# europe_ital013 - Aetna Linguaglossa - Breitenmoser Tree Ring Chronology Data
#-----------------------------------------------------------------------
#		World Data Center for Paleoclimatology, Boulder
#				and
#		NOAA Paleoclimatology Program
#-----------------------------------------------------------------------
# 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.
#
#
# Online_Resource:
#
# Online_Resource: https://www.ncdc.noaa.gov/paleo/study/24611
#
# Original_Source_URL:https://www.ncdc.noaa.gov/paleo/study/4304
#
# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: europe_ital013 - Aetna Linguaglossa - 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.
#--------------------
#	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.
#------------------
# 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
#------------------
# Site_Information
#	Site_Name: Aetna Linguaglossa
#	Location:
#	Country: Italy
#	Northernmost_Latitude: 37.78
#	Southernmost_Latitude: 37.78
#	Easternmost_Longitude: 15.05
#	Westernmost_Longitude: 15.05
#	Elevation: 1800 m
#--------------------
# Data_Collection
#	Collection_Name: europe_ital013B
#	Earliest_Year: 1812
#	Most_Recent_Year: 1980
#	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":"4.49182844119","T2":"15.7846387048","M1":"0.022327879831","M2":"0.446451960453"}}
#--------------------
# Species
#	Species_Name: Austrian pine
#	Species_Code: PINI
#--------------------
# Chronology:
#
#
#
#--------------------
# 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)
#
##age	age, , ,years AD, , , , ,N
##trsgi	tree ring standardized growth index, tree ring, ,percent relative to mean growth, , Tree Rings, , ,N
#
#--------------------
# Data:
# Data lines follow (have no #)
# Data line format - tab-delimited text, variable short name as header
# Missing Values: nan
#
age	trsgi
1812	0.571
1813	0.734
1814	0.758
1815	0.877
1816	0.742
1817	0.87
1818	1.07
1819	1.036
1820	0.847
1821	0.916
1822	1.221
1823	1.131
1824	0.943
1825	1.483
1826	1.471
1827	1.163
1828	0.953
1829	1.146
1830	0.894
1831	0.846
1832	0.664
1833	0.442
1834	0.878
1835	0.959
1836	0.85
1837	1.004
1838	0.858
1839	0.755
1840	0.852
1841	1.009
1842	0.956
1843	1.511
1844	0.957
1845	0.905
1846	0.704
1847	0.925
1848	1.008
1849	1.157
1850	1.07
1851	1.302
1852	1.291
1853	0.869
1854	0.421
1855	0.866
1856	1.246
1857	0.904
1858	1.127
1859	1.607
1860	1.66
1861	0.882
1862	1.106
1863	1.155
1864	0.747
1865	0.712
1866	1.265
1867	1.259
1868	1.198
1869	1.06
1870	1.268
1871	1.03
1872	1.01
1873	1.132
1874	0.782
1875	0.889
1876	1.321
1877	1.884
1878	0.859
1879	1.025
1880	1.067
1881	0.819
1882	0.447
1883	0.422
1884	0.919
1885	1.326
1886	1.128
1887	0.998
1888	0.197
1889	0.245
1890	0.554
1891	1.014
1892	0.858
1893	0.658
1894	1.055
1895	0.932
1896	0.766
1897	1.573
1898	1.596
1899	1.597
1900	1.224
1901	0.954
1902	1.181
1903	1.365
1904	0.87
1905	0.813
1906	0.807
1907	0.651
1908	0.957
1909	0.88
1910	0.695
1911	0.776
1912	0.683
1913	0.576
1914	0.387
1915	0.442
1916	0.663
1917	0.995
1918	0.775
1919	0.414
1920	0.801
1921	0.668
1922	0.555
1923	0.419
1924	0.487
1925	0.882
1926	0.765
1927	0.821
1928	0.783
1929	0.4
1930	0.742
1931	0.768
1932	0.474
1933	0.601
1934	1.278
1935	1.023
1936	1.014
1937	0.827
1938	1.168
1939	0.95
1940	0.936
1941	1.814
1942	2.025
1943	1.325
1944	0.867
1945	1.271
1946	0.976
1947	0.529
1948	1.055
1949	1.455
1950	0.89
1951	0.736
1952	1.54
1953	1.239
1954	1.078
1955	1.47
1956	1.698
1957	1.092
1958	0.822
1959	1.268
1960	1.405
1961	1.615
1962	2.029
1963	0.881
1964	1.168
1965	1.17
1966	0.761
1967	0.841
1968	0.89
1969	0.806
1970	0.844
1971	0.84
1972	0.965
1973	0.761
1974	1.04
1975	0.848
1976	0.588
1977	0.863
1978	1.197
1979	1.264
1980	1.135