# northamerica_usa_wa021 - Wanlick Creek - 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/2916
#
# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: northamerica_usa_wa021 - Wanlick Creek - 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: Wanlick Creek
#	Location:
#	Country: United States
#	Northernmost_Latitude: 48.65
#	Southernmost_Latitude: 48.65
#	Easternmost_Longitude: -121.83
#	Westernmost_Longitude: -121.83
#	Elevation: 765 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_wa021B
#	Earliest_Year: 1785
#	Most_Recent_Year: 1976
#	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":"4.27737776953","T2":"17.888849284","M1":"0.0228347102053","M2":"0.369153593049"}}
#--------------------
# Species
#	Species_Name: western hemlock
#	Species_Code: TSHE
#--------------------
# 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
1785	0.663
1786	0.916
1787	0.731
1788	0.835
1789	0.906
1790	0.749
1791	0.957
1792	0.904
1793	1.11
1794	1.147
1795	1.162
1796	1.022
1797	0.942
1798	0.978
1799	0.829
1800	0.921
1801	0.985
1802	1.202
1803	1.391
1804	1.715
1805	1.586
1806	1.385
1807	1.234
1808	1.143
1809	1.125
1810	1.079
1811	0.957
1812	1.153
1813	1.093
1814	1.224
1815	1.238
1816	1.292
1817	1.184
1818	1.195
1819	1.182
1820	0.956
1821	0.981
1822	0.97
1823	0.893
1824	0.972
1825	1.072
1826	0.742
1827	0.798
1828	0.922
1829	1.247
1830	1.111
1831	1.178
1832	1.285
1833	1.264
1834	1.257
1835	0.974
1836	1.021
1837	1.173
1838	1.338
1839	1.342
1840	1.014
1841	1.12
1842	1.182
1843	1.159
1844	1.207
1845	1.058
1846	1.267
1847	0.589
1848	0.614
1849	0.294
1850	0.542
1851	0.642
1852	0.508
1853	0.639
1854	0.875
1855	0.935
1856	0.793
1857	0.938
1858	0.93
1859	0.968
1860	1.276
1861	1.056
1862	0.855
1863	1.038
1864	0.84
1865	0.651
1866	0.796
1867	0.681
1868	0.919
1869	0.537
1870	0.527
1871	0.695
1872	0.837
1873	0.779
1874	0.818
1875	0.576
1876	0.242
1877	0.339
1878	0.284
1879	0.675
1880	0.615
1881	0.692
1882	0.772
1883	0.833
1884	0.863
1885	1.049
1886	0.7
1887	0.808
1888	0.945
1889	1.29
1890	1.004
1891	1.328
1892	1.43
1893	1.184
1894	1.279
1895	1.096
1896	0.799
1897	0.495
1898	0.748
1899	0.705
1900	1.231
1901	1.71
1902	1.444
1903	1.35
1904	1.154
1905	1.059
1906	1.082
1907	0.85
1908	0.982
1909	0.889
1910	1.566
1911	1.299
1912	1.136
1913	1.211
1914	1.237
1915	1.105
1916	0.847
1917	0.835
1918	0.691
1919	0.862
1920	0.72
1921	0.558
1922	0.635
1923	0.792
1924	0.905
1925	0.877
1926	0.747
1927	0.632
1928	0.764
1929	0.805
1930	1.117
1931	0.743
1932	0.622
1933	1.154
1934	1.023
1935	1.277
1936	0.644
1937	0.832
1938	0.521
1939	0.731
1940	1.169
1941	1.077
1942	1.132
1943	1.285
1944	1.182
1945	0.788
1946	0.509
1947	1.077
1948	0.991
1949	1.047
1950	1.434
1951	1.024
1952	0.929
1953	1.224
1954	1.073
1955	1.099
1956	0.711
1957	1.193
1958	0.985
1959	0.134
1960	0.262
1961	0.482
1962	0.621
1963	1.243
1964	1.023
1965	0.983
1966	0.88
1967	0.968
1968	0.802
1969	0.609
1970	0.831
1971	0.646
1972	0.577
1973	0.749
1974	0.726
1975	1.059
1976	-0.025