ÃÂ¯ÃÂ»ÃÂ¿# northamerica_usa_ca089 - Sorrel Peak - 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/3552
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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_ca089 - Sorrel Peak - 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 VaganovÃÂ¢ÃÂÃÂShashkin 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 4ÃÂ¢ÃÂÃÂ6 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 modelÃÂ¢ÃÂÃÂs 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: Sorrel Peak
#	Location:
#	Country: United States
#	Northernmost_Latitude: 35.43
#	Southernmost_Latitude: 35.43
#	Easternmost_Longitude: -118.28
#	Westernmost_Longitude: -118.28
#	Elevation: 2011 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_ca089B
#	Earliest_Year: 1505
#	Most_Recent_Year: 1981
#	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":"4.42429661165","T2":"15.5789829722","M1":"0.0229384523564","M2":"0.419862784904"}}
#--------------------
# Species
#	Species_Name: Jeffrey pine
#	Species_Code: PIJE
#--------------------
# 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
1505	0.78
1506	0.897
1507	0.978
1508	1.317
1509	1.151
1510	1.048
1511	1.034
1512	0.986
1513	1.066
1514	0.797
1515	0.386
1516	0.81
1517	0.877
1518	0.888
1519	0.782
1520	0.416
1521	0.393
1522	0.756
1523	0.869
1524	0.873
1525	0.809
1526	0.852
1527	1.114
1528	0.825
1529	0.756
1530	0.818
1531	1.076
1532	0.928
1533	0.99
1534	1.121
1535	1.342
1536	0.73
1537	0.811
1538	0.965
1539	1.544
1540	0.785
1541	0.594
1542	0.73
1543	0.895
1544	1.319
1545	0.889
1546	0.6
1547	0.668
1548	0.502
1549	0.745
1550	0.945
1551	1.082
1552	1.2
1553	1.274
1554	1.215
1555	1.08
1556	1.06
1557	1.094
1558	1.216
1559	1.275
1560	1.224
1561	1.1
1562	1.126
1563	1.013
1564	1.187
1565	1.291
1566	1.166
1567	1.263
1568	1.191
1569	0.986
1570	1.065
1571	0.518
1572	1.053
1573	0.817
1574	0.741
1575	0.728
1576	0.587
1577	1.102
1578	0.94
1579	0.353
1580	0.262
1581	0.937
1582	0.822
1583	1.074
1584	0.719
1585	0.321
1586	0.96
1587	1.055
1588	0.915
1589	1.444
1590	0.529
1591	1.35
1592	0.827
1593	1.035
1594	1.213
1595	1.241
1596	1.398
1597	0.805
1598	0.952
1599	1.053
1600	0.83
1601	1.27
1602	1.201
1603	1.201
1604	1.227
1605	1.532
1606	1.186
1607	1.09
1608	1.642
1609	1.307
1610	1.578
1611	1.637
1612	1.148
1613	0.346
1614	0.945
1615	1.036
1616	1.235
1617	1.279
1618	1.254
1619	1.032
1620	1.131
1621	0.965
1622	1.121
1623	1.133
1624	1.026
1625	1.221
1626	0.629
1627	1.017
1628	1.077
1629	0.877
1630	0.949
1631	0.737
1632	0.528
1633	0.858
1634	0.592
1635	0.972
1636	0.868
1637	0.346
1638	0.449
1639	0.677
1640	0.935
1641	1.126
1642	1.234
1643	0.962
1644	1.162
1645	1.148
1646	0.946
1647	0.841
1648	0.892
1649	1.244
1650	1.024
1651	1.228
1652	1.338
1653	0.568
1654	0.28
1655	0.407
1656	0.94
1657	0.872
1658	0.942
1659	0.96
1660	1.197
1661	1.366
1662	1.424
1663	1.253
1664	1.417
1665	0.724
1666	0.694
1667	0.349
1668	0.971
1669	0.579
1670	0.304
1671	0.949
1672	0.977
1673	1.158
1674	1.193
1675	1.288
1676	0.439
1677	1.036
1678	1.031
1679	1.198
1680	1.345
1681	1.214
1682	1.548
1683	1.181
1684	0.867
1685	1.298
1686	0.645
1687	1.336
1688	1.295
1689	1.24
1690	0.723
1691	0.197
1692	1.156
1693	0.914
1694	0.897
1695	1.083
1696	0.911
1697	1.085
1698	0.834
1699	1.254
1700	1.455
1701	1.236
1702	1.61
1703	1.016
1704	1.131
1705	1.45
1706	0.674
1707	0.594
1708	0.619
1709	0.688
1710	0.579
1711	0.843
1712	0.904
1713	1.021
1714	0.805
1715	1.304
1716	0.889
1717	1.141
1718	1.027
1719	0.971
1720	1.304
1721	1.294
1722	1.071
1723	1.322
1724	1.11
1725	1.195
1726	1.747
1727	1.341
1728	1.083
1729	0.516
1730	1.032
1731	0.885
1732	0.94
1733	0.527
1734	0.956
1735	0.26
1736	0.571
1737	0.448
1738	0.951
1739	0.627
1740	0.883
1741	1.008
1742	1.155
1743	1.208
1744	1.242
1745	1.324
1746	1.197
1747	1.305
1748	0.808
1749	0.821
1750	1.144
1751	0.6
1752	0.814
1753	0.52
1754	0.457
1755	0.492
1756	0.56
1757	0.524
1758	0.944
1759	0.669
1760	0.821
1761	0.956
1762	0.916
1763	0.92
1764	1.016
1765	0.201
1766	1.135
1767	0.797
1768	1.114
1769	0.764
1770	0.853
1771	1.033
1772	0.959
1773	0.597
1774	1.009
1775	1.153
1776	0.959
1777	0.308
1778	0.603
1779	0.876
1780	0.944
1781	1.021
1782	0.487
1783	0.576
1784	1.17
1785	0.997
1786	1.088
1787	1.092
1788	0.661
1789	1.005
1790	0.974
1791	1.219
1792	1.394
1793	1.316
1794	0.848
1795	-0.012
1796	0.67
1797	0.958
1798	0.952
1799	1.178
1800	0.903
1801	1.144
1802	1.193
1803	0.923
1804	1.423
1805	0.756
1806	1.324
1807	0.907
1808	0.779
1809	1.345
1810	0.836
1811	1.565
1812	1.141
1813	0.789
1814	1.125
1815	1.103
1816	1.358
1817	1.285
1818	1.717
1819	1.573
1820	0.948
1821	1.488
1822	0.737
1823	0.471
1824	0.797
1825	1.047
1826	1.4
1827	1.166
1828	1.752
1829	0.755
1830	1.135
1831	1.17
1832	1.776
1833	1.395
1834	0.739
1835	0.68
1836	0.855
1837	1.244
1838	1.524
1839	1.428
1840	1.781
1841	0.57
1842	1.035
1843	0.356
1844	0.662
1845	0.63
1846	1.005
1847	0.604
1848	1.038
1849	1.229
1850	1.272
1851	1.035
1852	1.342
1853	1.343
1854	1.18
1855	1.632
1856	0.472
1857	0.581
1858	0.557
1859	0.779
1860	1.182
1861	1.217
1862	1.081
1863	0.71
1864	0.218
1865	0.724
1866	0.865
1867	1.1
1868	1.405
1869	1.265
1870	0.727
1871	0.874
1872	1.107
1873	0.929
1874	1.022
1875	1.101
1876	1.236
1877	0.2
1878	1.173
1879	0.61
1880	0.796
1881	0.789
1882	0.523
1883	0.434
1884	0.86
1885	0.929
1886	0.905
1887	1.006
1888	1.249
1889	1.235
1890	1.426
1891	1.541
1892	1.274
1893	1.456
1894	1.102
1895	1.374
1896	1.212
1897	1.481
1898	0.229
1899	0.492
1900	0.695
1901	1.231
1902	0.999
1903	0.975
1904	0.737
1905	1.059
1906	1.19
1907	1.403
1908	1.315
1909	1.529
1910	1.378
1911	1.254
1912	1.164
1913	1.463
1914	1.627
1915	1.418
1916	1.545
1917	1.316
1918	1.306
1919	1.267
1920	1.29
1921	1.396
1922	1.21
1923	0.986
1924	0.455
1925	1.15
1926	1.18
1927	0.878
1928	0.906
1929	0.652
1930	1.084
1931	1.041
1932	1.124
1933	0.687
1934	0.449
1935	0.846
1936	0.823
1937	0.947
1938	0.904
1939	0.908
1940	1
1941	1.167
1942	1.213
1943	1.333
1944	1.202
1945	1.305
1946	1.312
1947	1.202
1948	0.564
1949	0.737
1950	0.77
1951	0.496
1952	0.842
1953	0.701
1954	0.722
1955	0.553
1956	0.717
1957	0.667
1958	0.873
1959	0.424
1960	0.752
1961	0.302
1962	0.854
1963	0.732
1964	0.913
1965	1.037
1966	0.991
1967	0.988
1968	1.052
1969	1.171
1970	1.024
1971	0.874
1972	0.282
1973	1.008
1974	0.979
1975	0.585
1976	0.922
1977	1.109
1978	1.183
1979	1.207
1980	1.345
1981	1.262