ÃÂ¯ÃÂ»ÃÂ¿# northamerica_usa_ca646 - Rock Springs Ranch - 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/8564
#
# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: northamerica_usa_ca646 - Rock Springs Ranch - 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: Rock Springs Ranch
#	Location:
#	Country: United States
#	Northernmost_Latitude: 36.82
#	Southernmost_Latitude: 36.82
#	Easternmost_Longitude: -120.88
#	Westernmost_Longitude: -120.88
#	Elevation: 1067 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_ca646B
#	Earliest_Year: 1379
#	Most_Recent_Year: 2003
#	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":"4.3672225736","T2":"16.3182136452","M1":"0.0224996090645","M2":"0.468699733746"}}
#--------------------
# Species
#	Species_Name: blue oak
#	Species_Code: QUDG
#--------------------
# 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
1379	0.583
1380	1.189
1381	1.014
1382	0.862
1383	1.514
1384	0.973
1385	1.157
1386	0.787
1387	0.809
1388	0.902
1389	0.893
1390	0.429
1391	0.681
1392	0.812
1393	0.738
1394	1.004
1395	0.999
1396	1.169
1397	0.922
1398	0.946
1399	0.861
1400	0.879
1401	0.754
1402	0.515
1403	1.067
1404	1.025
1405	0.866
1406	1.161
1407	0.352
1408	0.72
1409	0.986
1410	0.747
1411	1.257
1412	1.412
1413	0.851
1414	1.719
1415	1.168
1416	1
1417	0.761
1418	1.062
1419	0.609
1420	1.943
1421	0.934
1422	1.34
1423	1.283
1424	1.463
1425	0.728
1426	0.813
1427	0.954
1428	0.873
1429	0.811
1430	0.484
1431	0.52
1432	0.806
1433	1.592
1434	0.687
1435	1.273
1436	1.945
1437	1.438
1438	1.422
1439	1.242
1440	1.733
1441	1.56
1442	1.244
1443	1.287
1444	0.541
1445	1.432
1446	1.173
1447	0.933
1448	1.27
1449	1.475
1450	0.925
1451	1.186
1452	0.381
1453	0.753
1454	0.943
1455	1.254
1456	0.738
1457	1.028
1458	1.573
1459	0.483
1460	0.988
1461	0.679
1462	1.325
1463	0.88
1464	0.593
1465	0.678
1466	1.578
1467	1.89
1468	0.551
1469	1.309
1470	1.954
1471	1.33
1472	0.804
1473	0.823
1474	1.141
1475	0.796
1476	0.527
1477	0.76
1478	0.759
1479	0.404
1480	0.194
1481	0.707
1482	0.994
1483	0.896
1484	1.488
1485	1.296
1486	1.38
1487	1.489
1488	1.587
1489	1.358
1490	1.078
1491	1.466
1492	0.847
1493	1.357
1494	0.852
1495	0.958
1496	0.873
1497	0.38
1498	0.874
1499	0.198
1500	0.928
1501	1.415
1502	1.236
1503	1.404
1504	0.827
1505	0.516
1506	0.571
1507	0.377
1508	1.058
1509	1.341
1510	0.64
1511	0.597
1512	1.104
1513	1.095
1514	0.94
1515	0.914
1516	0.682
1517	1.008
1518	0.225
1519	0.412
1520	0.642
1521	0.317
1522	0.949
1523	1.011
1524	1.811
1525	1.305
1526	1.098
1527	0.758
1528	0.738
1529	0.195
1530	1.512
1531	0.831
1532	0.288
1533	0.711
1534	1.386
1535	1.372
1536	1.311
1537	1.022
1538	1.071
1539	1.262
1540	0.74
1541	0.361
1542	0.48
1543	0.509
1544	0.732
1545	0.781
1546	1.129
1547	0.819
1548	0.471
1549	1.115
1550	0.976
1551	1.049
1552	0.937
1553	1.379
1554	0.853
1555	0.782
1556	0.917
1557	1.383
1558	1.218
1559	1.191
1560	1.475
1561	0.681
1562	0.833
1563	1.091
1564	1.173
1565	1.446
1566	1.167
1567	1.248
1568	1.208
1569	0.621
1570	0.699
1571	0.128
1572	0.284
1573	1.068
1574	0.902
1575	0.652
1576	0.697
1577	1.441
1578	0.998
1579	0.168
1580	0.023
1581	0.928
1582	0.955
1583	1.636
1584	1.02
1585	0.216
1586	1.039
1587	1.029
1588	0.647
1589	1.429
1590	0.626
1591	1.649
1592	0.628
1593	1.015
1594	0.439
1595	0.381
1596	1.188
1597	0.415
1598	1.022
1599	1.547
1600	0.935
1601	1.971
1602	1.59
1603	0.978
1604	1.152
1605	1.401
1606	1.695
1607	1.211
1608	0.867
1609	1.336
1610	1.519
1611	1.367
1612	1.314
1613	0.331
1614	1.005
1615	1.239
1616	1.392
1617	1.277
1618	0.977
1619	1.108
1620	1.478
1621	0.539
1622	0.587
1623	1.755
1624	1.046
1625	1.436
1626	0.784
1627	1.447
1628	1.041
1629	0.486
1630	1.042
1631	0.527
1632	0.355
1633	0.544
1634	0.369
1635	1.152
1636	0.655
1637	0.251
1638	0.859
1639	0.307
1640	1.315
1641	1.17
1642	1.18
1643	0.616
1644	0.892
1645	0.982
1646	0.736
1647	0.855
1648	0.964
1649	1.221
1650	0.94
1651	1.689
1652	0.898
1653	0.649
1654	0.174
1655	0.387
1656	1.768
1657	0.867
1658	0.749
1659	0.394
1660	1.493
1661	1.29
1662	1.356
1663	0.676
1664	1.325
1665	0.763
1666	0.589
1667	0.305
1668	1.255
1669	0.293
1670	0.144
1671	1.278
1672	1.091
1673	0.425
1674	0.853
1675	1.212
1676	0.356
1677	1.796
1678	1.13
1679	0.949
1680	1.691
1681	0.716
1682	1.289
1683	1.613
1684	1.262
1685	1.354
1686	0.739
1687	1.159
1688	1.041
1689	1.101
1690	0.889
1691	0.252
1692	1.271
1693	1.309
1694	0.953
1695	0.899
1696	1.592
1697	1.51
1698	1.098
1699	1.233
1700	0.942
1701	0.587
1702	1.518
1703	0.723
1704	1.367
1705	0.985
1706	0.334
1707	0.419
1708	0.631
1709	1.27
1710	0.61
1711	1.323
1712	1.17
1713	0.995
1714	0.694
1715	0.833
1716	0.629
1717	1.355
1718	1.022
1719	0.616
1720	1.244
1721	0.374
1722	0.489
1723	1.927
1724	1.176
1725	1.263
1726	0.673
1727	1.38
1728	0.585
1729	0.486
1730	2.247
1731	1.735
1732	1.487
1733	0.556
1734	1.35
1735	0.857
1736	0.593
1737	0.461
1738	1.271
1739	0.795
1740	1.434
1741	1.463
1742	1.561
1743	1.543
1744	1.383
1745	1.635
1746	1.288
1747	1.579
1748	0.942
1749	0.982
1750	1.062
1751	0.812
1752	0.771
1753	0.767
1754	0.504
1755	0.648
1756	0.469
1757	0.347
1758	0.818
1759	0.658
1760	0.67
1761	0.597
1762	0.832
1763	0.935
1764	0.527
1765	0.189
1766	0.873
1767	0.95
1768	1.095
1769	1.256
1770	0.367
1771	1.561
1772	1.273
1773	1.019
1774	1.231
1775	0.989
1776	0.485
1777	0.411
1778	0.91
1779	1.264
1780	0.614
1781	0.498
1782	0.159
1783	0.253
1784	1.172
1785	1.273
1786	0.875
1787	1.3
1788	0.634
1789	1.731
1790	1.782
1791	1.299
1792	1.903
1793	1.201
1794	0.616
1795	0.155
1796	0.195
1797	1.175
1798	1.33
1799	1.218
1800	0.606
1801	1.408
1802	1.016
1803	0.444
1804	1.054
1805	0.695
1806	0.803
1807	0.561
1808	0.628
1809	0.377
1810	0.714
1811	1.344
1812	0.816
1813	1.097
1814	1.034
1815	1.14
1816	1.257
1817	1.568
1818	1.195
1819	1.403
1820	1.006
1821	1.517
1822	0.906
1823	0.697
1824	0.488
1825	2.285
1826	1.602
1827	0.848
1828	1.78
1829	0.392
1830	1.073
1831	0.793
1832	1.674
1833	1.339
1834	1.256
1835	0.857
1836	0.727
1837	0.651
1838	1.526
1839	1.228
1840	1.047
1841	0.307
1842	1.309
1843	0.297
1844	0.298
1845	0.509
1846	0.478
1847	1.455
1848	1.262
1849	1.083
1850	1.309
1851	0.621
1852	1.4
1853	1.617
1854	1.122
1855	0.875
1856	0.29
1857	0.552
1858	0.429
1859	0.475
1860	0.864
1861	0.822
1862	1.647
1863	0.84
1864	0.226
1865	0.746
1866	0.719
1867	1.659
1868	2.406
1869	1.505
1870	0.617
1871	0.523
1872	1.042
1873	0.854
1874	0.812
1875	0.756
1876	1.368
1877	0.186
1878	1.611
1879	0.298
1880	0.877
1881	0.771
1882	0.792
1883	0.569
1884	1.923
1885	1.019
1886	1.695
1887	0.918
1888	1.003
1889	1.103
1890	2.155
1891	1.255
1892	0.597
1893	1.647
1894	0.771
1895	1.162
1896	0.827
1897	0.73
1898	0.127
1899	0.361
1900	0.547
1901	1.522
1902	0.819
1903	0.945
1904	0.743
1905	0.984
1906	1.226
1907	1.925
1908	1.377
1909	1.723
1910	1.273
1911	1.598
1912	0.756
1913	0.468
1914	1.778
1915	1.424
1916	1.707
1917	1.155
1918	0.841
1919	0.748
1920	0.607
1921	0.897
1922	1.113
1923	0.824
1924	0.23
1925	0.418
1926	0.673
1927	0.973
1928	0.552
1929	0.643
1930	0.418
1931	0.198
1932	1.479
1933	0.457
1934	0.455
1935	1.31
1936	1.514
1937	1.663
1938	1.811
1939	0.686
1940	1.099
1941	1.902
1942	1.443
1943	0.981
1944	1.026
1945	0.893
1946	0.644
1947	0.282
1948	0.452
1949	0.868
1950	0.517
1951	0.393
1952	1.657
1953	0.778
1954	0.825
1955	0.689
1956	1.253
1957	0.65
1958	1.996
1959	0.825
1960	0.532
1961	0.231
1962	1.223
1963	0.952
1964	0.401
1965	1.042
1966	0.816
1967	1.558
1968	0.321
1969	1.819
1970	0.813
1971	0.618
1972	0.356
1973	1.434
1974	1.182
1975	0.956
1976	0.238
1977	0.201
1978	2.256
1979	1.122
1980	1.344
1981	0.719
1982	1.518
1983	2.034
1984	1.091
1985	0.56
1986	1.264
1987	0.453
1988	0.258
1989	0.289
1990	0.199
1991	0.61
1992	0.709
1993	1.835
1994	0.665
1995	1.555
1996	1.279
1997	1.241
1998	2.537
1999	1.011
2000	1.159
2001	0.905
2002	0.338
2003	0.848