# northamerica_usa_nm579 - Sunspot - 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/4947
#
# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: northamerica_usa_nm579 - Sunspot - 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: Sunspot
#	Location:
#	Country: United States
#	Northernmost_Latitude: 32.8
#	Southernmost_Latitude: 32.8
#	Easternmost_Longitude: -105.8
#	Westernmost_Longitude: -105.8
#	Elevation: 2865 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_nm579B
#	Earliest_Year: 1646
#	Most_Recent_Year: 1992
#	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":"4.65004199695","T2":"17.0584820917","M1":"0.0233138260298","M2":"0.386284764334"}}
#--------------------
# Species
#	Species_Name: Douglas fir
#	Species_Code: PSME
#--------------------
# 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
1646	1.248
1647	0.883
1648	0.749
1649	0.721
1650	0.864
1651	1.366
1652	1.05
1653	0.956
1654	0.998
1655	1.2
1656	0.846
1657	1.047
1658	1.041
1659	1.119
1660	1.12
1661	1.436
1662	1.236
1663	0.992
1664	0.788
1665	1.097
1666	1.011
1667	0.448
1668	0.454
1669	0.852
1670	0.708
1671	1.075
1672	0.664
1673	0.785
1674	1.083
1675	1.047
1676	1.067
1677	1.333
1678	1.053
1679	1.064
1680	1.261
1681	1.102
1682	1.098
1683	1.155
1684	0.671
1685	0.434
1686	1.077
1687	1.112
1688	1.066
1689	1.377
1690	1.367
1691	0.95
1692	1.165
1693	1.019
1694	0.907
1695	0.965
1696	0.456
1697	1.151
1698	0.69
1699	1.331
1700	1.235
1701	1.32
1702	0.668
1703	0.823
1704	0.69
1705	0.43
1706	0.666
1707	0.584
1708	1.136
1709	0.765
1710	1.275
1711	0.909
1712	1.136
1713	1.053
1714	0.998
1715	0.66
1716	0.511
1717	0.931
1718	1.025
1719	0.682
1720	1.152
1721	1.358
1722	1.763
1723	1.169
1724	0.781
1725	0.939
1726	1.246
1727	1.138
1728	1.035
1729	0.753
1730	0.541
1731	0.616
1732	0.72
1733	0.368
1734	0.686
1735	0.73
1736	0.991
1737	0.919
1738	0.75
1739	0.39
1740	0.644
1741	0.963
1742	0.569
1743	1.391
1744	1.624
1745	1.76
1746	1.924
1747	1.875
1748	0.477
1749	1.397
1750	0.876
1751	1.522
1752	0.419
1753	1.08
1754	0.804
1755	0.846
1756	1.172
1757	1.234
1758	1.261
1759	1.182
1760	0.932
1761	0.95
1762	1.321
1763	0.487
1764	1.06
1765	1.095
1766	1.341
1767	1.103
1768	0.731
1769	1.141
1770	0.818
1771	1.07
1772	0.918
1773	0.373
1774	0.508
1775	0.834
1776	0.687
1777	0.611
1778	0.697
1779	0.742
1780	0.579
1781	0.873
1782	0.406
1783	1.166
1784	1.245
1785	0.767
1786	0.736
1787	0.937
1788	0.705
1789	0.258
1790	0.96
1791	1.095
1792	1.347
1793	1.886
1794	1.154
1795	0.959
1796	1.094
1797	0.867
1798	0.672
1799	1.21
1800	0.864
1801	0.791
1802	0.768
1803	0.86
1804	1.076
1805	0.861
1806	1.181
1807	1.516
1808	1.46
1809	1.198
1810	1.138
1811	1.148
1812	1.006
1813	0.786
1814	0.971
1815	1.315
1816	1.789
1817	1.059
1818	0.604
1819	1.012
1820	0.647
1821	0.967
1822	0.623
1823	0.753
1824	0.844
1825	0.802
1826	1.225
1827	1.528
1828	1.414
1829	1.299
1830	0.948
1831	0.77
1832	0.993
1833	0.937
1834	0.961
1835	0.899
1836	0.938
1837	0.754
1838	0.745
1839	0.866
1840	1.167
1841	0.691
1842	0.45
1843	0.787
1844	0.893
1845	1.21
1846	1.373
1847	0.603
1848	0.927
1849	1.121
1850	1.199
1851	0.778
1852	1.048
1853	1.035
1854	1.349
1855	1.048
1856	1.534
1857	1.417
1858	1.623
1859	0.861
1860	1.13
1861	1.505
1862	1.062
1863	0.865
1864	0.959
1865	0.84
1866	0.839
1867	1.012
1868	0.965
1869	1.578
1870	0.738
1871	1.301
1872	1.011
1873	0.91
1874	0.624
1875	0.615
1876	1.01
1877	1.056
1878	0.722
1879	0.732
1880	1.027
1881	0.998
1882	1.325
1883	1.935
1884	1.43
1885	1.35
1886	1.374
1887	1.179
1888	1.397
1889	1.13
1890	0.986
1891	1.311
1892	0.799
1893	0.65
1894	0.646
1895	1.147
1896	1.009
1897	1.078
1898	1.551
1899	1.051
1900	1.053
1901	1.481
1902	1.035
1903	1.402
1904	0.453
1905	1.411
1906	0.968
1907	1.324
1908	1.453
1909	1.111
1910	0.762
1911	1.306
1912	1.132
1913	1.168
1914	1.159
1915	0.881
1916	0.986
1917	1.17
1918	0.848
1919	1.199
1920	1.559
1921	0.899
1922	0.95
1923	0.831
1924	0.816
1925	0.401
1926	1.251
1927	1.045
1928	0.938
1929	0.861
1930	0.962
1931	1.011
1932	1.341
1933	1.474
1934	0.426
1935	0.892
1936	1.017
1937	1.03
1938	1.039
1939	0.508
1940	1.114
1941	1.278
1942	0.932
1943	1.376
1944	1.252
1945	0.532
1946	0.554
1947	0.624
1948	0.701
1949	0.682
1950	0.811
1951	0.689
1952	0.831
1953	0.74
1954	0.066
1955	0.539
1956	0.237
1957	0.474
1958	0.571
1959	0.392
1960	0.647
1961	0.49
1962	0.461
1963	0.56
1964	0.449
1965	0.88
1966	0.867
1967	0.565
1968	0.768
1969	0.653
1970	0.732
1971	0.302
1972	0.577
1973	0.902
1974	0.247
1975	0.874
1976	0.941
1977	0.808
1978	0.92
1979	0.898
1980	0.785
1981	0.837
1982	0.97
1983	0.829
1984	1.193
1985	1.041
1986	1.027
1987	1.08
1988	1.108
1989	0.755
1990	0.972
1991	1.121
1992	1.37