# northamerica_usa_az080 - Spider Rock Canyon de Chelly - 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:
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# Online_Resource: https://www.ncdc.noaa.gov/paleo/study/24611
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# Original_Source_URL:https://www.ncdc.noaa.gov/paleo/study/3108
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# 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_az080 - Spider Rock Canyon de Chelly - 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 VaganovÃÂ¢ÃÂÃÂShashkin 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 4ÃÂ¢ÃÂÃÂ6 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 modelÃÂ¢ÃÂÃÂs 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.
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# 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: Spider Rock Canyon de Chelly
#	Location:
#	Country: United States
#	Northernmost_Latitude: 36.1
#	Southernmost_Latitude: 36.1
#	Easternmost_Longitude: -109.35
#	Westernmost_Longitude: -109.35
#	Elevation: 1905 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_az080B
#	Earliest_Year: 1664
#	Most_Recent_Year: 1971
#	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":"4.84125691352","T2":"16.9019531477","M1":"0.0235995393937","M2":"0.434940693924"}}
#--------------------
# Species
#	Species_Name: Douglas fir
#	Species_Code: PSME
#--------------------
# Chronology:
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#
#--------------------
# 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
1664	0.453
1665	1.164
1666	0.871
1667	0.703
1668	0.438
1669	0.556
1670	0.177
1671	0.469
1672	0.676
1673	1.084
1674	1.355
1675	0.977
1676	0.965
1677	0.94
1678	1.46
1679	0.725
1680	1.162
1681	1.473
1682	1.185
1683	1.413
1684	0.945
1685	0.315
1686	1.013
1687	0.927
1688	1.216
1689	1.299
1690	1.148
1691	1.254
1692	1.219
1693	1.697
1694	1.187
1695	1.159
1696	0.619
1697	0.726
1698	1.326
1699	1.31
1700	0.386
1701	1.201
1702	0.889
1703	1.069
1704	0.743
1705	1.008
1706	1.176
1707	0.663
1708	0.911
1709	0.741
1710	1.267
1711	1.151
1712	1.334
1713	0.612
1714	1.168
1715	1.07
1716	0.728
1717	0.624
1718	0.959
1719	1.355
1720	1.985
1721	1.902
1722	1.238
1723	1.457
1724	0.892
1725	1.707
1726	1.867
1727	1.596
1728	0.605
1729	0.118
1730	0.537
1731	0.738
1732	0.902
1733	0.964
1734	0.635
1735	0.273
1736	0.761
1737	0.58
1738	0.745
1739	0.395
1740	0.417
1741	0.727
1742	0.575
1743	1.35
1744	1.338
1745	1.479
1746	2.182
1747	2.464
1748	0.95
1749	1.749
1750	1.181
1751	0.94
1752	0.743
1753	0.175
1754	0.533
1755	0.359
1756	0.363
1757	0.538
1758	0.677
1759	0.98
1760	1.077
1761	0.876
1762	0.915
1763	0.818
1764	1.179
1765	0.892
1766	1.516
1767	1.232
1768	1.453
1769	1.197
1770	0.964
1771	1.347
1772	1.143
1773	0.512
1774	0.877
1775	0.517
1776	0.495
1777	0.448
1778	0.35
1779	0.655
1780	0.313
1781	0.561
1782	0.509
1783	0.956
1784	1.291
1785	1.022
1786	0.965
1787	1.272
1788	0.502
1789	0.59
1790	0.255
1791	1.114
1792	1.272
1793	1.293
1794	1.04
1795	0.697
1796	1.009
1797	1.444
1798	1.21
1799	1.338
1800	1.186
1801	0.538
1802	1.226
1803	1.079
1804	1.241
1805	0.7
1806	0.493
1807	1.095
1808	0.68
1809	0.767
1810	0.303
1811	0.652
1812	0.915
1813	0.461
1814	0.735
1815	0.991
1816	1.68
1817	1.328
1818	0.302
1819	0.285
1820	0.189
1821	0.959
1822	0.189
1823	0.421
1824	0.607
1825	0.899
1826	0.993
1827	0.998
1828	1.388
1829	0.725
1830	1.129
1831	1.009
1832	0.491
1833	1.132
1834	0.754
1835	1.443
1836	1.158
1837	1.374
1838	1.453
1839	1.897
1840	1.624
1841	0.972
1842	0.45
1843	0.74
1844	1.219
1845	0.907
1846	0.73
1847	0.17
1848	0.965
1849	1.133
1850	1.45
1851	0.638
1852	1.299
1853	1.433
1854	1.112
1855	1.759
1856	1.333
1857	1.012
1858	1.512
1859	1.188
1860	0.704
1861	0.186
1862	0.766
1863	0.864
1864	0.723
1865	0.997
1866	1.336
1867	1.774
1868	1.553
1869	2.095
1870	1.559
1871	1.438
1872	0.544
1873	0.744
1874	0.903
1875	0.627
1876	0.923
1877	1.075
1878	1.169
1879	1.325
1880	0.969
1881	0.77
1882	0.984
1883	1.047
1884	1.14
1885	1.214
1886	1.042
1887	0.694
1888	1.279
1889	1.298
1890	1.498
1891	1.404
1892	1.638
1893	0.773
1894	0.422
1895	0.7
1896	0.453
1897	0.696
1898	0.716
1899	0.305
1900	0.586
1901	0.587
1902	0.025
1903	0.737
1904	0.532
1905	0.903
1906	1.066
1907	1.409
1908	1.093
1909	1.473
1910	1.202
1911	1.729
1912	2.031
1913	0.984
1914	1.514
1915	1.766
1916	1.401
1917	1.489
1918	0.898
1919	1.522
1920	1.742
1921	1.29
1922	1.572
1923	0.978
1924	1.376
1925	0.968
1926	1.549
1927	1.208
1928	1.08
1929	0.944
1930	1.141
1931	1.164
1932	1.201
1933	0.687
1934	0.758
1935	0.79
1936	0.71
1937	1.065
1938	1.11
1939	0.937
1940	0.98
1941	1.275
1942	1.432
1943	1.142
1944	1.345
1945	1.091
1946	0.757
1947	0.847
1948	1.212
1949	1.237
1950	0.6
1951	0.141
1952	0.905
1953	0.549
1954	0.402
1955	0.527
1956	0.408
1957	0.493
1958	0.646
1959	0.149
1960	0.665
1961	0.568
1962	0.718
1963	0.862
1964	0.602
1965	1.117
1966	1.089
1967	0.453
1968	1.005
1969	0.893
1970	1.092
1971	0.726