# europe_norw001 - Lofoten Loedingen - 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/4513
#
# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: europe_norw001 - Lofoten Loedingen - 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: Lofoten Loedingen
#	Location:
#	Country: Norway
#	Northernmost_Latitude: 68.48
#	Southernmost_Latitude: 68.48
#	Easternmost_Longitude: 16.03
#	Westernmost_Longitude: 16.03
#	Elevation: 200 m
#--------------------
# Data_Collection
#	Collection_Name: europe_norw001B
#	Earliest_Year: 1668
#	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":"6.41172300266","T2":"19.6836234377","M1":"0.0225049994092","M2":"0.339290174245"}}
#--------------------
# 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
1668	1.466
1669	1.017
1670	1.119
1671	1.105
1672	1.083
1673	1.093
1674	0.994
1675	0.751
1676	0.865
1677	1.319
1678	1.131
1679	0.93
1680	0.754
1681	0.991
1682	1.273
1683	1.059
1684	1.015
1685	1.264
1686	0.728
1687	0.696
1688	0.956
1689	1.131
1690	0.917
1691	1.138
1692	1.057
1693	1.29
1694	1.195
1695	0.975
1696	0.931
1697	0.891
1698	1.205
1699	1.129
1700	1.293
1701	0.994
1702	1.397
1703	1.478
1704	1.351
1705	0.826
1706	0.911
1707	1.519
1708	0.829
1709	0.618
1710	0.741
1711	0.868
1712	0.844
1713	1.068
1714	0.816
1715	1.187
1716	0.93
1717	0.892
1718	0.69
1719	0.608
1720	0.808
1721	0.911
1722	1.061
1723	0.899
1724	1.092
1725	1.1
1726	0.93
1727	0.913
1728	0.574
1729	0.846
1730	1.043
1731	1.008
1732	1.177
1733	0.869
1734	0.588
1735	0.795
1736	1.118
1737	0.882
1738	1.138
1739	1.107
1740	1.061
1741	0.738
1742	1.055
1743	0.912
1744	1.007
1745	0.839
1746	0.889
1747	0.816
1748	0.963
1749	0.868
1750	1.051
1751	1.062
1752	1.38
1753	1.358
1754	1.278
1755	1.209
1756	0.875
1757	1.084
1758	1.206
1759	0.92
1760	1.032
1761	1.229
1762	1.396
1763	0.906
1764	0.951
1765	1.083
1766	1.004
1767	0.869
1768	0.794
1769	0.791
1770	0.681
1771	0.568
1772	0.676
1773	1.147
1774	1.457
1775	1.355
1776	1.063
1777	1.218
1778	1.046
1779	1.026
1780	0.945
1781	0.752
1782	0.794
1783	0.687
1784	0.722
1785	0.896
1786	0.728
1787	1.114
1788	0.934
1789	1.026
1790	0.925
1791	0.935
1792	1.012
1793	1.317
1794	1.364
1795	1.141
1796	1.204
1797	1.108
1798	1.414
1799	1.497
1800	1.025
1801	1.501
1802	1.131
1803	0.741
1804	1.082
1805	0.957
1806	0.765
1807	0.832
1808	0.816
1809	0.805
1810	0.763
1811	0.717
1812	0.572
1813	0.772
1814	0.888
1815	0.748
1816	0.888
1817	0.848
1818	0.829
1819	0.782
1820	0.839
1821	0.66
1822	0.635
1823	0.968
1824	0.972
1825	0.715
1826	1.276
1827	1.253
1828	1.462
1829	1.274
1830	0.889
1831	0.999
1832	1.011
1833	0.935
1834	0.871
1835	0.729
1836	1.148
1837	0.657
1838	0.934
1839	0.913
1840	1.094
1841	1.21
1842	1.119
1843	1.028
1844	1.207
1845	0.864
1846	1.107
1847	1.113
1848	0.943
1849	0.792
1850	0.585
1851	0.804
1852	1.026
1853	0.898
1854	0.837
1855	0.751
1856	0.766
1857	0.58
1858	1.002
1859	0.711
1860	0.82
1861	0.813
1862	0.639
1863	0.609
1864	0.544
1865	0.584
1866	0.589
1867	0.41
1868	0.301
1869	0.614
1870	0.736
1871	0.895
1872	1.108
1873	1.189
1874	0.695
1875	0.742
1876	0.956
1877	0.912
1878	1.099
1879	1.094
1880	0.806
1881	0.609
1882	0.857
1883	1.034
1884	1.01
1885	0.739
1886	1.063
1887	0.803
1888	0.747
1889	0.693
1890	0.876
1891	0.632
1892	0.523
1893	0.566
1894	0.793
1895	0.847
1896	0.889
1897	0.813
1898	0.958
1899	0.787
1900	0.737
1901	1.051
1902	1.12
1903	0.996
1904	1.158
1905	1.235
1906	1.179
1907	1.064
1908	1.145
1909	0.883
1910	1.163
1911	1.06
1912	1.293
1913	1.152
1914	1.256
1915	1.254
1916	1.184
1917	1.096
1918	1.142
1919	1.062
1920	1.278
1921	1.187
1922	1.361
1923	0.841
1924	1.167
1925	1.352
1926	1.026
1927	1.259
1928	1.156
1929	1.215
1930	1.812
1931	1.303
1932	1.394
1933	1.052
1934	1.45
1935	0.871
1936	1.026
1937	1.14
1938	1.141
1939	1.201
1940	1.161
1941	1.538
1942	1.158
1943	1.168
1944	1.28
1945	1.358
1946	1.194
1947	0.852
1948	0.971
1949	1.125
1950	1.225
1951	1.01
1952	0.807
1953	1.035
1954	1.103
1955	0.64
1956	0.977
1957	0.927
1958	0.867
1959	0.726
1960	1.002
1961	0.932
1962	0.906
1963	0.856
1964	0.736
1965	0.874
1966	0.837
1967	0.72
1968	0.839
1969	1.099
1970	1.227
1971	0.923
1972	1.061
1973	0.994
1974	0.986
1975	0.625
1976	0.682
1977	0.829
1978	0.789