ÃÂ¯ÃÂ»ÃÂ¿# northamerica_usa_ca065 - Dalton Reservoir - 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/3517
#
# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: northamerica_usa_ca065 - Dalton Reservoir - 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: Dalton Reservoir
#	Location:
#	Country: United States
#	Northernmost_Latitude: 41.62
#	Southernmost_Latitude: 41.62
#	Easternmost_Longitude: -120.7
#	Westernmost_Longitude: -120.7
#	Elevation: 1531 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_ca065B
#	Earliest_Year: 1357
#	Most_Recent_Year: 1980
#	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":"3.05330186548","T2":"14.3838278723","M1":"0.0237952652086","M2":"0.553220796939"}}
#--------------------
# Species
#	Species_Name: ponderosa pine
#	Species_Code: PIPO
#--------------------
# 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
1357	0.964
1358	0.819
1359	0.54
1360	0.668
1361	0.882
1362	1.01
1363	1.049
1364	1.164
1365	1.255
1366	0.943
1367	0.674
1368	0.814
1369	1.192
1370	1.135
1371	1.056
1372	0.848
1373	1.199
1374	1.392
1375	1.45
1376	1.431
1377	1.665
1378	1.223
1379	1.102
1380	1.2
1381	1.207
1382	0.915
1383	1.087
1384	0.901
1385	1.326
1386	1.183
1387	1.188
1388	0.956
1389	1.204
1390	1.024
1391	1.177
1392	0.538
1393	0.794
1394	1.065
1395	1.164
1396	1.518
1397	1.949
1398	1.457
1399	1.027
1400	1
1401	0.804
1402	0.807
1403	0.562
1404	0.744
1405	0.65
1406	0.691
1407	0.953
1408	0.372
1409	0.414
1410	0.525
1411	0.62
1412	0.603
1413	0.536
1414	0.615
1415	0.452
1416	0.495
1417	0.484
1418	0.468
1419	0.844
1420	1.1
1421	0.937
1422	0.948
1423	0.926
1424	0.708
1425	0.863
1426	0.8
1427	0.866
1428	0.544
1429	0.872
1430	0.219
1431	0.207
1432	0.145
1433	0.245
1434	0.231
1435	0.397
1436	0.335
1437	0.566
1438	0.486
1439	0.438
1440	0.458
1441	0.565
1442	1.009
1443	0.82
1444	1.067
1445	1.102
1446	1.111
1447	1.124
1448	0.493
1449	0.343
1450	0.671
1451	0.772
1452	0.882
1453	0.974
1454	1.419
1455	1.172
1456	1.324
1457	1.189
1458	1.197
1459	1
1460	0.971
1461	0.991
1462	1.277
1463	1.363
1464	0.726
1465	1.099
1466	0.687
1467	0.791
1468	0.728
1469	1
1470	0.941
1471	1.291
1472	1.234
1473	1.166
1474	0.801
1475	1.332
1476	0.592
1477	0.827
1478	1.138
1479	0.901
1480	0.925
1481	0.91
1482	0.435
1483	0.619
1484	0.826
1485	0.914
1486	1.051
1487	1.113
1488	0.928
1489	0.882
1490	0.993
1491	1.039
1492	1.059
1493	1.068
1494	0.871
1495	0.782
1496	1.457
1497	1.3
1498	0.871
1499	1.175
1500	0.782
1501	0.854
1502	1.008
1503	1.302
1504	1.376
1505	1.035
1506	0.997
1507	1.102
1508	1.319
1509	1.685
1510	1.701
1511	1.505
1512	1.363
1513	1.194
1514	1.039
1515	0.955
1516	0.763
1517	0.763
1518	0.805
1519	1.104
1520	1.234
1521	1.152
1522	0.902
1523	1.292
1524	1.394
1525	1.691
1526	1.148
1527	1.214
1528	1.463
1529	1.161
1530	1.214
1531	1.329
1532	0.995
1533	0.85
1534	1.4
1535	0.94
1536	1.225
1537	1.185
1538	1.23
1539	1.662
1540	1.255
1541	1.204
1542	1.147
1543	0.982
1544	1.263
1545	1.122
1546	0.891
1547	1.214
1548	1.012
1549	1.054
1550	0.964
1551	1.205
1552	0.996
1553	0.988
1554	0.662
1555	0.917
1556	0.952
1557	1.222
1558	1.66
1559	1.646
1560	1.329
1561	1.244
1562	1.234
1563	1.011
1564	1.172
1565	1.167
1566	1.227
1567	1.231
1568	1.309
1569	1.362
1570	0.924
1571	0.865
1572	1
1573	0.994
1574	0.952
1575	1.01
1576	0.714
1577	0.974
1578	1.016
1579	0.631
1580	0.306
1581	0.38
1582	0.702
1583	0.95
1584	0.866
1585	0.932
1586	0.867
1587	1.319
1588	1.347
1589	1.426
1590	1.288
1591	1.158
1592	0.875
1593	0.902
1594	0.938
1595	0.913
1596	0.953
1597	1.129
1598	1.095
1599	1.264
1600	1.056
1601	1.14
1602	1.296
1603	0.944
1604	0.866
1605	0.935
1606	1.114
1607	1.135
1608	1.117
1609	1.077
1610	1.408
1611	1.312
1612	1.208
1613	1.318
1614	0.903
1615	1.046
1616	0.808
1617	1.065
1618	1.043
1619	0.566
1620	0.59
1621	0.763
1622	0.921
1623	0.886
1624	0.97
1625	1.09
1626	0.783
1627	0.857
1628	0.777
1629	0.527
1630	0.539
1631	0.652
1632	0.482
1633	0.85
1634	1.238
1635	1.191
1636	1.178
1637	1.057
1638	1.193
1639	0.612
1640	0.871
1641	1.102
1642	1.032
1643	0.733
1644	0.856
1645	0.735
1646	0.537
1647	1.053
1648	0.896
1649	0.939
1650	0.891
1651	0.791
1652	0.704
1653	0.546
1654	0.585
1655	0.192
1656	0.365
1657	0.253
1658	0.434
1659	0.461
1660	0.8
1661	0.789
1662	0.7
1663	0.951
1664	0.73
1665	0.61
1666	0.852
1667	0.602
1668	0.76
1669	1.158
1670	1.028
1671	1.104
1672	1.096
1673	1.454
1674	1.411
1675	1.247
1676	0.826
1677	1.037
1678	0.866
1679	0.984
1680	0.943
1681	1.273
1682	0.991
1683	0.879
1684	1.171
1685	1.194
1686	0.866
1687	1.129
1688	1.144
1689	1.074
1690	1.055
1691	0.993
1692	1
1693	0.96
1694	0.953
1695	0.888
1696	0.91
1697	1.131
1698	0.98
1699	1.028
1700	1.137
1701	1.048
1702	1.54
1703	0.986
1704	0.972
1705	1.325
1706	1.206
1707	1.146
1708	1.166
1709	1.005
1710	1.06
1711	1.139
1712	1.121
1713	1.198
1714	1.056
1715	1.335
1716	1.251
1717	0.878
1718	0.828
1719	0.86
1720	0.871
1721	0.293
1722	0.693
1723	0.95
1724	0.782
1725	0.87
1726	0.984
1727	1.12
1728	0.91
1729	0.775
1730	0.899
1731	1.051
1732	1.174
1733	0.729
1734	0.762
1735	0.883
1736	0.803
1737	0.964
1738	1.184
1739	0.408
1740	0.564
1741	0.412
1742	0.787
1743	0.931
1744	1.026
1745	1.429
1746	1.427
1747	1.497
1748	0.864
1749	1.133
1750	0.881
1751	0.945
1752	1.053
1753	1.114
1754	0.897
1755	1.294
1756	0.787
1757	0.735
1758	0.907
1759	1.181
1760	1.117
1761	1.267
1762	1.359
1763	0.887
1764	0.863
1765	1.241
1766	0.933
1767	0.865
1768	1.18
1769	1.022
1770	1.108
1771	0.889
1772	1.018
1773	0.956
1774	0.81
1775	1.151
1776	0.321
1777	0.508
1778	0.456
1779	0.71
1780	0.913
1781	0.581
1782	0.786
1783	0.614
1784	0.858
1785	0.833
1786	0.869
1787	0.752
1788	0.781
1789	0.972
1790	0.901
1791	1.388
1792	1.058
1793	1.065
1794	0.838
1795	0.774
1796	0.775
1797	0.649
1798	0.721
1799	1.047
1800	0.966
1801	0.913
1802	1.041
1803	1.367
1804	1.156
1805	1.28
1806	1.419
1807	1.268
1808	1.301
1809	1.717
1810	1.518
1811	1.492
1812	1.565
1813	1.236
1814	1.644
1815	1.134
1816	1.08
1817	0.858
1818	1.244
1819	1.053
1820	0.977
1821	1.036
1822	0.554
1823	0.681
1824	0.84
1825	0.93
1826	1.138
1827	1.056
1828	1.158
1829	0.61
1830	0.841
1831	0.768
1832	1.235
1833	1.161
1834	0.97
1835	1.094
1836	1.388
1837	1.251
1838	1.408
1839	0.698
1840	0.936
1841	0.671
1842	0.768
1843	0.662
1844	0.591
1845	0.941
1846	0.74
1847	0.882
1848	0.819
1849	0.856
1850	0.897
1851	1.069
1852	1.121
1853	1.043
1854	1.011
1855	1.445
1856	0.93
1857	1.036
1858	0.939
1859	0.772
1860	1.162
1861	1.424
1862	0.966
1863	1.041
1864	0.758
1865	0.731
1866	1.234
1867	0.873
1868	1.196
1869	1.13
1870	0.934
1871	0.669
1872	0.839
1873	0.88
1874	0.863
1875	1.217
1876	0.869
1877	1.185
1878	1.152
1879	1.163
1880	0.707
1881	1.247
1882	0.93
1883	0.915
1884	1.071
1885	1.509
1886	1.025
1887	1.124
1888	1.065
1889	0.307
1890	0.466
1891	0.742
1892	0.686
1893	0.883
1894	1.124
1895	0.96
1896	0.955
1897	1.088
1898	0.844
1899	0.718
1900	1.341
1901	1.144
1902	0.98
1903	0.89
1904	1.126
1905	1.013
1906	0.997
1907	1.458
1908	1.401
1909	1.164
1910	1.027
1911	0.888
1912	0.927
1913	1.328
1914	1.273
1915	1.348
1916	1.256
1917	0.939
1918	0.716
1919	0.819
1920	0.715
1921	1.019
1922	0.723
1923	1
1924	0.236
1925	0.53
1926	0.551
1927	0.515
1928	0.761
1929	0.43
1930	0.539
1931	0.257
1932	0.394
1933	0.317
1934	0.269
1935	0.491
1936	0.461
1937	0.229
1938	0.6
1939	0.414
1940	0.562
1941	0.82
1942	1.27
1943	1.415
1944	0.789
1945	1.038
1946	1.29
1947	1.286
1948	1.042
1949	0.861
1950	1.274
1951	1.287
1952	1.29
1953	1.63
1954	1.549
1955	1.314
1956	1.288
1957	1.523
1958	1.64
1959	1.134
1960	0.861
1961	0.864
1962	1.114
1963	1.263
1964	1.09
1965	1.428
1966	1.638
1967	1.095
1968	1.003
1969	1.599
1970	1.23
1971	1.342
1972	1.651
1973	1.042
1974	0.978
1975	0.998
1976	0.888
1977	0.888
1978	1.032
1979	1.073
1980	1.253