# northamerica_usa_co558 - Roadsite - 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/4280
#
# 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_co558 - Roadsite - 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: Roadsite
#	Location:
#	Country: United States
#	Northernmost_Latitude: 38.1
#	Southernmost_Latitude: 38.1
#	Easternmost_Longitude: -106.37
#	Westernmost_Longitude: -106.37
#	Elevation: 2621 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_co558B
#	Earliest_Year: 1640
#	Most_Recent_Year: 1996
#	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":"2.44429570782","T2":"13.1718455883","M1":"0.0239126132435","M2":"0.574317956896"}}
#--------------------
# Species
#	Species_Name: ponderosa pine
#	Species_Code: PIPO
#--------------------
# 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
#
#--------------------
# Data:
# Data lines follow (have no #)
# Data line format - tab-delimited text, variable short name as header
# Missing Values: nan
#
age	trsgi
1640	1.815
1641	1.076
1642	1.099
1643	1.077
1644	1.353
1645	0.288
1646	1.105
1647	0.983
1648	0.99
1649	1.167
1650	0.749
1651	1.263
1652	0.701
1653	1.021
1654	0.556
1655	1.393
1656	1.535
1657	1.476
1658	0.519
1659	0.221
1660	0.49
1661	1.489
1662	1.021
1663	0.969
1664	0.148
1665	1.024
1666	0.669
1667	1.238
1668	-0.002
1669	0.509
1670	1.241
1671	0.9
1672	1.092
1673	1.552
1674	1.638
1675	0.689
1676	0.783
1677	1.342
1678	1.523
1679	0.651
1680	1.665
1681	0.429
1682	0.412
1683	0.743
1684	0.163
1685	-0.006
1686	0.195
1687	0.129
1688	0.317
1689	1.185
1690	0.554
1691	1.003
1692	1.532
1693	1.441
1694	0.533
1695	1.02
1696	0.719
1697	1.436
1698	1.498
1699	2.238
1700	1.028
1701	2.232
1702	1.428
1703	0.811
1704	0.198
1705	0.485
1706	1.065
1707	0.19
1708	0.47
1709	0.189
1710	1.189
1711	1.352
1712	1.905
1713	1.829
1714	1.013
1715	0.378
1716	0.456
1717	0.3
1718	1.454
1719	1.09
1720	2.078
1721	2.267
1722	0.742
1723	1.024
1724	1.126
1725	1.609
1726	1.823
1727	1.812
1728	1.289
1729	0.133
1730	0.43
1731	1.044
1732	0.876
1733	1.001
1734	1.263
1735	0.178
1736	1.088
1737	0.14
1738	0.651
1739	1.387
1740	1.574
1741	0.933
1742	0.477
1743	1.309
1744	1.085
1745	0.437
1746	1.342
1747	1.38
1748	-0.007
1749	1.291
1750	0.624
1751	0.73
1752	0.312
1753	1.177
1754	1.149
1755	0.621
1756	0.439
1757	1.185
1758	1.14
1759	1.296
1760	1.438
1761	1.427
1762	1.321
1763	0.771
1764	0.757
1765	1.295
1766	1.442
1767	1.523
1768	1.66
1769	1.823
1770	1.949
1771	1.861
1772	0.993
1773	0.535
1774	1.296
1775	0.17
1776	0.69
1777	0.795
1778	0.635
1779	0.076
1780	-0.008
1781	0.378
1782	0.404
1783	0.973
1784	1.168
1785	0.968
1786	0.15
1787	1.271
1788	0.41
1789	0.424
1790	1.278
1791	1.051
1792	0.899
1793	1.339
1794	1.21
1795	0.65
1796	0.473
1797	0.753
1798	0.911
1799	1.49
1800	1.821
1801	1.404
1802	1.134
1803	1.55
1804	1.173
1805	0.501
1806	-0.009
1807	0.885
1808	0.675
1809	0.795
1810	0.889
1811	0.953
1812	0.769
1813	1.349
1814	1.635
1815	1.719
1816	2.087
1817	1.779
1818	0.741
1819	1.278
1820	1.431
1821	1.086
1822	1.023
1823	1.278
1824	0.322
1825	1.068
1826	0.65
1827	1.0
1828	1.577
1829	1.74
1830	1.498
1831	1.945
1832	1.635
1833	0.636
1834	0.674
1835	1.624
1836	1.166
1837	1.177
1838	1.781
1839	1.31
1840	0.742
1841	0.687
1842	0.982
1843	0.501
1844	0.881
1845	0.595
1846	0.445
1847	-0.01
1848	0.063
1849	0.744
1850	0.811
1851	0.033
1852	0.882
1853	0.928
1854	1.011
1855	0.691
1856	0.928
1857	1.01
1858	1.268
1859	1.174
1860	1.145
1861	0.423
1862	0.718
1863	1.276
1864	1.496
1865	1.151
1866	1.216
1867	1.25
1868	1.359
1869	1.503
1870	1.166
1871	0.127
1872	0.98
1873	0.96
1874	0.407
1875	0.57
1876	0.408
1877	1.26
1878	1.143
1879	0.883
1880	-0.011
1881	0.542
1882	1.19
1883	0.428
1884	0.845
1885	1.731
1886	1.377
1887	1.068
1888	0.692
1889	0.5
1890	0.592
1891	0.9
1892	1.25
1893	0.376
1894	0.585
1895	0.794
1896	0.58
1897	0.68
1898	1.099
1899	0.352
1900	1.076
1901	0.419
1902	0.399
1903	1.268
1904	0.606
1905	1.174
1906	0.92
1907	1.913
1908	0.863
1909	0.709
1910	1.235
1911	0.718
1912	0.986
1913	1.328
1914	1.719
1915	1.826
1916	1.35
1917	1.659
1918	1.288
1919	2.097
1920	1.23
1921	1.782
1922	0.683
1923	0.841
1924	1.812
1925	0.972
1926	1.065
1927	0.52
1928	1.546
1929	1.029
1930	1.45
1931	1.114
1932	0.943
1933	0.771
1934	0.209
1935	1.543
1936	0.944
1937	0.956
1938	1.393
1939	0.934
1940	0.265
1941	1.761
1942	1.49
1943	0.419
1944	1.189
1945	0.358
1946	0.58
1947	0.529
1948	0.916
1949	1.382
1950	0.053
1951	0.208
1952	0.634
1953	1.064
1954	0.174
1955	0.346
1956	0.401
1957	1.364
1958	1.014
1959	0.343
1960	1.001
1961	0.577
1962	0.897
1963	0.264
1964	0.508
1965	1.543
1966	1.773
1967	0.577
1968	1.174
1969	1.836
1970	1.994
1971	1.041
1972	1.403
1973	1.258
1974	0.619
1975	1.085
1976	0.845
1977	1.071
1978	0.149
1979	0.679
1980	0.664
1981	0.202
1982	0.466
1983	1.341
1984	0.93
1985	1.438
1986	0.763
1987	1.422
1988	1.114
1989	1.233
1990	1.264
1991	0.788
1992	0.76
1993	1.056
1994	0.877
1995	1.611
1996	0.565