# northamerica_usa_nh004 - Mount Washington New Hampshire - 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/3003
#
# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: northamerica_usa_nh004 - Mount Washington New Hampshire - 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: Mount Washington New Hampshire
#	Location:
#	Country: United States
#	Northernmost_Latitude: 44.28
#	Southernmost_Latitude: 44.28
#	Easternmost_Longitude: -71.27
#	Westernmost_Longitude: -71.27
#	Elevation: 1750 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_nh004B
#	Earliest_Year: 1740
#	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":"4.24285051802","T2":"16.6956485101","M1":"0.0227599708565","M2":"0.495622669716"}}
#--------------------
# Species
#	Species_Name: red spruce
#	Species_Code: PCRU
#--------------------
# 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
1740	0.973
1741	0.812
1742	0.799
1743	0.801
1744	0.929
1745	0.968
1746	1.136
1747	1.095
1748	0.653
1749	0.863
1750	0.852
1751	0.722
1752	0.915
1753	1.26
1754	1.289
1755	0.929
1756	1.121
1757	1.006
1758	1.265
1759	1.287
1760	1.236
1761	1.281
1762	1.077
1763	0.851
1764	0.926
1765	0.875
1766	0.92
1767	0.755
1768	0.729
1769	0.837
1770	0.745
1771	1.041
1772	0.871
1773	0.907
1774	0.751
1775	0.905
1776	0.637
1777	0.893
1778	0.814
1779	0.82
1780	0.959
1781	0.657
1782	0.606
1783	0.614
1784	0.815
1785	0.93
1786	1.138
1787	0.938
1788	0.899
1789	0.857
1790	0.774
1791	0.862
1792	0.574
1793	0.97
1794	0.565
1795	0.545
1796	0.641
1797	0.879
1798	1.017
1799	0.809
1800	0.965
1801	1.054
1802	0.786
1803	0.907
1804	0.765
1805	0.818
1806	0.915
1807	1.598
1808	0.693
1809	0.417
1810	0.572
1811	0.707
1812	0.829
1813	1.053
1814	0.959
1815	1.342
1816	1.216
1817	1.435
1818	1.026
1819	1.277
1820	0.821
1821	0.763
1822	0.903
1823	0.877
1824	0.854
1825	1.164
1826	1.165
1827	1.152
1828	1.186
1829	1.206
1830	1.583
1831	1.115
1832	1.096
1833	1.233
1834	1.366
1835	1.143
1836	1.409
1837	1.012
1838	0.942
1839	0.819
1840	1.189
1841	0.933
1842	0.971
1843	1.078
1844	0.807
1845	1.246
1846	1.292
1847	0.99
1848	1.201
1849	0.972
1850	0.801
1851	1.021
1852	1.009
1853	0.889
1854	0.926
1855	1.003
1856	1.232
1857	0.968
1858	1.077
1859	1.272
1860	1.363
1861	1.48
1862	0.97
1863	0.898
1864	1.033
1865	0.917
1866	1.109
1867	1.208
1868	1.076
1869	1.01
1870	1.507
1871	1.001
1872	0.552
1873	0.457
1874	0.672
1875	0.784
1876	0.596
1877	0.686
1878	0.823
1879	0.994
1880	1.063
1881	1.05
1882	1.101
1883	1.237
1884	1.192
1885	1.011
1886	1.328
1887	1.091
1888	1.172
1889	1.264
1890	1.402
1891	1.403
1892	1.588
1893	1.158
1894	1.293
1895	1.021
1896	1.15
1897	0.988
1898	1.043
1899	0.882
1900	1.008
1901	0.966
1902	0.972
1903	1.367
1904	1.569
1905	1.296
1906	1.496
1907	1.075
1908	1.073
1909	0.765
1910	0.856
1911	0.738
1912	0.727
1913	0.935
1914	0.74
1915	0.906
1916	1.01
1917	0.756
1918	0.659
1919	0.876
1920	0.839
1921	0.834
1922	0.737
1923	0.749
1924	1.121
1925	1.19
1926	1.161
1927	1.202
1928	1.265
1929	1.046
1930	1.172
1931	1.371
1932	1.268
1933	1.017
1934	1.062
1935	0.832
1936	0.715
1937	0.845
1938	0.759
1939	0.933
1940	0.778
1941	0.931
1942	0.874
1943	0.774
1944	0.978
1945	1.005
1946	1.005
1947	1.007
1948	0.559
1949	0.954
1950	0.799
1951	0.745
1952	0.987
1953	0.802
1954	0.778
1955	1.067
1956	0.619
1957	0.896
1958	1.137
1959	0.573
1960	0.432
1961	0.599
1962	0.513
1963	0.656
1964	0.755
1965	0.647
1966	0.48
1967	0.621
1968	0.491
1969	0.647
1970	0.734
1971	0.949
1972	0.857
1973	0.773
1974	0.553
1975	0.664
1976	0.838