# northamerica_usa_or070 - Sheridan Mountain Low - 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/4193
#
# 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_or070 - Sheridan Mountain Low - 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: Sheridan Mountain Low
#	Location:
#	Country: United States
#	Northernmost_Latitude: 43.83
#	Southernmost_Latitude: 43.83
#	Easternmost_Longitude: -121.67
#	Westernmost_Longitude: -121.67
#	Elevation: 1755 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_or070B
#	Earliest_Year: 1652
#	Most_Recent_Year: 1993
#	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":"5.03081968597","T2":"14.5760555227","M1":"0.0221501686995","M2":"0.48789650354"}}
#--------------------
# Species
#	Species_Name: mountain hemlock
#	Species_Code: TSME
#--------------------
# 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
1652	1.192
1653	0.959
1654	1.031
1655	0.918
1656	1.195
1657	1.085
1658	1.062
1659	1.128
1660	1.13
1661	1.238
1662	0.865
1663	0.907
1664	0.888
1665	1.034
1666	1.18
1667	1.242
1668	0.942
1669	1.02
1670	1.121
1671	1.257
1672	0.872
1673	1.113
1674	1.14
1675	1.004
1676	0.882
1677	0.982
1678	0.887
1679	0.967
1680	1.04
1681	1.309
1682	1.075
1683	0.925
1684	0.904
1685	0.983
1686	1.041
1687	1.183
1688	1.026
1689	0.955
1690	1.085
1691	0.915
1692	1.275
1693	1.134
1694	1.119
1695	0.895
1696	0.703
1697	0.791
1698	0.837
1699	0.715
1700	0.934
1701	0.689
1702	0.734
1703	0.639
1704	0.601
1705	0.587
1706	0.524
1707	0.4
1708	0.588
1709	0.607
1710	0.841
1711	0.87
1712	0.861
1713	0.856
1714	0.801
1715	0.768
1716	0.994
1717	0.829
1718	0.811
1719	0.808
1720	0.97
1721	0.839
1722	0.956
1723	0.911
1724	1.043
1725	0.937
1726	1.247
1727	1.235
1728	1.084
1729	0.957
1730	0.955
1731	1.095
1732	1.19
1733	1.274
1734	1.209
1735	1.13
1736	1.084
1737	1.131
1738	1.122
1739	1.008
1740	1.052
1741	1.116
1742	1.126
1743	1.526
1744	1.258
1745	1.236
1746	1.132
1747	0.929
1748	0.771
1749	0.635
1750	0.81
1751	0.885
1752	0.737
1753	0.703
1754	0.813
1755	0.781
1756	0.862
1757	0.685
1758	0.746
1759	0.738
1760	0.791
1761	0.871
1762	1.015
1763	0.9
1764	0.819
1765	0.816
1766	0.814
1767	0.85
1768	0.969
1769	0.954
1770	0.861
1771	0.971
1772	0.834
1773	1.096
1774	0.974
1775	0.888
1776	0.86
1777	0.93
1778	0.87
1779	0.997
1780	1.014
1781	0.999
1782	0.925
1783	0.858
1784	0.761
1785	0.733
1786	0.936
1787	0.759
1788	0.992
1789	0.94
1790	0.99
1791	1.054
1792	1.108
1793	0.839
1794	1.16
1795	0.984
1796	1.064
1797	1.172
1798	1.133
1799	1.034
1800	0.987
1801	0.827
1802	1.057
1803	1.084
1804	0.958
1805	1.2
1806	1.035
1807	1.082
1808	0.957
1809	1.044
1810	0.517
1811	1.036
1812	1.052
1813	0.946
1814	1.087
1815	0.931
1816	0.967
1817	0.913
1818	0.869
1819	0.846
1820	0.849
1821	0.985
1822	1.067
1823	0.839
1824	0.744
1825	1.015
1826	0.996
1827	0.893
1828	0.905
1829	0.895
1830	0.874
1831	0.893
1832	0.756
1833	1.121
1834	1.207
1835	1.134
1836	1.124
1837	1.123
1838	1.145
1839	1.146
1840	0.773
1841	1.052
1842	1.093
1843	1.123
1844	0.949
1845	0.848
1846	0.95
1847	0.862
1848	1.136
1849	0.877
1850	0.961
1851	1.12
1852	1.225
1853	1.424
1854	1.686
1855	1.351
1856	0.942
1857	1.163
1858	1.204
1859	1.065
1860	1.294
1861	1.168
1862	0.911
1863	1.558
1864	1.276
1865	1.119
1866	0.963
1867	1.099
1868	1.56
1869	1.412
1870	1.134
1871	0.904
1872	0.896
1873	1.082
1874	1.185
1875	1.212
1876	0.898
1877	1.252
1878	1.218
1879	1.264
1880	0.863
1881	1.305
1882	1.326
1883	1.371
1884	0.95
1885	1.41
1886	1.386
1887	1.094
1888	1.415
1889	1.045
1890	0.947
1891	1.27
1892	1.319
1893	1.174
1894	1.135
1895	1.428
1896	0.854
1897	1.312
1898	1.353
1899	0.819
1900	1.357
1901	1.211
1902	1.084
1903	0.865
1904	0.947
1905	1.043
1906	0.954
1907	1.03
1908	1.147
1909	1.157
1910	1.444
1911	1.171
1912	1.149
1913	1.444
1914	1.379
1915	1.021
1916	0.657
1917	0.953
1918	0.688
1919	0.858
1920	0.981
1921	1.017
1922	0.939
1923	0.947
1924	1.0
1925	0.917
1926	0.801
1927	0.786
1928	0.992
1929	0.951
1930	0.903
1931	0.898
1932	0.816
1933	0.752
1934	0.673
1935	0.781
1936	0.752
1937	0.725
1938	0.897
1939	1.027
1940	0.794
1941	0.809
1942	0.839
1943	0.846
1944	0.82
1945	0.863
1946	0.768
1947	0.975
1948	0.844
1949	1.029
1950	1.265
1951	1.492
1952	1.093
1953	0.749
1954	1.094
1955	1.218
1956	1.147
1957	1.106
1958	1.124
1959	1.012
1960	0.996
1961	0.79
1962	0.824
1963	0.85
1964	0.993
1965	1.016
1966	1.145
1967	0.972
1968	0.68
1969	0.856
1970	0.97
1971	0.838
1972	0.789
1973	0.818
1974	0.846
1975	0.951
1976	0.678
1977	0.7
1978	0.759
1979	0.825
1980	0.759
1981	0.63
1982	0.634
1983	0.812
1984	0.895
1985	0.864
1986	0.838
1987	0.979
1988	0.966
1989	0.75
1990	1.034
1991	0.482
1992	0.706
1993	0.777