# northamerica_usa_ar066 - Dry Creek Arkansas - 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/3582
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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_ar066 - Dry Creek Arkansas - 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: Dry Creek Arkansas
#	Location:
#	Country: United States
#	Northernmost_Latitude: 36.07
#	Southernmost_Latitude: 36.07
#	Easternmost_Longitude: -93.25
#	Westernmost_Longitude: -93.25
#	Elevation: 366 m
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# Data_Collection
#	Collection_Name: northamerica_usa_ar066B
#	Earliest_Year: 1744
#	Most_Recent_Year: 1988
#	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":"4.99700200874","T2":"16.8905785324","M1":"0.0226537983063","M2":"0.55170177554"}}
#--------------------
# Species
#	Species_Name: eastern red cedar
#	Species_Code: JUVI
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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
#
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# Data:
# Data lines follow (have no #)
# Data line format - tab-delimited text, variable short name as header
# Missing Values: nan
#
age	trsgi
1744	1.169
1745	1.368
1746	1.446
1747	1.331
1748	0.967
1749	1.011
1750	0.933
1751	1.036
1752	0.985
1753	1.063
1754	1.44
1755	1.675
1756	1.049
1757	1.232
1758	1.542
1759	1.59
1760	1.225
1761	1.381
1762	0.719
1763	0.971
1764	0.88
1765	0.981
1766	1.009
1767	0.535
1768	1.09
1769	1.046
1770	1.122
1771	1.43
1772	0.773
1773	0.781
1774	0.887
1775	1.016
1776	0.987
1777	0.973
1778	1.105
1779	0.84
1780	0.689
1781	0.918
1782	0.64
1783	1.143
1784	0.648
1785	0.861
1786	1.102
1787	1.353
1788	1.113
1789	0.884
1790	1.238
1791	0.884
1792	0.692
1793	1.093
1794	1.035
1795	1.227
1796	1.201
1797	1.204
1798	1.285
1799	0.729
1800	1.011
1801	0.844
1802	1.284
1803	0.905
1804	1.295
1805	1.129
1806	1.05
1807	0.775
1808	1.624
1809	0.892
1810	0.939
1811	1.284
1812	0.77
1813	0.855
1814	0.901
1815	0.813
1816	0.85
1817	1.122
1818	0.74
1819	0.775
1820	0.738
1821	0.666
1822	0.806
1823	0.819
1824	0.817
1825	0.921
1826	0.846
1827	1.16
1828	1.077
1829	1.253
1830	1.282
1831	0.972
1832	0.876
1833	0.911
1834	0.807
1835	0.972
1836	1.137
1837	1.137
1838	0.964
1839	0.921
1840	1.406
1841	1.083
1842	1.157
1843	0.62
1844	0.893
1845	0.967
1846	1.034
1847	1.256
1848	0.921
1849	1.148
1850	1.047
1851	1.024
1852	0.968
1853	0.987
1854	0.847
1855	0.601
1856	0.69
1857	0.871
1858	1.005
1859	0.791
1860	0.787
1861	1.076
1862	0.851
1863	1.072
1864	0.746
1865	0.717
1866	0.834
1867	0.91
1868	0.67
1869	1.192
1870	0.968
1871	0.782
1872	0.797
1873	0.702
1874	0.962
1875	0.97
1876	0.685
1877	0.745
1878	1.258
1879	0.871
1880	0.995
1881	0.882
1882	1.238
1883	1.071
1884	0.942
1885	0.732
1886	0.641
1887	0.881
1888	1.154
1889	1.143
1890	1.34
1891	1.413
1892	1.511
1893	1.525
1894	1.143
1895	1.018
1896	0.773
1897	1.021
1898	0.742
1899	0.778
1900	1.162
1901	0.743
1902	0.903
1903	1.303
1904	1.538
1905	0.97
1906	0.885
1907	1.276
1908	1.035
1909	1.133
1910	0.998
1911	0.804
1912	0.806
1913	0.914
1914	0.798
1915	1.426
1916	0.942
1917	1.136
1918	0.829
1919	1.098
1920	1.09
1921	1.077
1922	0.919
1923	1.144
1924	1.27
1925	0.807
1926	0.858
1927	0.983
1928	1.016
1929	1.091
1930	0.707
1931	1.087
1932	0.915
1933	0.874
1934	0.953
1935	1.323
1936	0.885
1937	0.639
1938	1.241
1939	1.358
1940	1.048
1941	0.868
1942	1.128
1943	1.092
1944	1.02
1945	1.091
1946	1.014
1947	1.016
1948	0.968
1949	1.29
1950	1.173
1951	0.839
1952	0.735
1953	0.815
1954	0.714
1955	0.997
1956	0.998
1957	1.007
1958	1.076
1959	1.312
1960	1.07
1961	0.992
1962	0.828
1963	0.862
1964	0.631
1965	0.891
1966	0.825
1967	0.886
1968	0.88
1969	0.807
1970	0.715
1971	1.146
1972	0.884
1973	0.891
1974	0.873
1975	1.077
1976	1.69
1977	0.715
1978	0.801
1979	0.884
1980	0.813
1981	1.137
1982	1.418
1983	1.065
1984	0.505
1985	0.676
1986	1.067
1987	0.791
1988	0.666