# northamerica_usa_nm029 - Turkey Springs - 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
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# Original_Source_URL:https://www.ncdc.noaa.gov/paleo/study/3115
#
# 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_nm029 - Turkey Springs - 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: Turkey Springs
#	Location:
#	Country: United States
#	Northernmost_Latitude: 35.4
#	Southernmost_Latitude: 35.4
#	Easternmost_Longitude: -108.52
#	Westernmost_Longitude: -108.52
#	Elevation: 2377 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_nm029B
#	Earliest_Year: 1640
#	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":"4.29884053142","T2":"15.9678816061","M1":"0.0231051807331","M2":"0.474053724716"}}
#--------------------
# 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
1640	1.148
1641	1.091
1642	1.134
1643	1.152
1644	1.004
1645	0.928
1646	0.989
1647	1.215
1648	0.64
1649	0.748
1650	1.003
1651	1.614
1652	1.845
1653	0.931
1654	0.712
1655	1.181
1656	1.476
1657	0.794
1658	0.49
1659	0.633
1660	0.837
1661	0.958
1662	1.032
1663	1.218
1664	0.832
1665	1.269
1666	0.855
1667	0.493
1668	0.191
1669	0.413
1670	0.273
1671	0.661
1672	1.038
1673	1.154
1674	1.0
1675	1.138
1676	0.648
1677	0.784
1678	0.412
1679	0.855
1680	1.335
1681	1.457
1682	1.288
1683	1.688
1684	0.469
1685	-0.011
1686	0.829
1687	0.966
1688	1.293
1689	1.325
1690	1.333
1691	0.994
1692	1.729
1693	1.532
1694	1.309
1695	1.367
1696	0.648
1697	1.349
1698	1.101
1699	1.985
1700	1.08
1701	1.978
1702	1.296
1703	1.168
1704	0.678
1705	1.098
1706	1.701
1707	0.862
1708	0.773
1709	1.281
1710	1.9
1711	1.48
1712	1.596
1713	0.901
1714	1.241
1715	0.878
1716	0.451
1717	0.714
1718	1.194
1719	0.918
1720	2.142
1721	0.88
1722	0.566
1723	1.223
1724	0.441
1725	1.662
1726	1.811
1727	0.976
1728	0.544
1729	-0.012
1730	0.631
1731	0.794
1732	1.258
1733	0.424
1734	0.711
1735	-0.012
1736	0.239
1737	0.482
1738	0.799
1739	0.276
1740	0.653
1741	0.629
1742	0.594
1743	1.276
1744	0.59
1745	1.342
1746	2.018
1747	2.005
1748	0.264
1749	1.662
1750	1.121
1751	0.538
1752	0.334
1753	0.185
1754	1.107
1755	0.556
1756	0.389
1757	0.6
1758	1.011
1759	1.241
1760	1.231
1761	0.889
1762	1.18
1763	0.486
1764	1.264
1765	0.509
1766	1.59
1767	0.925
1768	1.633
1769	1.539
1770	1.301
1771	2.13
1772	1.959
1773	0.575
1774	1.076
1775	1.108
1776	0.939
1777	0.399
1778	0.641
1779	0.573
1780	-0.012
1781	0.777
1782	0.153
1783	1.047
1784	1.497
1785	0.398
1786	0.606
1787	1.315
1788	0.36
1789	0.812
1790	1.026
1791	1.334
1792	1.501
1793	2.389
1794	1.43
1795	1.193
1796	0.904
1797	0.566
1798	0.689
1799	0.852
1800	0.354
1801	0.439
1802	0.517
1803	0.346
1804	1.001
1805	0.553
1806	0.217
1807	1.056
1808	1.046
1809	0.948
1810	0.588
1811	0.869
1812	0.715
1813	0.758
1814	0.994
1815	1.72
1816	2.028
1817	1.524
1818	0.583
1819	0.374
1820	0.5
1821	0.931
1822	-0.013
1823	0.026
1824	0.573
1825	0.659
1826	0.594
1827	0.458
1828	1.419
1829	0.589
1830	0.99
1831	0.761
1832	0.567
1833	1.007
1834	0.996
1835	1.262
1836	1.428
1837	1.345
1838	1.991
1839	2.32
1840	2.263
1841	2.071
1842	0.997
1843	0.976
1844	1.93
1845	0.694
1846	0.754
1847	-0.013
1848	0.882
1849	1.399
1850	1.356
1851	0.771
1852	1.429
1853	1.127
1854	0.83
1855	1.293
1856	1.143
1857	0.868
1858	1.63
1859	0.899
1860	1.386
1861	-0.013
1862	1.127
1863	0.71
1864	0.244
1865	0.815
1866	1.287
1867	1.296
1868	2.334
1869	1.685
1870	1.194
1871	0.462
1872	0.449
1873	0.618
1874	1.116
1875	1.003
1876	0.673
1877	1.124
1878	0.644
1879	0.266
1880	-0.013
1881	0.23
1882	0.967
1883	0.929
1884	1.249
1885	1.576
1886	1.257
1887	0.837
1888	1.783
1889	1.226
1890	1.142
1891	1.319
1892	0.79
1893	0.496
1894	0.332
1895	0.958
1896	0.539
1897	0.615
1898	0.733
1899	0.027
1900	-0.013
1901	0.454
1902	0.146
1903	0.422
1904	-0.013
1905	0.814
1906	1.025
1907	1.307
1908	1.396
1909	1.051
1910	1.113
1911	1.735
1912	1.228
1913	0.759
1914	1.4
1915	1.868
1916	2.616
1917	1.788
1918	1.57
1919	1.91
1920	1.721
1921	1.59
1922	1.166
1923	0.85
1924	1.407
1925	0.894
1926	1.33
1927	1.091
1928	0.843
1929	1.251
1930	1.242
1931	0.767
1932	1.31
1933	0.952
1934	0.674
1935	0.845
1936	0.829
1937	1.218
1938	1.082
1939	0.89
1940	0.793
1941	1.534
1942	1.633
1943	1.096
1944	1.046
1945	1.348
1946	0.897
1947	1.36
1948	1.498
1949	1.892
1950	0.835
1951	-0.012
1952	1.172
1953	0.643
1954	0.805
1955	0.385
1956	0.223
1957	0.905
1958	0.823
1959	0.363
1960	1.028
1961	0.539
1962	1.104
1963	0.849
1964	0.723
1965	1.489
1966	0.994
1967	0.702
1968	1.269
1969	1.175
1970	1.046
1971	0.304
1972	1.201