# northamerica_usa_ca654 - Dye Creek Preserve - 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/8551
#
# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: northamerica_usa_ca654 - Dye Creek Preserve - 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: Dye Creek Preserve
#	Location:
#	Country: United States
#	Northernmost_Latitude: 40.15
#	Southernmost_Latitude: 40.15
#	Easternmost_Longitude: -122.05
#	Westernmost_Longitude: -122.05
#	Elevation: 143 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_ca654B
#	Earliest_Year: 1618
#	Most_Recent_Year: 2005
#	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":"4.67337515753","T2":"15.5503691915","M1":"0.0226431446643","M2":"0.493248627327"}}
#--------------------
# 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
1618	0.677
1619	1.138
1620	0.914
1621	0.86
1622	0.669
1623	0.825
1624	0.971
1625	1.239
1626	0.925
1627	0.97
1628	0.796
1629	0.897
1630	1.099
1631	1.042
1632	0.823
1633	1.431
1634	1.041
1635	1.103
1636	0.617
1637	0.973
1638	1.401
1639	0.344
1640	0.999
1641	1.467
1642	1.381
1643	1.232
1644	1.115
1645	0.832
1646	0.903
1647	0.718
1648	0.793
1649	1.099
1650	1.067
1651	1.176
1652	0.823
1653	0.959
1654	1.007
1655	1.212
1656	1.152
1657	0.929
1658	0.872
1659	0.949
1660	1.024
1661	1.017
1662	1.069
1663	1.448
1664	1.076
1665	0.955
1666	0.98
1667	0.527
1668	0.96
1669	0.876
1670	0.741
1671	1.224
1672	1.227
1673	1.109
1674	1.077
1675	0.821
1676	0.863
1677	0.858
1678	1.127
1679	1.132
1680	0.995
1681	1.413
1682	1.239
1683	0.615
1684	0.927
1685	0.99
1686	0.86
1687	0.932
1688	0.723
1689	0.79
1690	0.749
1691	0.822
1692	0.742
1693	0.729
1694	0.869
1695	0.912
1696	1.225
1697	0.981
1698	1.162
1699	1.014
1700	0.74
1701	0.674
1702	1.447
1703	0.929
1704	1.388
1705	0.801
1706	0.925
1707	1.036
1708	0.938
1709	0.838
1710	0.88
1711	1.015
1712	0.786
1713	0.786
1714	0.724
1715	1.067
1716	1.195
1717	0.825
1718	0.931
1719	0.882
1720	0.895
1721	1.173
1722	1.045
1723	1.012
1724	1.001
1725	1.229
1726	0.883
1727	1.271
1728	0.704
1729	0.607
1730	1.106
1731	0.93
1732	0.916
1733	0.555
1734	0.93
1735	0.727
1736	0.955
1737	1.016
1738	1.358
1739	1.189
1740	1.473
1741	0.894
1742	0.877
1743	0.812
1744	0.927
1745	0.849
1746	1.093
1747	0.949
1748	0.953
1749	1.023
1750	1.54
1751	1.34
1752	0.98
1753	1.217
1754	0.818
1755	1.086
1756	0.857
1757	0.859
1758	1.287
1759	1.52
1760	1.34
1761	1.387
1762	0.966
1763	1.015
1764	0.916
1765	1.001
1766	1.149
1767	1.237
1768	0.992
1769	1.328
1770	1.056
1771	0.868
1772	0.9
1773	1.111
1774	0.883
1775	0.886
1776	0.838
1777	0.934
1778	1.32
1779	0.98
1780	1.084
1781	0.771
1782	0.6
1783	0.852
1784	1.111
1785	0.945
1786	0.94
1787	1.162
1788	0.813
1789	1.17
1790	1.25
1791	0.988
1792	1.09
1793	0.811
1794	0.615
1795	0.776
1796	0.812
1797	0.973
1798	1.013
1799	1.046
1800	0.635
1801	1.013
1802	0.986
1803	1.024
1804	0.927
1805	0.73
1806	0.754
1807	0.711
1808	0.792
1809	0.79
1810	0.935
1811	0.896
1812	0.733
1813	0.84
1814	1.157
1815	0.958
1816	1.008
1817	1.021
1818	0.94
1819	1.153
1820	1.019
1821	1.015
1822	1.268
1823	1.08
1824	0.878
1825	0.998
1826	1.312
1827	0.998
1828	0.992
1829	0.458
1830	1.039
1831	0.962
1832	0.953
1833	1.202
1834	0.958
1835	0.947
1836	1.75
1837	1.202
1838	1.317
1839	1.081
1840	0.917
1841	0.801
1842	0.94
1843	0.929
1844	0.813
1845	1.019
1846	1.246
1847	1.169
1848	1.318
1849	0.866
1850	0.86
1851	1.186
1852	0.972
1853	0.904
1854	1.258
1855	1.087
1856	1.204
1857	0.868
1858	0.952
1859	0.905
1860	1.03
1861	0.942
1862	1.172
1863	0.902
1864	0.581
1865	0.577
1866	1.006
1867	0.69
1868	1.011
1869	0.786
1870	0.811
1871	0.946
1872	0.786
1873	0.887
1874	0.918
1875	0.655
1876	0.892
1877	1.13
1878	1.438
1879	1.317
1880	1.084
1881	0.841
1882	1.041
1883	0.808
1884	1.011
1885	0.787
1886	1.026
1887	0.884
1888	0.895
1889	1.16
1890	1.106
1891	0.936
1892	1.246
1893	0.867
1894	0.91
1895	1.047
1896	1.323
1897	0.711
1898	0.817
1899	0.99
1900	1.103
1901	1.071
1902	1.07
1903	0.724
1904	0.824
1905	1.095
1906	0.918
1907	1.029
1908	1.131
1909	0.733
1910	0.975
1911	1.071
1912	0.874
1913	1.23
1914	0.914
1915	1.304
1916	0.822
1917	1.287
1918	0.858
1919	0.875
1920	0.872
1921	0.899
1922	0.759
1923	0.995
1924	0.864
1925	0.996
1926	1.129
1927	0.853
1928	0.841
1929	0.729
1930	1.073
1931	0.808
1932	1.049
1933	1.085
1934	0.751
1935	1.095
1936	1.089
1937	1.077
1938	1.202
1939	0.769
1940	1.054
1941	1.224
1942	1.473
1943	1.084
1944	0.998
1945	0.901
1946	0.815
1947	0.965
1948	1.187
1949	0.878
1950	0.815
1951	0.948
1952	0.976
1953	1.283
1954	0.924
1955	1.14
1956	1.064
1957	1.342
1958	0.973
1959	0.783
1960	0.998
1961	0.882
1962	0.8
1963	0.96
1964	0.659
1965	0.971
1966	0.763
1967	0.756
1968	0.892
1969	1.291
1970	0.895
1971	0.944
1972	0.931
1973	0.954
1974	0.892
1975	0.736
1976	0.77
1977	0.873
1978	1.149
1979	1.083
1980	1.127
1981	1.163
1982	0.887
1983	1.397
1984	1.094
1985	0.785
1986	0.983
1987	0.694
1988	0.809
1989	0.938
1990	1.128
1991	0.987
1992	0.738
1993	1.018
1994	1.224
1995	1.377
1996	1.193
1997	0.964
1998	1.333
1999	0.849
2000	0.988
2001	0.839
2002	0.793
2003	1.158
2004	0.813
2005	1.361