ÃÂ¯ÃÂ»ÃÂ¿# northamerica_usa_co555 - Great Sand Dunes Lower - 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/3430
#
# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: northamerica_usa_co555 - Great Sand Dunes Lower - 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: Great Sand Dunes Lower
#	Location:
#	Country: United States
#	Northernmost_Latitude: 37.78
#	Southernmost_Latitude: 37.78
#	Easternmost_Longitude: -105.5
#	Westernmost_Longitude: -105.5
#	Elevation: 2530 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_co555B
#	Earliest_Year: 1260
#	Most_Recent_Year: 1995
#	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":"4.4838254363","T2":"16.0967815082","M1":"0.0234933842931","M2":"0.425233996866"}}
#--------------------
# 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
1260	0.36
1261	0.294
1262	0.397
1263	0.604
1264	0.612
1265	0.598
1266	0.606
1267	0.465
1268	1.077
1269	0.944
1270	0.489
1271	0.909
1272	1.121
1273	0.829
1274	0.906
1275	1.527
1276	0.817
1277	0.91
1278	0.447
1279	1.026
1280	0.448
1281	0.563
1282	0.698
1283	0.603
1284	0.506
1285	0.444
1286	0.427
1287	0.413
1288	0.518
1289	0.423
1290	0.781
1291	0.538
1292	0.493
1293	0.828
1294	0.58
1295	0.956
1296	1.211
1297	1.164
1298	1.476
1299	1.119
1300	0.879
1301	1.103
1302	0.996
1303	0.99
1304	0.744
1305	0.804
1306	0.656
1307	0.582
1308	0.556
1309	0.958
1310	1.447
1311	0.826
1312	1.062
1313	1.439
1314	2.217
1315	1.173
1316	0.516
1317	0.885
1318	1.206
1319	1.038
1320	1.333
1321	1.633
1322	0.982
1323	1.12
1324	1.136
1325	1.503
1326	1.119
1327	0.934
1328	1.117
1329	0.467
1330	1.4
1331	1.198
1332	1.436
1333	1.204
1334	1.463
1335	2.058
1336	1.023
1337	1.042
1338	0.902
1339	0.896
1340	0.626
1341	0.927
1342	0.97
1343	0.785
1344	0.776
1345	0.55
1346	0.882
1347	0.321
1348	0.725
1349	0.383
1350	0.814
1351	1.283
1352	0.246
1353	1.287
1354	1.327
1355	1.043
1356	1.62
1357	1.686
1358	2.571
1359	1.518
1360	0.854
1361	0.968
1362	0.711
1363	0.644
1364	0.657
1365	1.182
1366	0.716
1367	1.138
1368	1.049
1369	1.204
1370	1.567
1371	1.912
1372	1.895
1373	1.107
1374	1.357
1375	1.822
1376	1.169
1377	1.216
1378	1.277
1379	1.558
1380	1.981
1381	1.204
1382	1.169
1383	2.185
1384	1.925
1385	0.792
1386	1.88
1387	1.853
1388	1.748
1389	1.678
1390	0.507
1391	1.53
1392	1.894
1393	1.729
1394	1.964
1395	2.409
1396	1.249
1397	0.963
1398	1.762
1399	0.242
1400	0.368
1401	0.927
1402	0.85
1403	0.244
1404	0.958
1405	0.633
1406	1.672
1407	0.287
1408	0.629
1409	1.225
1410	1.7
1411	1.337
1412	1.082
1413	0.93
1414	1.814
1415	0.609
1416	1.096
1417	1.244
1418	1.032
1419	0.569
1420	1.317
1421	1.077
1422	1.017
1423	0.419
1424	1.014
1425	1.541
1426	2.168
1427	1.261
1428	1.71
1429	0.399
1430	1.116
1431	0.851
1432	0.677
1433	0.946
1434	1.754
1435	1.544
1436	1.32
1437	1.107
1438	1.122
1439	0.777
1440	0.582
1441	1.184
1442	1.731
1443	1.618
1444	1.269
1445	0.3
1446	1.469
1447	1.534
1448	1.612
1449	0.596
1450	0.768
1451	1.299
1452	1.576
1453	1.16
1454	0.51
1455	0.102
1456	1.109
1457	0.859
1458	1.209
1459	0.819
1460	1.018
1461	1.337
1462	0.918
1463	0.724
1464	0.8
1465	0.701
1466	1.099
1467	1.546
1468	0.925
1469	0.881
1470	1.325
1471	0.14
1472	1.075
1473	0.825
1474	0.07
1475	0.025
1476	0.52
1477	0.228
1478	0.88
1479	0.477
1480	0.509
1481	0.221
1482	0.636
1483	0.545
1484	1.682
1485	2.024
1486	1.623
1487	0.907
1488	1.359
1489	0.959
1490	1.087
1491	1.203
1492	0.856
1493	0.522
1494	1.358
1495	0.028
1496	0.174
1497	0.166
1498	0.981
1499	1.13
1500	0.199
1501	0.44
1502	0.813
1503	0.858
1504	0.736
1505	1.541
1506	0.439
1507	0.507
1508	1.046
1509	0.376
1510	0.568
1511	1.113
1512	0.843
1513	0.903
1514	1.155
1515	0.797
1516	1.829
1517	0.418
1518	0.411
1519	1.934
1520	2.939
1521	3.899
1522	1.183
1523	0.915
1524	0.756
1525	0.536
1526	1.744
1527	2.232
1528	0.752
1529	1.557
1530	2.015
1531	1.183
1532	1.053
1533	0.674
1534	0.831
1535	0.356
1536	1.276
1537	1.325
1538	0.949
1539	1.96
1540	2.089
1541	2.787
1542	1.378
1543	1.012
1544	0.356
1545	0.324
1546	0.925
1547	0.396
1548	0.893
1549	0.162
1550	1.325
1551	0.14
1552	0.352
1553	0.392
1554	0.771
1555	1.018
1556	1.33
1557	1.414
1558	0.493
1559	0.568
1560	0.562
1561	0.869
1562	0.308
1563	0.432
1564	0.341
1565	1.034
1566	0.567
1567	0.461
1568	0.556
1569	0.413
1570	0.87
1571	0.405
1572	1.009
1573	0.093
1574	0.659
1575	1.375
1576	0.909
1577	1.002
1578	0.577
1579	0.248
1580	0.126
1581	0.477
1582	0.774
1583	0.192
1584	0.34
1585	0.133
1586	0.608
1587	0.317
1588	1.341
1589	1.048
1590	0.329
1591	0.212
1592	0.625
1593	0.506
1594	1.811
1595	1.799
1596	0.834
1597	1.136
1598	0.428
1599	1.433
1600	1.185
1601	0.408
1602	0.935
1603	1.697
1604	1.598
1605	1.061
1606	1.287
1607	1.383
1608	2.193
1609	0.977
1610	1.32
1611	0.657
1612	0.7
1613	1.787
1614	1.508
1615	1.325
1616	0.705
1617	1.048
1618	1.389
1619	1.55
1620	1.042
1621	1.048
1622	0.728
1623	0.274
1624	0.359
1625	0.091
1626	0.359
1627	0.191
1628	0.07
1629	0.854
1630	0.72
1631	0.21
1632	0.498
1633	0.817
1634	0.997
1635	1.1
1636	1.202
1637	1.329
1638	0.72
1639	2.1
1640	1.679
1641	1.055
1642	0.909
1643	1.049
1644	1.427
1645	0.499
1646	1.1
1647	1.531
1648	1.043
1649	1.155
1650	1.436
1651	1.436
1652	1.403
1653	1.561
1654	0.397
1655	1.19
1656	1.524
1657	1.658
1658	0.699
1659	1.218
1660	1.434
1661	1.773
1662	1.665
1663	1.408
1664	1.145
1665	0.591
1666	0.798
1667	0.95
1668	0.247
1669	0.728
1670	0.913
1671	0.967
1672	1.18
1673	1.271
1674	1.475
1675	0.415
1676	0.797
1677	1.179
1678	1.319
1679	0.662
1680	1.315
1681	0.754
1682	0.217
1683	1.121
1684	0.74
1685	0.099
1686	0.527
1687	0.674
1688	0.55
1689	1.322
1690	0.845
1691	0.675
1692	1.19
1693	1.043
1694	0.292
1695	0.817
1696	0.542
1697	1.293
1698	0.984
1699	1.495
1700	0.856
1701	1.648
1702	1.255
1703	1.111
1704	0.653
1705	0.844
1706	1.29
1707	0.571
1708	0.791
1709	0.242
1710	1.199
1711	1.278
1712	1.268
1713	1.33
1714	1.219
1715	1.099
1716	1.073
1717	0.647
1718	1.421
1719	1.442
1720	2.211
1721	1.475
1722	1.009
1723	1.727
1724	1.716
1725	1.399
1726	1.221
1727	1.114
1728	1.189
1729	0.278
1730	0.33
1731	0.773
1732	0.559
1733	0.582
1734	0.573
1735	0.647
1736	0.926
1737	0.592
1738	0.697
1739	0.831
1740	0.909
1741	0.666
1742	0.667
1743	1.062
1744	0.826
1745	0.337
1746	1.181
1747	1.249
1748	0.415
1749	1.24
1750	0.793
1751	1.063
1752	0.876
1753	0.975
1754	1.422
1755	1.439
1756	1.137
1757	1.101
1758	1.16
1759	1.148
1760	1.165
1761	1.622
1762	1.346
1763	0.7
1764	0.842
1765	0.792
1766	1.132
1767	0.901
1768	1.103
1769	1.1
1770	1.136
1771	1.313
1772	0.905
1773	0.603
1774	0.883
1775	0.25
1776	0.733
1777	0.519
1778	0.587
1779	0.306
1780	0.668
1781	0.283
1782	0.377
1783	0.849
1784	1.17
1785	1.051
1786	0.991
1787	1.107
1788	0.802
1789	0.615
1790	1.154
1791	1.077
1792	1.227
1793	1.405
1794	1.523
1795	1.106
1796	0.808
1797	0.777
1798	1.028
1799	1.088
1800	1.63
1801	1.06
1802	1.183
1803	1.644
1804	1.393
1805	1.049
1806	1.001
1807	0.719
1808	0.708
1809	0.644
1810	0.828
1811	0.894
1812	1.181
1813	1.28
1814	0.906
1815	1.279
1816	1.691
1817	1.037
1818	0.379
1819	0.509
1820	0.725
1821	0.789
1822	0.925
1823	0.937
1824	0.74
1825	1.119
1826	1.225
1827	1.452
1828	1.585
1829	1.506
1830	1.392
1831	1.428
1832	1.5
1833	1.126
1834	1.124
1835	1.363
1836	0.97
1837	1.091
1838	1.37
1839	1.293
1840	1.2
1841	1.155
1842	0.787
1843	1.062
1844	1.033
1845	1.335
1846	0.997
1847	0.547
1848	0.412
1849	0.624
1850	0.609
1851	0.109
1852	0.502
1853	0.516
1854	0.751
1855	0.705
1856	0.703
1857	0.802
1858	1.158
1859	0.813
1860	0.88
1861	0.731
1862	0.279
1863	0.789
1864	0.844
1865	0.642
1866	1.039
1867	1.21
1868	1.028
1869	1.425
1870	1.292
1871	0.931
1872	1.23
1873	0.858
1874	0.552
1875	0.885
1876	0.913
1877	0.911
1878	1.035
1879	0.927
1880	0.236
1881	0.612
1882	0.981
1883	0.867
1884	0.946
1885	1.233
1886	1.028
1887	1.24
1888	1.049
1889	1.295
1890	0.798
1891	0.913
1892	1.12
1893	0.76
1894	0.89
1895	1.361
1896	0.679
1897	1.032
1898	1.185
1899	0.369
1900	1.092
1901	0.776
1902	0.26
1903	0.964
1904	0.617
1905	1.136
1906	1.083
1907	1.713
1908	1.273
1909	0.906
1910	1.356
1911	1.316
1912	0.986
1913	0.887
1914	1.427
1915	1.225
1916	1.285
1917	1.046
1918	1.011
1919	1.449
1920	1.309
1921	1.623
1922	1.322
1923	0.76
1924	1.493
1925	1.053
1926	1.046
1927	0.931
1928	1.311
1929	0.901
1930	1.193
1931	1.162
1932	0.937
1933	1.227
1934	1.03
1935	0.844
1936	0.951
1937	1.436
1938	1.454
1939	1.274
1940	1.092
1941	1.362
1942	1.493
1943	0.896
1944	0.746
1945	0.749
1946	0.399
1947	0.911
1948	0.914
1949	1.106
1950	0.342
1951	0.243
1952	0.48
1953	0.807
1954	0.326
1955	0.355
1956	0.115
1957	0.581
1958	0.706
1959	0.591
1960	1.053
1961	0.62
1962	0.731
1963	0.283
1964	0.376
1965	0.909
1966	0.652
1967	0.765
1968	0.984
1969	1.432
1970	1.475
1971	0.999
1972	0.954
1973	1.038
1974	0.799
1975	1.161
1976	1.082
1977	0.687
1978	0.631
1979	0.823
1980	1.042
1981	0.799
1982	0.641
1983	1.372
1984	1.224
1985	1.532
1986	1.547
1987	1.425
1988	1.425
1989	1.028
1990	1.2
1991	1.272
1992	1.166
1993	1.186
1994	1.428
1995	1.836