# northamerica_usa_mo001 - Current River Natural Area - 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/3153
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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_mo001 - Current River Natural Area - 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: Current River Natural Area
#	Location:
#	Country: United States
#	Northernmost_Latitude: 37.27
#	Southernmost_Latitude: 37.27
#	Easternmost_Longitude: -91.27
#	Westernmost_Longitude: -91.27
#	Elevation: 275 m
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# Data_Collection
#	Collection_Name: northamerica_usa_mo001B
#	Earliest_Year: 1732
#	Most_Recent_Year: 1981
#	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":"5.01753926251","T2":"17.5737044516","M1":"0.0229097908394","M2":"0.555643594942"}}
#--------------------
# Species
#	Species_Name: white oak
#	Species_Code: QUAL
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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
1732	1.606
1733	1.46
1734	1.708
1735	0.93
1736	0.581
1737	0.852
1738	0.916
1739	1.236
1740	1.32
1741	0.728
1742	0.996
1743	0.918
1744	1.025
1745	0.33
1746	0.37
1747	0.81
1748	0.813
1749	0.883
1750	0.786
1751	0.359
1752	0.593
1753	0.614
1754	0.644
1755	0.777
1756	0.678
1757	0.902
1758	0.881
1759	1.154
1760	0.441
1761	0.743
1762	0.585
1763	0.796
1764	0.817
1765	0.838
1766	0.953
1767	0.811
1768	1.205
1769	1.234
1770	1.236
1771	1.043
1772	0.887
1773	0.871
1774	0.277
1775	0.804
1776	1.059
1777	0.852
1778	1.223
1779	0.774
1780	1.075
1781	0.673
1782	0.827
1783	1.221
1784	0.985
1785	0.983
1786	0.97
1787	1.056
1788	1.305
1789	0.625
1790	0.86
1791	1.294
1792	0.99
1793	1.274
1794	1.196
1795	1.246
1796	1.309
1797	1.399
1798	1.267
1799	1.011
1800	1.198
1801	0.909
1802	1.349
1803	1.061
1804	1.069
1805	1.126
1806	1.245
1807	1.206
1808	0.906
1809	1.053
1810	1.253
1811	1.135
1812	1.028
1813	0.596
1814	0.859
1815	0.81
1816	0.814
1817	1.285
1818	0.917
1819	1.156
1820	0.983
1821	1.03
1822	0.955
1823	0.959
1824	1.079
1825	1.047
1826	1.117
1827	1.248
1828	1.203
1829	0.919
1830	1.255
1831	1.209
1832	1.22
1833	1.098
1834	1.046
1835	0.946
1836	1.023
1837	1.133
1838	0.771
1839	0.795
1840	1.045
1841	0.859
1842	1.178
1843	0.786
1844	1.171
1845	0.944
1846	0.903
1847	0.855
1848	0.835
1849	0.68
1850	0.913
1851	0.661
1852	0.663
1853	0.8
1854	0.887
1855	0.677
1856	0.831
1857	0.773
1858	0.674
1859	0.625
1860	0.808
1861	0.84
1862	0.944
1863	1.052
1864	0.981
1865	1.032
1866	1.12
1867	0.938
1868	0.867
1869	0.976
1870	0.629
1871	0.912
1872	0.928
1873	0.727
1874	0.72
1875	0.963
1876	1.216
1877	0.999
1878	1.356
1879	1.016
1880	1.163
1881	0.824
1882	1.412
1883	1.3
1884	0.787
1885	0.959
1886	1.017
1887	0.938
1888	1.007
1889	1.347
1890	0.947
1891	1.076
1892	1.192
1893	1.022
1894	1.021
1895	0.886
1896	0.984
1897	1.198
1898	1.019
1899	0.843
1900	0.713
1901	0.74
1902	0.843
1903	0.797
1904	1.104
1905	1.024
1906	1.002
1907	0.765
1908	1.126
1909	1.145
1910	1.271
1911	0.673
1912	1.169
1913	0.729
1914	0.746
1915	1.179
1916	1.216
1917	1.096
1918	0.832
1919	0.98
1920	0.993
1921	0.831
1922	1.112
1923	1.124
1924	1.269
1925	0.915
1926	0.913
1927	0.799
1928	1.386
1929	1.077
1930	0.889
1931	1.128
1932	0.867
1933	0.884
1934	0.835
1935	1.108
1936	0.887
1937	1.02
1938	1.001
1939	0.977
1940	0.866
1941	0.866
1942	1.075
1943	0.734
1944	0.767
1945	1.249
1946	0.965
1947	1.073
1948	1.269
1949	1.138
1950	1.041
1951	1.318
1952	0.879
1953	0.824
1954	0.628
1955	1.178
1956	0.941
1957	1.35
1958	1.227
1959	1.005
1960	1.054
1961	0.989
1962	1.355
1963	0.661
1964	0.905
1965	0.9
1966	1.084
1967	0.936
1968	0.984
1969	0.979
1970	0.978
1971	1.11
1972	1.24
1973	1.2
1974	1.141
1975	0.887
1976	0.624
1977	1.037
1978	0.852
1979	0.885
1980	0.779
1981	1.003