# northamerica_usa_ia024 - Pammel State Park - 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/3177
#
# 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_ia024 - Pammel State Park - 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: Pammel State Park
#	Location:
#	Country: United States
#	Northernmost_Latitude: 41.28
#	Southernmost_Latitude: 41.28
#	Easternmost_Longitude: -94.07
#	Westernmost_Longitude: -94.07
#	Elevation: 305 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_ia024B
#	Earliest_Year: 1651
#	Most_Recent_Year: 1981
#	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":"3.83235356713","T2":"15.2796260738","M1":"0.0228625492686","M2":"0.571404868173"}}
#--------------------
# Species
#	Species_Name: white oak
#	Species_Code: QUAL
#--------------------
# 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
1651	1.623
1652	1.428
1653	1.97
1654	1.548
1655	0.87
1656	1.223
1657	1.033
1658	0.881
1659	0.942
1660	1.249
1661	0.986
1662	0.978
1663	1.026
1664	0.672
1665	0.585
1666	0.768
1667	0.781
1668	0.729
1669	1.088
1670	0.684
1671	0.991
1672	1.094
1673	1.015
1674	0.897
1675	0.718
1676	1.222
1677	0.886
1678	1.101
1679	1.04
1680	1.035
1681	0.982
1682	0.941
1683	1.29
1684	1.13
1685	0.767
1686	0.826
1687	0.968
1688	0.795
1689	0.614
1690	1.055
1691	0.758
1692	0.783
1693	0.902
1694	1.32
1695	1.15
1696	0.796
1697	0.655
1698	0.432
1699	0.661
1700	0.783
1701	0.891
1702	0.75
1703	0.83
1704	0.501
1705	0.772
1706	0.78
1707	1.055
1708	0.717
1709	0.972
1710	0.893
1711	1.178
1712	1.017
1713	1.087
1714	0.847
1715	1.027
1716	0.817
1717	0.78
1718	0.481
1719	0.647
1720	0.876
1721	0.687
1722	1.071
1723	1.079
1724	0.654
1725	0.709
1726	0.948
1727	0.929
1728	0.911
1729	0.965
1730	1.036
1731	0.775
1732	1.202
1733	1.13
1734	0.867
1735	1.027
1736	0.394
1737	0.526
1738	0.945
1739	0.872
1740	0.884
1741	0.919
1742	0.614
1743	0.612
1744	0.548
1745	1.109
1746	1.099
1747	1.154
1748	1.004
1749	1.13
1750	1.24
1751	1.081
1752	0.961
1753	0.985
1754	1.127
1755	0.964
1756	0.891
1757	0.792
1758	0.619
1759	0.966
1760	0.734
1761	1.092
1762	1.067
1763	1.061
1764	1.164
1765	0.888
1766	1.237
1767	1.089
1768	0.957
1769	0.965
1770	0.937
1771	0.899
1772	0.821
1773	0.86
1774	1.436
1775	1.396
1776	1.034
1777	1.292
1778	1.072
1779	1.322
1780	0.93
1781	1.224
1782	0.949
1783	0.891
1784	0.894
1785	0.71
1786	0.888
1787	0.89
1788	0.777
1789	0.658
1790	0.559
1791	0.655
1792	0.875
1793	0.845
1794	1.01
1795	0.817
1796	0.77
1797	0.853
1798	0.64
1799	0.771
1800	0.393
1801	1.108
1802	1.497
1803	1.088
1804	1.109
1805	1.065
1806	1.06
1807	1.076
1808	0.936
1809	0.732
1810	1.002
1811	1.076
1812	0.897
1813	0.97
1814	1.274
1815	1.074
1816	0.686
1817	0.927
1818	0.858
1819	0.825
1820	0.632
1821	0.579
1822	0.765
1823	0.764
1824	0.748
1825	0.867
1826	0.815
1827	0.921
1828	1.055
1829	0.754
1830	0.992
1831	1.154
1832	1.255
1833	1.362
1834	1.015
1835	1.063
1836	1.075
1837	1.022
1838	0.754
1839	0.903
1840	1.038
1841	1.042
1842	0.94
1843	0.941
1844	1.08
1845	0.836
1846	0.901
1847	0.909
1848	0.821
1849	0.892
1850	1.035
1851	1.252
1852	0.975
1853	1.003
1854	0.973
1855	0.662
1856	0.784
1857	0.651
1858	0.983
1859	1.006
1860	0.645
1861	0.984
1862	0.996
1863	0.942
1864	0.85
1865	1.002
1866	1.024
1867	0.986
1868	1.006
1869	1.231
1870	0.94
1871	0.974
1872	1.308
1873	1.027
1874	0.831
1875	1.204
1876	1.391
1877	1.444
1878	1.368
1879	1.3
1880	1.407
1881	1.45
1882	1.431
1883	1.405
1884	1.551
1885	1.588
1886	1.108
1887	1.075
1888	1.347
1889	1.525
1890	0.787
1891	1.197
1892	1.438
1893	1.151
1894	0.752
1895	0.904
1896	1.443
1897	1.714
1898	1.416
1899	1.077
1900	0.924
1901	1.0
1902	1.217
1903	1.415
1904	1.348
1905	1.175
1906	1.095
1907	1.451
1908	1.284
1909	1.283
1910	0.744
1911	0.835
1912	1.134
1913	1.102
1914	0.829
1915	1.289
1916	1.223
1917	0.979
1918	0.819
1919	1.049
1920	1.171
1921	1.014
1922	1.149
1923	1.003
1924	1.104
1925	0.711
1926	0.776
1927	0.921
1928	1.297
1929	0.831
1930	0.961
1931	0.711
1932	1.333
1933	0.735
1934	0.51
1935	1.046
1936	0.797
1937	0.813
1938	0.679
1939	0.664
1940	0.551
1941	0.858
1942	0.984
1943	0.935
1944	0.962
1945	1.189
1946	0.845
1947	1.014
1948	0.717
1949	1.088
1950	0.952
1951	1.09
1952	0.909
1953	1.005
1954	0.739
1955	0.724
1956	0.525
1957	0.813
1958	0.867
1959	0.972
1960	0.905
1961	1.012
1962	0.93
1963	0.786
1964	1.052
1965	1.122
1966	0.985
1967	0.841
1968	0.75
1969	1.147
1970	0.834
1971	0.848
1972	0.846
1973	1.02
1974	0.973
1975	1.025
1976	1.016
1977	0.514
1978	1.071
1979	0.909
1980	0.781
1981	0.942