# northamerica_usa_sd002 - Buckhorn Mountain - 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/3931
#
# 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_sd002 - Buckhorn Mountain - 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: Buckhorn Mountain
#	Location:
#	Country: United States
#	Northernmost_Latitude: 43.78
#	Southernmost_Latitude: 43.78
#	Easternmost_Longitude: -103.6
#	Westernmost_Longitude: -103.6
#	Elevation: 1768 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_sd002B
#	Earliest_Year: 1668
#	Most_Recent_Year: 1991
#	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":"4.38474058152","T2":"16.1547892401","M1":"0.0227256292559","M2":"0.472344114162"}}
#--------------------
# Species
#	Species_Name: ponderosa pine
#	Species_Code: PIPO
#--------------------
# 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
1668	0.553
1669	1.014
1670	1.031
1671	0.957
1672	1.038
1673	1.224
1674	1.023
1675	0.985
1676	1.274
1677	1.155
1678	1.1
1679	0.633
1680	1.103
1681	0.902
1682	1.026
1683	1.42
1684	1.294
1685	1.105
1686	1.129
1687	1.182
1688	1.091
1689	0.929
1690	0.593
1691	0.809
1692	0.968
1693	0.824
1694	1.088
1695	1.485
1696	0.898
1697	0.893
1698	0.83
1699	1.255
1700	1.052
1701	0.875
1702	1.136
1703	0.854
1704	0.741
1705	0.746
1706	0.442
1707	1.069
1708	0.56
1709	0.978
1710	1.147
1711	0.648
1712	0.859
1713	1.139
1714	0.933
1715	1.056
1716	1.143
1717	0.641
1718	0.512
1719	1.291
1720	0.842
1721	0.608
1722	0.992
1723	0.951
1724	0.736
1725	1.032
1726	1.517
1727	1.279
1728	1.065
1729	1.313
1730	0.896
1731	0.997
1732	1.02
1733	1.272
1734	0.581
1735	0.652
1736	0.489
1737	1.064
1738	1.313
1739	1.22
1740	1.419
1741	0.533
1742	0.724
1743	0.687
1744	0.982
1745	0.579
1746	0.8
1747	0.843
1748	1.205
1749	0.763
1750	1.031
1751	1.062
1752	1.3
1753	0.938
1754	1.67
1755	0.969
1756	0.317
1757	0.331
1758	0.523
1759	0.42
1760	0.64
1761	0.982
1762	0.975
1763	1.186
1764	1.114
1765	1.461
1766	1.593
1767	1.508
1768	1.46
1769	1.141
1770	1.104
1771	1.409
1772	0.967
1773	1.344
1774	1.307
1775	1.115
1776	0.963
1777	1.198
1778	1.261
1779	0.822
1780	0.955
1781	0.873
1782	1.035
1783	1.208
1784	1.049
1785	0.66
1786	0.934
1787	1.0
1788	0.881
1789	0.82
1790	0.959
1791	0.712
1792	0.96
1793	1.075
1794	0.753
1795	0.89
1796	0.962
1797	0.854
1798	0.748
1799	1.068
1800	0.684
1801	1.033
1802	0.988
1803	1.197
1804	0.91
1805	0.819
1806	0.894
1807	0.723
1808	0.513
1809	0.552
1810	0.744
1811	1.022
1812	0.865
1813	1.068
1814	1.119
1815	0.836
1816	1.398
1817	0.747
1818	0.771
1819	0.877
1820	0.992
1821	1.114
1822	0.843
1823	0.583
1824	0.742
1825	1.133
1826	1.061
1827	1.151
1828	1.326
1829	1.517
1830	1.651
1831	1.204
1832	1.179
1833	1.507
1834	1.459
1835	1.059
1836	1.185
1837	1.216
1838	0.929
1839	1.038
1840	1.299
1841	1.196
1842	1.287
1843	1.207
1844	1.444
1845	0.967
1846	1.079
1847	1.028
1848	0.463
1849	1.183
1850	0.731
1851	0.851
1852	0.75
1853	1.185
1854	1.134
1855	0.922
1856	0.515
1857	0.863
1858	1.226
1859	0.88
1860	0.681
1861	0.724
1862	1.027
1863	0.428
1864	0.643
1865	0.641
1866	0.661
1867	0.695
1868	0.759
1869	0.962
1870	0.582
1871	0.681
1872	0.431
1873	0.813
1874	0.813
1875	0.891
1876	0.525
1877	0.702
1878	1.033
1879	0.947
1880	0.368
1881	0.644
1882	1.066
1883	1.046
1884	0.954
1885	1.224
1886	1.294
1887	1.287
1888	1.603
1889	1.349
1890	1.137
1891	1.285
1892	1.102
1893	0.847
1894	1.073
1895	0.696
1896	0.363
1897	0.667
1898	0.719
1899	0.912
1900	0.833
1901	0.832
1902	1.001
1903	1.061
1904	1.222
1905	1.185
1906	1.198
1907	1.506
1908	1.35
1909	1.393
1910	0.747
1911	0.184
1912	0.949
1913	0.996
1914	1.033
1915	1.207
1916	0.999
1917	0.754
1918	1.015
1919	0.756
1920	0.723
1921	0.806
1922	0.963
1923	0.942
1924	0.728
1925	0.866
1926	0.652
1927	0.902
1928	0.739
1929	0.832
1930	0.82
1931	0.631
1932	1.114
1933	0.949
1934	0.269
1935	0.756
1936	0.748
1937	0.949
1938	1.098
1939	0.331
1940	0.641
1941	1.121
1942	1.21
1943	1.274
1944	1.351
1945	1.496
1946	1.414
1947	1.482
1948	0.803
1949	1.119
1950	0.894
1951	0.772
1952	0.828
1953	1.028
1954	0.633
1955	1.181
1956	1.136
1957	1.105
1958	1.136
1959	0.993
1960	0.863
1961	0.574
1962	1.033
1963	1.401
1964	1.276
1965	1.589
1966	0.997
1967	1.232
1968	1.216
1969	1.381
1970	1.247
1971	1.235
1972	1.524
1973	1.46
1974	0.881
1975	1.139
1976	0.853
1977	0.543
1978	0.918
1979	0.867
1980	0.702
1981	1.151
1982	1.335
1983	1.44
1984	1.885
1985	0.212
1986	1.54
1987	1.163
1988	0.662
1989	0.892
1990	1.095
1991	1.11