# northamerica_usa_nm035 - Agua Fria Creek - 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/3061
#
# 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_nm035 - Agua Fria Creek - 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: Agua Fria Creek
#	Location:
#	Country: United States
#	Northernmost_Latitude: 34.22
#	Southernmost_Latitude: 34.22
#	Easternmost_Longitude: -108.63
#	Westernmost_Longitude: -108.63
#	Elevation: 2195 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_nm035B
#	Earliest_Year: 1652
#	Most_Recent_Year: 1972
#	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":"3.58389762381","T2":"15.2954689649","M1":"0.0237791135414","M2":"0.516929187188"}}
#--------------------
# 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
1652	1.014
1653	0.833
1654	0.504
1655	0.977
1656	0.897
1657	0.961
1658	0.67
1659	0.839
1660	1.451
1661	1.533
1662	1.685
1663	1.53
1664	0.92
1665	1.313
1666	1.526
1667	0.87
1668	0.903
1669	0.678
1670	0.545
1671	1.022
1672	1.357
1673	0.926
1674	0.803
1675	1.028
1676	0.615
1677	1.026
1678	0.305
1679	0.959
1680	1.353
1681	0.819
1682	0.873
1683	1.247
1684	0.618
1685	0.3
1686	0.716
1687	1.062
1688	1.004
1689	0.986
1690	1.261
1691	0.898
1692	1.454
1693	1.184
1694	1.372
1695	1.486
1696	0.971
1697	0.884
1698	0.816
1699	1.284
1700	1.241
1701	1.344
1702	1.194
1703	1.041
1704	0.969
1705	1.216
1706	1.236
1707	0.811
1708	0.62
1709	0.856
1710	1.036
1711	0.915
1712	1.329
1713	0.894
1714	0.679
1715	0.792
1716	0.851
1717	0.96
1718	1.042
1719	1.033
1720	1.704
1721	0.875
1722	1.151
1723	1.339
1724	1.123
1725	1.127
1726	1.5
1727	1.175
1728	0.342
1729	0.199
1730	0.853
1731	1.153
1732	0.983
1733	0.38
1734	0.866
1735	0.953
1736	1.188
1737	0.878
1738	1.0
1739	0.183
1740	0.522
1741	0.799
1742	1.168
1743	1.416
1744	0.93
1745	1.355
1746	1.566
1747	1.52
1748	-0.041
1749	1.05
1750	0.675
1751	0.952
1752	1.173
1753	1.015
1754	1.385
1755	1.281
1756	0.408
1757	0.566
1758	1.363
1759	1.654
1760	1.042
1761	1.184
1762	1.236
1763	0.869
1764	1.065
1765	0.829
1766	1.023
1767	1.315
1768	1.454
1769	0.531
1770	0.941
1771	1.578
1772	1.065
1773	0.178
1774	0.388
1775	1.016
1776	1.118
1777	0.347
1778	0.856
1779	0.788
1780	0.951
1781	0.866
1782	0.317
1783	1.227
1784	1.42
1785	0.527
1786	0.801
1787	1.503
1788	0.629
1789	0.675
1790	1.639
1791	1.655
1792	1.6
1793	2.065
1794	1.321
1795	1.33
1796	0.633
1797	0.685
1798	0.916
1799	0.415
1800	0.765
1801	1.189
1802	1.048
1803	0.824
1804	1.209
1805	0.504
1806	-0.042
1807	1.122
1808	0.596
1809	1.143
1810	0.966
1811	0.598
1812	0.505
1813	0.555
1814	1.112
1815	1.414
1816	1.871
1817	1.896
1818	1.092
1819	0.253
1820	0.675
1821	0.469
1822	-0.042
1823	0.25
1824	0.216
1825	0.545
1826	0.371
1827	0.741
1828	1.221
1829	0.581
1830	1.022
1831	0.977
1832	1.139
1833	1.367
1834	1.291
1835	1.225
1836	0.995
1837	1.439
1838	1.178
1839	1.617
1840	0.953
1841	0.488
1842	0.51
1843	0.941
1844	1.547
1845	1.024
1846	1.289
1847	0.476
1848	0.666
1849	1.328
1850	1.431
1851	0.418
1852	1.176
1853	1.146
1854	1.106
1855	1.715
1856	1.374
1857	0.191
1858	0.68
1859	0.544
1860	0.983
1861	0.57
1862	0.257
1863	0.317
1864	0.505
1865	0.99
1866	0.951
1867	1.365
1868	1.818
1869	1.778
1870	0.777
1871	0.618
1872	-0.042
1873	0.444
1874	0.869
1875	0.576
1876	0.785
1877	0.968
1878	1.122
1879	0.729
1880	0.383
1881	0.29
1882	1.054
1883	0.132
1884	0.426
1885	-0.017
1886	-0.042
1887	0.628
1888	0.909
1889	1.269
1890	0.821
1891	1.039
1892	1.333
1893	0.184
1894	0.542
1895	0.575
1896	0.851
1897	1.023
1898	1.292
1899	-0.042
1900	0.189
1901	0.212
1902	-0.042
1903	0.353
1904	-0.042
1905	1.124
1906	1.213
1907	1.631
1908	1.73
1909	1.23
1910	1.059
1911	1.545
1912	1.92
1913	1.14
1914	1.939
1915	2.442
1916	2.152
1917	1.963
1918	0.874
1919	2.226
1920	2.132
1921	0.806
1922	1.122
1923	1.569
1924	2.134
1925	0.366
1926	1.749
1927	1.405
1928	1.457
1929	0.901
1930	2.05
1931	2.002
1932	2.485
1933	1.864
1934	1.493
1935	2.151
1936	0.715
1937	1.017
1938	1.092
1939	1.47
1940	1.147
1941	1.97
1942	1.463
1943	1.535
1944	0.903
1945	1.38
1946	0.817
1947	1.289
1948	1.511
1949	0.83
1950	-0.017
1951	-0.041
1952	0.576
1953	0.554
1954	0.218
1955	-0.041
1956	0.707
1957	0.393
1958	0.651
1959	-0.041
1960	1.106
1961	0.656
1962	0.616
1963	0.787
1964	0.412
1965	0.595
1966	0.315
1967	0.533
1968	0.648
1969	0.676
1970	0.613
1971	0.118
1972	0.848