# europe_norw002 - Tua Steinkier - 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/4698
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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: europe_norw002 - Tua Steinkier - 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: Tua Steinkier
#	Location:
#	Country: Norway
#	Northernmost_Latitude: 63.95
#	Southernmost_Latitude: 63.95
#	Easternmost_Longitude: 10.88
#	Westernmost_Longitude: 10.88
#	Elevation: 300 m
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# Data_Collection
#	Collection_Name: europe_norw002B
#	Earliest_Year: 1807
#	Most_Recent_Year: 1978
#	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":"6.06363524547","T2":"19.2001902088","M1":"0.0222171898298","M2":"0.364947292335"}}
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# Species
#	Species_Name: Scots pine
#	Species_Code: PISY
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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
1807	0.974
1808	1.188
1809	1.226
1810	0.894
1811	1.093
1812	0.876
1813	1.015
1814	1.068
1815	1.124
1816	1.238
1817	1.179
1818	1.147
1819	1.437
1820	0.981
1821	0.817
1822	1.082
1823	1.148
1824	0.98
1825	1.002
1826	1.227
1827	1.081
1828	1.479
1829	1.137
1830	0.858
1831	1.193
1832	0.942
1833	1.196
1834	1.152
1835	0.855
1836	0.972
1837	0.842
1838	0.942
1839	0.798
1840	0.853
1841	0.93
1842	1.064
1843	0.874
1844	0.7
1845	0.784
1846	0.703
1847	0.878
1848	0.812
1849	0.783
1850	0.777
1851	0.994
1852	0.968
1853	0.716
1854	1.061
1855	0.967
1856	0.882
1857	1.27
1858	1.488
1859	1.017
1860	1.191
1861	1.177
1862	1.127
1863	0.827
1864	0.637
1865	0.508
1866	0.734
1867	0.959
1868	1.279
1869	1.261
1870	1.296
1871	1.208
1872	1.11
1873	1.065
1874	0.95
1875	1.218
1876	1.1
1877	1.236
1878	1.172
1879	1.175
1880	0.86
1881	0.69
1882	1.276
1883	1.11
1884	1.257
1885	1.139
1886	0.991
1887	1.27
1888	1.006
1889	1.012
1890	0.86
1891	0.851
1892	0.714
1893	0.781
1894	0.818
1895	0.931
1896	0.928
1897	0.931
1898	0.911
1899	0.916
1900	0.996
1901	1.068
1902	0.874
1903	0.617
1904	0.78
1905	0.734
1906	0.852
1907	0.829
1908	0.814
1909	0.792
1910	0.97
1911	0.767
1912	0.803
1913	0.812
1914	0.946
1915	0.942
1916	1.11
1917	1.191
1918	0.881
1919	0.999
1920	0.775
1921	0.669
1922	0.795
1923	0.618
1924	0.821
1925	0.971
1926	0.786
1927	0.982
1928	0.634
1929	0.864
1930	1.088
1931	0.926
1932	0.968
1933	1.243
1934	1.47
1935	0.876
1936	1.129
1937	1.398
1938	1.303
1939	1.221
1940	1.115
1941	1.327
1942	1.167
1943	1.093
1944	1.016
1945	1.065
1946	1.081
1947	1.152
1948	0.901
1949	0.995
1950	1.242
1951	1.083
1952	0.851
1953	1.268
1954	1.238
1955	1.099
1956	0.776
1957	0.991
1958	0.874
1959	0.976
1960	1.133
1961	0.849
1962	0.884
1963	0.891
1964	0.801
1965	0.905
1966	0.863
1967	1.013
1968	1.001
1969	1.04
1970	1.043
1971	0.924
1972	1.082
1973	1.007
1974	0.769
1975	1.109
1976	0.953
1977	0.836
1978	1.034