ÃÂ¯ÃÂ»ÃÂ¿# northamerica_usa_ca663 - Putah Creek, Lake Berryessa - 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
#
# Original_Source_URL:https://www.ncdc.noaa.gov/paleo/study/8563
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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_ca663 - Putah Creek, Lake Berryessa - 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: Putah Creek, Lake Berryessa
#	Location:
#	Country: United States
#	Northernmost_Latitude: 38.67
#	Southernmost_Latitude: 38.67
#	Easternmost_Longitude: -122.45
#	Westernmost_Longitude: -122.45
#	Elevation: 180 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_ca663B
#	Earliest_Year: 1534
#	Most_Recent_Year: 2004
#	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":"4.48776103803","T2":"15.1745603114","M1":"0.022629137572","M2":"0.506353135236"}}
#--------------------
# 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
1534	0.738
1535	0.765
1536	1.004
1537	0.598
1538	0.566
1539	0.783
1540	0.712
1541	0.663
1542	0.838
1543	0.731
1544	0.845
1545	0.905
1546	0.791
1547	0.961
1548	0.532
1549	1.21
1550	1.151
1551	1.528
1552	1.193
1553	1.685
1554	0.405
1555	1.239
1556	1.407
1557	1.367
1558	1.204
1559	1.466
1560	1.264
1561	1.008
1562	1.116
1563	0.906
1564	1.157
1565	1.253
1566	1.031
1567	1.131
1568	1.052
1569	0.975
1570	0.757
1571	0.211
1572	0.709
1573	0.912
1574	0.801
1575	0.689
1576	0.693
1577	0.954
1578	0.716
1579	0.274
1580	0.163
1581	0.734
1582	1.158
1583	1.532
1584	1.185
1585	0.924
1586	1.126
1587	1.227
1588	1.239
1589	1.358
1590	1.076
1591	1.4
1592	0.612
1593	1.027
1594	0.903
1595	0.981
1596	0.998
1597	0.978
1598	0.803
1599	1.203
1600	1.018
1601	1.313
1602	1.222
1603	1.16
1604	1.226
1605	1.207
1606	1.07
1607	0.701
1608	1.107
1609	1.011
1610	1.085
1611	0.841
1612	1.063
1613	0.188
1614	0.766
1615	0.839
1616	0.883
1617	1.161
1618	0.914
1619	1.643
1620	1.217
1621	1.167
1622	0.867
1623	1.279
1624	0.793
1625	1.353
1626	0.978
1627	1.077
1628	1.222
1629	0.629
1630	1.051
1631	0.613
1632	0.948
1633	1.064
1634	0.98
1635	0.914
1636	0.34
1637	1.083
1638	0.897
1639	0.217
1640	1.228
1641	1.489
1642	1.37
1643	1.05
1644	1.204
1645	0.803
1646	0.829
1647	0.845
1648	0.737
1649	0.993
1650	1.232
1651	1.002
1652	1.015
1653	0.973
1654	0.419
1655	1.151
1656	1.488
1657	1.017
1658	1.093
1659	0.952
1660	1.316
1661	1.302
1662	1.179
1663	1.002
1664	1.118
1665	1.055
1666	0.989
1667	0.349
1668	1.028
1669	0.382
1670	0.428
1671	1.214
1672	1.73
1673	0.876
1674	1.287
1675	1.231
1676	0.569
1677	1.091
1678	1.074
1679	1.118
1680	1.154
1681	1.302
1682	1.347
1683	0.936
1684	0.985
1685	1.151
1686	0.906
1687	1.029
1688	0.975
1689	1.072
1690	0.671
1691	0.29
1692	0.915
1693	0.846
1694	0.986
1695	0.696
1696	1.006
1697	0.938
1698	0.613
1699	0.823
1700	0.977
1701	0.845
1702	0.994
1703	0.42
1704	1.218
1705	0.958
1706	0.586
1707	1.311
1708	0.892
1709	1.289
1710	0.594
1711	0.819
1712	0.96
1713	0.871
1714	1.052
1715	0.856
1716	1.054
1717	1.083
1718	1.017
1719	0.643
1720	0.762
1721	0.763
1722	1.072
1723	1.158
1724	0.808
1725	1.144
1726	0.61
1727	1.091
1728	0.706
1729	0.723
1730	1.538
1731	0.96
1732	1.044
1733	0.273
1734	1.233
1735	0.891
1736	0.859
1737	0.652
1738	1.476
1739	0.971
1740	1.531
1741	1.029
1742	0.985
1743	0.926
1744	0.909
1745	1.075
1746	1.136
1747	0.999
1748	0.601
1749	1.064
1750	0.878
1751	0.96
1752	0.866
1753	0.864
1754	0.882
1755	0.663
1756	0.478
1757	0.969
1758	1.11
1759	1.185
1760	1.119
1761	1.072
1762	0.83
1763	0.962
1764	0.806
1765	0.295
1766	0.94
1767	1.22
1768	0.879
1769	1.451
1770	0.341
1771	0.678
1772	0.477
1773	0.738
1774	0.884
1775	0.693
1776	0.37
1777	0.476
1778	1.018
1779	1.005
1780	0.727
1781	1.063
1782	0.526
1783	0.471
1784	1.603
1785	1.649
1786	1.406
1787	1.205
1788	0.787
1789	1.435
1790	1.475
1791	0.966
1792	1.207
1793	0.863
1794	0.464
1795	0.424
1796	0.386
1797	1.133
1798	1.063
1799	1.336
1800	0.862
1801	1.002
1802	1.104
1803	0.803
1804	0.995
1805	0.844
1806	0.943
1807	0.746
1808	0.723
1809	0.372
1810	1.272
1811	1.215
1812	0.751
1813	1.119
1814	0.966
1815	0.898
1816	0.815
1817	0.809
1818	0.576
1819	0.837
1820	0.788
1821	0.842
1822	0.906
1823	1.106
1824	0.73
1825	1.135
1826	1.033
1827	0.775
1828	0.981
1829	0.198
1830	0.977
1831	0.836
1832	0.945
1833	1.001
1834	0.963
1835	0.923
1836	1.115
1837	0.641
1838	1.003
1839	0.864
1840	0.767
1841	0.434
1842	1.053
1843	0.58
1844	0.418
1845	1.249
1846	1.376
1847	1.22
1848	1.227
1849	1.026
1850	1.576
1851	1.485
1852	1.49
1853	1.592
1854	1.876
1855	1.569
1856	0.988
1857	0.716
1858	0.878
1859	0.935
1860	1.258
1861	1.308
1862	1.377
1863	0.917
1864	0.235
1865	0.913
1866	1.534
1867	1.065
1868	1.648
1869	1.488
1870	0.992
1871	0.609
1872	1.322
1873	0.984
1874	1.192
1875	0.936
1876	1.21
1877	0.882
1878	1.545
1879	1.492
1880	1.188
1881	1.075
1882	0.993
1883	1.193
1884	1.543
1885	0.969
1886	1.497
1887	1.049
1888	0.855
1889	1.557
1890	1.658
1891	1.492
1892	1.322
1893	1.111
1894	1.114
1895	1.308
1896	1.449
1897	0.959
1898	0.63
1899	1.031
1900	1.074
1901	1.496
1902	1.265
1903	0.994
1904	1.157
1905	1.514
1906	1.156
1907	1.404
1908	1.145
1909	0.948
1910	1.272
1911	1.214
1912	0.581
1913	0.754
1914	1.435
1915	1.657
1916	0.991
1917	1.106
1918	0.675
1919	1.004
1920	0.547
1921	1.07
1922	0.866
1923	1.138
1924	0.577
1925	1.282
1926	1.179
1927	0.885
1928	1.099
1929	0.727
1930	1.198
1931	0.635
1932	0.866
1933	0.824
1934	0.994
1935	1.405
1936	1.45
1937	1.019
1938	1.017
1939	0.615
1940	1.104
1941	1.384
1942	1.422
1943	1.065
1944	1.016
1945	0.955
1946	0.722
1947	0.823
1948	0.902
1949	0.725
1950	0.72
1951	0.889
1952	1.272
1953	1.16
1954	0.919
1955	0.701
1956	0.967
1957	0.945
1958	1.087
1959	0.769
1960	0.837
1961	0.803
1962	0.776
1963	1.417
1964	0.765
1965	0.804
1966	0.86
1967	0.934
1968	0.919
1969	0.959
1970	1.064
1971	0.898
1972	0.575
1973	0.82
1974	1.113
1975	0.95
1976	0.159
1977	0.255
1978	0.931
1979	1.111
1980	0.988
1981	0.894
1982	0.976
1983	1.296
1984	1.052
1985	0.822
1986	0.862
1987	0.614
1988	0.679
1989	0.615
1990	0.661
1991	0.945
1992	0.805
1993	0.958
1994	0.658
1995	0.993
1996	1.193
1997	0.923
1998	1.362
1999	1.054
2000	1.03
2001	0.889
2002	0.804
2003	1.075
2004	1.022