ÃÂ¯ÃÂ»ÃÂ¿# northamerica_usa_or029 - Cross Canyon Oregon - 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:
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# Online_Resource: https://www.ncdc.noaa.gov/paleo/study/24611
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# Original_Source_URL:https://www.ncdc.noaa.gov/paleo/study/5074
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# Description/Documentation lines begin with #
# Data lines have no #
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# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: northamerica_usa_or029 - Cross Canyon Oregon - 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: Cross Canyon Oregon
#	Location:
#	Country: United States
#	Northernmost_Latitude: 45.97
#	Southernmost_Latitude: 45.97
#	Easternmost_Longitude: -117.68
#	Westernmost_Longitude: -117.68
#	Elevation: 1317 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_or029B
#	Earliest_Year: 1485
#	Most_Recent_Year: 1991
#	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":"4.64637020808","T2":"15.068670252","M1":"0.0230576306519","M2":"0.506776072005"}}
#--------------------
# Species
#	Species_Name: ponderosa pine
#	Species_Code: PIPO
#--------------------
# Chronology:
#
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#
#--------------------
# 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
1485	0.763
1486	0.866
1487	0.796
1488	1.077
1489	0.925
1490	0.879
1491	0.889
1492	0.766
1493	0.804
1494	0.94
1495	0.899
1496	1.067
1497	0.93
1498	0.82
1499	0.762
1500	0.795
1501	0.858
1502	0.904
1503	1.019
1504	1.027
1505	1.039
1506	1.231
1507	0.986
1508	1.086
1509	1.105
1510	0.985
1511	1.077
1512	0.927
1513	0.975
1514	1.087
1515	1.109
1516	1.17
1517	0.946
1518	1.182
1519	1.119
1520	0.886
1521	0.668
1522	0.686
1523	0.794
1524	1.158
1525	1.315
1526	1.126
1527	1.077
1528	1.341
1529	0.864
1530	1.259
1531	1.186
1532	1.323
1533	1.24
1534	0.984
1535	1.33
1536	1.214
1537	1.133
1538	1.297
1539	1.248
1540	0.753
1541	0.719
1542	0.674
1543	0.728
1544	0.876
1545	1.011
1546	0.963
1547	1.236
1548	1.033
1549	1.155
1550	1.151
1551	1.23
1552	1.351
1553	1.288
1554	0.773
1555	1.258
1556	1.004
1557	1.017
1558	0.967
1559	1.192
1560	0.99
1561	1.277
1562	1.003
1563	1.185
1564	1.017
1565	0.756
1566	1.048
1567	1.087
1568	0.89
1569	1.073
1570	1.174
1571	0.848
1572	1.07
1573	1.297
1574	1.165
1575	1.302
1576	1.038
1577	1.079
1578	1.022
1579	1.076
1580	1.117
1581	0.641
1582	1.075
1583	0.859
1584	0.83
1585	1.044
1586	1.047
1587	1.127
1588	1.296
1589	1.01
1590	1.219
1591	0.947
1592	1.1
1593	0.927
1594	0.72
1595	0.7
1596	0.865
1597	0.952
1598	0.909
1599	0.884
1600	0.861
1601	1.269
1602	1.228
1603	1.022
1604	1.114
1605	1.096
1606	1.234
1607	1.13
1608	1.174
1609	1.189
1610	1.154
1611	1.085
1612	1.197
1613	1.173
1614	0.945
1615	0.999
1616	0.996
1617	1.286
1618	0.995
1619	0.764
1620	0.868
1621	0.998
1622	0.978
1623	0.708
1624	1.049
1625	1.094
1626	0.802
1627	0.768
1628	0.926
1629	1.047
1630	0.86
1631	1.051
1632	1.093
1633	1.053
1634	0.721
1635	0.6
1636	0.641
1637	0.746
1638	0.842
1639	0.817
1640	0.918
1641	1.18
1642	1.304
1643	0.996
1644	0.998
1645	1.115
1646	1.012
1647	0.728
1648	0.981
1649	0.778
1650	0.866
1651	0.673
1652	0.605
1653	0.825
1654	0.973
1655	0.826
1656	1.185
1657	0.88
1658	1.373
1659	1.255
1660	1.348
1661	1.165
1662	0.926
1663	1.032
1664	0.963
1665	0.825
1666	1.188
1667	1.175
1668	1.004
1669	1.444
1670	1.471
1671	1.36
1672	1.3
1673	1.316
1674	0.982
1675	1.116
1676	0.964
1677	0.851
1678	1.044
1679	1.263
1680	0.971
1681	1.395
1682	0.929
1683	0.897
1684	1.016
1685	1.072
1686	1.048
1687	1.036
1688	1.019
1689	0.986
1690	1.029
1691	1.095
1692	1.227
1693	1.184
1694	1.236
1695	0.946
1696	1.007
1697	1.083
1698	0.837
1699	1.102
1700	1.057
1701	0.977
1702	1.115
1703	1.2
1704	1.04
1705	1.001
1706	0.818
1707	1.019
1708	0.691
1709	0.753
1710	0.89
1711	1.079
1712	1.164
1713	1.074
1714	0.905
1715	1.262
1716	1.257
1717	0.686
1718	0.75
1719	0.784
1720	0.841
1721	0.316
1722	0.799
1723	0.937
1724	0.953
1725	0.927
1726	1.059
1727	1.491
1728	0.91
1729	0.813
1730	1
1731	0.986
1732	1.049
1733	1.17
1734	0.847
1735	0.915
1736	0.714
1737	0.81
1738	0.97
1739	0.737
1740	0.726
1741	0.755
1742	0.865
1743	0.905
1744	0.853
1745	1.123
1746	1.103
1747	0.937
1748	0.73
1749	0.887
1750	1.162
1751	1.115
1752	0.952
1753	0.739
1754	0.685
1755	0.9
1756	0.446
1757	0.416
1758	0.535
1759	0.511
1760	0.592
1761	0.98
1762	0.813
1763	0.772
1764	0.811
1765	0.945
1766	1.038
1767	0.956
1768	0.863
1769	0.869
1770	1.078
1771	0.957
1772	0.892
1773	1.062
1774	0.985
1775	1.139
1776	0.967
1777	0.779
1778	0.975
1779	1.064
1780	1.169
1781	1.055
1782	1.05
1783	0.786
1784	0.777
1785	0.854
1786	0.872
1787	0.653
1788	0.901
1789	1.022
1790	0.993
1791	1.094
1792	0.914
1793	1.044
1794	0.899
1795	1.072
1796	1.065
1797	0.671
1798	0.633
1799	0.982
1800	0.735
1801	0.805
1802	1.124
1803	1.155
1804	0.785
1805	0.887
1806	1.031
1807	0.84
1808	0.738
1809	0.912
1810	0.84
1811	0.988
1812	1.26
1813	1.124
1814	1.498
1815	1.262
1816	1.409
1817	1.12
1818	1.324
1819	1.291
1820	1.15
1821	1.143
1822	1.287
1823	0.825
1824	1.038
1825	1.152
1826	1.115
1827	1.085
1828	1.061
1829	1.38
1830	1.121
1831	0.954
1832	1.314
1833	1.386
1834	0.992
1835	0.961
1836	0.995
1837	0.968
1838	1.148
1839	0.519
1840	0.693
1841	0.942
1842	0.867
1843	0.965
1844	0.852
1845	1.121
1846	0.968
1847	0.82
1848	0.744
1849	0.573
1850	0.745
1851	0.768
1852	0.777
1853	0.926
1854	0.913
1855	1.179
1856	1.112
1857	1.13
1858	1.219
1859	0.983
1860	1.143
1861	1.38
1862	1.284
1863	1.267
1864	1.243
1865	0.971
1866	1.239
1867	1.092
1868	0.921
1869	0.778
1870	0.884
1871	0.965
1872	0.942
1873	0.897
1874	1.014
1875	1.078
1876	1.388
1877	1.61
1878	1.625
1879	1.407
1880	1.276
1881	1.725
1882	1.351
1883	0.981
1884	1.142
1885	1.451
1886	0.988
1887	0.827
1888	1.235
1889	0.797
1890	0.627
1891	0.825
1892	0.793
1893	0.682
1894	1.071
1895	1.011
1896	0.717
1897	1.004
1898	0.926
1899	0.743
1900	1.187
1901	1.123
1902	0.951
1903	1.259
1904	1.596
1905	0.987
1906	0.873
1907	1.289
1908	1.303
1909	1.12
1910	0.99
1911	0.83
1912	0.881
1913	1.427
1914	1.366
1915	0.961
1916	1.09
1917	1.055
1918	0.88
1919	1.136
1920	0.915
1921	1.358
1922	0.942
1923	0.854
1924	0.894
1925	0.774
1926	0.68
1927	0.997
1928	1.266
1929	0.713
1930	0.553
1931	0.604
1932	0.606
1933	0.65
1934	0.91
1935	0.828
1936	0.704
1937	0.797
1938	1.072
1939	0.775
1940	0.632
1941	0.945
1942	1.478
1943	1.159
1944	0.64
1945	0.822
1946	1.202
1947	1.345
1948	0.733
1949	0.947
1950	1.24
1951	1.177
1952	1.206
1953	0.993
1954	1.014
1955	1.185
1956	1.201
1957	1.137
1958	0.824
1959	1.036
1960	1.435
1961	1.199
1962	0.922
1963	1.081
1964	0.742
1965	0.875
1966	1.065
1967	0.661
1968	0.466
1969	0.908
1970	0.755
1971	0.658
1972	0.722
1973	0.618
1974	0.546
1975	0.846
1976	1.139
1977	0.456
1978	0.697
1979	0.733
1980	0.925
1981	1.15
1982	0.81
1983	1.212
1984	1.293
1985	0.691
1986	1.039
1987	0.906
1988	0.481
1989	0.472
1990	1.208
1991	0.942