# northamerica_usa_nm052 - Ned Tanks - 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/3091
#
# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: northamerica_usa_nm052 - Ned Tanks - 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: Ned Tanks
#	Location:
#	Country: United States
#	Northernmost_Latitude: 35.58
#	Southernmost_Latitude: 35.58
#	Easternmost_Longitude: -107.25
#	Westernmost_Longitude: -107.25
#	Elevation: 2393 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_nm052B
#	Earliest_Year: 1660
#	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":"4.13029700389","T2":"15.9755394012","M1":"0.0227742933863","M2":"0.460396681259"}}
#--------------------
# Species
#	Species_Name: ponderosa pine
#	Species_Code: PIPO
#--------------------
# 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
1660	1.545
1661	1.654
1662	1.489
1663	0.803
1664	0.383
1665	0.969
1666	1.048
1667	0.473
1668	0.395
1669	0.593
1670	0.427
1671	0.673
1672	0.659
1673	0.838
1674	0.733
1675	1.05
1676	0.48
1677	0.635
1678	0.86
1679	0.96
1680	1.393
1681	0.43
1682	1.313
1683	1.836
1684	0.814
1685	0.313
1686	0.708
1687	1.123
1688	0.749
1689	1.206
1690	0.85
1691	0.823
1692	1.698
1693	1.403
1694	1.309
1695	1.69
1696	0.832
1697	1.28
1698	1.484
1699	1.69
1700	0.919
1701	1.477
1702	0.571
1703	0.819
1704	0.491
1705	0.962
1706	1.986
1707	0.688
1708	1.289
1709	0.637
1710	1.252
1711	0.742
1712	1.144
1713	1.179
1714	0.732
1715	0.711
1716	0.518
1717	0.321
1718	0.919
1719	0.338
1720	1.058
1721	2.118
1722	1.738
1723	2.005
1724	1.199
1725	1.303
1726	0.702
1727	1.206
1728	0.709
1729	0.148
1730	0.321
1731	1.099
1732	1.476
1733	0.161
1734	0.982
1735	0.125
1736	0.29
1737	-0.007
1738	0.203
1739	-0.007
1740	0.36
1741	0.432
1742	0.346
1743	0.689
1744	0.454
1745	0.911
1746	1.214
1747	1.887
1748	0.309
1749	1.505
1750	0.635
1751	1.752
1752	0.363
1753	1.034
1754	1.555
1755	0.357
1756	0.485
1757	0.946
1758	1.279
1759	1.643
1760	1.161
1761	1.857
1762	1.7
1763	0.908
1764	1.439
1765	1.011
1766	1.827
1767	1.387
1768	2.156
1769	1.383
1770	1.765
1771	2.301
1772	1.016
1773	-0.008
1774	0.238
1775	0.06
1776	0.362
1777	0.221
1778	0.701
1779	0.6
1780	0.531
1781	0.706
1782	0.484
1783	1.225
1784	1.656
1785	0.871
1786	0.656
1787	0.881
1788	0.496
1789	0.422
1790	0.918
1791	0.974
1792	1.117
1793	2.112
1794	1.195
1795	1.621
1796	1.377
1797	1.136
1798	0.974
1799	1.624
1800	1.767
1801	1.47
1802	1.284
1803	1.926
1804	1.649
1805	1.305
1806	0.584
1807	1.122
1808	0.885
1809	0.972
1810	1.29
1811	0.894
1812	0.8
1813	0.582
1814	1.122
1815	1.085
1816	1.699
1817	1.185
1818	0.89
1819	0.978
1820	0.618
1821	0.744
1822	-0.009
1823	0.11
1824	-0.009
1825	0.496
1826	0.004
1827	0.899
1828	0.944
1829	0.818
1830	1.301
1831	0.795
1832	1.554
1833	1.584
1834	1.447
1835	1.574
1836	1.309
1837	1.192
1838	1.55
1839	2.018
1840	2.145
1841	2.194
1842	1.058
1843	0.725
1844	0.617
1845	0.858
1846	0.625
1847	0.111
1848	0.863
1849	1.263
1850	0.826
1851	0.865
1852	1.365
1853	0.842
1854	1.435
1855	1.4
1856	1.674
1857	1.643
1858	1.172
1859	0.361
1860	1.182
1861	0.449
1862	0.354
1863	0.38
1864	0.388
1865	0.76
1866	1.163
1867	1.147
1868	2.01
1869	1.962
1870	1.417
1871	1.075
1872	1.141
1873	0.609
1874	0.728
1875	0.68
1876	0.39
1877	1.037
1878	0.945
1879	0.982
1880	0.028
1881	0.399
1882	1.206
1883	0.887
1884	1.067
1885	1.472
1886	0.453
1887	1.817
1888	0.921
1889	1.12
1890	0.95
1891	1.414
1892	1.228
1893	0.661
1894	1.063
1895	1.457
1896	0.55
1897	1.635
1898	1.492
1899	0.387
1900	0.304
1901	0.407
1902	0.075
1903	0.725
1904	-0.009
1905	1.069
1906	0.904
1907	1.673
1908	2.139
1909	1.045
1910	0.794
1911	1.309
1912	0.89
1913	0.134
1914	1.105
1915	1.181
1916	1.28
1917	1.112
1918	0.608
1919	1.671
1920	1.411
1921	1.33
1922	0.353
1923	0.651
1924	1.088
1925	-0.009
1926	1.442
1927	0.791
1928	0.96
1929	0.327
1930	1.064
1931	1.437
1932	1.224
1933	0.775
1934	0.129
1935	1.369
1936	0.966
1937	0.84
1938	0.474
1939	0.773
1940	0.446
1941	1.391
1942	1.276
1943	0.907
1944	1.176
1945	0.845
1946	1.002
1947	0.815
1948	1.154
1949	2.016
1950	1.075
1951	0.262
1952	0.821
1953	0.514
1954	0.287
1955	0.601
1956	0.196
1957	0.756
1958	0.926
1959	0.805
1960	1.12
1961	1.156
1962	0.703
1963	0.619
1964	0.564
1965	1.043
1966	0.797
1967	0.503
1968	0.791
1969	1.124
1970	1.166
1971	0.376
1972	0.623
1973	1.146
1974	0.325
1975	1.328
1976	0.936