ÃÂ¯ÃÂ»ÃÂ¿# northamerica_usa_ca527 - Greenville Saddle - 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/3315
#
# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: northamerica_usa_ca527 - Greenville Saddle - 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: Greenville Saddle
#	Location:
#	Country: United States
#	Northernmost_Latitude: 40.22
#	Southernmost_Latitude: 40.22
#	Easternmost_Longitude: -120.92
#	Westernmost_Longitude: -120.92
#	Elevation: 1768 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_ca527B
#	Earliest_Year: 1400
#	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":"4.56707126206","T2":"14.2646484774","M1":"0.0224958714111","M2":"0.480043734577"}}
#--------------------
# 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
1400	0.883
1401	0.875
1402	0.634
1403	0.676
1404	0.794
1405	0.828
1406	0.904
1407	0.812
1408	0.805
1409	0.83
1410	0.806
1411	0.925
1412	1.052
1413	1.028
1414	0.825
1415	0.936
1416	0.767
1417	0.793
1418	0.854
1419	0.837
1420	1.052
1421	0.899
1422	1.045
1423	0.874
1424	1.021
1425	1.169
1426	0.997
1427	1.033
1428	0.965
1429	1.225
1430	1.001
1431	1.08
1432	1.116
1433	1.091
1434	1.223
1435	0.787
1436	1.042
1437	1.078
1438	1
1439	1.22
1440	0.755
1441	0.95
1442	0.968
1443	1.049
1444	1.041
1445	0.741
1446	0.91
1447	1.08
1448	0.983
1449	0.859
1450	0.69
1451	1.138
1452	1.255
1453	1.113
1454	1.087
1455	1.07
1456	1.224
1457	1.1
1458	0.969
1459	0.922
1460	0.938
1461	1.082
1462	1.14
1463	0.863
1464	0.933
1465	1.106
1466	1.012
1467	0.931
1468	0.765
1469	0.626
1470	0.646
1471	0.573
1472	0.577
1473	0.621
1474	0.736
1475	0.628
1476	0.662
1477	0.674
1478	0.688
1479	0.603
1480	0.664
1481	0.676
1482	0.691
1483	0.846
1484	0.79
1485	0.729
1486	0.693
1487	0.681
1488	0.567
1489	0.732
1490	0.625
1491	0.667
1492	0.645
1493	0.427
1494	0.513
1495	0.649
1496	0.707
1497	0.546
1498	0.559
1499	0.701
1500	0.531
1501	0.52
1502	0.707
1503	0.567
1504	0.525
1505	0.7
1506	0.865
1507	0.813
1508	0.662
1509	0.875
1510	0.846
1511	0.933
1512	1.092
1513	0.802
1514	0.624
1515	0.81
1516	0.905
1517	0.671
1518	0.7
1519	0.734
1520	0.675
1521	0.816
1522	0.859
1523	0.82
1524	1.094
1525	1.06
1526	1.033
1527	1.007
1528	0.975
1529	1.157
1530	1.019
1531	0.859
1532	0.913
1533	0.644
1534	0.738
1535	0.883
1536	0.869
1537	0.862
1538	1.009
1539	1.145
1540	1.045
1541	1.209
1542	1.354
1543	1.292
1544	1.19
1545	1.318
1546	0.998
1547	1.321
1548	1.349
1549	0.991
1550	1.355
1551	1.32
1552	1.042
1553	1.219
1554	1.201
1555	1.03
1556	1.252
1557	1.133
1558	1.099
1559	1.205
1560	0.875
1561	1.045
1562	1.179
1563	1.088
1564	1.126
1565	0.881
1566	0.865
1567	0.888
1568	0.96
1569	1.057
1570	0.938
1571	1.036
1572	0.892
1573	1.14
1574	0.86
1575	1.165
1576	1.096
1577	1.093
1578	1.057
1579	0.881
1580	0.773
1581	0.453
1582	0.648
1583	1.016
1584	0.854
1585	0.939
1586	1.196
1587	1.095
1588	1.216
1589	1.013
1590	1.136
1591	1
1592	0.981
1593	0.894
1594	1.275
1595	1.155
1596	1.013
1597	1.063
1598	1.126
1599	1.009
1600	1.033
1601	0.958
1602	1.221
1603	0.899
1604	0.9
1605	1.071
1606	1.063
1607	1.258
1608	0.913
1609	0.95
1610	1.02
1611	1.131
1612	0.827
1613	0.926
1614	0.926
1615	1.406
1616	0.76
1617	1.107
1618	1.155
1619	0.744
1620	0.828
1621	0.839
1622	0.871
1623	0.846
1624	0.867
1625	0.905
1626	0.834
1627	0.865
1628	0.913
1629	0.801
1630	0.7
1631	0.851
1632	0.923
1633	1
1634	0.941
1635	1.186
1636	1.277
1637	0.635
1638	0.863
1639	0.756
1640	0.69
1641	1.079
1642	1.099
1643	1.024
1644	1.201
1645	1.4
1646	0.896
1647	1.106
1648	0.93
1649	1.028
1650	0.741
1651	0.898
1652	1.111
1653	0.934
1654	1.014
1655	0.98
1656	0.992
1657	1.003
1658	1.036
1659	1.015
1660	1.101
1661	1.171
1662	0.934
1663	1.119
1664	0.771
1665	0.779
1666	0.803
1667	0.92
1668	0.683
1669	0.879
1670	0.859
1671	0.949
1672	0.952
1673	1.192
1674	1.282
1675	1.405
1676	1.007
1677	0.916
1678	1.014
1679	1.027
1680	0.956
1681	1.253
1682	0.866
1683	0.672
1684	0.842
1685	0.899
1686	0.935
1687	0.959
1688	0.943
1689	0.7
1690	0.968
1691	1.165
1692	0.993
1693	1.023
1694	0.969
1695	1.134
1696	0.866
1697	1.157
1698	0.899
1699	1.005
1700	1.031
1701	0.781
1702	1.347
1703	0.915
1704	0.921
1705	1.118
1706	0.943
1707	0.904
1708	1.012
1709	0.849
1710	1.145
1711	0.843
1712	1.028
1713	1.037
1714	0.965
1715	1.085
1716	1.035
1717	1.116
1718	0.933
1719	1.12
1720	1.101
1721	1.364
1722	1.166
1723	1.324
1724	1.056
1725	1.039
1726	1.315
1727	1.144
1728	0.877
1729	0.826
1730	0.948
1731	1.121
1732	1.034
1733	1.1
1734	0.765
1735	1.088
1736	1.049
1737	1.043
1738	1.286
1739	1.204
1740	0.702
1741	0.631
1742	0.768
1743	0.896
1744	0.992
1745	1.061
1746	0.915
1747	0.886
1748	0.809
1749	1.112
1750	0.961
1751	1.052
1752	0.944
1753	0.828
1754	0.752
1755	1.211
1756	0.791
1757	0.817
1758	0.961
1759	0.928
1760	0.828
1761	1.163
1762	1.082
1763	0.939
1764	0.91
1765	1.234
1766	1.092
1767	1.124
1768	1.45
1769	0.987
1770	1.216
1771	0.933
1772	1.084
1773	1.048
1774	0.972
1775	1.194
1776	1.015
1777	1.061
1778	0.932
1779	0.955
1780	1.227
1781	0.94
1782	1.042
1783	0.871
1784	0.911
1785	1.157
1786	1.036
1787	0.681
1788	0.803
1789	0.896
1790	0.837
1791	1.188
1792	1.092
1793	1.294
1794	1.095
1795	0.953
1796	0.829
1797	0.93
1798	1.087
1799	1.25
1800	1.099
1801	0.908
1802	0.918
1803	1.138
1804	1.183
1805	1.167
1806	1.195
1807	1.237
1808	1.053
1809	1.359
1810	1.277
1811	1.337
1812	1.289
1813	1.027
1814	1.416
1815	1.263
1816	1.186
1817	0.979
1818	1.148
1819	1.109
1820	0.855
1821	0.917
1822	1.101
1823	0.792
1824	0.873
1825	1.116
1826	1.031
1827	0.935
1828	1.063
1829	0.737
1830	0.543
1831	0.72
1832	1.082
1833	0.944
1834	0.832
1835	0.738
1836	0.762
1837	1.08
1838	1.005
1839	0.777
1840	0.831
1841	0.871
1842	0.609
1843	0.882
1844	0.867
1845	1.156
1846	0.714
1847	0.825
1848	0.738
1849	0.851
1850	0.801
1851	0.949
1852	0.877
1853	0.804
1854	0.812
1855	0.992
1856	0.896
1857	1.091
1858	0.883
1859	0.522
1860	0.8
1861	1.309
1862	0.637
1863	1.001
1864	0.84
1865	0.807
1866	0.932
1867	0.91
1868	1.049
1869	0.972
1870	0.847
1871	0.8
1872	0.918
1873	0.899
1874	0.701
1875	0.894
1876	0.652
1877	1.1
1878	0.871
1879	1.081
1880	0.862
1881	1.213
1882	0.849
1883	0.799
1884	0.879
1885	1.122
1886	0.558
1887	0.862
1888	0.976
1889	0.846
1890	0.686
1891	0.827
1892	0.754
1893	0.845
1894	0.931
1895	0.976
1896	0.92
1897	1.03
1898	1.209
1899	0.907
1900	1.355
1901	1.353
1902	0.991
1903	0.962
1904	0.931
1905	0.985
1906	1.001
1907	1.28
1908	1.219
1909	1.135
1910	0.973
1911	1.014
1912	1.149
1913	1.423
1914	1.1
1915	1.08
1916	1.07
1917	0.899
1918	0.882
1919	1.088
1920	0.802
1921	1.077
1922	0.771
1923	1.119
1924	0.914
1925	0.912
1926	1.116
1927	0.696
1928	0.798
1929	0.712
1930	0.812
1931	1.075
1932	0.687
1933	0.616
1934	1.082
1935	0.639
1936	0.59
1937	0.531
1938	0.841
1939	0.938
1940	0.86
1941	1.045
1942	1.047
1943	1.269
1944	0.981
1945	1.188
1946	1.106
1947	1.318
1948	1.024
1949	0.835
1950	0.864
1951	1.255
1952	0.98
1953	1.022
1954	1.101
1955	0.976
1956	0.99
1957	1.308
1958	1.511
1959	1.054
1960	0.945
1961	1.065
1962	1.138
1963	1.203
1964	1.115
1965	0.913
1966	1.081
1967	0.853
1968	0.879
1969	1.056
1970	0.885
1971	0.898
1972	0.939
1973	0.903
1974	0.881
1975	0.973
1976	1.107
1977	0.819
1978	1.012
1979	1.003
1980	1.263