Ã¯Â»Â¿# East Rongbuk Glacier - 1,000 Year Geochemical Data
#-----------------------------------------------------------------------
#               World Data Center for Paleoclimatology, Boulder
#                                  and
#                     NOAA Paleoclimatology Program
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# NOTE: Please cite original reference when using these data,
# If there is no publication information, please cite Investigators, Title, and Online_Resource and date accessed
#
#
#
# Online_Resource: https://www.ncdc.noaa.gov/cdo/f?p=519:1:::::P1_study_id:6180
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# Online_Resource: https://www.ncdc.noaa.gov/paleo/study/24611
#
# Original_Source_URL: ftp://ftp.ncdc.noaa.gov/pub/data/paleo/icecore/trop/everest/rongbuk2007.txt
#
# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Ice Cores
# --------------------
# Contribution_date
#	Date: 2008
# --------------------
# Title 
#	Study_Name: East Rongbuk Glacier - 1,000 Year Geochemical Data
# --------------------
# Investigators
#	Investigators: Kaspari, S.; Mayewski, P.; Kang, S.; Sneed, S.; Hou S.; Hooke, R.; Kreutz, K.; Inrone, D.; Handley, M.; Maasch, K.; Qin, D.; Ren, J.
# --------------------
# Description_and_Notes
#	Description: High resolution (5 year) Ca, Cl and dD data from the 2002 Mt. Everest 
#	East Rongbuk Glacier col ice core.  
# 
#	East Rongbuk Glacier col ice core, Mt. Everest northeast ridge:
#	28.03ÃÂ°N, 86.96ÃÂ°E; 6518 m elev., 108m long 
#
# --------------------
# Publication
#	Authors: Kaspari, S., P. Mayewski, S. Kang, S. Sneed, S. Hou, R. Hooke, K. Kreutz, D. Introne, M. Handley, K. Maasch, D. Qin, and J. Ren
#	Published_Date_or_Year: 2007
#	Published_Title: Reduction in northward incursions of the South Asian monsoon since ~1400 AD inferred from a Mt. Everest ice core
#	Journal_Name: Geophysical Research Letters
#	Volume: 34
#	Edition: 	
#	Issue: L16701
#	Pages: 
#	DOI: 10.1029/2007GL030440
#	Online_Resource: 
#	Full_Citation: 
#	Abstract: A highly resolved Mt. Everest ice core reveals a decrease in marine  and increase in continental air masses related to relatively high  summer surface pressure over Mongolia, and reduction in northward  incursions of the summer South Asian monsoon since ~1400 AD.  Previously published proxy records from lower sites south of the Himalayas indicate strengthening of the monsoon since this time.  These regional differences are consistent with a southÃ¢ÂÂnorth seesaw  in convective activity in the Asian monsoon region, and reflect a  southward shift in the mean summer position of the monsoon trough  since~1400 AD. The change in monsoonal circulation at 1400 AD is  synchronous with a reduction in solar irradiance and the onset  of the LIA. This demonstrates a hemispheric scale circulation  reorganization at this time, and the potential for future large  shifts in monsoonal circulation.
# --------------------
#	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: United States National Science Foundation
#	Grant: ATM 0139491
# --------------------
# Funding_Agency
#	Funding_Agency_Name: US National Oceanic and Atmospheric Administration
#	Grant: NOAA NA05OAR4311109
# --------------------
# Funding_Agency
#	Funding_Agency_Name: National Natural Science Foundation of China
#	Grant: 90411003
# --------------------
# Funding_Agency
#	Funding_Agency_Name: National Natural Science Foundation of China
#	Grant: 40401054
# ---------------------
#Funding_Agency
#	Funding_Agency_Name: Chinese Academy of Sciences
#	Grant: KZCX3-SW-339/344
# --------------------
#	Funding_Agency_Name: National Science Foundation
#	Grant:AGS-1304263
#	Funding_Agency_Name: National Oceanic and Atmospheric Administration
#	Grant:NA14OAR4310176
#------------------
# Site_Information
#	Site_Name: East Rongbuk Glacier
#	Location: Asia>China
#	Country: China
#	Northernmost_Latitude: 27.98
#	Southernmost_Latitude: 27.98
#	Easternmost_Longitude: 86.92
#	Westernmost_Longitude: 86.92
#	Elevation: 6500 m
# --------------------
# Data_Collection
#	Collection_Name: 07Rong01
#	Earliest_Year: 997.5
#	Most_Recent_Year: 1997.5
#	Time_Unit: y_ad
#
# --------------------
# 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
##delD	delta deuterium,,,permil SMOW,,Ice Cores,,,N
#
# --------------------
# Data:
# Data lines follow (have no #)
# Data line format - tab-delimited text, variable short name as header
# Missing values: NAN
#
age	delD
1997.5	-120.4
1992.5	-120.67
1987.5	-143.54
1982.5	-135.16
1977.5	-118.04
1972.5	-124.04
1967.5	-125.69
1962.5	-112.68
1957.5	-128.87
1952.5	-125.5
1947.5	-117.4
1942.5	-120.19
1937.5	-104.35
1932.5	-112.83
1927.5	-116.26
1922.5	-124.62
1917.5	-131.87
1912.5	-130.87
1907.5	-131.84
1902.5	-114.78
1897.5	-136.36
1892.5	-137.58
1887.5	-114.7
1882.5	-117
1877.5	-124.39
1872.5	-122.59
1867.5	-124.19
1862.5	-134.18
1857.5	-145.86
1852.5	-131.43
1847.5	-143.63
1842.5	-127.13
1837.5	-126.41
1832.5	-126.37
1827.5	-138.22
1822.5	-139.48
1817.5	-137.65
1812.5	-144.91
1807.5	-154.4
1802.5	-146.49
1797.5	-165.72
1792.5	-140.46
1787.5	-146.01
1782.5	-148.43
1777.5	-154.12
1772.5	-134.41
1767.5	-129.69
1762.5	-129.84
1757.5	-147.18
1752.5	-145.36
1747.5	-134.27
1742.5	-146.85
1737.5	-141.05
1732.5	-137.53
1727.5	-133.67
1722.5	-141.29
1717.5	-133.8
1712.5	-147.72
1707.5	-137.34
1702.5	-131.03
1697.5	-140.12
1692.5	-143.3
1687.5	-146.99
1682.5	-150.88
1677.5	-145.32
1672.5	-146.88
1667.5	-137.81
1662.5	-137.76
1657.5	-143.62
1652.5	-133.04
1647.5	-126.33
1642.5	-137.51
1637.5	-131.65
1632.5	-139.1
1627.5	-129.64
1622.5	-138.1
1617.5	-132.48
1612.5	-130.37
1607.5	-131.44
1602.5	-126.05
1597.5	-147.79
1592.5	-126.95
1587.5	-133.76
1582.5	-133.51
1577.5	-127.86
1572.5	-129.02
1567.5	-125.01
1562.5	-116.61
1557.5	-124.29
1552.5	-128.59
1547.5	-134.87
1542.5	-124.56
1537.5	-123.32
1532.5	-131.66
1527.5	-141.31
1522.5	-129.7
1517.5	-132.27
1512.5	-137.5
1507.5	-133.17
1502.5	-129.7
1497.5	-129.03
1492.5	-128.6
1487.5	-130.82
1482.5	-119.96
1477.5	-126.52
1472.5	-144.7
1467.5	-132.28
1462.5	-134.83
1457.5	-138.49
1452.5	-130.69
1447.5	-113.1
1442.5	-130.64
1437.5	-133.19
1432.5	-137.68
1427.5	-135.75
1422.5	-125.6
1417.5	-142.17
1412.5	-131.51
1407.5	-137.58
1402.5	-138.66
1397.5	-132.55
1392.5	-133.55
1387.5	-138.92
1382.5	-129.5
1377.5	-134.07
1372.5	-132.55
1367.5	-137.89
1362.5	-132.52
1357.5	-136.86
1352.5	-130.86
1347.5	-125.11
1342.5	-129.2
1337.5	-141.09
1332.5	-138.39
1327.5	-127.74
1322.5	-133.71
1317.5	-138.06
1312.5	-136.19
1307.5	-137.41
1302.5	-136.26
1297.5	-139.11
1292.5	-139.78
1287.5	-137.57
1282.5	-134.31
1277.5	-139.81
1272.5	-138.16
1267.5	-135.29
1262.5	-133.86
1257.5	-140.2
1252.5	-136.3
1247.5	-140.17
1242.5	-141.43
1237.5	-140.94
1232.5	-137.17
1227.5	-137.34
1222.5	-143.85
1217.5	-144.54
1212.5	-143.06
1207.5	-146.47
1202.5	-139.66
1197.5	-143.39
1192.5	-141.36
1187.5	-149.31
1182.5	-141.91
1177.5	-139.03
1172.5	-139.54
1167.5	-139.35
1162.5	-139.85
1157.5	-140.84
1152.5	-140.12
1147.5	-139.02
1142.5	-136.71
1137.5	-136.47
1132.5	-141.04
1127.5	-141.04
1122.5	-136.23
1117.5	-135.33
1112.5	-136.29
1107.5	-133.19
1102.5	-135.46
1097.5	-138.46
1092.5	-138.28
1087.5	-138.46
1082.5	-139.69
1077.5	-140.77
1072.5	-141.4
1067.5	-138.57
1062.5	-140.41
1057.5	-143.12
1052.5	-140.3
1047.5	-138.61
1042.5	-139.82
1037.5	-140.8
1032.5	-139.74
1027.5	-138.95
1022.5	-137.25
1017.5	-136.09
1012.5	-137.1
1007.5	-139.85
1002.5	-139.72
997.5	-136.26
