# northamerica_usa_ca618 - Feather River Lake Oroville - 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/4853
#
# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: northamerica_usa_ca618 - Feather River Lake Oroville - 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: Feather River Lake Oroville
#	Location:
#	Country: United States
#	Northernmost_Latitude: 39.52
#	Southernmost_Latitude: 39.52
#	Easternmost_Longitude: -121.43
#	Westernmost_Longitude: -121.43
#	Elevation: 305 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_ca618B
#	Earliest_Year: 1637
#	Most_Recent_Year: 2004
#	Time_Unit: y_ad
#	Core_Length:
#	Notes: {"database":{"database1":"LMR","database2":"Breits"}} {"climateInterpretation":{"basis":"", "climateVariable":"T", "climateVariableDetail":"air", "interpDirection":"positive", "seasonality":"[6, 7, 8]"}}{"VSLite_parameters":{"T1":"3.46041852898","T2":"16.7121872905","M1":"0.022697991121","M2":"0.544949871052"}}
#--------------------
# 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
1637	0.96
1638	1.095
1639	0.451
1640	1.171
1641	1.733
1642	0.904
1643	0.834
1644	0.852
1645	0.602
1646	0.921
1647	0.676
1648	0.486
1649	0.669
1650	0.609
1651	0.648
1652	0.569
1653	0.613
1654	0.618
1655	0.936
1656	1.007
1657	1.041
1658	0.98
1659	1.263
1660	0.963
1661	1.033
1662	1.086
1663	1.116
1664	1.104
1665	1.134
1666	1.147
1667	0.951
1668	1.429
1669	1.071
1670	1.138
1671	1.305
1672	1.014
1673	0.969
1674	1.112
1675	1.12
1676	0.921
1677	0.737
1678	0.931
1679	0.953
1680	0.737
1681	0.703
1682	0.664
1683	0.533
1684	0.666
1685	0.963
1686	0.862
1687	0.847
1688	0.752
1689	0.905
1690	0.954
1691	1.023
1692	0.865
1693	0.637
1694	0.689
1695	0.649
1696	0.942
1697	0.902
1698	0.814
1699	0.731
1700	1.221
1701	0.89
1702	1.138
1703	0.954
1704	1.235
1705	0.758
1706	0.955
1707	1.158
1708	0.844
1709	0.894
1710	0.697
1711	1.047
1712	1.034
1713	0.78
1714	0.982
1715	0.895
1716	1.043
1717	0.73
1718	0.825
1719	0.886
1720	1.112
1721	1.119
1722	1.098
1723	1.119
1724	0.897
1725	1.195
1726	0.98
1727	1.442
1728	0.958
1729	0.64
1730	1.31
1731	1.003
1732	0.858
1733	0.533
1734	0.71
1735	0.597
1736	0.721
1737	0.923
1738	1.167
1739	1.277
1740	1.416
1741	0.727
1742	0.83
1743	0.686
1744	1.149
1745	0.955
1746	1.457
1747	1.162
1748	1.072
1749	1.037
1750	1.066
1751	0.973
1752	0.93
1753	0.936
1754	0.979
1755	1.149
1756	0.913
1757	0.941
1758	1.198
1759	1.556
1760	1.471
1761	1.26
1762	1.045
1763	1.026
1764	0.941
1765	0.991
1766	1.023
1767	1.152
1768	0.9
1769	1.257
1770	0.986
1771	0.734
1772	0.719
1773	1.07
1774	0.633
1775	0.563
1776	0.576
1777	0.598
1778	1.151
1779	0.95
1780	1.117
1781	1.017
1782	0.832
1783	0.932
1784	1.025
1785	0.944
1786	1.074
1787	1.349
1788	0.918
1789	1.212
1790	1.239
1791	0.994
1792	1.014
1793	0.897
1794	0.652
1795	0.776
1796	0.981
1797	1.13
1798	0.904
1799	0.902
1800	0.647
1801	0.859
1802	0.732
1803	0.732
1804	0.785
1805	0.759
1806	0.745
1807	0.619
1808	0.647
1809	0.752
1810	0.789
1811	0.681
1812	0.686
1813	0.811
1814	0.969
1815	0.766
1816	0.761
1817	0.791
1818	0.765
1819	0.763
1820	0.966
1821	0.864
1822	0.968
1823	1.16
1824	0.991
1825	0.95
1826	1.2
1827	0.837
1828	1.032
1829	0.853
1830	1.141
1831	0.873
1832	0.929
1833	1.008
1834	0.876
1835	0.892
1836	1.219
1837	0.798
1838	1.065
1839	0.872
1840	0.71
1841	0.628
1842	0.828
1843	0.868
1844	0.861
1845	1.278
1846	1.069
1847	1.078
1848	1.093
1849	0.756
1850	0.893
1851	1.051
1852	0.85
1853	0.842
1854	1.338
1855	1.031
1856	1.235
1857	1.138
1858	1.171
1859	1.191
1860	1.625
1861	1.267
1862	1.475
1863	1.495
1864	1.121
1865	1.018
1866	1.475
1867	0.923
1868	1.446
1869	1.235
1870	0.969
1871	1.131
1872	1.049
1873	1.019
1874	1.139
1875	0.811
1876	0.856
1877	0.737
1878	1.035
1879	1.181
1880	1.048
1881	0.94
1882	1.155
1883	1.171
1884	1.302
1885	0.804
1886	0.987
1887	0.854
1888	0.893
1889	1.451
1890	1.26
1891	1.094
1892	1.026
1893	0.766
1894	1.147
1895	0.777
1896	0.527
1897	0.446
1898	0.704
1899	0.82
1900	0.951
1901	1.103
1902	1.05
1903	0.719
1904	0.965
1905	1.14
1906	1.1
1907	1.035
1908	0.847
1909	0.661
1910	0.891
1911	1.102
1912	0.963
1913	0.962
1914	0.898
1915	1.093
1916	0.673
1917	1.0
1918	0.755
1919	0.798
1920	0.905
1921	1.036
1922	0.856
1923	0.949
1924	0.732
1925	1.012
1926	1.227
1927	0.827
1928	0.988
1929	0.862
1930	1.191
1931	0.965
1932	1.273
1933	1.08
1934	1.016
1935	1.096
1936	1.455
1937	1.023
1938	1.159
1939	1.061
1940	1.183
1941	1.475
1942	1.545
1943	1.123
1944	1.212
1945	1.067
1946	0.822
1947	1.026
1948	1.116
1949	0.873
1950	0.966
1951	0.981
1952	1.118
1953	1.538
1954	1.097
1955	1.043
1956	1.062
1957	1.22
1958	0.958
1959	0.792
1960	0.978
1961	0.875
1962	0.774
1963	0.634
1964	0.57
1965	0.77
1966	0.763
1967	0.745
1968	0.753
1969	0.932
1970	0.951
1971	1.046
1972	1.024
1973	0.903
1974	1.007
1975	0.847
1976	0.801
1977	0.54
1978	1.056
1979	1.132
1980	0.844
1981	0.845
1982	0.778
1983	0.876
1984	0.867
1985	0.759
1986	0.913
1987	0.626
1988	0.978
1989	0.908
1990	0.947
1991	1.087
1992	0.941
1993	1.322
1994	0.979
1995	1.345
1996	1.307
1997	0.87
1998	1.317
1999	1.021
2000	0.849
2001	0.97
2002	0.901
2003	1.007
2004	0.878