# northamerica_usa_mo046 - Brickyard Conservation Area, Loess Hills - 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/4958
#
# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: northamerica_usa_mo046 - Brickyard Conservation Area, Loess Hills - 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: Brickyard Conservation Area, Loess Hills
#	Location:
#	Country: United States
#	Northernmost_Latitude: 40.48
#	Southernmost_Latitude: 40.48
#	Easternmost_Longitude: -95.57
#	Westernmost_Longitude: -95.57
#	Elevation: 350 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_mo046B
#	Earliest_Year: 1696
#	Most_Recent_Year: 2004
#	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":"4.67979908225","T2":"16.2231307535","M1":"0.0224118087292","M2":"0.516793472428"}}
#--------------------
# Species
#	Species_Name: burr oak
#	Species_Code: QUMA
#--------------------
# 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
1696	1.47
1697	1.65
1698	1.251
1699	0.704
1700	0.563
1701	0.712
1702	0.982
1703	1.066
1704	1.168
1705	1.737
1706	1.657
1707	1.097
1708	0.976
1709	1.194
1710	0.906
1711	0.743
1712	1.274
1713	1.405
1714	0.84
1715	1.207
1716	1.537
1717	1.394
1718	1.557
1719	0.995
1720	1.46
1721	0.839
1722	1.127
1723	1.028
1724	0.911
1725	1.366
1726	1.22
1727	0.878
1728	1.089
1729	1.134
1730	1.126
1731	0.9
1732	1.275
1733	0.986
1734	0.941
1735	0.971
1736	0.717
1737	0.716
1738	0.993
1739	0.86
1740	0.554
1741	0.492
1742	0.446
1743	0.41
1744	0.329
1745	0.533
1746	0.432
1747	0.699
1748	0.838
1749	0.734
1750	0.869
1751	0.746
1752	0.84
1753	0.591
1754	0.691
1755	0.688
1756	0.882
1757	0.756
1758	0.704
1759	0.639
1760	0.765
1761	0.748
1762	0.817
1763	0.968
1764	0.945
1765	1.414
1766	1.793
1767	1.182
1768	1.268
1769	0.878
1770	1.048
1771	0.927
1772	0.772
1773	0.835
1774	0.495
1775	0.763
1776	0.783
1777	0.749
1778	1.194
1779	1.32
1780	1.603
1781	1.807
1782	1.097
1783	1.24
1784	1.265
1785	0.88
1786	0.821
1787	0.524
1788	0.563
1789	0.562
1790	0.684
1791	0.642
1792	0.987
1793	1.036
1794	0.804
1795	1.085
1796	1.06
1797	1.073
1798	0.938
1799	1.044
1800	0.694
1801	0.667
1802	0.893
1803	0.793
1804	1.008
1805	1.145
1806	0.901
1807	0.985
1808	0.921
1809	0.798
1810	0.941
1811	0.724
1812	0.58
1813	0.549
1814	0.813
1815	0.587
1816	0.896
1817	1.053
1818	1.039
1819	0.736
1820	0.571
1821	0.528
1822	0.489
1823	0.411
1824	0.412
1825	0.49
1826	0.601
1827	0.763
1828	0.828
1829	0.748
1830	0.898
1831	0.944
1832	1.256
1833	1.166
1834	1.108
1835	1.024
1836	0.955
1837	0.995
1838	0.849
1839	0.858
1840	0.855
1841	0.772
1842	0.802
1843	0.901
1844	0.604
1845	0.635
1846	0.839
1847	0.853
1848	0.664
1849	0.595
1850	0.661
1851	0.666
1852	0.775
1853	0.911
1854	1.072
1855	0.901
1856	0.963
1857	0.85
1858	0.774
1859	0.777
1860	0.885
1861	0.849
1862	1.101
1863	1.446
1864	1.425
1865	1.452
1866	1.759
1867	1.768
1868	1.523
1869	1.653
1870	1.424
1871	1.214
1872	1.435
1873	1.007
1874	0.767
1875	1.426
1876	1.803
1877	1.552
1878	1.677
1879	1.286
1880	1.153
1881	1.146
1882	1.164
1883	1.117
1884	0.997
1885	1.251
1886	1.129
1887	0.926
1888	1.117
1889	0.97
1890	0.713
1891	1.019
1892	0.93
1893	0.994
1894	0.776
1895	0.716
1896	0.757
1897	0.888
1898	1.029
1899	1.038
1900	0.794
1901	0.879
1902	0.655
1903	0.971
1904	1.115
1905	0.904
1906	0.979
1907	1.079
1908	1.062
1909	1.01
1910	0.604
1911	0.672
1912	0.854
1913	0.775
1914	0.535
1915	1.019
1916	1.115
1917	1.087
1918	0.85
1919	1.199
1920	1.319
1921	1.063
1922	1.011
1923	1.022
1924	1.363
1925	0.949
1926	0.745
1927	1.195
1928	1.224
1929	1.041
1930	0.937
1931	0.866
1932	1.539
1933	1.008
1934	0.614
1935	1.148
1936	1.086
1937	1.075
1938	0.785
1939	0.863
1940	0.702
1941	1.067
1942	1.185
1943	1.03
1944	1.143
1945	1.353
1946	1.188
1947	1.207
1948	1.013
1949	1.195
1950	1.056
1951	1.159
1952	1.131
1953	1.214
1954	1.037
1955	0.921
1956	0.816
1957	0.913
1958	0.78
1959	1.015
1960	1.153
1961	1.156
1962	1.21
1963	1.125
1964	1.158
1965	1.186
1966	0.919
1967	1.004
1968	0.74
1969	1.209
1970	0.771
1971	0.714
1972	0.732
1973	1.063
1974	1.07
1975	1.255
1976	0.921
1977	0.637
1978	0.942
1979	0.891
1980	0.872
1981	0.64
1982	1.096
1983	0.8
1984	0.897
1985	0.65
1986	0.75
1987	0.941
1988	0.615
1989	0.53
1990	1.0
1991	0.886
1992	0.832
1993	0.842
1994	0.835
1995	0.917
1996	0.938
1997	0.954
1998	0.939
1999	0.949
2000	0.8
2001	1.047
2002	0.554
2003	0.563
2004	0.713