# europe_finl011 - Laagennus Pyhantunturi National Park - 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/4492
#
# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: europe_finl011 - Laagennus Pyhantunturi National Park - 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: Laagennus Pyhantunturi National Park
#	Location:
#	Country: Finland
#	Northernmost_Latitude: 67.0
#	Southernmost_Latitude: 67.0
#	Easternmost_Longitude: 27.12
#	Westernmost_Longitude: 27.12
#	Elevation: 270 m
#--------------------
# Data_Collection
#	Collection_Name: europe_finl011B
#	Earliest_Year: 1728
#	Most_Recent_Year: 1978
#	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":"4.48417022862","T2":"19.2744451707","M1":"0.0222094979116","M2":"0.28220140135"}}
#--------------------
# 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
1728	1.057
1729	1.18
1730	1.133
1731	0.818
1732	1.087
1733	0.91
1734	0.727
1735	0.957
1736	1.295
1737	0.788
1738	1.138
1739	1.04
1740	0.798
1741	0.624
1742	0.83
1743	0.906
1744	1.085
1745	1.003
1746	1.12
1747	0.856
1748	1.104
1749	1.127
1750	1.293
1751	1.08
1752	1.382
1753	1.2
1754	1.372
1755	1.415
1756	1.32
1757	1.343
1758	1.144
1759	1.205
1760	1.33
1761	1.097
1762	1.076
1763	0.769
1764	0.826
1765	0.836
1766	1.02
1767	0.818
1768	0.886
1769	0.795
1770	0.885
1771	0.702
1772	0.933
1773	1.108
1774	1.198
1775	1.049
1776	0.931
1777	0.977
1778	1.144
1779	1.17
1780	0.88
1781	0.666
1782	0.739
1783	0.748
1784	0.845
1785	1.069
1786	0.812
1787	0.85
1788	1.026
1789	1.199
1790	0.778
1791	1.217
1792	1.055
1793	0.9
1794	0.872
1795	1.093
1796	1.26
1797	1.052
1798	1.184
1799	1.152
1800	0.924
1801	1.11
1802	1.039
1803	1.074
1804	1.359
1805	1.147
1806	0.71
1807	1.156
1808	0.913
1809	0.838
1810	0.834
1811	0.852
1812	0.849
1813	0.726
1814	0.801
1815	0.61
1816	0.891
1817	0.941
1818	1.154
1819	1.082
1820	0.699
1821	0.66
1822	0.789
1823	1.014
1824	1.03
1825	1.083
1826	1.342
1827	1.169
1828	1.005
1829	1.164
1830	0.927
1831	1.11
1832	0.944
1833	1.019
1834	1.214
1835	1.017
1836	1.185
1837	0.504
1838	0.944
1839	0.781
1840	0.953
1841	0.797
1842	0.765
1843	1.008
1844	0.824
1845	1.029
1846	0.725
1847	0.79
1848	0.742
1849	1.037
1850	0.93
1851	1.037
1852	1.384
1853	1.055
1854	1.111
1855	1.06
1856	0.896
1857	0.819
1858	0.972
1859	0.803
1860	0.703
1861	0.992
1862	0.803
1863	0.833
1864	0.907
1865	1.23
1866	1.05
1867	0.974
1868	1.145
1869	1.01
1870	1.131
1871	0.916
1872	0.895
1873	0.902
1874	0.65
1875	0.812
1876	1.07
1877	1.104
1878	1.068
1879	0.9
1880	0.541
1881	0.647
1882	1.01
1883	0.895
1884	0.886
1885	0.997
1886	1.187
1887	1.008
1888	0.723
1889	1.068
1890	1.291
1891	0.932
1892	0.804
1893	0.728
1894	0.83
1895	0.815
1896	1.26
1897	0.939
1898	1.308
1899	1.066
1900	0.823
1901	1.11
1902	0.886
1903	0.476
1904	0.657
1905	0.797
1906	0.926
1907	0.713
1908	0.967
1909	0.886
1910	0.553
1911	0.57
1912	0.927
1913	0.766
1914	0.863
1915	0.883
1916	0.877
1917	0.774
1918	0.773
1919	0.839
1920	0.88
1921	1.078
1922	1.343
1923	1.339
1924	1.194
1925	1.238
1926	0.944
1927	1.065
1928	0.711
1929	0.743
1930	1.129
1931	0.972
1932	0.92
1933	0.725
1934	1.151
1935	0.889
1936	0.934
1937	1.179
1938	1.016
1939	0.881
1940	0.737
1941	1.115
1942	0.942
1943	0.92
1944	1.01
1945	0.928
1946	0.778
1947	1.156
1948	1.079
1949	1.107
1950	1.224
1951	1.08
1952	1.266
1953	1.745
1954	1.547
1955	1.426
1956	1.094
1957	1.395
1958	1.029
1959	1.409
1960	1.428
1961	0.986
1962	0.978
1963	0.806
1964	1.413
1965	0.922
1966	1.185
1967	1.216
1968	1.185
1969	0.914
1970	1.077
1971	0.912
1972	1.203
1973	1.4
1974	1.028
1975	1.045
1976	1.136
1977	0.993
1978	0.921