# northamerica_usa_nc1 - Hampton Hills - 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/2677
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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_nc1 - Hampton Hills - 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: Hampton Hills
#	Location:
#	Country: United States
#	Northernmost_Latitude: 35.82
#	Southernmost_Latitude: 35.82
#	Easternmost_Longitude: -78.68
#	Westernmost_Longitude: -78.68
#	Elevation: 108 m
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# Data_Collection
#	Collection_Name: northamerica_usa_nc1B
#	Earliest_Year: 1827
#	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":"6.01906063691","T2":"17.4184554633","M1":"0.0223780391078","M2":"0.57178396821"}}
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# Species
#	Species_Name: white oak
#	Species_Code: QUAL
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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
1827	0.824
1828	0.709
1829	0.812
1830	0.71
1831	0.803
1832	0.793
1833	0.72
1834	0.75
1835	0.683
1836	0.776
1837	0.703
1838	0.65
1839	0.611
1840	0.649
1841	0.681
1842	0.608
1843	0.57
1844	0.485
1845	0.576
1846	0.708
1847	0.733
1848	0.608
1849	0.716
1850	0.694
1851	0.608
1852	0.673
1853	0.627
1854	0.711
1855	0.855
1856	0.742
1857	0.715
1858	0.565
1859	0.547
1860	0.71
1861	0.793
1862	0.844
1863	0.759
1864	0.759
1865	0.732
1866	0.825
1867	0.869
1868	0.887
1869	0.922
1870	1.098
1871	0.962
1872	1.162
1873	1.088
1874	1.146
1875	1.342
1876	1.216
1877	1.336
1878	1.096
1879	1.062
1880	0.734
1881	0.883
1882	1.334
1883	1.353
1884	1.689
1885	1.07
1886	1.639
1887	1.476
1888	1.383
1889	1.908
1890	1.345
1891	1.829
1892	1.255
1893	1.234
1894	1.396
1895	1.677
1896	1.295
1897	1.128
1898	1.026
1899	1.189
1900	1.174
1901	1.237
1902	0.862
1903	1.152
1904	1.083
1905	1.386
1906	1.015
1907	1.001
1908	0.95
1909	1.017
1910	1.067
1911	0.548
1912	0.918
1913	0.758
1914	0.713
1915	0.857
1916	0.933
1917	1.041
1918	0.796
1919	1.029
1920	0.913
1921	0.861
1922	0.767
1923	0.581
1924	1.064
1925	0.878
1926	0.863
1927	0.837
1928	1.045
1929	0.961
1930	0.791
1931	0.855
1932	0.855
1933	0.514
1934	0.821
1935	0.771
1936	0.752
1937	0.713
1938	1.06
1939	0.721
1940	0.817
1941	0.624
1942	0.672
1943	0.68
1944	0.547
1945	0.876
1946	1.029
1947	0.886
1948	0.902
1949	0.953
1950	0.869
1951	0.671
1952	0.565
1953	0.716
1954	0.792
1955	0.682
1956	0.853
1957	0.864
1958	1.095
1959	0.82
1960	0.806
1961	0.87
1962	0.763
1963	0.954
1964	0.825
1965	1.018
1966	0.83
1967	1.039
1968	1.082
1969	1.037
1970	0.985
1971	1.104
1972	1.432
1973	1.373
1974	0.965
1975	0.927
1976	1.064
1977	0.906
1978	1.029
1979	1.066
1980	1.252
1981	1.193
1982	1.529
1983	1.345
1984	1.262
1985	0.962
1986	0.79
1987	0.75
1988	1.101
1989	1.223
1990	1.174
1991	1.046