ÃÂ¯ÃÂ»ÃÂ¿# northamerica_usa_ar048 - Egypt - 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/4845
#
# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: northamerica_usa_ar048 - Egypt - 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 VaganovÃÂ¢ÃÂÃÂShashkin 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 4ÃÂ¢ÃÂÃÂ6 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 modelÃÂ¢ÃÂÃÂs 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: Egypt
#	Location:
#	Country: United States
#	Northernmost_Latitude: 35.85
#	Southernmost_Latitude: 35.85
#	Easternmost_Longitude: -90.95
#	Westernmost_Longitude: -90.95
#	Elevation: 68 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_ar048B
#	Earliest_Year: 1417
#	Most_Recent_Year: 1980
#	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":"6.05393340791","T2":"18.8977508792","M1":"0.0229360545348","M2":"0.579544325782"}}
#--------------------
# Species
#	Species_Name: baldcypress
#	Species_Code: TADI
#--------------------
# 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
1417	1.288
1418	0.997
1419	1.098
1420	0.979
1421	0.732
1422	0.735
1423	0.999
1424	1.225
1425	0.964
1426	1.234
1427	0.857
1428	1.147
1429	1.076
1430	1.102
1431	1.327
1432	1.377
1433	1.107
1434	1.659
1435	1.232
1436	0.773
1437	0.655
1438	0.564
1439	0.499
1440	0.557
1441	0.361
1442	0.376
1443	0.607
1444	0.569
1445	0.795
1446	0.598
1447	1.243
1448	0.807
1449	0.856
1450	0.904
1451	0.612
1452	0.774
1453	0.655
1454	0.491
1455	0.733
1456	0.841
1457	0.65
1458	0.996
1459	0.936
1460	0.727
1461	1.528
1462	0.988
1463	1.171
1464	0.992
1465	1.4
1466	1.605
1467	0.923
1468	0.574
1469	0.807
1470	0.443
1471	0.648
1472	0.559
1473	0.72
1474	0.644
1475	0.866
1476	1.254
1477	1.031
1478	1.294
1479	1.372
1480	1.686
1481	1.544
1482	0.905
1483	1.251
1484	1.078
1485	1.162
1486	0.475
1487	0.744
1488	0.625
1489	0.768
1490	1.277
1491	1.172
1492	0.83
1493	1.757
1494	2.387
1495	1.784
1496	0.959
1497	0.697
1498	1.266
1499	0.678
1500	1.181
1501	0.731
1502	0.822
1503	0.499
1504	0.945
1505	0.738
1506	0.56
1507	0.867
1508	0.701
1509	0.754
1510	0.396
1511	0.298
1512	0.243
1513	0.573
1514	0.952
1515	0.763
1516	0.759
1517	1.154
1518	1.452
1519	1.438
1520	1
1521	1.079
1522	1.228
1523	1.562
1524	1.722
1525	0.686
1526	0.839
1527	0.633
1528	0.7
1529	0.806
1530	0.952
1531	1.542
1532	0.965
1533	0.558
1534	0.623
1535	0.851
1536	1.288
1537	0.902
1538	1.358
1539	0.647
1540	1.419
1541	0.797
1542	0.57
1543	1.343
1544	0.518
1545	1.305
1546	1.241
1547	0.985
1548	2.592
1549	0.774
1550	0.811
1551	1.279
1552	0.97
1553	1.383
1554	1.715
1555	0.635
1556	0.814
1557	1.699
1558	0.647
1559	1.108
1560	1.38
1561	0.734
1562	1.363
1563	1.994
1564	0.566
1565	0.934
1566	0.318
1567	0.684
1568	0.423
1569	0.736
1570	0.622
1571	0.626
1572	0.3
1573	0.52
1574	0.252
1575	1.272
1576	0.624
1577	0.588
1578	1.077
1579	0.711
1580	0.768
1581	0.887
1582	0.898
1583	1.029
1584	0.966
1585	0.952
1586	1.526
1587	0.585
1588	1.103
1589	1.285
1590	0.654
1591	0.804
1592	1.163
1593	0.839
1594	0.584
1595	0.89
1596	1.006
1597	0.383
1598	0.449
1599	1.04
1600	0.801
1601	0.987
1602	0.973
1603	1.184
1604	0.823
1605	1.043
1606	1.353
1607	1.395
1608	0.747
1609	1.236
1610	1.237
1611	1.094
1612	0.682
1613	1.304
1614	0.959
1615	0.817
1616	0.857
1617	0.991
1618	0.884
1619	0.943
1620	1.021
1621	1.614
1622	1.31
1623	2.121
1624	1.335
1625	1.016
1626	1.291
1627	0.722
1628	0.501
1629	0.626
1630	0.636
1631	0.507
1632	1.217
1633	1.175
1634	0.767
1635	0.612
1636	1.3
1637	1.675
1638	0.837
1639	1.113
1640	0.635
1641	0.541
1642	0.547
1643	0.31
1644	0.524
1645	0.667
1646	0.531
1647	1.159
1648	0.635
1649	1.09
1650	1.189
1651	0.989
1652	1.097
1653	1.053
1654	0.74
1655	1.051
1656	0.691
1657	1.596
1658	1.121
1659	1.157
1660	1.297
1661	1.742
1662	1.795
1663	1.244
1664	1.206
1665	1.588
1666	0.776
1667	1.121
1668	1.406
1669	0.601
1670	0.863
1671	0.742
1672	1.066
1673	1.004
1674	0.779
1675	0.863
1676	0.671
1677	0.717
1678	0.981
1679	0.807
1680	1.65
1681	0.624
1682	1.245
1683	0.888
1684	1.445
1685	0.596
1686	0.98
1687	0.449
1688	0.626
1689	0.475
1690	1.16
1691	1.364
1692	0.755
1693	0.534
1694	1.033
1695	1.083
1696	0.809
1697	0.539
1698	0.705
1699	0.833
1700	1.387
1701	1.333
1702	0.763
1703	0.547
1704	1.287
1705	0.575
1706	1.429
1707	1.821
1708	0.678
1709	1.023
1710	1.405
1711	1.217
1712	0.93
1713	1.697
1714	1.734
1715	0.627
1716	0.585
1717	1.339
1718	0.709
1719	0.875
1720	0.322
1721	0.926
1722	0.612
1723	0.752
1724	1.271
1725	0.811
1726	1.141
1727	1.256
1728	0.668
1729	1.146
1730	0.483
1731	1.413
1732	0.652
1733	1.131
1734	0.498
1735	1.403
1736	0.584
1737	0.426
1738	1.104
1739	0.988
1740	0.806
1741	0.546
1742	0.371
1743	0.667
1744	0.937
1745	1.059
1746	1.051
1747	1.129
1748	0.486
1749	0.689
1750	1.249
1751	0.804
1752	0.728
1753	1.272
1754	0.768
1755	0.509
1756	1.005
1757	1.393
1758	0.509
1759	0.809
1760	0.431
1761	1.074
1762	0.774
1763	0.943
1764	1.431
1765	0.559
1766	0.624
1767	0.453
1768	1.516
1769	1.152
1770	0.957
1771	0.937
1772	0.973
1773	1.212
1774	1.506
1775	0.735
1776	1.032
1777	1.459
1778	0.623
1779	1.061
1780	0.486
1781	1.315
1782	1.258
1783	0.976
1784	0.745
1785	0.924
1786	1.22
1787	0.928
1788	1.529
1789	0.608
1790	0.987
1791	0.828
1792	0.783
1793	1.25
1794	0.48
1795	1.062
1796	0.835
1797	0.97
1798	1.023
1799	1.005
1800	0.678
1801	0.635
1802	0.508
1803	1.138
1804	1.635
1805	1.058
1806	1.332
1807	1.277
1808	0.694
1809	1
1810	0.913
1811	1.363
1812	0.4
1813	1.39
1814	0.831
1815	1.17
1816	0.336
1817	0.714
1818	0.581
1819	0.855
1820	0.578
1821	0.728
1822	1.185
1823	1.203
1824	1.142
1825	0.846
1826	1.197
1827	0.582
1828	1.11
1829	0.533
1830	1.007
1831	0.604
1832	0.99
1833	0.928
1834	0.506
1835	0.847
1836	0.673
1837	0.801
1838	0.437
1839	0.709
1840	0.318
1841	0.446
1842	0.454
1843	0.808
1844	0.686
1845	0.365
1846	0.995
1847	0.649
1848	0.592
1849	1.13
1850	0.719
1851	0.846
1852	0.738
1853	0.824
1854	1.298
1855	0.612
1856	0.883
1857	0.49
1858	1.506
1859	0.722
1860	0.687
1861	1.304
1862	1.221
1863	1.565
1864	1.089
1865	1.006
1866	1.218
1867	1.657
1868	0.623
1869	1.38
1870	0.638
1871	0.684
1872	1.096
1873	0.573
1874	0.533
1875	0.924
1876	1.231
1877	0.703
1878	1.097
1879	0.617
1880	1.185
1881	0.767
1882	1.411
1883	1.147
1884	1.344
1885	0.811
1886	0.944
1887	0.519
1888	0.645
1889	1.156
1890	1.296
1891	1.666
1892	1.439
1893	1.732
1894	1.384
1895	0.41
1896	1.15
1897	0.873
1898	1.167
1899	1.213
1900	1.31
1901	0.512
1902	0.383
1903	1.366
1904	1.352
1905	1.062
1906	1.335
1907	2.084
1908	1.458
1909	1.843
1910	1.155
1911	0.307
1912	1.41
1913	0.198
1914	0.455
1915	0.761
1916	0.849
1917	1.044
1918	0.584
1919	1.206
1920	0.917
1921	0.635
1922	0.82
1923	1.013
1924	0.476
1925	0.243
1926	0.507
1927	0.974
1928	0.928
1929	1.021
1930	0.339
1931	0.754
1932	0.708
1933	0.631
1934	0.778
1935	1.012
1936	0.607
1937	1.036
1938	1.263
1939	1.083
1940	1.083
1941	0.72
1942	1.38
1943	1.732
1944	1.097
1945	2.625
1946	1.379
1947	1.699
1948	1.365
1949	1.007
1950	1.452
1951	1.186
1952	0.689
1953	0.513
1954	0.636
1955	0.893
1956	0.274
1957	0.748
1958	0.812
1959	1.744
1960	0.945
1961	1.45
1962	1.453
1963	0.853
1964	0.953
1965	1.348
1966	0.826
1967	1.487
1968	0.77
1969	1.072
1970	0.782
1971	0.904
1972	0.884
1973	1.187
1974	1.038
1975	1.242
1976	0.572
1977	0.793
1978	0.908
1979	0.814
1980	0.755