# northamerica_usa_mn005 - Saganaga Lake Summed - 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:
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# Online_Resource: https://www.ncdc.noaa.gov/paleo/study/24611
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# Original_Source_URL:https://www.ncdc.noaa.gov/paleo/study/5066
#
# 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_mn005 - Saganaga Lake Summed - 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: Saganaga Lake Summed
#	Location:
#	Country: United States
#	Northernmost_Latitude: 48.22
#	Southernmost_Latitude: 48.22
#	Easternmost_Longitude: -90.9
#	Westernmost_Longitude: -90.9
#	Elevation: 445 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_mn005B
#	Earliest_Year: 1677
#	Most_Recent_Year: 1972
#	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":"3.3305945585","T2":"13.034531777","M1":"0.0221784700941","M2":"0.596748026589"}}
#--------------------
# Species
#	Species_Name: red pine
#	Species_Code: PIRE
#--------------------
# Chronology:
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# 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
1677	0.521
1678	0.694
1679	1.062
1680	0.831
1681	0.909
1682	0.741
1683	1.1
1684	0.948
1685	1.069
1686	0.983
1687	1.157
1688	0.817
1689	0.856
1690	0.782
1691	0.755
1692	0.909
1693	1.01
1694	1.264
1695	1.284
1696	1.042
1697	0.933
1698	1.15
1699	0.909
1700	1.159
1701	1.019
1702	1.074
1703	1.315
1704	1.216
1705	1.276
1706	1.047
1707	1.116
1708	1.089
1709	1.004
1710	1.044
1711	1.215
1712	0.953
1713	1.152
1714	1.034
1715	1.155
1716	1.084
1717	0.802
1718	0.884
1719	0.902
1720	1.14
1721	0.813
1722	0.941
1723	1.183
1724	0.835
1725	0.906
1726	0.906
1727	0.847
1728	0.967
1729	1.055
1730	1.106
1731	1.031
1732	1.117
1733	1.025
1734	1.139
1735	0.934
1736	0.413
1737	0.907
1738	0.936
1739	0.388
1740	0.89
1741	0.662
1742	0.44
1743	0.546
1744	0.748
1745	0.854
1746	1.13
1747	1.222
1748	1.284
1749	1.281
1750	1.226
1751	0.971
1752	1.125
1753	1.004
1754	0.99
1755	0.76
1756	1.072
1757	0.808
1758	0.808
1759	0.908
1760	0.587
1761	0.681
1762	1.102
1763	0.937
1764	0.782
1765	1.107
1766	0.845
1767	1.247
1768	0.966
1769	0.992
1770	0.971
1771	0.902
1772	0.995
1773	0.838
1774	0.959
1775	0.961
1776	0.538
1777	1.016
1778	1.318
1779	1.271
1780	0.811
1781	1.188
1782	1.06
1783	1.171
1784	1.128
1785	0.908
1786	0.793
1787	1.304
1788	1.105
1789	1.107
1790	0.96
1791	0.875
1792	0.921
1793	1.09
1794	0.79
1795	0.845
1796	0.909
1797	0.769
1798	0.799
1799	0.94
1800	0.849
1801	1.08
1802	1.408
1803	1.213
1804	0.331
1805	1.046
1806	0.751
1807	0.66
1808	0.666
1809	0.703
1810	0.831
1811	0.962
1812	0.919
1813	1.132
1814	1.362
1815	1.397
1816	1.245
1817	1.291
1818	0.973
1819	1.519
1820	1.457
1821	0.884
1822	1.514
1823	1.148
1824	1.085
1825	1.295
1826	1.292
1827	1.41
1828	1.686
1829	1.048
1830	1.311
1831	1.158
1832	1.4
1833	1.361
1834	1.777
1835	1.116
1836	1.289
1837	0.999
1838	1.136
1839	0.89
1840	0.719
1841	1.039
1842	1.239
1843	1.141
1844	1.205
1845	1.087
1846	0.799
1847	1.214
1848	1.326
1849	1.224
1850	1.185
1851	1.14
1852	0.938
1853	0.579
1854	1.186
1855	0.738
1856	1.131
1857	1.042
1858	1.159
1859	1.24
1860	0.879
1861	1.119
1862	0.635
1863	0.6
1864	0.413
1865	0.748
1866	0.473
1867	0.795
1868	0.764
1869	0.726
1870	0.821
1871	0.564
1872	0.969
1873	1.025
1874	0.678
1875	0.573
1876	0.876
1877	1.086
1878	0.891
1879	0.714
1880	0.897
1881	0.948
1882	0.555
1883	0.693
1884	0.716
1885	0.956
1886	0.629
1887	0.867
1888	0.888
1889	0.796
1890	0.739
1891	0.745
1892	0.875
1893	0.683
1894	0.722
1895	1.22
1896	1.209
1897	1.062
1898	1.278
1899	1.365
1900	0.941
1901	1.353
1902	1.069
1903	0.845
1904	1.123
1905	1.364
1906	0.962
1907	0.951
1908	1.304
1909	0.743
1910	0.268
1911	0.684
1912	0.823
1913	0.745
1914	0.728
1915	1.05
1916	1.001
1917	1.048
1918	1.011
1919	0.811
1920	1.038
1921	0.601
1922	0.784
1923	0.698
1924	0.464
1925	0.974
1926	1.03
1927	0.965
1928	1.079
1929	0.852
1930	1.106
1931	0.713
1932	0.787
1933	0.952
1934	0.698
1935	0.944
1936	0.732
1937	0.66
1938	0.927
1939	0.905
1940	0.78
1941	0.749
1942	0.936
1943	0.801
1944	1.034
1945	1.025
1946	0.953
1947	1.104
1948	0.656
1949	0.941
1950	1.006
1951	1.021
1952	1.038
1953	1.188
1954	0.928
1955	0.858
1956	1.028
1957	0.956
1958	0.682
1959	0.649
1960	0.814
1961	0.711
1962	1.133
1963	1.046
1964	1.18
1965	1.505
1966	1.096
1967	1.28
1968	1.44
1969	1.195
1970	0.934
1971	1.005
1972	1.09