# northamerica_usa_az520 - Green 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/3360
#
# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: northamerica_usa_az520 - Green 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: Green Mountain
#	Location:
#	Country: United States
#	Northernmost_Latitude: 32.38
#	Southernmost_Latitude: 32.38
#	Easternmost_Longitude: -110.68
#	Westernmost_Longitude: -110.68
#	Elevation: 2194 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_az520B
#	Earliest_Year: 1664
#	Most_Recent_Year: 1986
#	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":"4.88491764941","T2":"17.0608092307","M1":"0.0221335351397","M2":"0.366162356435"}}
#--------------------
# 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
1664	1.113
1665	0.935
1666	0.779
1667	0.769
1668	0.701
1669	0.526
1670	0.232
1671	1.067
1672	0.628
1673	0.815
1674	0.858
1675	0.867
1676	0.749
1677	0.973
1678	0.967
1679	0.993
1680	1.024
1681	0.857
1682	1.109
1683	1.104
1684	0.829
1685	0.267
1686	0.926
1687	1.088
1688	1.331
1689	0.987
1690	1.365
1691	1.192
1692	1.185
1693	1.237
1694	1.411
1695	1.192
1696	0.602
1697	0.854
1698	0.723
1699	0.964
1700	1.023
1701	0.996
1702	0.935
1703	0.966
1704	0.824
1705	1.095
1706	1.029
1707	0.636
1708	0.671
1709	1.076
1710	1.244
1711	1.004
1712	0.72
1713	0.957
1714	1.056
1715	0.91
1716	0.8
1717	0.974
1718	1.134
1719	0.798
1720	1.03
1721	1.125
1722	0.846
1723	1.355
1724	0.946
1725	0.908
1726	1.069
1727	0.533
1728	0.688
1729	0.685
1730	0.809
1731	0.899
1732	1.095
1733	0.565
1734	1.195
1735	0.495
1736	1.08
1737	1.184
1738	1.415
1739	0.679
1740	1.042
1741	1.19
1742	0.873
1743	1.136
1744	0.886
1745	0.932
1746	1.293
1747	1.048
1748	0.488
1749	1.189
1750	1.096
1751	0.975
1752	0.218
1753	0.683
1754	1.172
1755	1.172
1756	1.06
1757	1.028
1758	1.177
1759	1.048
1760	0.875
1761	0.899
1762	1.179
1763	0.652
1764	1.093
1765	0.906
1766	1.186
1767	1.171
1768	1.11
1769	1.146
1770	1.028
1771	1.056
1772	0.963
1773	0.592
1774	0.782
1775	0.692
1776	0.643
1777	0.656
1778	0.903
1779	0.663
1780	1.176
1781	1.068
1782	0.928
1783	1.223
1784	1.646
1785	0.942
1786	1.037
1787	1.149
1788	1.094
1789	0.991
1790	1.065
1791	1.32
1792	1.196
1793	1.753
1794	1.006
1795	1.008
1796	1.448
1797	0.75
1798	0.639
1799	1.196
1800	1.205
1801	0.91
1802	1.085
1803	0.935
1804	1.121
1805	1.45
1806	1.179
1807	0.965
1808	0.955
1809	1.48
1810	1.249
1811	0.974
1812	1.073
1813	0.796
1814	1.479
1815	1.396
1816	1.535
1817	0.97
1818	0.656
1819	0.134
1820	0.28
1821	0.543
1822	0.331
1823	0.325
1824	0.64
1825	0.655
1826	1.176
1827	1.077
1828	1.071
1829	1.327
1830	1.112
1831	1.037
1832	1.212
1833	0.962
1834	0.702
1835	0.993
1836	0.821
1837	0.828
1838	0.926
1839	1.437
1840	1.159
1841	0.547
1842	0.708
1843	0.916
1844	1.309
1845	1.11
1846	0.938
1847	0.69
1848	1.092
1849	1.292
1850	1.276
1851	0.788
1852	1.4
1853	1.158
1854	1.131
1855	0.793
1856	1.282
1857	1.027
1858	1.459
1859	1.193
1860	1.164
1861	1.258
1862	1.038
1863	0.821
1864	0.489
1865	1.034
1866	1.406
1867	1.007
1868	1.288
1869	1.226
1870	1.174
1871	1.042
1872	1.279
1873	0.929
1874	1.113
1875	1.136
1876	1.017
1877	1.071
1878	1.711
1879	0.914
1880	0.852
1881	0.696
1882	0.805
1883	0.886
1884	0.95
1885	1.251
1886	0.694
1887	0.566
1888	0.667
1889	0.725
1890	0.827
1891	0.601
1892	0.603
1893	0.831
1894	0.503
1895	0.604
1896	0.907
1897	0.528
1898	1.084
1899	1.165
1900	0.68
1901	1.13
1902	0.441
1903	1.434
1904	0.372
1905	1.039
1906	0.857
1907	1.531
1908	1.785
1909	1.611
1910	0.633
1911	1.509
1912	1.2
1913	1.592
1914	1.8
1915	1.338
1916	1.642
1917	1.729
1918	1.373
1919	1.901
1920	2.194
1921	1.268
1922	1.657
1923	1.291
1924	1.225
1925	0.935
1926	1.116
1927	1.173
1928	0.828
1929	0.955
1930	1.273
1931	1.371
1932	1.614
1933	1.472
1934	0.11
1935	1.699
1936	1.082
1937	1.166
1938	1.199
1939	0.81
1940	1.147
1941	1.2
1942	0.997
1943	0.77
1944	0.974
1945	0.882
1946	0.526
1947	0.345
1948	0.163
1949	1.033
1950	0.967
1951	0.595
1952	0.724
1953	0.752
1954	0.914
1955	0.553
1956	-0.099
1957	0.884
1958	0.667
1959	0.544
1960	0.61
1961	0.077
1962	0.518
1963	0.525
1964	0.509
1965	0.776
1966	1.087
1967	1.143
1968	0.842
1969	0.995
1970	1.085
1971	0.215
1972	0.465
1973	0.569
1974	0.287
1975	1.415
1976	0.743
1977	0.846
1978	0.664
1979	0.825
1980	0.892
1981	0.793
1982	0.561
1983	0.882
1984	1.028
1985	0.836
1986	1.266