# GISP2-GICC05 Chronology Conversion Software
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#                World Data Center for Paleoclimatology, Boulder 
#                                  and 
#                     NOAA Paleoclimatology Program 
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# 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: http://hurricane.ncdc.noaa.gov/pls/paleox/f?p=519:1:::::P1_STUDY_ID:15536
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# Original_Source_URL: ftp://ftp.ncdc.noaa.gov/pub/data/paleo/softlib/g2n/readme-obrochta2014.txt
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# Description/Documentation lines begin with #
# Data lines have no #
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# Archive: Other Collections
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# Contribution_Date
#	Date: 2013-11-20
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# Title
#	Study_Name: GISP2-GICC05 Chronology Conversion Software 
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# Investigators
#       Investigators: Obrochta, S.P.; Yokoyama, Y.; Morén, J.; Crowley, T.J.
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# Description_and_Notes
#	Description: An automated mathematical function that updates GISP2-based chronologies to the newer, NGRIP GICC05 age scale 
#       between 8.24 and 103.74 ka b2k.  Matlab (file g2n.m) and python (stored in compressed file g2n-python.zip) versions  
#       are included, plus tie point data input files in text, Excel, or Matlab format (g2nties.txt, g2nties.xlsx, g2nties.mat).  
#       Matlab files can be read with Matlab software or the open source version octave. The python version can also be run 
#       as an online utility, available at: http://paleo10.org/g2n/    
#
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# Publication 
#       Authors: Stephen P. Obrochta, Yusuke Yokoyama, Jan Morén, Thomas J. Crowley
#       Published_Date_or_Year: 2014-04-01      
#       Published_Title: Conversion of GISP2-based sediment core age models to the GICC05 extended chronology
#       Journal_Name: Quaternary Geochronology
#       Volume: 20
#       Edition: 
#       Issue: 
#       Pages: 1-7
#       DOI: 10.1016/j.quageo.2013.09.001
#       Online_Resource: http://www.sciencedirect.com/science/article/pii/S1871101413000745
#       Full_Citation: 
#       Abstract: Marine and lacustrine sediment-based paleoclimate records are often not comparable within the early to middle portion of the last glacial cycle. This is due in part to significant revisions over the past 15 years to the Greenland ice core chronologies commonly used to assign ages outside of the range of radiocarbon dating. Therefore, creation of a compatible chronology is required prior to analysis of the spatial and temporal nature of climate variability at multiple locations. Here we present an automated mathematical function that updates GISP2-based chronologies to the newer, NGRIP GICC05 age scale between 8.24 and 103.74 ka b2k. The script uses, to the extent currently available, climate-independent volcanic synchronization of these two ice cores, supplemented by oxygen isotope alignment. The modular design of the script allows substitution for a more comprehensive volcanic matching, once it becomes available. Usage of this function highlights on the GICC05 chronology, for the first time for the entire last glaciation, the proposed global climate relationships during the series of large and rapid millennial stadial-interstadial events.
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# Funding_Agency 
#       Funding_Agency_Name: Japan Society for the Promotion of Science (JSPS) 
#       Grant: Kakenhi 22101005
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# Site_Information 
#       Site_Name: Global 
#       Location: Geographic Region>Global
#	Country:  
#	Northernmost_Latitude: 90.00
# 	Southernmost_Latitude: -90.00
# 	Easternmost_Longitude: 180.00
# 	Westernmost_Longitude: -180.00
# 	Elevation:  m  
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# Data_Collection   
#	Collection_Name: Obrochta2014g2n
#	Earliest_Year: 103.74  
#	Most_Recent_Year: 8.24  
#	Time_Unit: Cal KYear BP 2000
#	Core_Length: m
#	Notes: 
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# Chronology: 
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# Variables 
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# Data variables follow (have no #)
# 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_calBP	age, , , calendar years before present, , , , ,N

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# Data:
# Data lines follow (have no #)
# Data line format - tab-delimited text, variable short name as header
# Missing Values: