# northamerica_usa_ok032 - French Lake - 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/6174
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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_ok032 - French Lake - 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.
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# 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
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# Site_Information
#	Site_Name: French Lake
#	Location:
#	Country: United States
#	Northernmost_Latitude: 34.72
#	Southernmost_Latitude: 34.72
#	Easternmost_Longitude: -98.7
#	Westernmost_Longitude: -98.7
#	Elevation: 494 m
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# Data_Collection
#	Collection_Name: northamerica_usa_ok032B
#	Earliest_Year: 1750
#	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":"5.08953685426","T2":"17.680751873","M1":"0.0225594739817","M2":"0.418725107471"}}
#--------------------
# Species
#	Species_Name: post oak
#	Species_Code: QUST
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# Chronology:
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# 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
1750	0.724
1751	0.779
1752	0.504
1753	0.967
1754	1.083
1755	0.532
1756	0.666
1757	0.929
1758	1.435
1759	1.16
1760	1.391
1761	1.317
1762	1.081
1763	0.744
1764	0.93
1765	0.791
1766	0.817
1767	0.602
1768	0.776
1769	1.136
1770	1.054
1771	0.841
1772	0.409
1773	0.463
1774	1.146
1775	1.172
1776	1.562
1777	0.764
1778	0.734
1779	1.141
1780	0.973
1781	1.372
1782	1.187
1783	1.71
1784	1.17
1785	1.093
1786	0.742
1787	1.221
1788	1.434
1789	0.54
1790	0.704
1791	0.935
1792	0.92
1793	0.847
1794	0.651
1795	1.159
1796	0.966
1797	1.1
1798	1.023
1799	1.19
1800	0.788
1801	0.388
1802	1.151
1803	1.296
1804	1.382
1805	0.697
1806	0.937
1807	0.968
1808	0.323
1809	1.396
1810	1.354
1811	0.96
1812	0.646
1813	0.946
1814	0.95
1815	0.868
1816	0.892
1817	1.363
1818	1.121
1819	0.942
1820	0.722
1821	0.737
1822	0.594
1823	0.775
1824	0.596
1825	1.618
1826	1.655
1827	1.728
1828	1.351
1829	1.238
1830	1.252
1831	0.908
1832	0.571
1833	1.868
1834	0.782
1835	1.031
1836	1.776
1837	1.69
1838	1.277
1839	1.214
1840	1.259
1841	0.812
1842	0.565
1843	1.203
1844	1.345
1845	0.897
1846	1.188
1847	0.919
1848	0.775
1849	1.113
1850	1.11
1851	0.772
1852	0.869
1853	1.3
1854	1.208
1855	0.587
1856	0.685
1857	0.764
1858	1.009
1859	0.446
1860	0.541
1861	0.492
1862	0.364
1863	0.549
1864	0.547
1865	0.667
1866	0.994
1867	1.003
1868	0.511
1869	1.035
1870	0.657
1871	1.015
1872	0.761
1873	0.703
1874	0.77
1875	0.914
1876	0.844
1877	1.002
1878	1.092
1879	0.817
1880	0.42
1881	0.701
1882	0.683
1883	0.604
1884	0.775
1885	1.12
1886	0.58
1887	0.53
1888	1.0
1889	0.99
1890	0.628
1891	1.15
1892	0.788
1893	0.611
1894	0.848
1895	0.419
1896	0.692
1897	1.051
1898	0.848
1899	0.992
1900	0.966
1901	0.893
1902	0.959
1903	1.006
1904	0.474
1905	1.133
1906	1.153
1907	1.619
1908	1.473
1909	0.987
1910	0.782
1911	0.445
1912	1.367
1913	0.792
1914	1.117
1915	0.779
1916	1.014
1917	0.503
1918	0.409
1919	1.288
1920	1.552
1921	1.601
1922	1.269
1923	1.083
1924	0.979
1925	0.648
1926	1.213
1927	1.298
1928	1.026
1929	0.901
1930	0.673
1931	0.835
1932	1.322
1933	1.0
1934	0.776
1935	0.873
1936	0.703
1937	0.82
1938	0.869
1939	0.46
1940	0.626
1941	1.265
1942	1.059
1943	1.329
1944	1.278
1945	1.4
1946	1.495
1947	1.143
1948	1.038
1949	0.957
1950	1.072
1951	1.174
1952	0.663
1953	0.577
1954	0.912
1955	0.955
1956	0.642
1957	0.962
1958	1.003
1959	0.876
1960	1.31
1961	1.342
1962	1.271
1963	0.73
1964	0.878
1965	1.343
1966	0.596
1967	0.792
1968	1.571
1969	1.11
1970	0.781
1971	0.423
1972	0.992
1973	1.248
1974	1.195
1975	1.726
1976	1.141
1977	0.87
1978	1.045
1979	1.197
1980	0.767
1981	0.803
1982	1.062
1983	0.885
1984	0.656
1985	1.079
1986	1.112
1987	1.56
1988	0.945
1989	1.257
1990	1.012
1991	1.162
1992	1.492
1993	1.544
1994	1.033
1995	1.141
1996	0.704
1997	0.944
1998	0.815
1999	1.185
2000	0.785
2001	0.814
2002	0.88
2003	1.044
2004	0.737
2005	0.805