# northamerica_usa_ut520 - Round Valley Draw - 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/3442
#
# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: northamerica_usa_ut520 - Round Valley Draw - 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: Round Valley Draw
#	Location:
#	Country: United States
#	Northernmost_Latitude: 37.42
#	Southernmost_Latitude: 37.42
#	Easternmost_Longitude: -111.88
#	Westernmost_Longitude: -111.88
#	Elevation: 2000 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_ut520B
#	Earliest_Year: 1628
#	Most_Recent_Year: 1999
#	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":"4.30177763656","T2":"15.5821470952","M1":"0.0232048574224","M2":"0.475849379809"}}
#--------------------
# Species
#	Species_Name: pinyon pine
#	Species_Code: PIED
#--------------------
# 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
1628	1.103
1629	0.914
1630	0.978
1631	0.683
1632	0.286
1633	1.266
1634	1.07
1635	1.433
1636	0.989
1637	0.534
1638	0.508
1639	0.718
1640	1.224
1641	0.843
1642	0.914
1643	0.874
1644	1.087
1645	1.058
1646	0.961
1647	1.283
1648	1.036
1649	1.266
1650	0.641
1651	1.38
1652	1.061
1653	1.107
1654	0.249
1655	1.135
1656	1.262
1657	0.966
1658	0.8
1659	1.001
1660	1.321
1661	1.224
1662	1.253
1663	0.96
1664	1.24
1665	1.008
1666	0.963
1667	0.761
1668	0.822
1669	0.651
1670	0.198
1671	0.877
1672	1.144
1673	1.367
1674	1.804
1675	1.215
1676	0.911
1677	1.366
1678	1.365
1679	1.214
1680	1.333
1681	1.552
1682	1.506
1683	1.668
1684	1.056
1685	0.653
1686	0.349
1687	1.443
1688	1.141
1689	1.025
1690	0.801
1691	1.058
1692	1.244
1693	0.846
1694	1.11
1695	1.112
1696	0.953
1697	1.277
1698	0.527
1699	1.066
1700	0.982
1701	1.376
1702	1.269
1703	0.353
1704	1.227
1705	1.118
1706	0.881
1707	0.409
1708	0.897
1709	0.574
1710	0.995
1711	0.982
1712	1.045
1713	0.993
1714	1.038
1715	0.727
1716	0.749
1717	0.978
1718	1.117
1719	1.21
1720	1.628
1721	1.061
1722	0.105
1723	1.399
1724	1.461
1725	1.298
1726	1.497
1727	1.487
1728	0.692
1729	0.133
1730	1.421
1731	1.069
1732	0.992
1733	0.95
1734	1.405
1735	0.208
1736	0.542
1737	0.603
1738	1.197
1739	0.545
1740	0.747
1741	1.147
1742	0.432
1743	1.267
1744	0.886
1745	0.956
1746	1.194
1747	1.307
1748	0.474
1749	1.388
1750	0.833
1751	0.657
1752	0.922
1753	0.799
1754	0.839
1755	0.562
1756	1.018
1757	0.801
1758	1.016
1759	1.089
1760	1.23
1761	0.328
1762	0.863
1763	0.526
1764	1.341
1765	0.845
1766	1.123
1767	0.932
1768	1.24
1769	1.128
1770	0.773
1771	1.487
1772	1.03
1773	0.343
1774	0.761
1775	1.398
1776	0.729
1777	1.022
1778	0.818
1779	0.923
1780	0.279
1781	0.923
1782	0.76
1783	0.709
1784	1.505
1785	0.598
1786	1.055
1787	1.212
1788	0.327
1789	0.474
1790	0.664
1791	1.21
1792	1.021
1793	1.316
1794	0.908
1795	1.043
1796	0.384
1797	0.847
1798	0.776
1799	0.885
1800	0.635
1801	0.756
1802	1.114
1803	0.793
1804	1.12
1805	0.448
1806	0.767
1807	1.143
1808	0.559
1809	0.847
1810	0.961
1811	1.431
1812	1.071
1813	0.483
1814	1.023
1815	0.997
1816	1.33
1817	1.277
1818	0.704
1819	1.358
1820	0.26
1821	1.306
1822	0.516
1823	0.655
1824	0.874
1825	1.347
1826	1.388
1827	1.041
1828	1.559
1829	0.572
1830	0.949
1831	0.62
1832	1.356
1833	1.401
1834	0.98
1835	1.098
1836	1.337
1837	1.271
1838	1.51
1839	1.454
1840	1.428
1841	0.692
1842	0.92
1843	0.998
1844	1.174
1845	0.542
1846	1.168
1847	-0.012
1848	1.15
1849	1.281
1850	1.026
1851	1.014
1852	1.272
1853	1.331
1854	0.571
1855	0.912
1856	0.828
1857	0.678
1858	0.421
1859	0.617
1860	0.463
1861	0.275
1862	1.245
1863	0.685
1864	0.339
1865	0.905
1866	1.257
1867	1.278
1868	1.549
1869	1.383
1870	0.825
1871	0.338
1872	1.323
1873	0.684
1874	1.03
1875	1.173
1876	0.866
1877	0.889
1878	0.853
1879	0.349
1880	0.7
1881	0.547
1882	0.092
1883	-0.013
1884	1.011
1885	1.184
1886	0.973
1887	0.721
1888	1.109
1889	0.943
1890	1.36
1891	1.48
1892	1.419
1893	0.986
1894	0.402
1895	1.123
1896	-0.013
1897	1.237
1898	1.08
1899	-0.013
1900	0.717
1901	0.801
1902	0.279
1903	1.057
1904	0.531
1905	1.192
1906	1.361
1907	1.637
1908	1.375
1909	1.303
1910	1.672
1911	1.83
1912	1.595
1913	1.435
1914	2.064
1915	1.623
1916	1.802
1917	1.664
1918	1.168
1919	1.327
1920	1.533
1921	1.182
1922	1.484
1923	1.425
1924	0.82
1925	0.797
1926	1.318
1927	1.167
1928	1.409
1929	0.883
1930	0.948
1931	0.745
1932	1.235
1933	0.91
1934	0.661
1935	1.118
1936	0.54
1937	1.036
1938	1.442
1939	0.764
1940	1.092
1941	1.47
1942	1.286
1943	1.113
1944	1.279
1945	1.192
1946	0.708
1947	0.972
1948	1.084
1949	1.422
1950	0.905
1951	0.748
1952	1.45
1953	0.674
1954	1.073
1955	1.064
1956	0.392
1957	1.195
1958	1.286
1959	0.445
1960	1.068
1961	0.716
1962	0.943
1963	0.775
1964	0.727
1965	0.901
1966	0.859
1967	0.726
1968	1.046
1969	1.352
1970	0.724
1971	0.51
1972	0.914
1973	1.226
1974	0.677
1975	1.37
1976	1.203
1977	0.173
1978	1.303
1979	1.064
1980	0.879
1981	1.056
1982	0.984
1983	1.057
1984	0.671
1985	1.073
1986	0.989
1987	1.249
1988	1.06
1989	0.811
1990	0.483
1991	0.704
1992	1.156
1993	1.108
1994	0.853
1995	1.502
1996	0.63
1997	1.301
1998	1.268
1999	1.24