# northamerica_usa_nm022 - Ditch Canyon - 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/3074
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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_nm022 - Ditch Canyon - 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: Ditch Canyon
#	Location:
#	Country: United States
#	Northernmost_Latitude: 37.0
#	Southernmost_Latitude: 37.0
#	Easternmost_Longitude: -107.82
#	Westernmost_Longitude: -107.82
#	Elevation: 2073 m
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# Data_Collection
#	Collection_Name: northamerica_usa_nm022B
#	Earliest_Year: 1717
#	Most_Recent_Year: 1971
#	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":"4.21128329395","T2":"15.0200023623","M1":"0.0231466228583","M2":"0.538044201075"}}
#--------------------
# Species
#	Species_Name: Douglas fir
#	Species_Code: PSME
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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
1717	0.741
1718	0.72
1719	1.167
1720	1.486
1721	1.062
1722	0.73
1723	1.077
1724	0.653
1725	0.917
1726	1.233
1727	1.331
1728	0.898
1729	0.356
1730	0.696
1731	0.855
1732	1.023
1733	0.903
1734	1.038
1735	0.35
1736	0.66
1737	0.63
1738	0.617
1739	0.69
1740	0.723
1741	0.727
1742	0.602
1743	0.991
1744	0.721
1745	0.988
1746	1.238
1747	1.504
1748	0.634
1749	1.213
1750	0.854
1751	0.744
1752	0.725
1753	0.614
1754	1.033
1755	0.931
1756	0.916
1757	0.838
1758	0.846
1759	0.956
1760	0.86
1761	0.848
1762	1.03
1763	0.956
1764	1.005
1765	1.008
1766	1.325
1767	1.163
1768	1.278
1769	1.423
1770	1.335
1771	1.505
1772	1.307
1773	0.755
1774	0.917
1775	1.018
1776	0.801
1777	0.901
1778	0.729
1779	0.708
1780	0.598
1781	0.802
1782	0.637
1783	0.972
1784	0.985
1785	0.988
1786	0.975
1787	1.534
1788	0.848
1789	0.787
1790	0.756
1791	1.147
1792	1.284
1793	1.372
1794	0.699
1795	0.951
1796	0.815
1797	0.841
1798	0.846
1799	0.991
1800	1.051
1801	0.602
1802	1.187
1803	1.135
1804	0.988
1805	0.772
1806	0.561
1807	0.98
1808	0.681
1809	0.793
1810	0.723
1811	1.334
1812	1.241
1813	0.949
1814	0.958
1815	1.324
1816	1.732
1817	1.593
1818	0.675
1819	0.662
1820	0.597
1821	1.321
1822	0.72
1823	0.545
1824	0.473
1825	0.766
1826	0.896
1827	0.619
1828	1.323
1829	1.066
1830	1.554
1831	1.65
1832	1.646
1833	1.526
1834	1.325
1835	1.518
1836	0.974
1837	1.023
1838	1.356
1839	1.534
1840	1.723
1841	1.443
1842	0.948
1843	1.056
1844	0.904
1845	0.842
1846	1.013
1847	0.343
1848	0.9
1849	1.083
1850	1.134
1851	0.525
1852	1.431
1853	1.533
1854	1.202
1855	1.258
1856	1.125
1857	0.903
1858	0.97
1859	0.825
1860	1.037
1861	0.343
1862	0.841
1863	0.825
1864	0.487
1865	0.853
1866	0.869
1867	1.276
1868	1.558
1869	1.788
1870	1.029
1871	0.711
1872	0.457
1873	0.65
1874	0.693
1875	0.633
1876	0.415
1877	0.967
1878	0.563
1879	0.626
1880	0.537
1881	0.534
1882	0.736
1883	0.597
1884	0.808
1885	1.12
1886	1.263
1887	1.308
1888	1.492
1889	1.562
1890	1.824
1891	1.596
1892	1.255
1893	0.855
1894	0.761
1895	0.704
1896	0.466
1897	0.902
1898	0.778
1899	0.531
1900	0.571
1901	0.53
1902	0.146
1903	0.917
1904	0.308
1905	0.81
1906	0.863
1907	1.375
1908	1.134
1909	1.425
1910	1.154
1911	1.385
1912	1.321
1913	0.811
1914	1.325
1915	1.856
1916	1.743
1917	1.619
1918	0.845
1919	1.329
1920	1.961
1921	1.873
1922	1.609
1923	0.969
1924	1.175
1925	0.868
1926	1.191
1927	1.142
1928	1.48
1929	1.098
1930	1.385
1931	1.102
1932	1.179
1933	1.27
1934	0.759
1935	0.935
1936	0.983
1937	1.193
1938	1.213
1939	0.845
1940	0.801
1941	1.188
1942	1.239
1943	0.925
1944	0.918
1945	0.773
1946	0.443
1947	0.613
1948	0.764
1949	0.935
1950	0.603
1951	0.448
1952	0.709
1953	0.597
1954	0.584
1955	0.577
1956	0.531
1957	0.642
1958	1.034
1959	0.465
1960	0.809
1961	0.763
1962	0.606
1963	0.761
1964	0.593
1965	0.763
1966	0.972
1967	0.826
1968	0.777
1969	0.658
1970	0.781
1971	0.889