ÃÂ¯ÃÂ»ÃÂ¿# northamerica_usa_ca625 - Pacheco Pass State Park - 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.
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#
# 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/4916
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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_ca625 - Pacheco Pass State Park - 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: Pacheco Pass State Park
#	Location:
#	Country: United States
#	Northernmost_Latitude: 37.05
#	Southernmost_Latitude: 37.05
#	Easternmost_Longitude: -121.0
#	Westernmost_Longitude: -121.0
#	Elevation: 396 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_ca625B
#	Earliest_Year: 1510
#	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":"3.95957908785","T2":"15.4147734117","M1":"0.0229576996397","M2":"0.479798762222"}}
#--------------------
# 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
1510	1.962
1511	1.561
1512	1.531
1513	2.051
1514	1.407
1515	0.858
1516	0.931
1517	1.369
1518	1.236
1519	0.946
1520	0.645
1521	0.504
1522	0.417
1523	0.881
1524	1.066
1525	0.68
1526	0.541
1527	0.263
1528	0.726
1529	0.575
1530	0.86
1531	0.37
1532	0.383
1533	0.66
1534	0.664
1535	0.806
1536	1.052
1537	0.884
1538	0.967
1539	0.63
1540	0.457
1541	0.433
1542	0.446
1543	0.347
1544	0.559
1545	0.57
1546	0.803
1547	0.951
1548	0.978
1549	0.652
1550	1.246
1551	1.018
1552	1.308
1553	1.38
1554	1.545
1555	0.698
1556	1.119
1557	1.661
1558	1.536
1559	1.101
1560	0.956
1561	0.28
1562	0.234
1563	0.183
1564	0.179
1565	0.226
1566	0.234
1567	0.367
1568	0.602
1569	0.613
1570	0.382
1571	0.304
1572	0.153
1573	0.508
1574	0.957
1575	0.742
1576	0.577
1577	0.642
1578	1.267
1579	0.662
1580	0.24
1581	0.934
1582	0.899
1583	1.032
1584	0.864
1585	0.542
1586	0.961
1587	1.165
1588	0.925
1589	1.565
1590	0.748
1591	1.487
1592	0.627
1593	1.264
1594	0.516
1595	0.719
1596	1.788
1597	0.824
1598	1.241
1599	1.605
1600	1.068
1601	1.471
1602	1.029
1603	1.377
1604	1.708
1605	2.038
1606	1.777
1607	1.51
1608	1.271
1609	1.37
1610	1.455
1611	1.623
1612	1.235
1613	0.238
1614	0.984
1615	1.34
1616	1.408
1617	1.564
1618	0.507
1619	1.091
1620	1.772
1621	0.66
1622	0.688
1623	2.319
1624	1.328
1625	1.368
1626	0.524
1627	0.802
1628	1.412
1629	0.576
1630	1.872
1631	0.871
1632	0.348
1633	0.71
1634	0.563
1635	1.527
1636	0.478
1637	0.31
1638	0.54
1639	0.135
1640	1.503
1641	1.767
1642	1.551
1643	0.763
1644	0.786
1645	0.548
1646	0.942
1647	0.369
1648	0.563
1649	1.679
1650	1.12
1651	1.405
1652	0.64
1653	0.494
1654	0.147
1655	0.262
1656	2.238
1657	0.556
1658	0.33
1659	0.416
1660	2.059
1661	1.224
1662	0.698
1663	0.472
1664	1.269
1665	0.857
1666	0.389
1667	0.304
1668	0.864
1669	0.307
1670	0.264
1671	1.157
1672	1.403
1673	0.364
1674	0.861
1675	0.613
1676	0.454
1677	1.263
1678	1.331
1679	1.228
1680	1.051
1681	0.456
1682	0.836
1683	0.736
1684	0.616
1685	1.077
1686	0.399
1687	0.789
1688	0.701
1689	0.776
1690	0.614
1691	0.316
1692	0.951
1693	1.277
1694	0.975
1695	0.977
1696	1.587
1697	1.614
1698	0.566
1699	1.396
1700	1.131
1701	0.7
1702	1.059
1703	0.733
1704	1.438
1705	1.153
1706	0.734
1707	0.926
1708	0.96
1709	1.479
1710	0.506
1711	1.001
1712	0.973
1713	0.898
1714	0.826
1715	0.888
1716	0.707
1717	1.238
1718	0.963
1719	0.586
1720	1.442
1721	0.37
1722	1.063
1723	1.755
1724	1.093
1725	1.608
1726	0.574
1727	1.261
1728	0.989
1729	0.35
1730	2.35
1731	1.397
1732	1.279
1733	0.512
1734	1.613
1735	0.71
1736	0.494
1737	0.838
1738	1.949
1739	1.613
1740	1.426
1741	0.994
1742	1.066
1743	1.293
1744	1.321
1745	1.217
1746	0.995
1747	1.239
1748	0.641
1749	0.805
1750	0.838
1751	0.797
1752	1.195
1753	1.383
1754	0.877
1755	0.489
1756	0.516
1757	0.827
1758	0.951
1759	1.336
1760	1.041
1761	1.133
1762	1.108
1763	1.536
1764	1.18
1765	0.348
1766	1.089
1767	1.209
1768	1.033
1769	1.149
1770	0.465
1771	0.862
1772	0.815
1773	0.757
1774	1.202
1775	0.844
1776	0.337
1777	0.25
1778	0.787
1779	1.155
1780	0.766
1781	1.057
1782	0.269
1783	0.308
1784	1.604
1785	1.257
1786	1.094
1787	1.595
1788	0.606
1789	1.559
1790	1.581
1791	0.932
1792	1.495
1793	1.161
1794	0.557
1795	0.294
1796	0.487
1797	0.945
1798	0.858
1799	0.959
1800	0.59
1801	1.157
1802	1.007
1803	0.73
1804	1.13
1805	0.684
1806	1.142
1807	0.676
1808	0.674
1809	0.353
1810	1.073
1811	0.999
1812	0.67
1813	1.448
1814	1.085
1815	0.97
1816	0.943
1817	1.066
1818	0.623
1819	1.291
1820	0.981
1821	1.304
1822	0.688
1823	1.022
1824	0.866
1825	1.541
1826	1.325
1827	0.82
1828	1.406
1829	0.37
1830	1.291
1831	0.987
1832	1.429
1833	1.203
1834	0.69
1835	0.995
1836	0.882
1837	1.002
1838	1.431
1839	0.882
1840	0.836
1841	0.256
1842	1.31
1843	0.243
1844	0.334
1845	0.979
1846	0.422
1847	1.485
1848	0.909
1849	1.194
1850	1.41
1851	0.685
1852	1.13
1853	1.135
1854	1.159
1855	0.769
1856	0.617
1857	0.879
1858	0.461
1859	0.689
1860	1.076
1861	1.152
1862	1.674
1863	0.717
1864	0.266
1865	1.233
1866	1.472
1867	1.445
1868	1.812
1869	0.924
1870	0.372
1871	0.467
1872	1.021
1873	1.009
1874	1.194
1875	0.912
1876	1.259
1877	0.362
1878	1.494
1879	0.815
1880	1.093
1881	1.316
1882	0.799
1883	0.785
1884	1.259
1885	0.718
1886	1.286
1887	0.863
1888	1.171
1889	1.167
1890	1.453
1891	1.052
1892	0.683
1893	1.268
1894	0.913
1895	0.956
1896	0.759
1897	1.042
1898	0.34
1899	0.821
1900	0.774
1901	1.047
1902	0.915
1903	1.065
1904	1.028
1905	1.088
1906	1.184
1907	1.338
1908	0.783
1909	0.865
1910	0.993
1911	1.015
1912	0.387
1913	0.319
1914	1.549
1915	1.497
1916	1.171
1917	1.304
1918	0.732
1919	0.879
1920	0.779
1921	1.043
1922	1.346
1923	1.064
1924	0.234
1925	1.245
1926	0.908
1927	1.093
1928	1.035
1929	0.753
1930	0.636
1931	0.375
1932	1.55
1933	0.88
1934	0.45
1935	1.52
1936	1.526
1937	1.41
1938	1.308
1939	0.46
1940	1.448
1941	1.867
1942	1.445
1943	1.096
1944	1.033
1945	0.938
1946	0.734
1947	0.659
1948	0.492
1949	0.691
1950	0.781
1951	1.252
1952	1.553
1953	1.044
1954	0.798
1955	0.845
1956	1.305
1957	1.12
1958	1.124
1959	0.756
1960	0.788
1961	0.428
1962	0.934
1963	1.375
1964	0.441
1965	0.967
1966	0.869
1967	0.856
1968	0.403
1969	1.177
1970	1.002
1971	0.921
1972	0.348
1973	1.168
1974	1.434
1975	1.086
1976	0.235
1977	0.289
1978	1.793
1979	1.198
1980	1.37
1981	1.02
1982	1.203
1983	1.211
1984	0.911
1985	0.76
1986	1
1987	0.507
1988	0.493
1989	0.548
1990	0.449
1991	1.164
1992	1.194
1993	1.892
1994	0.894
1995	1.3
1996	1.157
1997	1.175
1998	1.606
1999	0.998
2000	0.808
2001	0.596
2002	0.673
2003	1.316