# northamerica_usa_az091 - S P Mountain - Breitenmoser Tree Ring Chronology Data
#-----------------------------------------------------------------------
#		World Data Center for Paleoclimatology, Boulder
#				and
#		NOAA Paleoclimatology Program
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# 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.
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# 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/3101
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# 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_az091 - S P 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.
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# 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
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# Site_Information
#	Site_Name: S P Mountain
#	Location:
#	Country: United States
#	Northernmost_Latitude: 35.57
#	Southernmost_Latitude: 35.57
#	Easternmost_Longitude: -111.65
#	Westernmost_Longitude: -111.65
#	Elevation: 2134 m
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# Data_Collection
#	Collection_Name: northamerica_usa_az091B
#	Earliest_Year: 1719
#	Most_Recent_Year: 1972
#	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":"4.10552555409","T2":"15.5442210087","M1":"0.0236498589684","M2":"0.512606331184"}}
#--------------------
# Species
#	Species_Name: pinyon pine
#	Species_Code: PIED
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# Chronology:
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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
#
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# Data:
# Data lines follow (have no #)
# Data line format - tab-delimited text, variable short name as header
# Missing Values: nan
#
age	trsgi
1719	1.554
1720	2.172
1721	1.703
1722	1.146
1723	1.078
1724	0.742
1725	1.25
1726	1.763
1727	1.241
1728	0.443
1729	0.007
1730	0.794
1731	0.855
1732	0.805
1733	0.499
1734	0.685
1735	0.464
1736	1.317
1737	0.511
1738	0.87
1739	0.347
1740	0.502
1741	0.793
1742	0.207
1743	1.466
1744	1.438
1745	1.825
1746	1.713
1747	1.523
1748	0.127
1749	1.487
1750	0.646
1751	0.646
1752	0.569
1753	0.782
1754	1.16
1755	0.662
1756	1.211
1757	1.346
1758	1.644
1759	1.58
1760	1.59
1761	0.96
1762	1.135
1763	0.985
1764	1.643
1765	1.145
1766	1.672
1767	1.144
1768	1.611
1769	1.222
1770	1.12
1771	1.128
1772	0.949
1773	0.64
1774	1.247
1775	1.275
1776	1.269
1777	1.116
1778	0.311
1779	0.702
1780	0.39
1781	0.839
1782	1.007
1783	1.414
1784	1.247
1785	0.555
1786	0.631
1787	1.449
1788	0.727
1789	0.668
1790	0.393
1791	1.267
1792	1.053
1793	1.538
1794	1.062
1795	1.053
1796	0.784
1797	0.82
1798	0.224
1799	0.845
1800	0.326
1801	0.511
1802	0.537
1803	0.379
1804	0.701
1805	0.58
1806	0.382
1807	0.577
1808	0.621
1809	0.729
1810	0.608
1811	0.811
1812	0.839
1813	-0.008
1814	0.211
1815	0.472
1816	1.024
1817	1.131
1818	0.55
1819	0.647
1820	0.337
1821	1.001
1822	0.679
1823	0.722
1824	1.287
1825	1.344
1826	1.544
1827	1.233
1828	1.749
1829	0.827
1830	1.037
1831	1.461
1832	0.504
1833	1.235
1834	1.036
1835	1.189
1836	0.823
1837	1.06
1838	1.352
1839	1.514
1840	1.502
1841	1.161
1842	0.537
1843	0.647
1844	1.46
1845	0.976
1846	1.034
1847	0.415
1848	1.359
1849	1.491
1850	1.614
1851	1.173
1852	1.287
1853	1.322
1854	0.688
1855	1.32
1856	0.548
1857	-0.009
1858	0.918
1859	0.351
1860	0.58
1861	0.654
1862	1.271
1863	0.591
1864	0.412
1865	0.974
1866	1.414
1867	1.515
1868	1.51
1869	1.45
1870	1.616
1871	0.598
1872	0.742
1873	0.52
1874	0.95
1875	0.593
1876	0.627
1877	0.327
1878	0.632
1879	0.034
1880	0.281
1881	0.068
1882	1.019
1883	1.024
1884	1.617
1885	1.196
1886	1.298
1887	0.791
1888	1.451
1889	1.512
1890	2.038
1891	1.794
1892	1.737
1893	1.073
1894	1.588
1895	1.765
1896	0.999
1897	0.922
1898	1.043
1899	0.367
1900	0.56
1901	0.831
1902	0.214
1903	0.639
1904	0.012
1905	1.235
1906	1.467
1907	1.195
1908	1.491
1909	1.38
1910	1.229
1911	1.556
1912	1.293
1913	0.669
1914	1.064
1915	1.438
1916	1.282
1917	1.586
1918	1.407
1919	1.632
1920	1.815
1921	1.246
1922	1.169
1923	1.503
1924	1.944
1925	0.876
1926	0.96
1927	1.28
1928	1.534
1929	1.048
1930	1.279
1931	1.156
1932	1.338
1933	0.802
1934	1.338
1935	0.986
1936	0.43
1937	1.266
1938	1.188
1939	0.225
1940	0.391
1941	1.326
1942	0.964
1943	0.202
1944	1.252
1945	1.088
1946	1.038
1947	0.197
1948	0.967
1949	1.228
1950	0.547
1951	0.197
1952	1.112
1953	0.532
1954	0.433
1955	0.503
1956	0.583
1957	0.592
1958	0.719
1959	0.947
1960	0.717
1961	1.034
1962	0.907
1963	0.254
1964	0.501
1965	0.797
1966	1.043
1967	0.914
1968	1.004
1969	1.165
1970	1.231
1971	-0.008
1972	1.149