Not logged in
PANGAEA.
Data Publisher for Earth & Environmental Science

Tooth, Matthew; Tschudi, Mark (2017): EASE-Grid Sea Ice Parcel Tracks With Ancillary Satellite Data Products from 2001 to 2014, links to data sets [dataset]. Colorado Center for Astrodynamics Research, University of Colorado Boulder, PANGAEA, https://doi.org/10.1594/PANGAEA.871925

Always quote citation above when using data! You can download the citation in several formats below.

RIS CitationBibTeX CitationShow MapGoogle Earth

Abstract:
Weekly sea ice motion data produced at the University of Colorado Boulder have been combined with various ancillary satellite data products to form an Arctic sea ice database from 2001 through 2014. These data include individual ice parcel locations on a 12.5 km EASE-Grid paired with MODIS ice surface temperatures, SSMI/SSMI-S ice concentrations, PIOMAS model thickness, and APP-X albedo and radiative data. Each ancillary product is sampled at every parcel's location for a given week, and the resulting data are stored to produce an overall history for each parcel tracked in a given year. The minimum latitude is 29.9° N.
Further information on the individual products included in this data set can be found at the following links:
- MODIS Terra Ice Surface Temperature: http://nsidc.org/data/docs/daac/modis/mod29e1d/index.html
- SSMI/SSMI-S Sea Ice Concentration: http://nsidc.org/data/docs/daac/nise1_nise.gd.html
Coverage:
Latitude: 90.000000 * Longitude: 0.000000
Date/Time Start: 2001-01-01T00:00:00 * Date/Time End: 2014-12-31T00:00:00
Event(s):
pan-Arctic * Latitude: 90.000000 * Longitude: 0.000000 * Location: Arctic
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
1DATE/TIMEDate/TimeTooth, MatthewGeocode
2File nameFile nameTooth, Matthew
3File formatFile formatTooth, Matthew
4File sizeFile sizekByteTooth, Matthewzipped
5Uniform resource locator/link to fileURL fileTooth, Matthew
Size:
56 data points

Download Data

Download dataset as tab-delimited text — use the following character encoding:

View dataset as HTML