# asia_mong005 - Urgun Nars - 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/3617
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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: asia_mong005 - Urgun Nars - 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: Urgun Nars
#	Location:
#	Country: Mongolia
#	Northernmost_Latitude: 48.57
#	Southernmost_Latitude: 48.57
#	Easternmost_Longitude: 110.55
#	Westernmost_Longitude: 110.55
#	Elevation: 1070 m
#--------------------
# Data_Collection
#	Collection_Name: asia_mong005B
#	Earliest_Year: 1668
#	Most_Recent_Year: 1996
#	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":"3.27380225987","T2":"15.5929535914","M1":"0.0228345043809","M2":"0.532606380824"}}
#--------------------
# Species
#	Species_Name: Scots pine
#	Species_Code: PISY
#--------------------
# 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
1668	0.893
1669	1.196
1670	0.765
1671	1.364
1672	0.893
1673	0.692
1674	1.264
1675	1.344
1676	0.42
1677	1.083
1678	1.237
1679	1.332
1680	0.995
1681	1.647
1682	0.964
1683	0.516
1684	1.157
1685	0.913
1686	0.643
1687	1.422
1688	1.014
1689	1.007
1690	1.549
1691	1.559
1692	0.645
1693	0.321
1694	0.87
1695	0.64
1696	0.419
1697	0.857
1698	0.309
1699	0.861
1700	0.802
1701	0.641
1702	1.253
1703	1.479
1704	1.109
1705	1.919
1706	1.454
1707	0.812
1708	0.591
1709	1.074
1710	0.956
1711	1.357
1712	1.046
1713	1.145
1714	0.784
1715	0.968
1716	1.106
1717	1.005
1718	1.31
1719	1.304
1720	1.885
1721	1.539
1722	0.963
1723	0.626
1724	1.343
1725	0.637
1726	0.249
1727	0.701
1728	0.697
1729	0.677
1730	0.856
1731	0.417
1732	0.314
1733	0.976
1734	0.714
1735	0.816
1736	0.654
1737	0.846
1738	0.666
1739	0.743
1740	1.549
1741	1.878
1742	1.903
1743	1.943
1744	2.032
1745	0.845
1746	1.208
1747	0.505
1748	0.763
1749	1.304
1750	1.271
1751	1.305
1752	1.48
1753	1.458
1754	1.24
1755	2.115
1756	1.851
1757	1.184
1758	0.27
1759	0.654
1760	0.926
1761	0.865
1762	0.947
1763	1.199
1764	0.955
1765	1.464
1766	0.962
1767	0.677
1768	0.864
1769	1.065
1770	1.238
1771	0.328
1772	0.481
1773	0.781
1774	0.967
1775	0.858
1776	1.357
1777	1.159
1778	1.038
1779	1.218
1780	0.633
1781	0.355
1782	1.004
1783	0.92
1784	0.776
1785	1.519
1786	0.654
1787	1.407
1788	1.359
1789	1.3
1790	1.021
1791	0.513
1792	0.738
1793	0.484
1794	0.442
1795	0.654
1796	0.906
1797	0.692
1798	0.878
1799	0.819
1800	1.03
1801	0.63
1802	0.092
1803	0.846
1804	0.916
1805	0.844
1806	1.234
1807	0.788
1808	0.433
1809	1.098
1810	1.186
1811	0.659
1812	1.509
1813	1.226
1814	1.665
1815	0.546
1816	0.947
1817	1.25
1818	0.418
1819	0.967
1820	0.743
1821	0.535
1822	0.955
1823	0.553
1824	1.069
1825	1.081
1826	1.349
1827	1.291
1828	1.026
1829	1.588
1830	1.503
1831	0.985
1832	1.121
1833	1.068
1834	0.827
1835	0.534
1836	0.914
1837	1.453
1838	1.134
1839	0.886
1840	0.982
1841	0.618
1842	0.425
1843	1.058
1844	1.029
1845	0.464
1846	1.408
1847	1.292
1848	1.007
1849	0.697
1850	0.755
1851	0.791
1852	0.857
1853	0.745
1854	0.905
1855	1.261
1856	1.053
1857	1.441
1858	1.325
1859	0.933
1860	0.928
1861	1.032
1862	0.675
1863	0.94
1864	1.146
1865	0.864
1866	0.974
1867	0.936
1868	0.669
1869	1.296
1870	1.105
1871	0.901
1872	1.098
1873	0.832
1874	1.104
1875	0.697
1876	0.735
1877	0.898
1878	0.604
1879	0.729
1880	0.875
1881	1.195
1882	0.778
1883	0.946
1884	0.563
1885	0.533
1886	1.103
1887	1.267
1888	0.95
1889	1.101
1890	1.418
1891	0.975
1892	0.604
1893	1.211
1894	0.98
1895	1.4
1896	1.063
1897	1.483
1898	0.937
1899	0.659
1900	0.92
1901	1.196
1902	1.114
1903	0.742
1904	0.794
1905	0.604
1906	1.07
1907	0.935
1908	1.437
1909	1.285
1910	1.55
1911	1.373
1912	1.377
1913	1.007
1914	1.018
1915	1.204
1916	1.179
1917	1.398
1918	1.026
1919	1.694
1920	1.35
1921	1.306
1922	1.007
1923	1.061
1924	1.17
1925	0.201
1926	0.797
1927	0.957
1928	0.479
1929	0.414
1930	0.614
1931	0.61
1932	0.628
1933	1.138
1934	1.266
1935	1.139
1936	1.405
1937	1.45
1938	1.4
1939	1.225
1940	0.693
1941	0.931
1942	0.883
1943	0.597
1944	0.172
1945	0.871
1946	0.808
1947	0.348
1948	1.205
1949	0.866
1950	0.667
1951	0.912
1952	0.854
1953	1.258
1954	0.794
1955	0.976
1956	1.179
1957	1.158
1958	1.098
1959	1.544
1960	1.748
1961	0.62
1962	1.147
1963	1.485
1964	1.354
1965	1.005
1966	0.497
1967	1.164
1968	0.811
1969	0.854
1970	1.175
1971	1.316
1972	0.503
1973	0.955
1974	0.989
1975	1.224
1976	1.054
1977	1.267
1978	0.455
1979	0.57
1980	0.888
1981	0.293
1982	0.7
1983	0.688
1984	0.861
1985	1.246
1986	0.819
1987	0.694
1988	1.511
1989	1.273
1990	0.8
1991	1.387
1992	0.66
1993	1.103
1994	1.228
1995	1.143
1996	0.707