# northamerica_usa_co581 - Seedhouse - 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/5336
#
# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: northamerica_usa_co581 - Seedhouse - 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: Seedhouse
#	Location:
#	Country: United States
#	Northernmost_Latitude: 40.75
#	Southernmost_Latitude: 40.75
#	Easternmost_Longitude: -106.85
#	Westernmost_Longitude: -106.85
#	Elevation: 2377 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_co581B
#	Earliest_Year: 1721
#	Most_Recent_Year: 2000
#	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":"2.38996710957","T2":"13.4362778425","M1":"0.0240841115852","M2":"0.582397440914"}}
#--------------------
# 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
1721	0.997
1722	0.791
1723	0.956
1724	0.967
1725	1.014
1726	1.367
1727	1.303
1728	1.017
1729	1.228
1730	1.049
1731	1.201
1732	0.801
1733	1.345
1734	1.583
1735	1.03
1736	0.752
1737	1.095
1738	0.866
1739	0.896
1740	1.036
1741	1.136
1742	0.723
1743	0.683
1744	0.74
1745	0.901
1746	1.434
1747	1.416
1748	1.148
1749	1.34
1750	1.316
1751	1.287
1752	1.011
1753	1.194
1754	1.246
1755	0.932
1756	0.487
1757	0.819
1758	0.715
1759	1.247
1760	0.714
1761	1.057
1762	0.954
1763	0.704
1764	0.773
1765	0.852
1766	0.938
1767	1.006
1768	1.278
1769	1.187
1770	1.109
1771	0.995
1772	0.592
1773	0.779
1774	0.594
1775	0.56
1776	0.587
1777	0.813
1778	0.808
1779	0.691
1780	1.163
1781	1.044
1782	0.669
1783	0.985
1784	0.663
1785	0.695
1786	0.633
1787	1.077
1788	0.831
1789	1.04
1790	1.22
1791	1.094
1792	1.702
1793	0.915
1794	0.975
1795	0.962
1796	0.813
1797	0.929
1798	0.581
1799	0.73
1800	0.506
1801	0.728
1802	0.752
1803	0.887
1804	0.674
1805	0.887
1806	0.79
1807	0.713
1808	1.04
1809	0.828
1810	0.898
1811	1.217
1812	1.252
1813	1.044
1814	1.156
1815	1.062
1816	1.274
1817	1.135
1818	1.21
1819	1.609
1820	1.108
1821	0.816
1822	1.159
1823	0.738
1824	0.759
1825	0.68
1826	0.827
1827	0.967
1828	1.124
1829	0.834
1830	0.937
1831	0.902
1832	0.925
1833	1.224
1834	0.963
1835	1.393
1836	1.149
1837	1.297
1838	1.224
1839	1.165
1840	1.077
1841	1.266
1842	0.928
1843	1.421
1844	1.006
1845	0.455
1846	0.622
1847	0.579
1848	0.754
1849	1.111
1850	0.923
1851	0.706
1852	0.997
1853	1.067
1854	1.156
1855	0.974
1856	0.97
1857	1.016
1858	1.084
1859	0.901
1860	1.393
1861	1.094
1862	1.058
1863	0.807
1864	0.637
1865	0.503
1866	0.942
1867	0.869
1868	0.484
1869	0.763
1870	0.82
1871	0.536
1872	0.494
1873	0.587
1874	0.469
1875	0.799
1876	0.918
1877	0.729
1878	0.85
1879	0.8
1880	0.342
1881	0.568
1882	0.574
1883	0.547
1884	0.622
1885	0.616
1886	0.465
1887	0.37
1888	0.559
1889	0.434
1890	0.35
1891	0.564
1892	0.66
1893	0.332
1894	0.618
1895	0.92
1896	0.865
1897	1.174
1898	1.034
1899	0.765
1900	0.808
1901	0.77
1902	0.794
1903	0.698
1904	0.806
1905	0.875
1906	0.918
1907	1.441
1908	1.38
1909	1.415
1910	1.387
1911	1.613
1912	1.48
1913	1.395
1914	1.307
1915	1.245
1916	1.15
1917	1.294
1918	1.216
1919	1.119
1920	0.919
1921	1.356
1922	1.456
1923	1.224
1924	0.968
1925	1.339
1926	1.363
1927	1.513
1928	1.477
1929	1.028
1930	1.502
1931	1.318
1932	0.951
1933	0.775
1934	0.62
1935	0.833
1936	0.731
1937	1.245
1938	1.075
1939	0.9
1940	1.084
1941	1.031
1942	1.04
1943	1.323
1944	1.131
1945	1.398
1946	1.476
1947	1.555
1948	1.08
1949	1.07
1950	0.828
1951	1.14
1952	1.005
1953	1.077
1954	1.042
1955	1.141
1956	0.957
1957	1.11
1958	0.847
1959	0.938
1960	0.898
1961	0.704
1962	0.802
1963	0.824
1964	1.084
1965	1.068
1966	1.173
1967	1.272
1968	1.182
1969	1.404
1970	1.157
1971	1.043
1972	0.829
1973	1.022
1974	1.411
1975	0.971
1976	1.046
1977	0.955
1978	0.853
1979	0.865
1980	0.691
1981	1.274
1982	1.366
1983	1.262
1984	1.329
1985	1.142
1986	1.255
1987	1.065
1988	0.892
1989	0.802
1990	1.125
1991	0.896
1992	0.829
1993	1.054
1994	0.651
1995	0.826
1996	0.998
1997	0.879
1998	1.176
1999	0.907
2000	0.92