# northamerica_usa_mo2 - Rymers Ranch - Breitenmoser Tree Ring Chronology Data
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#		World Data Center for Paleoclimatology, Boulder
#				and
#		NOAA Paleoclimatology Program
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# 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/3452
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# Description/Documentation lines begin with #
# Data lines have no #
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# Archive: Tree Rings
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# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: northamerica_usa_mo2 - Rymers Ranch - Breitenmoser Tree Ring Chronology Data
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# 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.
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#	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: Rymers Ranch
#	Location:
#	Country: United States
#	Northernmost_Latitude: 37.12
#	Southernmost_Latitude: 37.12
#	Easternmost_Longitude: -91.48
#	Westernmost_Longitude: -91.48
#	Elevation: 0 m
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# Data_Collection
#	Collection_Name: northamerica_usa_mo2B
#	Earliest_Year: 1813
#	Most_Recent_Year: 1991
#	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":"4.66825625665","T2":"16.0951126011","M1":"0.0224375808981","M2":"0.540012927007"}}
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# Species
#	Species_Name: eastern red cedar
#	Species_Code: JUVI
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# Chronology:
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# Variables
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# 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)
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##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
1813	1.188
1814	0.851
1815	1.041
1816	1.013
1817	1.127
1818	0.611
1819	0.978
1820	0.574
1821	0.754
1822	0.937
1823	0.678
1824	1.02
1825	1.25
1826	0.715
1827	1.53
1828	0.95
1829	0.943
1830	0.755
1831	0.896
1832	0.738
1833	0.908
1834	0.897
1835	0.982
1836	0.739
1837	0.795
1838	0.905
1839	0.675
1840	0.918
1841	0.866
1842	1.016
1843	0.791
1844	0.948
1845	1.185
1846	1.27
1847	1.242
1848	0.988
1849	1.064
1850	1.081
1851	0.917
1852	0.833
1853	0.567
1854	0.848
1855	0.734
1856	0.781
1857	1.093
1858	1.106
1859	1.039
1860	1.023
1861	1.122
1862	1.289
1863	1.062
1864	0.802
1865	1.196
1866	1.502
1867	1.368
1868	1.29
1869	1.432
1870	1.139
1871	1.325
1872	1.108
1873	0.918
1874	0.937
1875	1.503
1876	2.156
1877	1.768
1878	2.052
1879	1.223
1880	1.435
1881	0.824
1882	1.726
1883	1.501
1884	1.212
1885	1.032
1886	0.774
1887	0.909
1888	0.85
1889	0.994
1890	0.853
1891	0.891
1892	0.864
1893	0.912
1894	0.503
1895	0.235
1896	0.468
1897	0.812
1898	0.542
1899	0.565
1900	0.762
1901	0.671
1902	0.337
1903	1.057
1904	1.116
1905	0.6
1906	0.505
1907	0.903
1908	0.724
1909	0.69
1910	0.61
1911	0.762
1912	0.543
1913	0.549
1914	0.312
1915	0.887
1916	0.864
1917	0.813
1918	0.661
1919	0.737
1920	0.658
1921	1.064
1922	0.803
1923	0.982
1924	1.101
1925	0.944
1926	0.92
1927	0.849
1928	0.923
1929	0.958
1930	0.77
1931	1.095
1932	0.819
1933	0.786
1934	0.655
1935	1.361
1936	0.659
1937	0.839
1938	1.417
1939	1.085
1940	0.757
1941	0.71
1942	1.032
1943	1.036
1944	0.852
1945	1.222
1946	1.264
1947	1.278
1948	0.908
1949	1.036
1950	0.902
1951	1.151
1952	1.074
1953	1.083
1954	1.24
1955	1.103
1956	1.449
1957	1.138
1958	1.021
1959	1.208
1960	0.992
1961	1.184
1962	1.036
1963	0.894
1964	1.004
1965	1.015
1966	1.149
1967	1.065
1968	1.008
1969	1.074
1970	0.982
1971	1.186
1972	0.874
1973	0.696
1974	1.05
1975	1.086
1976	1.452
1977	0.748
1978	0.915
1979	0.896
1980	0.909
1981	1.115
1982	0.846
1983	0.941
1984	0.92
1985	0.766
1986	1.251
1987	1.211
1988	1.501
1989	1.207
1990	0.91
1991	0.773