# europe_swed306 - Muddas South - 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/2840
#
# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: europe_swed306 - Muddas South - 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: Muddas South
#	Location:
#	Country: Sweden
#	Northernmost_Latitude: 66.78
#	Southernmost_Latitude: 66.78
#	Easternmost_Longitude: 20.13
#	Westernmost_Longitude: 20.13
#	Elevation: 270 m
#--------------------
# Data_Collection
#	Collection_Name: europe_swed306B
#	Earliest_Year: 1750
#	Most_Recent_Year: 1983
#	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":"6.70865933301","T2":"20.0897403463","M1":"0.022241426919","M2":"0.221613224851"}}
#--------------------
# Species
#	Species_Name: Scots pine
#	Species_Code: PISY
#--------------------
# 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
1750	0.896
1751	1.172
1752	1.181
1753	1.154
1754	1.239
1755	1.3
1756	1.141
1757	1.109
1758	0.985
1759	1.112
1760	1.237
1761	1.116
1762	1.304
1763	1.358
1764	1.295
1765	0.984
1766	1.184
1767	0.943
1768	0.864
1769	0.809
1770	0.831
1771	0.867
1772	0.866
1773	0.888
1774	0.878
1775	1.006
1776	1.094
1777	1.066
1778	1.149
1779	1.029
1780	0.903
1781	0.986
1782	0.989
1783	0.946
1784	0.952
1785	1.136
1786	0.836
1787	0.695
1788	0.987
1789	1.013
1790	0.837
1791	0.889
1792	0.711
1793	0.643
1794	0.689
1795	0.757
1796	0.74
1797	0.793
1798	0.901
1799	0.907
1800	0.592
1801	0.744
1802	0.845
1803	0.847
1804	1.023
1805	1.12
1806	0.698
1807	0.912
1808	0.863
1809	0.873
1810	0.866
1811	1.042
1812	0.716
1813	0.745
1814	0.838
1815	0.894
1816	1.04
1817	1.175
1818	1.322
1819	1.282
1820	1.13
1821	0.568
1822	0.745
1823	0.801
1824	0.71
1825	0.757
1826	1.287
1827	1.315
1828	1.13
1829	1.097
1830	0.909
1831	1.087
1832	0.938
1833	0.931
1834	1.028
1835	0.889
1836	1.014
1837	0.596
1838	0.919
1839	0.84
1840	0.832
1841	0.831
1842	1.081
1843	1.311
1844	1.166
1845	1.445
1846	1.404
1847	1.307
1848	1.363
1849	1.179
1850	1.275
1851	1.08
1852	1.118
1853	1.106
1854	1.591
1855	1.416
1856	1.235
1857	0.943
1858	1.298
1859	1.284
1860	1.049
1861	1.455
1862	1.19
1863	1.026
1864	1.062
1865	0.883
1866	1.156
1867	1.032
1868	1.329
1869	0.993
1870	1.084
1871	1.074
1872	1.16
1873	1.344
1874	1.087
1875	1.162
1876	1.028
1877	0.96
1878	0.79
1879	0.816
1880	0.839
1881	0.727
1882	1.051
1883	1.108
1884	1.13
1885	1.161
1886	1.015
1887	1.054
1888	0.63
1889	0.805
1890	0.904
1891	0.741
1892	0.749
1893	0.815
1894	0.98
1895	1.104
1896	0.921
1897	0.993
1898	1.238
1899	1.012
1900	1.048
1901	1.179
1902	1.206
1903	0.882
1904	0.802
1905	1.023
1906	1.111
1907	1.012
1908	1.069
1909	0.977
1910	1.134
1911	1.085
1912	1.143
1913	1.356
1914	1.556
1915	1.9
1916	1.706
1917	1.195
1918	1.213
1919	1.24
1920	1.47
1921	1.395
1922	1.27
1923	1.436
1924	1.296
1925	1.414
1926	1.117
1927	0.917
1928	0.574
1929	0.593
1930	0.805
1931	0.653
1932	0.658
1933	0.724
1934	0.76
1935	0.667
1936	0.683
1937	0.947
1938	0.77
1939	0.672
1940	0.616
1941	1.195
1942	0.868
1943	0.859
1944	0.859
1945	0.9
1946	0.744
1947	1.027
1948	0.89
1949	0.986
1950	0.822
1951	0.775
1952	0.833
1953	1.101
1954	1.19
1955	0.864
1956	0.59
1957	0.793
1958	0.81
1959	0.869
1960	0.797
1961	0.586
1962	0.793
1963	0.63
1964	0.829
1965	0.686
1966	0.758
1967	0.957
1968	0.903
1969	0.91
1970	0.8
1971	0.93
1972	0.914
1973	1.243
1974	0.94
1975	0.941
1976	1.101
1977	0.785
1978	0.814
1979	1.027
1980	0.919
1981	0.771
1982	0.854
1983	0.855