# northamerica_usa_co549 - Timberline Pass - 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/3414
#
# 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_co549 - Timberline Pass - 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: Timberline Pass
#	Location:
#	Country: United States
#	Northernmost_Latitude: 40.37
#	Southernmost_Latitude: 40.37
#	Easternmost_Longitude: -105.67
#	Westernmost_Longitude: -105.67
#	Elevation: 3505 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_co549B
#	Earliest_Year: 1653
#	Most_Recent_Year: 1987
#	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":"5.33387638414","T2":"17.0759547327","M1":"0.0222669580146","M2":"0.394479671603"}}
#--------------------
# Species
#	Species_Name: Engelmann spruce
#	Species_Code: PCEN
#--------------------
# 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
1653	0.926
1654	0.953
1655	1.056
1656	0.859
1657	0.799
1658	0.801
1659	0.745
1660	0.856
1661	1.022
1662	0.927
1663	0.795
1664	0.615
1665	0.611
1666	0.776
1667	0.719
1668	0.605
1669	0.719
1670	0.675
1671	0.696
1672	0.75
1673	0.659
1674	0.894
1675	1.048
1676	0.955
1677	0.69
1678	0.629
1679	0.89
1680	0.933
1681	1.161
1682	1.296
1683	1.186
1684	1.143
1685	1.163
1686	1.105
1687	0.898
1688	1.029
1689	1.213
1690	1.22
1691	0.923
1692	1.167
1693	1.117
1694	1.065
1695	1.079
1696	1.039
1697	0.997
1698	1.145
1699	1.012
1700	0.99
1701	1.161
1702	1.092
1703	1.204
1704	0.922
1705	0.931
1706	0.932
1707	0.824
1708	0.924
1709	0.916
1710	1.231
1711	1.119
1712	1.086
1713	0.971
1714	0.967
1715	1.17
1716	0.88
1717	1.039
1718	1.04
1719	1.035
1720	1.11
1721	1.071
1722	1.011
1723	0.88
1724	1.102
1725	0.95
1726	1.151
1727	1.078
1728	1.014
1729	0.879
1730	1.007
1731	1.094
1732	1.039
1733	1.149
1734	1.153
1735	0.92
1736	0.737
1737	0.996
1738	1.07
1739	1.135
1740	0.831
1741	0.812
1742	0.827
1743	0.939
1744	0.966
1745	0.926
1746	0.982
1747	1.189
1748	0.885
1749	1.04
1750	1.137
1751	0.978
1752	0.91
1753	1.147
1754	1.072
1755	0.884
1756	0.908
1757	0.963
1758	0.836
1759	0.865
1760	0.815
1761	0.704
1762	1.217
1763	0.745
1764	0.78
1765	1.065
1766	0.892
1767	1.097
1768	0.91
1769	0.697
1770	0.702
1771	1.024
1772	1.005
1773	1.113
1774	1.044
1775	1.13
1776	0.82
1777	0.856
1778	0.785
1779	0.649
1780	0.951
1781	0.781
1782	0.718
1783	0.827
1784	0.874
1785	0.954
1786	0.692
1787	0.883
1788	0.884
1789	0.704
1790	0.706
1791	0.681
1792	1.128
1793	0.87
1794	0.839
1795	1.072
1796	1.113
1797	1.171
1798	1.174
1799	1.288
1800	1.188
1801	1.219
1802	1.174
1803	1.139
1804	1.229
1805	0.992
1806	1.118
1807	1.09
1808	0.975
1809	0.862
1810	0.911
1811	1.104
1812	1.252
1813	1.063
1814	1.134
1815	1.203
1816	1.134
1817	1.151
1818	1.224
1819	1.263
1820	0.848
1821	0.993
1822	0.953
1823	0.953
1824	0.744
1825	1.071
1826	1.026
1827	1.159
1828	1.272
1829	1.354
1830	1.031
1831	1.121
1832	1.17
1833	1.442
1834	1.159
1835	0.91
1836	0.826
1837	1.241
1838	1.067
1839	0.905
1840	0.921
1841	1.155
1842	0.978
1843	1.301
1844	1.061
1845	0.693
1846	0.775
1847	0.483
1848	0.599
1849	0.864
1850	0.946
1851	0.707
1852	0.727
1853	0.85
1854	0.804
1855	0.931
1856	0.951
1857	0.824
1858	1.055
1859	1.314
1860	1.261
1861	1.123
1862	0.995
1863	1.082
1864	0.969
1865	0.961
1866	1.263
1867	1.591
1868	1.109
1869	1.109
1870	1.135
1871	1.143
1872	0.924
1873	1.313
1874	1.358
1875	1.167
1876	1.632
1877	1.18
1878	0.993
1879	0.952
1880	0.784
1881	1.23
1882	0.707
1883	0.802
1884	0.853
1885	1.121
1886	1.105
1887	0.898
1888	1.107
1889	1.021
1890	0.782
1891	0.801
1892	1.163
1893	0.797
1894	1.035
1895	0.89
1896	1.132
1897	1.107
1898	1.306
1899	1.051
1900	1.253
1901	1.122
1902	0.769
1903	0.997
1904	0.774
1905	1.051
1906	0.712
1907	1.123
1908	1.004
1909	1.203
1910	1.019
1911	0.91
1912	1.149
1913	1.183
1914	1.301
1915	1.078
1916	1.229
1917	1.38
1918	1.241
1919	1.253
1920	0.977
1921	1.034
1922	0.901
1923	0.891
1924	1.011
1925	0.836
1926	0.923
1927	1.069
1928	1.097
1929	1.346
1930	1.161
1931	1.085
1932	0.953
1933	1.044
1934	0.787
1935	0.764
1936	0.915
1937	0.786
1938	0.701
1939	0.789
1940	0.859
1941	0.684
1942	0.879
1943	0.9
1944	0.716
1945	0.774
1946	0.881
1947	0.918
1948	0.778
1949	0.864
1950	0.806
1951	1.271
1952	0.989
1953	0.819
1954	0.691
1955	0.758
1956	0.783
1957	0.85
1958	0.875
1959	0.715
1960	0.885
1961	0.919
1962	1.031
1963	1.058
1964	1.097
1965	1.166
1966	1.275
1967	0.836
1968	0.955
1969	0.974
1970	0.826
1971	0.875
1972	0.856
1973	1.058
1974	1.122
1975	1.169
1976	0.899
1977	0.968
1978	0.828
1979	1.042
1980	0.936
1981	0.878
1982	0.765
1983	0.984
1984	0.919
1985	0.953
1986	1.024
1987	1.34