# northamerica_usa_az129 - Kaibab Plateau - 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/5023
#
# 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_az129 - Kaibab Plateau - 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: Kaibab Plateau
#	Location:
#	Country: United States
#	Northernmost_Latitude: 36.63
#	Southernmost_Latitude: 36.63
#	Easternmost_Longitude: -112.1
#	Westernmost_Longitude: -112.1
#	Elevation: 2100 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_az129B
#	Earliest_Year: 1638
#	Most_Recent_Year: 1976
#	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":"4.17766744491","T2":"16.3028042917","M1":"0.0230861983053","M2":"0.482808916152"}}
#--------------------
# Species
#	Species_Name: pinyon pine
#	Species_Code: PIED
#--------------------
# 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
1638	0.781
1639	1.073
1640	1.387
1641	1.245
1642	1.166
1643	1.015
1644	1.099
1645	0.997
1646	0.756
1647	1.048
1648	0.761
1649	1.079
1650	0.968
1651	1.323
1652	0.648
1653	0.807
1654	0.323
1655	1.032
1656	1.104
1657	0.967
1658	1.024
1659	1.393
1660	1.159
1661	1.392
1662	1.312
1663	1.19
1664	1.344
1665	1.304
1666	1.148
1667	1.07
1668	0.855
1669	1.131
1670	0.335
1671	0.594
1672	1.045
1673	1.078
1674	1.15
1675	0.839
1676	1.128
1677	1.112
1678	1.134
1679	1.154
1680	1.177
1681	1.224
1682	1.189
1683	1.284
1684	0.469
1685	0.653
1686	0.312
1687	1.078
1688	0.992
1689	1.036
1690	0.815
1691	0.811
1692	1.077
1693	0.97
1694	0.868
1695	0.951
1696	0.971
1697	0.898
1698	0.878
1699	0.891
1700	0.637
1701	1.054
1702	0.884
1703	0.422
1704	1.006
1705	1.126
1706	1.155
1707	0.448
1708	0.745
1709	0.915
1710	1.3
1711	1.051
1712	0.991
1713	0.748
1714	0.811
1715	1.059
1716	0.631
1717	0.956
1718	1.399
1719	1.382
1720	1.888
1721	1.257
1722	0.83
1723	1.392
1724	1.051
1725	1.572
1726	1.978
1727	1.479
1728	1.02
1729	0.435
1730	1.174
1731	0.915
1732	0.975
1733	0.686
1734	1.222
1735	0.56
1736	0.442
1737	0.638
1738	1.107
1739	0.752
1740	0.678
1741	0.91
1742	0.391
1743	1.296
1744	0.947
1745	1.15
1746	1.417
1747	1.384
1748	0.464
1749	1.35
1750	0.584
1751	0.868
1752	0.463
1753	1.014
1754	1.322
1755	1.107
1756	1.064
1757	0.946
1758	1.187
1759	1.353
1760	1.085
1761	0.775
1762	1.07
1763	0.723
1764	1.21
1765	1.132
1766	1.0
1767	1.015
1768	1.091
1769	0.912
1770	1.028
1771	1.443
1772	0.861
1773	0.319
1774	0.807
1775	1.024
1776	0.638
1777	0.515
1778	0.642
1779	0.866
1780	0.783
1781	0.547
1782	0.834
1783	1.098
1784	1.551
1785	0.732
1786	1.058
1787	1.603
1788	1.238
1789	0.726
1790	1.373
1791	1.671
1792	1.232
1793	1.705
1794	1.168
1795	1.412
1796	0.741
1797	0.958
1798	0.68
1799	1.314
1800	0.811
1801	0.642
1802	1.688
1803	0.747
1804	1.196
1805	0.36
1806	0.709
1807	1.429
1808	0.8
1809	0.823
1810	0.943
1811	1.62
1812	1.048
1813	-0.062
1814	0.991
1815	1.06
1816	1.248
1817	1.023
1818	0.665
1819	1.03
1820	0.205
1821	1.1
1822	0.538
1823	0.983
1824	1.06
1825	1.112
1826	0.951
1827	0.81
1828	1.208
1829	0.329
1830	1.061
1831	0.887
1832	1.03
1833	1.431
1834	1.13
1835	1.323
1836	0.713
1837	1.48
1838	1.209
1839	1.479
1840	1.272
1841	0.655
1842	0.671
1843	1.047
1844	0.935
1845	0.721
1846	0.859
1847	-0.062
1848	1.578
1849	1.531
1850	1.505
1851	1.108
1852	1.38
1853	1.352
1854	0.886
1855	1.198
1856	0.989
1857	0.887
1858	0.927
1859	0.577
1860	0.724
1861	1.15
1862	0.7
1863	0.601
1864	0.914
1865	1.051
1866	1.068
1867	1.261
1868	1.345
1869	1.073
1870	0.496
1871	-0.061
1872	1.493
1873	0.716
1874	1.526
1875	1.115
1876	0.671
1877	0.795
1878	1.071
1879	-0.061
1880	0.425
1881	0.246
1882	0.825
1883	0.612
1884	1.333
1885	1.405
1886	1.143
1887	0.639
1888	1.213
1889	1.345
1890	1.514
1891	1.297
1892	1.42
1893	1.124
1894	1.043
1895	1.008
1896	-0.061
1897	1.417
1898	1.255
1899	0.057
1900	0.865
1901	0.909
1902	0.271
1903	1.428
1904	0.237
1905	1.223
1906	1.379
1907	1.327
1908	1.234
1909	1.071
1910	1.023
1911	1.472
1912	1.232
1913	1.185
1914	1.175
1915	1.071
1916	0.981
1917	1.448
1918	0.781
1919	1.36
1920	1.368
1921	0.469
1922	1.133
1923	1.305
1924	1.059
1925	0.775
1926	1.27
1927	0.928
1928	1.089
1929	0.277
1930	0.296
1931	0.701
1932	1.049
1933	1.063
1934	0.836
1935	1.045
1936	0.528
1937	1.251
1938	1.291
1939	0.848
1940	1.212
1941	1.363
1942	1.14
1943	0.942
1944	0.939
1945	0.725
1946	0.351
1947	0.637
1948	1.354
1949	1.078
1950	0.717
1951	0.168
1952	1.331
1953	0.816
1954	1.13
1955	0.669
1956	0.621
1957	1.106
1958	1.204
1959	0.866
1960	1.345
1961	1.198
1962	1.02
1963	1.1
1964	0.932
1965	1.211
1966	1.097
1967	1.14
1968	0.947
1969	1.306
1970	0.904
1971	0.593
1972	0.889
1973	1.347
1974	0.385
1975	1.441
1976	1.41