# northamerica_usa_mi006 - Loon Lake - 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
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# Original_Source_URL:https://www.ncdc.noaa.gov/paleo/study/2994
#
# Description/Documentation lines begin with #
# Data lines have no #
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# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: northamerica_usa_mi006 - Loon Lake - 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: Loon Lake
#	Location:
#	Country: United States
#	Northernmost_Latitude: 46.2
#	Southernmost_Latitude: 46.2
#	Easternmost_Longitude: -89.3
#	Westernmost_Longitude: -89.3
#	Elevation: 500 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_mi006B
#	Earliest_Year: 1671
#	Most_Recent_Year: 1983
#	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":"2.35851442465","T2":"12.033275976","M1":"0.0234355624179","M2":"0.587278061476"}}
#--------------------
# Species
#	Species_Name: eastern hemlock
#	Species_Code: TSCA
#--------------------
# 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
1671	0.883
1672	0.963
1673	0.811
1674	1.053
1675	0.866
1676	1.328
1677	0.275
1678	0.984
1679	1.053
1680	1.371
1681	0.711
1682	0.83
1683	0.84
1684	1.075
1685	1.026
1686	1.802
1687	1.222
1688	1.117
1689	0.77
1690	1.037
1691	0.559
1692	1.316
1693	1.452
1694	1.464
1695	1.606
1696	1.229
1697	1.033
1698	0.716
1699	0.967
1700	0.667
1701	0.551
1702	1.122
1703	1.314
1704	1.608
1705	1.506
1706	1.732
1707	1.304
1708	1.086
1709	1.163
1710	0.884
1711	1.15
1712	1.114
1713	0.873
1714	0.948
1715	1.099
1716	0.653
1717	1.108
1718	0.699
1719	1.126
1720	1.023
1721	1.233
1722	0.633
1723	0.852
1724	1.007
1725	1.341
1726	1.353
1727	1.193
1728	0.976
1729	0.968
1730	0.978
1731	0.828
1732	0.73
1733	0.641
1734	0.818
1735	0.606
1736	0.408
1737	0.653
1738	0.888
1739	0.74
1740	1.185
1741	0.198
1742	0.497
1743	0.647
1744	0.649
1745	1.273
1746	1.489
1747	1.659
1748	1.279
1749	1.375
1750	1.656
1751	0.966
1752	1.117
1753	0.721
1754	1.01
1755	0.952
1756	1.763
1757	0.37
1758	0.692
1759	1.224
1760	1.024
1761	0.94
1762	1.056
1763	0.854
1764	1.235
1765	1.043
1766	1.239
1767	1.018
1768	1.074
1769	1.434
1770	0.808
1771	0.901
1772	0.363
1773	0.888
1774	0.75
1775	1.15
1776	0.933
1777	1.245
1778	1.28
1779	1.57
1780	1.212
1781	0.958
1782	1.475
1783	1.285
1784	1.326
1785	0.99
1786	0.996
1787	1.077
1788	1.229
1789	0.941
1790	0.586
1791	0.714
1792	0.745
1793	1.153
1794	1.003
1795	0.989
1796	1.185
1797	1.267
1798	0.769
1799	0.873
1800	1.073
1801	0.789
1802	0.862
1803	0.833
1804	0.652
1805	0.968
1806	0.944
1807	1.113
1808	1.094
1809	0.64
1810	0.677
1811	0.583
1812	0.904
1813	1.033
1814	0.946
1815	0.802
1816	0.531
1817	0.893
1818	0.956
1819	0.868
1820	0.811
1821	0.792
1822	0.725
1823	1.29
1824	1.437
1825	1.326
1826	0.689
1827	1.046
1828	0.871
1829	1.017
1830	1.278
1831	0.973
1832	0.944
1833	1.132
1834	0.939
1835	0.872
1836	1.214
1837	1.078
1838	1.168
1839	0.447
1840	1.005
1841	0.79
1842	0.778
1843	0.813
1844	0.773
1845	1.082
1846	0.849
1847	0.843
1848	1.342
1849	0.959
1850	1.013
1851	1.181
1852	0.91
1853	0.634
1854	0.635
1855	0.566
1856	1.271
1857	0.96
1858	1.331
1859	1.081
1860	1.169
1861	0.941
1862	0.957
1863	0.706
1864	0.753
1865	0.611
1866	0.73
1867	1.176
1868	0.948
1869	0.909
1870	-0.104
1871	0.54
1872	0.762
1873	0.573
1874	0.628
1875	0.279
1876	0.836
1877	0.787
1878	1.361
1879	1.077
1880	0.825
1881	0.684
1882	1.379
1883	0.983
1884	1.405
1885	1.043
1886	1.037
1887	0.437
1888	0.393
1889	0.959
1890	1.084
1891	0.88
1892	1.244
1893	0.666
1894	0.82
1895	0.67
1896	0.755
1897	1.22
1898	1.522
1899	1.633
1900	1.827
1901	1.043
1902	1.402
1903	1.976
1904	0.854
1905	1.724
1906	1.343
1907	0.611
1908	1.009
1909	0.589
1910	0.909
1911	0.641
1912	1.164
1913	1.733
1914	1.557
1915	1.196
1916	1.554
1917	0.854
1918	0.656
1919	1.165
1920	1.084
1921	0.973
1922	0.515
1923	0.838
1924	1.144
1925	0.954
1926	0.883
1927	0.617
1928	1.247
1929	1.271
1930	1.027
1931	0.878
1932	0.554
1933	0.43
1934	0.362
1935	0.755
1936	0.626
1937	0.285
1938	0.798
1939	1.131
1940	1.286
1941	1.093
1942	1.032
1943	1.194
1944	0.936
1945	1.315
1946	1.642
1947	1.089
1948	0.234
1949	0.666
1950	0.654
1951	0.784
1952	1.3
1953	0.974
1954	1.361
1955	1.276
1956	0.888
1957	1.329
1958	1.068
1959	0.947
1960	0.767
1961	1.41
1962	1.032
1963	1.368
1964	0.95
1965	0.675
1966	0.977
1967	0.75
1968	0.872
1969	0.866
1970	1.003
1971	0.824
1972	0.659
1973	1.172
1974	0.995
1975	1.01
1976	0.913
1977	0.361
1978	0.946
1979	0.546
1980	0.87
1981	1.218
1982	0.992
1983	1.268