# northamerica_usa_ak039 - Monahan Flats - 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/3891
#
# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: northamerica_usa_ak039 - Monahan Flats - 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: Monahan Flats
#	Location:
#	Country: United States
#	Northernmost_Latitude: 63.27
#	Southernmost_Latitude: 63.27
#	Easternmost_Longitude: -147.92
#	Westernmost_Longitude: -147.92
#	Elevation: 884 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_ak039B
#	Earliest_Year: 1823
#	Most_Recent_Year: 1997
#	Time_Unit: y_ad
#	Core_Length:
#	Notes: {"database":{"database1":"LMR","database2":"Breits"}} {"climateInterpretation":{"basis":"", "climateVariable":"T", "climateVariableDetail":"air", "interpDirection":"positive", "seasonality":"[6, 7, 8]"}}{"VSLite_parameters":{"T1":"6.45058396936","T2":"18.641673359","M1":"0.0220247996711","M2":"0.302061279635"}}
#--------------------
# Species
#	Species_Name: white spruce
#	Species_Code: PCGL
#--------------------
# 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
1823	1.058
1824	0.818
1825	0.703
1826	0.654
1827	0.72
1828	0.817
1829	0.685
1830	0.583
1831	0.765
1832	0.831
1833	0.797
1834	0.777
1835	0.497
1836	0.695
1837	0.72
1838	0.891
1839	0.828
1840	0.854
1841	0.84
1842	0.808
1843	0.831
1844	1.151
1845	0.669
1846	0.982
1847	0.873
1848	1.062
1849	0.752
1850	0.681
1851	0.863
1852	0.933
1853	1.056
1854	1.171
1855	1.237
1856	1.009
1857	1.12
1858	1.387
1859	1.338
1860	1.221
1861	1.223
1862	1.194
1863	1.111
1864	1.223
1865	1.254
1866	1.057
1867	1.324
1868	0.932
1869	0.948
1870	1.079
1871	1.123
1872	1.078
1873	1.066
1874	1.062
1875	0.966
1876	0.723
1877	0.753
1878	0.739
1879	0.777
1880	0.766
1881	0.986
1882	1.133
1883	0.894
1884	1.239
1885	1.414
1886	1.444
1887	1.009
1888	1.267
1889	1.269
1890	1.533
1891	1.591
1892	1.323
1893	1.389
1894	1.305
1895	1.257
1896	1.341
1897	1.304
1898	1.285
1899	1.126
1900	1.022
1901	0.943
1902	1.04
1903	0.905
1904	0.729
1905	0.71
1906	0.961
1907	0.831
1908	0.988
1909	0.883
1910	0.735
1911	0.94
1912	0.59
1913	0.749
1914	0.692
1915	0.866
1916	0.699
1917	0.905
1918	0.95
1919	0.571
1920	0.781
1921	0.835
1922	0.7
1923	1.012
1924	0.758
1925	0.852
1926	0.786
1927	0.805
1928	0.827
1929	0.963
1930	0.809
1931	0.682
1932	1.065
1933	1.08
1934	1.169
1935	1.124
1936	1.23
1937	1.01
1938	0.764
1939	1.206
1940	0.865
1941	1.035
1942	1.075
1943	1.331
1944	1.012
1945	0.866
1946	1.081
1947	0.897
1948	1.143
1949	1.096
1950	1.232
1951	0.994
1952	0.929
1953	1.081
1954	0.928
1955	0.988
1956	1.057
1957	1.117
1958	0.989
1959	1.04
1960	1.26
1961	1.122
1962	1.233
1963	0.799
1964	1.064
1965	0.837
1966	1.021
1967	1.031
1968	1.055
1969	0.852
1970	0.553
1971	1.075
1972	1.008
1973	0.673
1974	0.785
1975	0.793
1976	0.747
1977	0.698
1978	0.517
1979	0.958
1980	0.787
1981	0.875
1982	1.158
1983	1.177
1984	0.946
1985	1.039
1986	1.093
1987	0.9
1988	1.045
1989	0.902
1990	0.964
1991	0.896
1992	1.219
1993	1.13
1994	1.039
1995	1.227
1996	1.256
1997	1.541