# europe_germ020 - Andreasberg Harz Schluft - Breitenmoser Tree Ring Chronology Data
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#		World Data Center for Paleoclimatology, Boulder
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#		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/4309
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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_germ020 - Andreasberg Harz Schluft - 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: Andreasberg Harz Schluft
#	Location:
#	Country: Germany
#	Northernmost_Latitude: 51.72
#	Southernmost_Latitude: 51.72
#	Easternmost_Longitude: 10.57
#	Westernmost_Longitude: 10.57
#	Elevation: 900 m
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# Data_Collection
#	Collection_Name: europe_germ020B
#	Earliest_Year: 1812
#	Most_Recent_Year: 1977
#	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":"6.83739362117","T2":"20.5616877372","M1":"0.0223337264636","M2":"0.235969952296"}}
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# Species
#	Species_Name: Norway spruce
#	Species_Code: PCAB
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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
1812	0.697
1813	0.778
1814	0.912
1815	0.932
1816	0.682
1817	0.829
1818	1.001
1819	1.119
1820	0.755
1821	0.599
1822	0.846
1823	0.747
1824	0.805
1825	0.919
1826	0.87
1827	0.837
1828	1.0
1829	1.006
1830	0.92
1831	1.244
1832	1.09
1833	1.604
1834	1.533
1835	0.952
1836	1.063
1837	0.935
1838	0.626
1839	0.916
1840	1.009
1841	1.106
1842	1.49
1843	0.764
1844	0.834
1845	1.003
1846	1.115
1847	0.902
1848	0.938
1849	1.186
1850	1.151
1851	0.919
1852	0.842
1853	1.28
1854	1.161
1855	1.077
1856	0.791
1857	0.815
1858	0.693
1859	0.819
1860	0.824
1861	1.034
1862	1.0
1863	1.168
1864	1.31
1865	1.236
1866	1.172
1867	1.121
1868	1.157
1869	0.812
1870	0.916
1871	0.82
1872	1.135
1873	1.4
1874	1.153
1875	1.378
1876	1.117
1877	0.979
1878	1.157
1879	1.038
1880	1.279
1881	1.227
1882	1.202
1883	0.872
1884	1.213
1885	1.11
1886	1.05
1887	1.008
1888	1.085
1889	1.175
1890	1.253
1891	1.034
1892	1.25
1893	1.176
1894	1.196
1895	1.481
1896	1.278
1897	1.318
1898	1.226
1899	1.022
1900	1.09
1901	1.277
1902	0.862
1903	1.047
1904	1.075
1905	1.168
1906	0.986
1907	0.973
1908	1.17
1909	1.139
1910	1.244
1911	1.208
1912	0.811
1913	0.84
1914	0.979
1915	0.678
1916	0.864
1917	0.987
1918	0.737
1919	0.912
1920	0.823
1921	0.925
1922	1.003
1923	0.582
1924	1.03
1925	1.093
1926	0.921
1927	0.966
1928	0.885
1929	1.13
1930	1.035
1931	1.152
1932	1.22
1933	1.248
1934	1.302
1935	1.164
1936	1.118
1937	0.959
1938	0.859
1939	0.901
1940	0.75
1941	0.879
1942	0.483
1943	0.547
1944	0.884
1945	1.09
1946	1.412
1947	1.51
1948	0.686
1949	0.895
1950	0.966
1951	0.977
1952	1.231
1953	1.446
1954	1.015
1955	1.138
1956	0.86
1957	0.97
1958	0.85
1959	0.837
1960	0.765
1961	0.403
1962	0.509
1963	0.833
1964	0.767
1965	0.574
1966	1.003
1967	1.067
1968	1.106
1969	0.974
1970	1.134
1971	0.898
1972	0.707
1973	0.737
1974	0.548
1975	0.794
1976	0.541
1977	0.667