# europe_germ300 - Odenthal  Abt. 17 - 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/4289
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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_germ300 - Odenthal  Abt. 17 - 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:
#--------------------
#	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: Odenthal  Abt. 17
#	Location:
#	Country: Germany
#	Northernmost_Latitude: 51.02
#	Southernmost_Latitude: 51.02
#	Easternmost_Longitude: 7.15
#	Westernmost_Longitude: 7.15
#	Elevation: 705 m
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# Data_Collection
#	Collection_Name: europe_germ300B
#	Earliest_Year: 1811
#	Most_Recent_Year: 1971
#	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":"5.96683997799","T2":"20.6643473803","M1":"0.0225430179197","M2":"0.370435203803"}}
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# Species
#	Species_Name: English oak
#	Species_Code: QURO
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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
1811	0.792
1812	0.968
1813	0.678
1814	0.64
1815	0.646
1816	0.596
1817	0.491
1818	0.507
1819	0.798
1820	1.101
1821	1.01
1822	0.895
1823	1.162
1824	1.262
1825	0.895
1826	0.953
1827	0.977
1828	1.077
1829	1.13
1830	1.071
1831	1.089
1832	0.908
1833	1.159
1834	1.642
1835	1.166
1836	1.371
1837	1.422
1838	1.189
1839	0.989
1840	1.129
1841	0.974
1842	0.866
1843	0.841
1844	0.757
1845	0.636
1846	0.53
1847	0.63
1848	0.996
1849	0.906
1850	0.957
1851	1.111
1852	0.995
1853	1.192
1854	0.951
1855	1.276
1856	0.993
1857	0.787
1858	0.698
1859	0.906
1860	0.858
1861	0.981
1862	0.61
1863	0.686
1864	0.735
1865	0.864
1866	0.825
1867	1.403
1868	0.65
1869	0.611
1870	1.117
1871	1.251
1872	1.098
1873	1.208
1874	1.021
1875	1.432
1876	0.942
1877	0.874
1878	1.161
1879	1.124
1880	1.074
1881	0.757
1882	1.105
1883	0.908
1884	1.009
1885	0.69
1886	1.101
1887	1.02
1888	0.677
1889	0.982
1890	1.069
1891	0.957
1892	1.373
1893	0.893
1894	1.51
1895	1.723
1896	1.379
1897	1.641
1898	1.584
1899	1.166
1900	1.371
1901	0.84
1902	0.989
1903	1.478
1904	1.149
1905	0.858
1906	0.73
1907	0.767
1908	0.725
1909	0.512
1910	1.198
1911	1.127
1912	1.312
1913	1.306
1914	1.303
1915	0.72
1916	0.817
1917	1.537
1918	1.198
1919	0.969
1920	0.717
1921	0.464
1922	0.501
1923	0.449
1924	0.468
1925	0.429
1926	0.486
1927	1.074
1928	0.979
1929	0.947
1930	0.951
1931	1.606
1932	1.2
1933	1.303
1934	1.203
1935	1.047
1936	1.338
1937	0.651
1938	0.757
1939	0.564
1940	0.746
1941	0.766
1942	0.745
1943	1.141
1944	1.112
1945	1.184
1946	1.591
1947	0.849
1948	0.928
1949	1.397
1950	1.482
1951	1.108
1952	0.901
1953	0.879
1954	0.935
1955	0.811
1956	0.628
1957	0.54
1958	0.746
1959	0.514
1960	0.737
1961	0.911
1962	1.021
1963	0.892
1964	0.988
1965	0.82
1966	0.911
1967	1.174
1968	0.997
1969	1.165
1970	1.419
1971	1.497