# northamerica_usa_nv052 - Moody 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/4979
#
# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: northamerica_usa_nv052 - Moody 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: Moody Mountain
#	Location:
#	Country: United States
#	Northernmost_Latitude: 39.1
#	Southernmost_Latitude: 39.1
#	Easternmost_Longitude: -115.8
#	Westernmost_Longitude: -115.8
#	Elevation: 2004 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_nv052B
#	Earliest_Year: 1626
#	Most_Recent_Year: 1982
#	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":"3.32846020692","T2":"15.4334315773","M1":"0.0238703105281","M2":"0.501997474966"}}
#--------------------
# Species
#	Species_Name: singleleaf pinyon pine
#	Species_Code: PIMO
#--------------------
# 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
1626	0.507
1627	0.815
1628	1.247
1629	0.503
1630	1.012
1631	0.512
1632	0.404
1633	1.108
1634	0.609
1635	1.223
1636	1.084
1637	0.455
1638	0.663
1639	0.723
1640	1.113
1641	1.455
1642	1.549
1643	1.351
1644	1.202
1645	0.945
1646	0.559
1647	0.959
1648	1.088
1649	1.19
1650	1.236
1651	1.464
1652	1.282
1653	0.773
1654	0.249
1655	0.212
1656	0.645
1657	0.627
1658	0.532
1659	0.771
1660	0.992
1661	1.281
1662	1.074
1663	1.254
1664	1.2
1665	1.221
1666	1.136
1667	0.349
1668	0.853
1669	0.835
1670	0.278
1671	0.608
1672	0.915
1673	0.648
1674	1.385
1675	1.081
1676	1.294
1677	1.166
1678	0.897
1679	1.523
1680	1.333
1681	1.063
1682	1.73
1683	1.838
1684	1.42
1685	1.8
1686	0.521
1687	1.61
1688	1.441
1689	0.324
1690	0.54
1691	0.81
1692	1.216
1693	1.596
1694	1.731
1695	1.124
1696	1.822
1697	1.362
1698	0.57
1699	1.253
1700	1.035
1701	1.085
1702	1.457
1703	0.447
1704	0.903
1705	1.428
1706	0.604
1707	-0.023
1708	0.57
1709	0.714
1710	0.905
1711	1.631
1712	1.226
1713	1.617
1714	1.11
1715	0.615
1716	0.321
1717	0.821
1718	0.817
1719	1.317
1720	1.428
1721	0.688
1722	0.639
1723	1.554
1724	1.093
1725	1.775
1726	2.364
1727	2.539
1728	1.606
1729	0.196
1730	1.21
1731	1.382
1732	1.348
1733	0.129
1734	1.167
1735	0.018
1736	0.51
1737	0.774
1738	0.84
1739	0.455
1740	0.861
1741	1.031
1742	0.816
1743	1.107
1744	1.133
1745	1.502
1746	1.697
1747	1.851
1748	0.741
1749	1.813
1750	0.944
1751	0.981
1752	0.027
1753	0.457
1754	0.791
1755	0.561
1756	0.792
1757	0.604
1758	1.063
1759	0.873
1760	1.342
1761	1.111
1762	0.795
1763	0.575
1764	0.511
1765	0.297
1766	1.028
1767	0.905
1768	0.459
1769	1.09
1770	0.667
1771	1.14
1772	0.613
1773	0.748
1774	1.088
1775	1.444
1776	1.28
1777	0.384
1778	0.381
1779	0.98
1780	0.257
1781	0.451
1782	0.047
1783	0.384
1784	0.829
1785	0.444
1786	1.09
1787	1.185
1788	0.145
1789	0.962
1790	0.892
1791	1.096
1792	1.107
1793	1.312
1794	0.748
1795	0.205
1796	0.715
1797	0.929
1798	0.209
1799	1.047
1800	0.526
1801	0.973
1802	1.28
1803	1.722
1804	0.803
1805	1.216
1806	0.823
1807	1.058
1808	0.25
1809	0.414
1810	1.125
1811	1.199
1812	1.181
1813	-0.028
1814	0.936
1815	0.634
1816	1.381
1817	1.418
1818	1.484
1819	1.502
1820	1.054
1821	1.678
1822	0.627
1823	0.915
1824	0.463
1825	1.41
1826	1.095
1827	0.961
1828	1.374
1829	1.228
1830	1.267
1831	1.02
1832	1.662
1833	1.332
1834	0.295
1835	0.852
1836	0.686
1837	1.611
1838	1.975
1839	2.085
1840	1.907
1841	0.844
1842	1.275
1843	0.486
1844	1.526
1845	0.493
1846	0.705
1847	0.394
1848	0.824
1849	1.269
1850	1.349
1851	1.058
1852	1.157
1853	1.495
1854	1.568
1855	0.897
1856	0.211
1857	0.366
1858	0.506
1859	0.571
1860	0.829
1861	0.84
1862	1.084
1863	0.494
1864	0.489
1865	0.2
1866	1.29
1867	1.074
1868	1.824
1869	0.824
1870	0.833
1871	0.249
1872	0.56
1873	0.749
1874	1.125
1875	0.803
1876	0.988
1877	0.782
1878	0.617
1879	0.003
1880	0.784
1881	0.574
1882	0.398
1883	0.385
1884	1.177
1885	1.228
1886	0.844
1887	0.694
1888	0.947
1889	0.488
1890	1.148
1891	1.065
1892	1.035
1893	0.534
1894	0.681
1895	0.977
1896	0.484
1897	0.588
1898	0.972
1899	-0.027
1900	0.606
1901	0.604
1902	0.665
1903	0.931
1904	1.115
1905	1.082
1906	1.369
1907	1.935
1908	1.562
1909	1.016
1910	1.276
1911	1.445
1912	0.835
1913	1.783
1914	1.432
1915	1.136
1916	1.091
1917	1.096
1918	0.866
1919	1.252
1920	1.342
1921	1.376
1922	1.397
1923	1.057
1924	0.672
1925	1.166
1926	1.029
1927	0.38
1928	1.054
1929	0.623
1930	1.302
1931	0.149
1932	1.28
1933	1.282
1934	-0.027
1935	0.923
1936	0.217
1937	1.266
1938	1.379
1939	0.989
1940	1.411
1941	1.994
1942	1.861
1943	1.293
1944	1.531
1945	1.64
1946	1.826
1947	1.054
1948	0.964
1949	1.56
1950	0.641
1951	0.575
1952	1.571
1953	0.817
1954	0.754
1955	1.129
1956	0.587
1957	0.946
1958	1.039
1959	0.281
1960	0.395
1961	0.264
1962	1.082
1963	0.61
1964	1.058
1965	0.778
1966	0.956
1967	1.01
1968	0.459
1969	1.587
1970	0.905
1971	1.425
1972	0.62
1973	1.29
1974	0.453
1975	1.08
1976	0.769
1977	0.609
1978	1.611
1979	1.403
1980	1.294
1981	1.733
1982	1.425