	1.048
1552	1
1553	1.056
1554	1.016
1555	1.171
1556	1.318
1557	1.291
1558	1.198
1559	1.04
1560	1.183
1561	0.982
1562	1.263
1563	1.023
1564	1.002
1565	1.02
1566	0.914
1567	1.123
1568	0.997
1569	0.855
1570	1.095
1571	0.937
1572	0.727
1573	1.122
1574	1.167
1575	1.024
1576	0.891
1577	0.868
1578	0.836
1579	0.654
1580	0.873
1581	0.688
1582	0.812
1583	0.882
1584	0.97
1585	0.926
1586	0.873
1587	0.638
1588	0.935
1589	0.724
1590	0.788
1591	1.052
1592	0.794
1593	1.118
1594	0.896
1595	0.823
1596	0.854
1597	1.185
1598	1.159
1599	0.986
1600	1.251
1601	0.804
1602	0.783
1603	0.909
1604	0.898
1605	0.68
1606	0.784
1607	0.79
1608	0.896
1609	0.83
1610	0.893
1611	0.645
1612	0.615
1613	0.703
1614	0.789
1615	0.765
1616	0.826
1617	0.878
1618	0.711
1619	0.931
1620	0.702
1621	0.819
1622	0.913
1623	0.876
1624	0.798
1625	0.732
1626	0.737
1627	0.965
1628	0.858
1629	1.018
1630	1.155
1631	0.866
1632	0.967
1633	1.103
1634	1.114
1635	0.95
1636	0.782
1637	0.705
1638	0.987
1639	0.909
1640	0.975
1641	0.718
1642	1.125
1643	0.83
1644	1.048
1645	1.263
1646	1.189
1647	1.156
1648	0.947
1649	1.278
1650	1.069
1651	1.321
1652	1.21
1653	0.81
1654	0.937
1655	1.183
1656	1.091
1657	1.064
1658	1.197
1659	1.109
1660	1.418
1661	1.52
1662	1.109
1663	1.171
1664	0.971
1665	1.592
1666	1.507
1667	1.501
1668	0.945
1669	1.282
1670	1.198
1671	1.308
1672	0.917
1673	1.252
1674	1.352
1675	1.002
1676	0.874
1677	1.28
1678	0.993
1679	1.129
1680	1.214
1681	1.146
1682	1.13
1683	1.107
1684	0.942
1685	1.086
1686	1.247
1687	1.401
1688	1.187
1689	1.278
1690	1.321
1691	1.209
1692	1.137
1693	1.051
1694	1.123
1695	1.136
1696	0.774
1697	0.572
1698	0.846
1699	0.927
1700	0.893
1701	0.693
1702	0.728
1703	0.516
1704	0.851
1705	0.839
1706	0.744
1707	0.713
1708	0.882
1709	0.776
1710	1.065
1711	0.719
1712	0.911
1713	0.91
1714	0.8
1715	0.574
1716	0.934
1717	1.184
1718	1.169
1719	1.086
1720	0.929
1721	1.146
1722	0.971
1723	1.017
1724	1.006
1725	1.081
1726	1.318
1727	1.218
1728	1.126
1729	1.222
1730	1.052
1731	1.113
1732	1.125
1733	1.011
1734	0.893
1735	0.916
1736	1.138
1737	1.175
1738	1.08
1739	1.139
1740	1.159
1741	1.4
1742	0.823
1743	1.081
1744	0.877
1745	0.919
1746	0.968
1747	1.174
1748	0.904
1749	1.009
1750	1.12
1751	1.044
1752	0.847
1753	0.88
1754	0.885
1755	0.878
1756	1.232
1757	0.91
1758	0.815
1759	0.951
1760	0.92
1761	0.922
1762	0.836
1763	1.054
1764	1.029
1765	0.96
1766	0.892
1767	0.835
1768	1
1769	1.058
1770	0.903
1771	0.927
1772	0.994
1773	1.082
1774	1.394
1775	0.848
1776	1.133
1777	1.024
1778	1.009
1779	1.04
1780	1.336
1781	0.984
1782	1.084
1783	1.349
1784	0.966
1785	1.109
1786	1
1787	0.961
1788	1.015
1789	1
1790	0.989
1791	1.02
1792	1.155
1793	1.062
1794	1.061
1795	0.968
1796	1.267
1797	1.039
1798	1.097
1799	0.809
1800	0.869
1801	0.691
1802	0.879
1803	1.291
1804	1.317
1805	0.977
1806	0.728
1807	0.693
1808	0.613
1809	0.642
1810	0.424
1811	0.615
1812	0.724
1813	0.643
1814	0.624
1815	0.571
1816	0.748
1817	0.676
1818	0.629
1819	0.378
1820	0.52
1821	0.638
1822	0.823
1823	0.772
1824	0.597
1825	0.667
1826	0.65
1827	0.718
1828	0.774
1829	0.802
1830	0.832
1831	0.792
1832	0.684
1833	0.863
1834	1.078
1835	0.845
1836	0.855
1837	0.856
1838	0.733
1839	0.867
1840	0.677
1841	0.667
1842	0.731
1843	0.899
1844	0.888
1845	0.677
1846	0.831
1847	0.801
1848	0.857
1849	0.594
1850	0.626
1851	0.813
1852	0.854
1853	1.021
1854	0.966
1855	1.013
1856	0.891
1857	0.971
1858	0.844
1859	0.913
1860	1.039
1861	1.04
1862	0.828
1863	1.052
1864	0.793
1865	0.743
1866	0.536
1867	0.521
1868	0.686
1869	0.689
1870	0.589
1871	0.658
1872	0.809
1873	0.862
1874	0.932
1875	0.832
1876	0.591
1877	0.586
1878	0.614
1879	0.583
1880	0.539
1881	0.597
1882	0.587
1883	0.629
1884	0.723
1885	0.635
1886	0.646
1887	0.57
1888	0.68
1889	0.704
1890	0.702
1891	0.825
1892	0.848
1893	0.804
1894	0.836
1895	1.067
1896	0.862
1897	0.945
1898	0.905
1899	0.641
1900	0.874
1901	1.007
1902	1.04
1903	1.083
1904	1.081
1905	1.132
1906	0.91
1907	0.866
1908	0.805
1909	0.937
1910	1.264
1911	1.114
1912	1.101
1913	1.157
1914	1.347
1915	1.116
1916	0.926
1917	1.084
1918	1.137
1919	0.954
1920	1.066
1921	0.955
1922	1.041
1923	1.281
1924	1.092
1925	1.074
1926	1.224
1927	0.945
1928	1.065
1929	1.136
1930	1.391
1931	1.143
1932	1.092
1933	1.357
1934	1.777
1935	1.873
1936	1.31
1937	1.46
1938	1.712
1939	1.728
1940	1.444
1941	1.539
1942	1.208
1943	1.642
1944	1.937
1945	1.546
1946	1.476
1947	2.063
1948	1.714
1949	1.566
1950	1.353
1951	1.682
1952	1.088
1953	1.065
1954	0.986
1955	1.15
1956	0.933
1957	1.212
1958	1.158
1959	0.883
1960	1.011
1961	0.914
1962	0.859
1963	1.003
1964	1.237
1965	1.534
1966	1.4
1967	1.117
1968	1.102
1969	0.899
1970	1.059
1971	0.839
1972	0.856
1973	0.982
1974	0.652
1975	0.943
1976	0.018