# northamerica_usa_wa074 - Hart's Pass N2 - 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/4130
#
# 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_wa074 - Hart's Pass N2 - 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: Hart's Pass N2
#	Location:
#	Country: United States
#	Northernmost_Latitude: 48.73
#	Southernmost_Latitude: 48.73
#	Easternmost_Longitude: -120.65
#	Westernmost_Longitude: -120.65
#	Elevation: 2000 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_wa074B
#	Earliest_Year: 1670
#	Most_Recent_Year: 1990
#	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":"5.90069828028","T2":"17.4837977835","M1":"0.0227849506635","M2":"0.376318632994"}}
#--------------------
# Species
#	Species_Name: Engelmann spruce
#	Species_Code: PCEN
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# Chronology:
#
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#
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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
1670	0.859
1671	0.972
1672	1.142
1673	1.333
1674	1.208
1675	1.129
1676	0.92
1677	1.288
1678	1.153
1679	1.263
1680	0.965
1681	0.807
1682	1.04
1683	1.016
1684	0.988
1685	0.936
1686	0.912
1687	1.139
1688	0.848
1689	0.97
1690	0.961
1691	0.927
1692	0.94
1693	0.752
1694	0.497
1695	0.751
1696	0.76
1697	0.747
1698	0.977
1699	0.762
1700	0.821
1701	0.719
1702	0.702
1703	0.71
1704	0.635
1705	1.071
1706	0.845
1707	0.9
1708	0.911
1709	0.735
1710	0.989
1711	0.881
1712	1.022
1713	0.844
1714	0.967
1715	0.562
1716	0.72
1717	0.981
1718	0.896
1719	0.879
1720	0.721
1721	0.98
1722	1.0
1723	0.904
1724	0.905
1725	0.951
1726	1.073
1727	1.071
1728	1.11
1729	1.247
1730	1.318
1731	1.167
1732	1.096
1733	0.98
1734	1.143
1735	1.133
1736	0.982
1737	0.893
1738	0.994
1739	1.08
1740	1.026
1741	1.109
1742	1.019
1743	1.082
1744	1.078
1745	1.303
1746	0.903
1747	1.2
1748	1.221
1749	1.219
1750	1.029
1751	1.117
1752	0.653
1753	1.047
1754	0.986
1755	0.893
1756	1.319
1757	1.281
1758	0.981
1759	0.988
1760	0.932
1761	0.98
1762	0.991
1763	1.02
1764	1.121
1765	0.828
1766	1.034
1767	1.272
1768	1.292
1769	1.353
1770	1.061
1771	1.152
1772	1.0
1773	1.428
1774	1.089
1775	0.653
1776	0.902
1777	1.074
1778	1.118
1779	1.11
1780	0.984
1781	1.215
1782	0.885
1783	1.281
1784	1.009
1785	1.045
1786	1.188
1787	1.193
1788	1.116
1789	0.905
1790	1.253
1791	1.029
1792	1.137
1793	0.964
1794	1.328
1795	1.375
1796	1.492
1797	1.258
1798	1.323
1799	0.799
1800	0.857
1801	1.1
1802	1.027
1803	0.957
1804	1.057
1805	1.013
1806	0.916
1807	1.093
1808	0.995
1809	1.089
1810	0.887
1811	1.312
1812	1.169
1813	0.992
1814	0.778
1815	0.848
1816	0.919
1817	1.135
1818	0.871
1819	0.892
1820	1.121
1821	1.068
1822	1.086
1823	1.061
1824	0.695
1825	0.949
1826	0.992
1827	1.061
1828	0.929
1829	1.058
1830	1.09
1831	1.201
1832	0.538
1833	0.985
1834	0.995
1835	0.937
1836	0.748
1837	0.803
1838	0.499
1839	0.94
1840	1.022
1841	1.007
1842	1.03
1843	0.962
1844	0.806
1845	0.849
1846	0.947
1847	0.705
1848	1.127
1849	0.866
1850	0.895
1851	1.042
1852	1.007
1853	0.966
1854	0.793
1855	0.978
1856	0.649
1857	0.849
1858	0.888
1859	1.156
1860	0.926
1861	0.849
1862	0.802
1863	1.238
1864	0.881
1865	1.228
1866	0.951
1867	0.782
1868	0.854
1869	0.919
1870	0.791
1871	0.964
1872	1.049
1873	1.039
1874	0.904
1875	1.041
1876	0.829
1877	0.812
1878	0.784
1879	0.841
1880	0.774
1881	0.734
1882	0.86
1883	0.931
1884	0.777
1885	0.945
1886	1.035
1887	0.969
1888	0.835
1889	0.924
1890	0.937
1891	1.088
1892	0.793
1893	0.951
1894	0.926
1895	0.835
1896	1.01
1897	0.789
1898	1.082
1899	0.843
1900	0.933
1901	1.091
1902	0.976
1903	1.074
1904	1.227
1905	1.105
1906	0.953
1907	1.104
1908	1.231
1909	0.965
1910	0.991
1911	1.027
1912	0.942
1913	1.006
1914	1.123
1915	0.914
1916	0.715
1917	1.081
1918	1.094
1919	1.092
1920	1.172
1921	1.07
1922	1.314
1923	1.027
1924	0.938
1925	1.015
1926	0.903
1927	0.918
1928	0.971
1929	1.047
1930	1.137
1931	1.168
1932	1.036
1933	1.352
1934	1.201
1935	1.274
1936	1.582
1937	1.466
1938	1.553
1939	1.266
1940	1.432
1941	1.222
1942	1.088
1943	1.081
1944	1.341
1945	1.559
1946	1.1
1947	1.118
1948	1.289
1949	1.172
1950	1.291
1951	1.181
1952	0.999
1953	0.97
1954	0.98
1955	1.061
1956	0.669
1957	0.681
1958	1.226
1959	1.081
1960	1.192
1961	1.101
1962	0.774
1963	0.824
1964	0.854
1965	0.987
1966	0.807
1967	1.014
1968	0.76
1969	0.712
1970	1.053
1971	0.879
1972	0.59
1973	0.815
1974	0.727
1975	0.848
1976	0.737
1977	0.894
1978	0.741
1979	0.766
1980	0.65
1981	0.754
1982	0.734
1983	0.583
1984	0.894
1985	0.872
1986	0.697
1987	0.841
1988	0.785
1989	0.797
1990	0.894