# europe_swit123 - Burchen Bielwald - 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/4359
#
# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: europe_swit123 - Burchen Bielwald - 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: Burchen Bielwald
#	Location:
#	Country: Switzerland
#	Northernmost_Latitude: 46.28
#	Southernmost_Latitude: 46.28
#	Easternmost_Longitude: 7.83
#	Westernmost_Longitude: 7.83
#	Elevation: 1740 m
#--------------------
# Data_Collection
#	Collection_Name: europe_swit123B
#	Earliest_Year: 1826
#	Most_Recent_Year: 1980
#	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":"5.82359600599","T2":"17.1730117334","M1":"0.0223572848836","M2":"0.401313946174"}}
#--------------------
# Species
#	Species_Name: silver fir
#	Species_Code: ABAL
#--------------------
# 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
1826	1.661
1827	1.428
1828	1.524
1829	1.471
1830	0.892
1831	1.251
1832	1.136
1833	0.923
1834	1.278
1835	1.266
1836	0.964
1837	0.938
1838	0.869
1839	0.968
1840	1.01
1841	1.017
1842	1.155
1843	1.118
1844	1.009
1845	1.253
1846	1.418
1847	1.106
1848	1.391
1849	1.323
1850	1.18
1851	1.077
1852	1.23
1853	1.192
1854	1.069
1855	0.904
1856	1.036
1857	0.995
1858	0.948
1859	1.137
1860	0.71
1861	0.808
1862	0.682
1863	0.772
1864	0.817
1865	0.709
1866	0.909
1867	0.905
1868	0.78
1869	0.931
1870	0.748
1871	0.909
1872	0.915
1873	1.137
1874	0.873
1875	0.907
1876	1.165
1877	0.927
1878	1.015
1879	1.044
1880	0.932
1881	1.133
1882	1.008
1883	1.012
1884	1.078
1885	0.95
1886	0.983
1887	1.077
1888	0.566
1889	1.14
1890	1.048
1891	0.767
1892	1.076
1893	1.003
1894	0.992
1895	0.956
1896	0.921
1897	1.013
1898	1.254
1899	1.118
1900	1.097
1901	1.069
1902	1.221
1903	1.128
1904	1.037
1905	1.1
1906	0.873
1907	0.882
1908	0.948
1909	0.847
1910	0.953
1911	1.1
1912	0.874
1913	0.837
1914	1.212
1915	0.885
1916	1.068
1917	0.881
1918	1.123
1919	0.943
1920	0.995
1921	1.177
1922	0.817
1923	1.159
1924	1.016
1925	1.057
1926	1.277
1927	1.168
1928	1.317
1929	1.094
1930	1.128
1931	1.26
1932	1.481
1933	1.189
1934	1.001
1935	1.082
1936	1.18
1937	0.998
1938	1.203
1939	1.184
1940	1.152
1941	1.15
1942	1.062
1943	1.119
1944	1.035
1945	0.827
1946	1.099
1947	0.876
1948	0.728
1949	1.079
1950	0.843
1951	0.985
1952	1.135
1953	1.026
1954	1.03
1955	1.184
1956	1.021
1957	1.013
1958	1.022
1959	1.109
1960	0.933
1961	1.119
1962	0.962
1963	0.894
1964	0.981
1965	0.75
1966	0.815
1967	1.043
1968	0.877
1969	0.991
1970	0.86
1971	0.958
1972	0.915
1973	0.856
1974	0.876
1975	0.627
1976	0.833
1977	0.839
1978	0.781
1979	0.781
1980	0.764