# northamerica_usa_va022 - Chickahominy River - 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/4829
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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
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# Title
#	Study_Name: northamerica_usa_va022 - Chickahominy River - 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: Chickahominy River
#	Location:
#	Country: United States
#	Northernmost_Latitude: 37.38
#	Southernmost_Latitude: 37.38
#	Easternmost_Longitude: -76.93
#	Westernmost_Longitude: -76.93
#	Elevation: 8 m
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# Data_Collection
#	Collection_Name: northamerica_usa_va022B
#	Earliest_Year: 1809
#	Most_Recent_Year: 1984
#	Time_Unit: y_ad
#	Core_Length:
#	Notes: {"database":{"database1":"LMR","database2":"Breits"}} {"climateInterpretation":{"basis":"", "climateVariable":"T", "climateVariableDetail":"air", "interpDirection":"positive", "seasonality":"[6, 7, 8]"}}{"VSLite_parameters":{"T1":"2.96912881818","T2":"19.2117853975","M1":"0.0223486852207","M2":"0.27472278685"}}
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# Species
#	Species_Name: baldcypress
#	Species_Code: TADI
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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
1809	1.436
1810	1.047
1811	1.071
1812	0.619
1813	0.884
1814	0.568
1815	1.006
1816	0.701
1817	0.989
1818	0.755
1819	1.153
1820	0.882
1821	0.825
1822	0.405
1823	0.925
1824	0.928
1825	0.42
1826	1.071
1827	0.532
1828	0.998
1829	0.601
1830	0.841
1831	0.608
1832	1.225
1833	1.328
1834	0.657
1835	1.109
1836	1.02
1837	0.872
1838	0.992
1839	0.843
1840	1.001
1841	0.866
1842	0.912
1843	0.987
1844	0.573
1845	0.701
1846	0.634
1847	0.97
1848	0.608
1849	1.021
1850	0.599
1851	0.924
1852	0.676
1853	1.273
1854	0.975
1855	1.291
1856	0.53
1857	0.886
1858	0.751
1859	0.964
1860	1.062
1861	0.792
1862	0.843
1863	1.678
1864	0.844
1865	0.311
1866	0.729
1867	0.63
1868	0.835
1869	0.724
1870	1.133
1871	0.703
1872	1.012
1873	0.75
1874	0.938
1875	0.331
1876	0.836
1877	0.923
1878	0.755
1879	0.782
1880	0.87
1881	1.168
1882	1.22
1883	1.39
1884	1.261
1885	0.734
1886	1.772
1887	1.109
1888	1.375
1889	0.852
1890	1.086
1891	0.657
1892	0.997
1893	1.012
1894	1.387
1895	0.934
1896	1.663
1897	1.091
1898	1.49
1899	1.416
1900	1.207
1901	0.7
1902	1.116
1903	1.183
1904	0.855
1905	1.019
1906	1.284
1907	0.864
1908	1.001
1909	0.834
1910	0.801
1911	0.965
1912	0.626
1913	1.131
1914	1.331
1915	0.632
1916	1.19
1917	0.743
1918	0.943
1919	0.891
1920	0.826
1921	0.762
1922	0.709
1923	0.967
1924	0.631
1925	0.973
1926	0.684
1927	1.571
1928	0.592
1929	1.327
1930	0.964
1931	1.104
1932	1.338
1933	1.149
1934	0.765
1935	0.327
1936	0.892
1937	1.126
1938	0.908
1939	1.38
1940	0.799
1941	1.159
1942	0.783
1943	0.884
1944	0.574
1945	1.018
1946	1.045
1947	1.315
1948	0.569
1949	1.337
1950	1.195
1951	0.781
1952	1.138
1953	1.065
1954	0.743
1955	1.368
1956	0.604
1957	1.221
1958	0.812
1959	1.068
1960	1.068
1961	0.499
1962	1.269
1963	0.761
1964	0.968
1965	0.777
1966	1.125
1967	1.433
1968	0.461
1969	1.411
1970	0.644
1971	1.07
1972	1.176
1973	1.001
1974	1.313
1975	0.673
1976	1.342
1977	0.271
1978	1.516
1979	0.563
1980	0.695
1981	0.577
1982	0.913
1983	0.998
1984	0.815