# northamerica_usa_az099 - Hay Hollow Valley - 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.
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# 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/3081
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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_az099 - Hay Hollow Valley - 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.
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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
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# Site_Information
#	Site_Name: Hay Hollow Valley
#	Location:
#	Country: United States
#	Northernmost_Latitude: 34.5
#	Southernmost_Latitude: 34.5
#	Easternmost_Longitude: -109.95
#	Westernmost_Longitude: -109.95
#	Elevation: 1780 m
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# Data_Collection
#	Collection_Name: northamerica_usa_az099B
#	Earliest_Year: 1700
#	Most_Recent_Year: 1973
#	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":"3.12232778933","T2":"15.9446541138","M1":"0.0241716950447","M2":"0.439579231158"}}
#--------------------
# Species
#	Species_Name: pinyon pine
#	Species_Code: PIED
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# 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
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# Data:
# Data lines follow (have no #)
# Data line format - tab-delimited text, variable short name as header
# Missing Values: nan
#
age	trsgi
1700	0.971
1701	1.012
1702	0.934
1703	0.84
1704	0.681
1705	0.717
1706	1.376
1707	0.401
1708	0.88
1709	1.092
1710	1.315
1711	1.251
1712	1.201
1713	0.991
1714	1.193
1715	0.799
1716	0.416
1717	0.795
1718	1.155
1719	0.618
1720	1.094
1721	0.891
1722	1.147
1723	1.109
1724	0.182
1725	0.865
1726	1.655
1727	1.213
1728	0.005
1729	0.131
1730	0.617
1731	0.802
1732	1.108
1733	0.774
1734	1.0
1735	0.974
1736	1.252
1737	1.012
1738	0.969
1739	0.693
1740	0.783
1741	0.59
1742	0.89
1743	1.385
1744	0.659
1745	1.189
1746	1.588
1747	1.264
1748	0.002
1749	1.317
1750	1.065
1751	0.887
1752	0.392
1753	0.192
1754	1.158
1755	0.977
1756	0.802
1757	1.022
1758	1.153
1759	1.236
1760	0.698
1761	0.986
1762	1.372
1763	0.975
1764	1.586
1765	1.372
1766	1.95
1767	0.865
1768	1.675
1769	1.03
1770	1.491
1771	1.616
1772	0.448
1773	-0.001
1774	0.178
1775	1.053
1776	1.346
1777	1.575
1778	0.815
1779	0.989
1780	1.133
1781	0.105
1782	0.227
1783	0.392
1784	1.083
1785	1.475
1786	0.267
1787	0.784
1788	1.408
1789	0.317
1790	0.604
1791	0.758
1792	1.027
1793	1.016
1794	1.706
1795	0.513
1796	1.301
1797	1.173
1798	0.73
1799	0.938
1800	1.316
1801	1.306
1802	1.274
1803	1.246
1804	1.283
1805	0.789
1806	0.154
1807	1.08
1808	1.099
1809	1.035
1810	0.498
1811	0.771
1812	1.163
1813	1.079
1814	1.646
1815	1.633
1816	2.093
1817	1.39
1818	0.874
1819	0.066
1820	0.193
1821	0.978
1822	0.617
1823	0.114
1824	1.077
1825	1.213
1826	1.635
1827	1.136
1828	1.216
1829	0.823
1830	1.456
1831	0.563
1832	0.625
1833	1.538
1834	1.466
1835	1.9
1836	0.892
1837	1.826
1838	1.889
1839	2.01
1840	1.756
1841	1.667
1842	0.596
1843	0.368
1844	1.667
1845	1.255
1846	1.055
1847	-0.002
1848	0.965
1849	2.002
1850	1.574
1851	0.926
1852	1.627
1853	1.166
1854	1.205
1855	1.213
1856	1.313
1857	-0.002
1858	1.636
1859	0.992
1860	0.906
1861	0.34
1862	0.981
1863	1.029
1864	0.372
1865	1.329
1866	1.664
1867	1.082
1868	1.605
1869	1.401
1870	0.912
1871	0.324
1872	0.813
1873	0.224
1874	1.391
1875	1.251
1876	1.264
1877	1.246
1878	1.0
1879	1.054
1880	0.889
1881	0.753
1882	1.344
1883	0.977
1884	0.937
1885	1.271
1886	0.427
1887	1.165
1888	1.165
1889	1.402
1890	0.899
1891	1.234
1892	0.452
1893	-0.002
1894	0.146
1895	0.399
1896	0.96
1897	1.067
1898	0.679
1899	-0.002
1900	0.198
1901	0.812
1902	-0.002
1903	0.884
1904	-0.002
1905	1.214
1906	1.647
1907	1.395
1908	1.641
1909	0.819
1910	0.888
1911	1.598
1912	1.429
1913	0.184
1914	0.641
1915	1.586
1916	1.214
1917	1.081
1918	0.343
1919	1.983
1920	1.87
1921	0.914
1922	1.396
1923	0.833
1924	1.579
1925	0.392
1926	1.284
1927	0.762
1928	0.685
1929	0.634
1930	1.0
1931	1.153
1932	1.291
1933	1.319
1934	1.312
1935	0.798
1936	0.98
1937	1.417
1938	0.649
1939	0.349
1940	0.624
1941	1.227
1942	1.097
1943	0.311
1944	1.219
1945	0.421
1946	0.0
1947	0.788
1948	1.111
1949	0.852
1950	0.221
1951	0.0
1952	1.419
1953	1.23
1954	0.657
1955	0.156
1956	0.54
1957	0.136
1958	0.68
1959	0.396
1960	1.231
1961	0.416
1962	1.051
1963	0.21
1964	0.424
1965	1.396
1966	0.43
1967	0.245
1968	1.339
1969	1.495
1970	1.173
1971	0.226
1972	1.605
1973	2.113