ÃÂ¯ÃÂ»ÃÂ¿# northamerica_usa_ca612 - Pine Mountain North - 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/3960
#
# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: northamerica_usa_ca612 - Pine Mountain North - 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: Pine Mountain North
#	Location:
#	Country: United States
#	Northernmost_Latitude: 34.65
#	Southernmost_Latitude: 34.65
#	Easternmost_Longitude: -119.37
#	Westernmost_Longitude: -119.37
#	Elevation: 1500 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_ca612B
#	Earliest_Year: 1336
#	Most_Recent_Year: 1993
#	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":"2.70872755277","T2":"14.0985440785","M1":"0.0233348297002","M2":"0.540861218455"}}
#--------------------
# Species
#	Species_Name: bigcone Douglas fir
#	Species_Code: PSMA
#--------------------
# 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
1336	1.687
1337	1.459
1338	0.62
1339	1.027
1340	0.709
1341	0.595
1342	1.218
1343	1.205
1344	1.091
1345	1.078
1346	1.307
1347	1.091
1348	1.511
1349	1.473
1350	1.206
1351	0.761
1352	0.914
1353	1.155
1354	1.016
1355	0.99
1356	0.952
1357	1.08
1358	0.481
1359	0.952
1360	0.698
1361	0.876
1362	0.736
1363	1.055
1364	1.182
1365	0.418
1366	0.978
1367	0.953
1368	0.864
1369	0.864
1370	0.991
1371	0.571
1372	0.953
1373	1.323
1374	1.272
1375	1.183
1376	1.834
1377	0.877
1378	0.877
1379	0.673
1380	0.762
1381	0.877
1382	0.788
1383	0.967
1384	0.762
1385	0.903
1386	1.018
1387	0.775
1388	0.546
1389	0.993
1390	0.635
1391	0.495
1392	0.699
1393	0.788
1394	0.903
1395	0.622
1396	0.712
1397	0.725
1398	0.801
1399	0.865
1400	1.133
1401	1.785
1402	1.44
1403	1.197
1404	1.07
1405	0.865
1406	0.942
1407	0.738
1408	0.968
1409	0.878
1410	0.955
1411	1.108
1412	1.249
1413	0.508
1414	1.287
1415	1.108
1416	1.019
1417	1.185
1418	1.824
1419	1.326
1420	1.351
1421	1.377
1422	1.313
1423	1.326
1424	1.134
1425	1.173
1426	0.891
1427	0.943
1428	0.943
1429	1.262
1430	1.032
1431	0.968
1432	0.955
1433	1.096
1434	0.444
1435	0.917
1436	0.879
1437	0.84
1438	1.16
1439	1.352
1440	1.02
1441	1.569
1442	1.309
1443	1.372
1444	0.859
1445	1.001
1446	0.891
1447	1.027
1448	1.098
1449	0.873
1450	0.821
1451	1.076
1452	0.439
1453	1.021
1454	0.768
1455	0.897
1456	0.988
1457	0.652
1458	0.906
1459	0.61
1460	0.633
1461	0.809
1462	0.865
1463	0.599
1464	0.455
1465	0.262
1466	0.703
1467	0.981
1468	0.618
1469	0.774
1470	1.001
1471	0.955
1472	0.973
1473	0.85
1474	0.889
1475	0.819
1476	0.82
1477	1.331
1478	0.818
1479	0.849
1480	0.689
1481	0.816
1482	0.748
1483	0.828
1484	1.043
1485	0.966
1486	0.779
1487	0.883
1488	0.725
1489	0.891
1490	0.842
1491	0.859
1492	0.275
1493	0.953
1494	0.668
1495	0.734
1496	0.594
1497	0.247
1498	0.596
1499	0.668
1500	0.429
1501	0.612
1502	0.677
1503	0.744
1504	0.678
1505	0.623
1506	1.014
1507	0.859
1508	0.961
1509	1.272
1510	0.765
1511	0.839
1512	1.061
1513	1.21
1514	1.134
1515	1.061
1516	1.462
1517	1.142
1518	1.008
1519	0.865
1520	0.922
1521	0.308
1522	0.694
1523	0.639
1524	1.074
1525	0.919
1526	1.268
1527	0.91
1528	0.848
1529	0.358
1530	0.873
1531	0.928
1532	0.555
1533	0.92
1534	1.175
1535	1.3
1536	1.956
1537	1.544
1538	1.489
1539	1.326
1540	1.165
1541	0.786
1542	0.592
1543	1.122
1544	0.799
1545	1.041
1546	0.734
1547	0.345
1548	0.694
1549	0.909
1550	1.157
1551	1.366
1552	1.066
1553	1.319
1554	0.927
1555	0.942
1556	0.979
1557	1.516
1558	1.182
1559	1.115
1560	1.146
1561	1.196
1562	1.21
1563	1.141
1564	1.578
1565	1.581
1566	1.395
1567	1.668
1568	1.891
1569	1.126
1570	0.993
1571	-0.028
1572	0.684
1573	0.754
1574	0.723
1575	0.584
1576	0.486
1577	0.848
1578	0.819
1579	0.293
1580	0.016
1581	0.967
1582	0.952
1583	1.235
1584	1.401
1585	0.251
1586	1.25
1587	1.557
1588	1.575
1589	1.801
1590	0.557
1591	1.239
1592	1.028
1593	1.229
1594	1.542
1595	1.14
1596	1.366
1597	0.665
1598	1.395
1599	1.46
1600	1.116
1601	1.525
1602	1.431
1603	1.092
1604	1.843
1605	1.487
1606	1.358
1607	1.193
1608	1.536
1609	1.303
1610	1.673
1611	1.622
1612	1.502
1613	0.063
1614	0.931
1615	0.997
1616	1.15
1617	1.186
1618	0.903
1619	0.833
1620	1.119
1621	0.727
1622	1.064
1623	0.923
1624	0.702
1625	1.013
1626	0.281
1627	0.65
1628	0.512
1629	0.598
1630	0.714
1631	0.679
1632	0.418
1633	0.369
1634	0.394
1635	0.724
1636	0.681
1637	0.22
1638	0.454
1639	0.733
1640	1.1
1641	1.22
1642	1.61
1643	1.163
1644	1.638
1645	1.327
1646	1.038
1647	1.157
1648	0.86
1649	1.418
1650	1.098
1651	1.371
1652	1.297
1653	0.705
1654	0.142
1655	0.506
1656	0.727
1657	0.957
1658	0.953
1659	0.913
1660	1.041
1661	1.427
1662	1.562
1663	0.922
1664	1.242
1665	0.838
1666	0.819
1667	0.804
1668	0.84
1669	0.473
1670	-0.039
1671	0.639
1672	0.932
1673	0.992
1674	1.34
1675	1.148
1676	0.623
1677	0.926
1678	1.002
1679	1.058
1680	1.34
1681	1.252
1682	1.713
1683	1.535
1684	1.388
1685	1.627
1686	1.049
1687	1.669
1688	1.662
1689	1.345
1690	0.864
1691	0.413
1692	1.054
1693	1.013
1694	1.036
1695	0.983
1696	1.036
1697	1.052
1698	0.773
1699	1.391
1700	1.428
1701	0.927
1702	1.394
1703	0.923
1704	1.176
1705	1.251
1706	0.545
1707	0.368
1708	0.617
1709	0.956
1710	0.759
1711	0.556
1712	0.665
1713	0.494
1714	0.921
1715	0.89
1716	0.82
1717	0.832
1718	0.805
1719	0.91
1720	0.998
1721	0.802
1722	1.088
1723	1.284
1724	0.95
1725	0.967
1726	1.237
1727	1.28
1728	0.727
1729	0.742
1730	0.886
1731	1.167
1732	1.082
1733	0.672
1734	0.907
1735	0.478
1736	0.729
1737	0.274
1738	1.069
1739	0.123
1740	0.735
1741	0.825
1742	0.658
1743	0.785
1744	0.863
1745	1.304
1746	1.431
1747	1.522
1748	0.744
1749	1.055
1750	1.062
1751	1.057
1752	0.623
1753	0.893
1754	0.059
1755	0.745
1756	0.552
1757	0.747
1758	0.871
1759	0.906
1760	0.847
1761	0.941
1762	0.944
1763	0.843
1764	0.922
1765	0.475
1766	1.213
1767	1.078
1768	1.072
1769	0.897
1770	0.788
1771	1.206
1772	0.915
1773	1.137
1774	1.149
1775	1.188
1776	1.091
1777	0.558
1778	0.899
1779	0.883
1780	1.357
1781	1.399
1782	-0.042
1783	1.136
1784	1.163
1785	1.231
1786	1.17
1787	1.301
1788	1.067
1789	1.344
1790	1.312
1791	1.59
1792	1.717
1793	2.011
1794	0.795
1795	-0.016
1796	1.16
1797	1.085
1798	1.193
1799	1.437
1800	0.891
1801	1.362
1802	1.386
1803	0.986
1804	1.515
1805	1.504
1806	1.075
1807	0.522
1808	0.902
1809	0.699
1810	0.76
1811	1.033
1812	0.617
1813	0.396
1814	0.99
1815	0.94
1816	1.332
1817	1.103
1818	1.547
1819	1.536
1820	1.067
1821	1.214
1822	1.211
1823	0.161
1824	0.605
1825	1.099
1826	1.318
1827	1.1
1828	1.511
1829	-0.042
1830	1.323
1831	1.209
1832	1.621
1833	1.296
1834	1.089
1835	1.226
1836	0.374
1837	1.358
1838	1.369
1839	1.551
1840	1.763
1841	0.244
1842	0.923
1843	-0.041
1844	0.363
1845	0.19
1846	0.654
1847	0.51
1848	0.697
1849	0.566
1850	0.74
1851	0.804
1852	0.798
1853	1.068
1854	0.979
1855	1.185
1856	0.707
1857	0.142
1858	0.519
1859	0.372
1860	0.589
1861	0.766
1862	0.904
1863	0.5
1864	-0.04
1865	0.774
1866	0.989
1867	0.914
1868	1.508
1869	1.489
1870	1.089
1871	0.744
1872	0.999
1873	0.892
1874	0.872
1875	0.795
1876	1.079
1877	-0.039
1878	1.377
1879	0.999
1880	1.118
1881	0.667
1882	0.662
1883	0.51
1884	0.929
1885	0.943
1886	1.423
1887	1.227
1888	1.204
1889	1.207
1890	1.352
1891	1.306
1892	0.872
1893	1.186
1894	0.389
1895	1.007
1896	0.868
1897	0.707
1898	0.483
1899	-0.04
1900	0.136
1901	0.622
1902	0.613
1903	0.66
1904	0.125
1905	0.94
1906	1.036
1907	1.313
1908	1.297
1909	1.26
1910	1.187
1911	1.527
1912	1.242
1913	1.266
1914	1.36
1915	1.505
1916	1.512
1917	1.575
1918	0.939
1919	1.054
1920	1.065
1921	1.104
1922	0.941
1923	1.07
1924	0.259
1925	0.638
1926	0.892
1927	0.862
1928	0.883
1929	0.474
1930	0.547
1931	0.706
1932	0.753
1933	0.629
1934	0.296
1935	0.767
1936	0.755
1937	1.199
1938	1.17
1939	1.154
1940	1.237
1941	1.471
1942	1.505
1943	1.381
1944	1.585
1945	1.357
1946	1.224
1947	1.06
1948	0.608
1949	0.513
1950	0.34
1951	0.147
1952	0.49
1953	0.578
1954	0.667
1955	0.725
1956	0.893
1957	0.99
1958	1.271
1959	0.967
1960	0.787
1961	0.321
1962	0.884
1963	0.907
1964	0.724
1965	1.032
1966	0.814
1967	1.198
1968	0.632
1969	1.144
1970	0.986
1971	1.086
1972	0.679
1973	0.868
1974	0.817
1975	1.026
1976	0.778
1977	1.416
1978	1.219
1979	1.521
1980	1.753
1981	1.294
1982	1.351
1983	2.082
1984	1.412
1985	1.241
1986	1.642
1987	0.588
1988	1.632
1989	0.675
1990	-0.04
1991	0.809
1992	1.388
1993	1.526