# africa_morc003 - Ta'Adlount - 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/4992
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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
#--------------------
# Title
#	Study_Name: africa_morc003 - Ta'Adlount - Breitenmoser Tree Ring Chronology Data
#--------------------
# 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: Ta'Adlount
#	Location:
#	Country: Morocco
#	Northernmost_Latitude: 32.38
#	Southernmost_Latitude: 32.38
#	Easternmost_Longitude: -5.6
#	Westernmost_Longitude: -5.6
#	Elevation: 2200 m
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# Data_Collection
#	Collection_Name: africa_morc003B
#	Earliest_Year: 1755
#	Most_Recent_Year: 1984
#	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":"3.96860437938","T2":"16.8837525101","M1":"0.0232703304855","M2":"0.455145247035"}}
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# Species
#	Species_Name: Atlantic cedar
#	Species_Code: CDAT
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# Chronology:
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# Variables
#
# 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
1755	1.037
1756	0.839
1757	0.99
1758	1.017
1759	0.865
1760	1.04
1761	0.993
1762	1.219
1763	1.156
1764	0.631
1765	0.731
1766	0.936
1767	1.101
1768	1.005
1769	1.231
1770	1.0
1771	0.916
1772	1.036
1773	1.089
1774	1.103
1775	1.198
1776	1.131
1777	1.132
1778	1.166
1779	0.795
1780	0.884
1781	0.96
1782	0.996
1783	1.185
1784	1.293
1785	1.218
1786	1.37
1787	1.22
1788	1.332
1789	1.034
1790	1.276
1791	1.054
1792	1.229
1793	1.142
1794	0.936
1795	0.968
1796	0.871
1797	0.94
1798	0.875
1799	1.009
1800	0.641
1801	0.594
1802	0.602
1803	0.834
1804	0.91
1805	0.939
1806	0.871
1807	0.96
1808	1.075
1809	1.201
1810	1.059
1811	1.19
1812	1.025
1813	1.094
1814	1.328
1815	1.333
1816	1.19
1817	0.84
1818	1.021
1819	1.073
1820	0.915
1821	1.1
1822	0.974
1823	0.998
1824	0.631
1825	0.453
1826	0.911
1827	0.932
1828	0.756
1829	0.931
1830	1.037
1831	0.903
1832	1.08
1833	1.125
1834	0.936
1835	1.202
1836	0.931
1837	1.438
1838	0.971
1839	0.89
1840	1.028
1841	0.999
1842	0.875
1843	0.746
1844	0.898
1845	0.933
1846	1.122
1847	1.054
1848	1.089
1849	1.23
1850	0.947
1851	1.245
1852	1.069
1853	1.208
1854	1.046
1855	1.297
1856	1.139
1857	0.986
1858	0.895
1859	0.871
1860	1.047
1861	1.005
1862	1.076
1863	1.036
1864	1.117
1865	1.102
1866	0.932
1867	0.608
1868	0.679
1869	0.771
1870	1.118
1871	0.985
1872	0.959
1873	1.042
1874	0.318
1875	1.107
1876	0.974
1877	0.739
1878	0.239
1879	0.749
1880	0.864
1881	0.697
1882	0.188
1883	0.649
1884	0.612
1885	0.763
1886	0.782
1887	0.485
1888	1.039
1889	0.888
1890	0.851
1891	0.82
1892	0.534
1893	0.798
1894	0.796
1895	0.833
1896	0.86
1897	0.372
1898	0.727
1899	0.782
1900	0.988
1901	1.251
1902	1.098
1903	1.162
1904	0.938
1905	0.501
1906	1.02
1907	0.894
1908	0.9
1909	0.918
1910	0.883
1911	0.85
1912	1.054
1913	1.006
1914	1.183
1915	1.174
1916	1.054
1917	1.278
1918	1.204
1919	1.115
1920	1.107
1921	1.297
1922	1.558
1923	1.266
1924	1.228
1925	1.331
1926	1.016
1927	1.091
1928	1.14
1929	1.279
1930	1.441
1931	0.932
1932	1.13
1933	0.871
1934	0.889
1935	0.956
1936	1.168
1937	0.659
1938	0.98
1939	1.129
1940	1.07
1941	1.284
1942	1.203
1943	1.185
1944	1.178
1945	0.004
1946	1.209
1947	1.165
1948	1.129
1949	1.092
1950	0.946
1951	1.038
1952	0.775
1953	0.928
1954	1.129
1955	1.365
1956	1.064
1957	0.824
1958	1.237
1959	1.162
1960	1.617
1961	1.527
1962	1.317
1963	1.481
1964	1.146
1965	1.22
1966	0.515
1967	0.888
1968	0.862
1969	1.235
1970	1.088
1971	0.994
1972	1.026
1973	1.11
1974	1.062
1975	1.31
1976	1.379
1977	0.886
1978	1.321
1979	0.864
1980	0.918
1981	0.597
1982	0.643
1983	0.163
1984	0.382