# northamerica_usa_sd003 - Blair - 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/3929
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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_sd003 - Blair - Breitenmoser Tree Ring Chronology Data
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# Investigators
#	Investigators:  Breitenmoser, P.; Bronnimann, S.; Frank, D.
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# Description_and_Notes
#	Description: Data from Breitenmoser 2014 Journal of past Climate supplementary, see publication for ARSTAN standardization details
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# 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:
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#	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: Blair
#	Location:
#	Country: United States
#	Northernmost_Latitude: 44.33
#	Southernmost_Latitude: 44.33
#	Easternmost_Longitude: -103.43
#	Westernmost_Longitude: -103.43
#	Elevation: 1097 m
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# Data_Collection
#	Collection_Name: northamerica_usa_sd003B
#	Earliest_Year: 1856
#	Most_Recent_Year: 1990
#	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":"4.97225322799","T2":"17.3575415364","M1":"0.0226370879283","M2":"0.33184117615"}}
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# Species
#	Species_Name: burr oak
#	Species_Code: QUMA
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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
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age	trsgi
1856	0.916
1857	0.975
1858	1.039
1859	1.232
1860	0.77
1861	0.909
1862	0.956
1863	0.814
1864	0.876
1865	0.655
1866	0.956
1867	0.795
1868	0.808
1869	0.632
1870	0.657
1871	0.543
1872	0.738
1873	0.833
1874	0.73
1875	0.628
1876	0.595
1877	0.665
1878	0.793
1879	0.982
1880	0.865
1881	0.708
1882	0.794
1883	0.833
1884	1.003
1885	1.07
1886	0.831
1887	1.054
1888	1.124
1889	1.188
1890	0.959
1891	1.594
1892	1.365
1893	1.197
1894	1.344
1895	1.296
1896	0.99
1897	0.776
1898	0.895
1899	0.992
1900	0.709
1901	0.944
1902	1.423
1903	1.47
1904	1.435
1905	1.33
1906	0.716
1907	1.009
1908	1.051
1909	1.192
1910	0.759
1911	0.766
1912	1.009
1913	1.044
1914	0.863
1915	0.675
1916	1.004
1917	1.066
1918	0.955
1919	1.048
1920	0.947
1921	0.86
1922	1.224
1923	1.223
1924	1.092
1925	1.178
1926	1.289
1927	1.201
1928	1.241
1929	0.985
1930	0.936
1931	0.646
1932	1.279
1933	1.32
1934	1.238
1935	1.041
1936	0.971
1937	0.918
1938	0.788
1939	0.757
1940	0.84
1941	1.112
1942	1.388
1943	0.904
1944	0.926
1945	1.052
1946	0.814
1947	0.857
1948	0.898
1949	1.17
1950	1.171
1951	0.875
1952	0.885
1953	1.175
1954	1.046
1955	1.017
1956	1.013
1957	1.379
1958	1.046
1959	0.913
1960	0.705
1961	0.612
1962	0.865
1963	0.802
1964	1.11
1965	1.0
1966	0.9
1967	0.664
1968	0.887
1969	1.063
1970	0.973
1971	1.057
1972	1.324
1973	0.962
1974	0.698
1975	0.843
1976	1.014
1977	0.886
1978	1.083
1979	0.942
1980	0.624
1981	0.879
1982	1.206
1983	0.984
1984	1.004
1985	0.879
1986	1.186
1987	1.01
1988	0.814
1989	0.919
1990	1.011