# asia_mong014 - Suulchyin Medee - 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/3610
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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_mong014 - Suulchyin Medee - 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: Suulchyin Medee
#	Location:
#	Country: Mongolia
#	Northernmost_Latitude: 49.48
#	Southernmost_Latitude: 49.48
#	Easternmost_Longitude: 100.83
#	Westernmost_Longitude: 100.83
#	Elevation: 1800 m
#--------------------
# Data_Collection
#	Collection_Name: asia_mong014B
#	Earliest_Year: 1617
#	Most_Recent_Year: 2002
#	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":"5.16198782121","T2":"16.8217281429","M1":"0.0225478619495","M2":"0.426274814731"}}
#--------------------
# Species
#	Species_Name: Siberian larch
#	Species_Code: LASI
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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
#
#--------------------
# Data:
# Data lines follow (have no #)
# Data line format - tab-delimited text, variable short name as header
# Missing Values: nan
#
age	trsgi
1617	1.606
1618	1.216
1619	1.623
1620	1.078
1621	1.099
1622	0.396
1623	1.019
1624	0.857
1625	1.542
1626	1.743
1627	2.252
1628	1.238
1629	1.295
1630	0.356
1631	0.469
1632	0.465
1633	0.553
1634	0.937
1635	0.741
1636	0.924
1637	0.632
1638	0.295
1639	0.35
1640	0.397
1641	0.326
1642	0.163
1643	0.136
1644	0.462
1645	0.56
1646	0.74
1647	1.343
1648	1.119
1649	0.122
1650	1.455
1651	0.976
1652	0.32
1653	0.579
1654	0.967
1655	0.677
1656	0.923
1657	1.448
1658	1.986
1659	0.325
1660	0.153
1661	0.774
1662	1.292
1663	1.667
1664	2.118
1665	0.569
1666	0.566
1667	1.027
1668	0.683
1669	1.17
1670	1.169
1671	1.778
1672	1.449
1673	1.942
1674	1.384
1675	2.084
1676	1.542
1677	1.93
1678	0.383
1679	1.253
1680	0.197
1681	0.464
1682	0.414
1683	0.278
1684	0.716
1685	1.203
1686	0.662
1687	1.326
1688	0.791
1689	0.444
1690	1.114
1691	1.174
1692	1.195
1693	1.35
1694	0.282
1695	1.067
1696	1.52
1697	1.677
1698	0.105
1699	0.273
1700	1.123
1701	0.954
1702	0.794
1703	0.948
1704	1.11
1705	1.346
1706	0.891
1707	1.171
1708	0.189
1709	0.343
1710	0.801
1711	0.218
1712	1.576
1713	0.503
1714	0.323
1715	0.4
1716	0.562
1717	1.058
1718	1.27
1719	1.256
1720	2.719
1721	0.124
1722	0.371
1723	0.037
1724	0.847
1725	1.425
1726	1.216
1727	2.011
1728	1.055
1729	1.635
1730	0.936
1731	0.144
1732	0.491
1733	1.371
1734	0.968
1735	0.728
1736	0.067
1737	0.075
1738	0.51
1739	0.13
1740	0.435
1741	0.741
1742	0.692
1743	0.984
1744	1.032
1745	1.614
1746	0.515
1747	1.544
1748	0.534
1749	0.095
1750	0.27
1751	1.035
1752	0.929
1753	1.317
1754	1.866
1755	2.069
1756	0.337
1757	0.941
1758	0.841
1759	1.119
1760	0.855
1761	0.371
1762	1.662
1763	1.717
1764	2.032
1765	2.709
1766	3.068
1767	2.711
1768	2.079
1769	2.863
1770	1.366
1771	0.799
1772	1.382
1773	1.352
1774	2.134
1775	0.573
1776	0.201
1777	0.179
1778	0.305
1779	0.232
1780	-0.017
1781	-0.017
1782	-0.017
1783	0.149
1784	0.606
1785	0.904
1786	0.817
1787	0.905
1788	1.586
1789	2.374
1790	1.301
1791	1.547
1792	1.793
1793	1.296
1794	1.171
1795	2.231
1796	2.126
1797	2.373
1798	2.965
1799	1.72
1800	0.908
1801	1.508
1802	1.879
1803	1.437
1804	1.242
1805	0.731
1806	0.633
1807	0.606
1808	1.222
1809	0.204
1810	-0.017
1811	0.457
1812	0.136
1813	0.534
1814	0.637
1815	0.892
1816	0.744
1817	0.438
1818	0.264
1819	0.648
1820	1.058
1821	0.946
1822	0.791
1823	0.849
1824	0.103
1825	0.475
1826	0.518
1827	0.72
1828	0.559
1829	0.177
1830	-0.017
1831	1.084
1832	0.359
1833	0.182
1834	1.248
1835	0.517
1836	0.345
1837	1.306
1838	1.637
1839	0.422
1840	0.625
1841	1.145
1842	0.87
1843	0.548
1844	1.158
1845	0.517
1846	1.649
1847	1.721
1848	1.403
1849	1.224
1850	1.03
1851	1.803
1852	1.834
1853	1.491
1854	0.467
1855	1.101
1856	0.269
1857	0.085
1858	0.664
1859	0.15
1860	0.717
1861	-0.017
1862	0.639
1863	0.206
1864	0.899
1865	0.405
1866	0.072
1867	0.893
1868	1.172
1869	1.279
1870	1.409
1871	1.934
1872	1.749
1873	0.961
1874	1.57
1875	0.753
1876	1.051
1877	1.11
1878	0.872
1879	0.898
1880	0.168
1881	1.42
1882	1.709
1883	0.783
1884	0.387
1885	1.457
1886	0.812
1887	0.871
1888	0.974
1889	1.22
1890	1.587
1891	2.401
1892	0.642
1893	0.602
1894	0.033
1895	0.578
1896	0.548
1897	0.774
1898	0.26
1899	0.756
1900	0.116
1901	0.416
1902	0.83
1903	1.089
1904	0.347
1905	0.546
1906	1.192
1907	1.3
1908	1.179
1909	1.434
1910	0.445
1911	0.979
1912	1.321
1913	1.484
1914	1.363
1915	0.676
1916	1.828
1917	1.463
1918	1.441
1919	1.603
1920	1.776
1921	1.701
1922	1.57
1923	0.363
1924	0.394
1925	0.763
1926	0.774
1927	1.049
1928	1.07
1929	0.422
1930	0.099
1931	0.683
1932	1.213
1933	1.511
1934	1.042
1935	0.777
1936	0.693
1937	0.813
1938	1.366
1939	1.248
1940	0.289
1941	1.409
1942	0.075
1943	1.518
1944	1.247
1945	0.333
1946	1.264
1947	1.291
1948	0.55
1949	0.98
1950	1.211
1951	1.026
1952	1.443
1953	1.467
1954	0.762
1955	1.357
1956	0.672
1957	0.537
1958	0.752
1959	0.869
1960	0.646
1961	0.81
1962	1.36
1963	1.416
1964	1.815
1965	0.924
1966	1.444
1967	1.493
1968	1.417
1969	1.34
1970	1.079
1971	1.722
1972	1.866
1973	0.762
1974	2.072
1975	0.626
1976	1.303
1977	0.989
1978	0.355
1979	0.76
1980	0.608
1981	-0.017
1982	0.864
1983	1.021
1984	0.5
1985	0.977
1986	1.178
1987	0.431
1988	0.724
1989	1.043
1990	1.636
1991	1.2
1992	1.322
1993	1.743
1994	1.47
1995	1.362
1996	0.778
1997	0.169
1998	0.898
1999	1.274
2000	0.358
2001	0.287
2002	0.176