# northamerica_usa_nm552 - Osha 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.
#
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# Online_Resource:
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# Online_Resource: https://www.ncdc.noaa.gov/paleo/study/24611
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# Original_Source_URL:https://www.ncdc.noaa.gov/paleo/study/5089
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# 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_nm552 - Osha 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.
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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: Osha Mountain
#	Location:
#	Country: United States
#	Northernmost_Latitude: 36.3
#	Southernmost_Latitude: 36.3
#	Easternmost_Longitude: -105.42
#	Westernmost_Longitude: -105.42
#	Elevation: 2896 m
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# Data_Collection
#	Collection_Name: northamerica_usa_nm552B
#	Earliest_Year: 1706
#	Most_Recent_Year: 1981
#	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":"4.2223964021","T2":"15.3606970246","M1":"0.0229450871438","M2":"0.51386834575"}}
#--------------------
# Species
#	Species_Name: ponderosa pine
#	Species_Code: PIPO
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# 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
#
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# Data:
# Data lines follow (have no #)
# Data line format - tab-delimited text, variable short name as header
# Missing Values: nan
#
age	trsgi
1706	1.04
1707	0.788
1708	0.996
1709	0.935
1710	1.036
1711	0.961
1712	0.886
1713	0.951
1714	0.9
1715	0.869
1716	0.91
1717	1.209
1718	1.33
1719	0.957
1720	1.294
1721	1.07
1722	0.968
1723	1.032
1724	1.214
1725	1.097
1726	1.141
1727	0.851
1728	0.851
1729	0.483
1730	0.816
1731	0.914
1732	0.938
1733	0.745
1734	1.024
1735	0.782
1736	0.921
1737	0.559
1738	0.835
1739	0.853
1740	0.919
1741	0.821
1742	1.072
1743	1.044
1744	0.925
1745	1.035
1746	1.236
1747	1.084
1748	0.557
1749	0.979
1750	0.777
1751	0.96
1752	0.259
1753	0.501
1754	0.778
1755	0.996
1756	1.036
1757	1.285
1758	1.344
1759	1.333
1760	1.201
1761	1.371
1762	1.268
1763	1.184
1764	1.212
1765	1.172
1766	1.394
1767	1.349
1768	1.237
1769	1.064
1770	1.025
1771	1.115
1772	1.042
1773	0.656
1774	0.915
1775	0.873
1776	0.805
1777	0.815
1778	0.893
1779	1.015
1780	0.771
1781	0.664
1782	1.055
1783	1.069
1784	1.175
1785	1.151
1786	1.132
1787	1.149
1788	1.236
1789	0.954
1790	0.863
1791	1.075
1792	1.112
1793	1.172
1794	1.004
1795	0.8
1796	0.944
1797	0.8
1798	0.648
1799	0.862
1800	0.873
1801	0.231
1802	0.589
1803	0.734
1804	1.065
1805	1.102
1806	1.381
1807	1.529
1808	1.548
1809	1.205
1810	1.356
1811	1.221
1812	1.277
1813	1.394
1814	1.373
1815	1.108
1816	1.05
1817	0.883
1818	0.68
1819	0.815
1820	1.023
1821	1.04
1822	0.964
1823	1.083
1824	0.933
1825	1.221
1826	1.204
1827	1.25
1828	1.283
1829	1.255
1830	1.113
1831	1.063
1832	1.121
1833	1.164
1834	1.256
1835	1.104
1836	0.771
1837	0.909
1838	0.892
1839	0.72
1840	0.886
1841	0.874
1842	0.483
1843	0.668
1844	0.676
1845	0.534
1846	0.403
1847	0.406
1848	0.387
1849	0.464
1850	0.485
1851	0.145
1852	0.51
1853	0.957
1854	1.266
1855	1.249
1856	1.098
1857	1.328
1858	1.182
1859	0.845
1860	1.066
1861	0.967
1862	1.113
1863	1.1
1864	1.029
1865	0.799
1866	0.955
1867	0.986
1868	0.885
1869	0.921
1870	0.899
1871	0.708
1872	0.936
1873	0.82
1874	0.799
1875	0.85
1876	1.051
1877	0.94
1878	0.637
1879	0.717
1880	0.284
1881	0.437
1882	0.64
1883	0.709
1884	0.79
1885	0.943
1886	1.0
1887	1.174
1888	1.127
1889	1.105
1890	0.966
1891	1.109
1892	0.978
1893	0.829
1894	0.721
1895	1.103
1896	0.858
1897	1.011
1898	1.356
1899	1.106
1900	1.265
1901	1.276
1902	1.239
1903	1.305
1904	1.006
1905	1.061
1906	1.251
1907	1.621
1908	1.349
1909	1.247
1910	1.037
1911	1.233
1912	1.235
1913	1.22
1914	1.371
1915	1.142
1916	1.222
1917	0.768
1918	1.078
1919	1.124
1920	1.14
1921	1.246
1922	0.954
1923	1.151
1924	1.108
1925	0.752
1926	1.157
1927	0.995
1928	1.068
1929	1.129
1930	0.898
1931	0.884
1932	0.835
1933	0.93
1934	0.606
1935	0.96
1936	0.753
1937	0.932
1938	0.931
1939	0.819
1940	0.961
1941	1.108
1942	1.186
1943	1.286
1944	1.15
1945	1.145
1946	0.627
1947	0.836
1948	0.973
1949	1.08
1950	0.859
1951	0.772
1952	0.894
1953	0.815
1954	0.583
1955	0.835
1956	0.253
1957	0.523
1958	0.726
1959	0.724
1960	0.945
1961	0.91
1962	1.081
1963	0.817
1964	0.685
1965	1.127
1966	1.449
1967	1.503
1968	1.388
1969	1.654
1970	1.095
1971	0.385
1972	0.629
1973	0.824
1974	0.885
1975	1.029
1976	0.783
1977	0.779
1978	0.89
1979	0.879
1980	0.909
1981	0.631