# northamerica_usa_ak13 - Taku Glacier  Northern Border  Taku Inlet - 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/3672
#
# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: northamerica_usa_ak13 - Taku Glacier  Northern Border  Taku Inlet - 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: Taku Glacier  Northern Border  Taku Inlet
#	Location:
#	Country: United States
#	Northernmost_Latitude: 58.47
#	Southernmost_Latitude: 58.47
#	Easternmost_Longitude: -134.02
#	Westernmost_Longitude: -134.02
#	Elevation: 8 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_ak13B
#	Earliest_Year: 1810
#	Most_Recent_Year: 1987
#	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":"5.10339176718","T2":"14.7463088145","M1":"0.0226423603194","M2":"0.46803283857"}}
#--------------------
# Species
#	Species_Name: Sitka spruce
#	Species_Code: PCSI
#--------------------
# 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
1810	0.821
1811	0.99
1812	1.058
1813	1.311
1814	1.187
1815	1.204
1816	1.09
1817	0.801
1818	0.922
1819	0.958
1820	1.048
1821	1.132
1822	1.168
1823	0.967
1824	0.929
1825	0.88
1826	1.101
1827	1.091
1828	1.054
1829	1.108
1830	1.075
1831	0.926
1832	1.048
1833	0.965
1834	0.992
1835	1.009
1836	0.905
1837	0.954
1838	0.992
1839	1.086
1840	1.062
1841	0.954
1842	0.951
1843	1.149
1844	1.15
1845	1.04
1846	0.961
1847	0.945
1848	0.958
1849	0.928
1850	1.066
1851	1.097
1852	1.156
1853	1.049
1854	0.968
1855	0.911
1856	0.851
1857	1.035
1858	1.052
1859	1.027
1860	0.888
1861	0.859
1862	0.88
1863	0.839
1864	0.896
1865	0.777
1866	0.875
1867	0.982
1868	0.915
1869	0.917
1870	1.036
1871	0.96
1872	1.11
1873	1.064
1874	0.996
1875	0.871
1876	0.649
1877	0.689
1878	0.985
1879	1.412
1880	1.226
1881	1.047
1882	0.89
1883	1.008
1884	1.123
1885	0.922
1886	1.2
1887	0.924
1888	1.049
1889	0.843
1890	1.023
1891	1.149
1892	1.048
1893	1.069
1894	1.067
1895	1.078
1896	1.148
1897	1.026
1898	1.088
1899	1.382
1900	1.322
1901	1.024
1902	1.091
1903	0.981
1904	0.774
1905	0.941
1906	0.856
1907	1.036
1908	1.075
1909	0.864
1910	0.841
1911	0.994
1912	1.223
1913	1.398
1914	1.314
1915	1.024
1916	0.889
1917	1.05
1918	1.132
1919	0.93
1920	1.17
1921	1.162
1922	0.827
1923	1.017
1924	0.961
1925	1.076
1926	1.264
1927	1.189
1928	1.025
1929	1.211
1930	1.024
1931	1.146
1932	1.048
1933	1.091
1934	1.043
1935	0.77
1936	0.705
1937	0.674
1938	0.905
1939	1.072
1940	1.241
1941	1.337
1942	1.423
1943	1.328
1944	1.197
1945	1.109
1946	1.137
1947	1.15
1948	1.153
1949	1.081
1950	1.092
1951	0.812
1952	0.687
1953	0.728
1954	0.489
1955	0.49
1956	0.656
1957	0.788
1958	0.962
1959	1.051
1960	0.909
1961	0.815
1962	0.863
1963	1.099
1964	1.249
1965	1.492
1966	1.285
1967	1.169
1968	1.208
1969	0.973
1970	0.651
1971	0.822
1972	0.717
1973	0.59
1974	0.511
1975	0.584
1976	0.505
1977	0.622
1978	0.562
1979	0.672
1980	0.712
1981	0.853
1982	1.027
1983	1.036
1984	1.065
1985	0.739
1986	0.663
1987	0.323