Published September 15, 2021 | Version 1.0.0
Dataset Open

Rutford Ice Stream, Antarctica M_sf tidal velocity components derived from COSMO-SkyMED SAR data

  • 1. Massachusetts Institute of Technology

Description

This repository provides rasters for velocity components of a tidal (periodic) model for Rutford Ice Stream (RIS), Antarctica. The tidal model consists of a secular (constant) term and a single sinusoidal component corresponding to the M_sf tidal cycle (14.76529 days). The tidal model is fit to time-dependent velocity fields over RIS derived from speckle tracking of COSMO-SkyMed SAR data, collected over 9 months beginning in August 2013. The original methodology and source dataset are described in the publication:

Minchew, B. M., Simons, M., Riel, B., & Milillo, P. (2017). Tidally induced variations in vertical and horizontal motion on Rutford Ice Stream, West Antarctica, inferred from remotely sensed observations. Journal of Geophysical Research: Earth Surface122(1), 167-190. doi: 10.1002/2016JF003971

The rasters are provided in GeoTIFF format in the Polar Stereographic South (EPSG: 3031) coordinate system. The velocity components are also referenced to Polar Stereographic South coordinates. The pixel spacing is 400 meters (in both the X- and Y-directions). The individual files are:

  1. vx_secular.tif: secular velocity in X-direction in meters/day.
  2. vy_secular.tif: secular velocity in Y-direction in meters/day.
  3. vx_amp.tif: M_sf velocity amplitude in X-direction in meters/day.
  4. vy_amp.tif: M_sf velocity amplitude in Y-direction in meters/day.
  5. vx_phase.tif: M_sf velocity phase delay in X-direction in days.
  6. vy_phase.tif: M_sf velocity phase delay in Y-direction in days.

Files

vx_amp.tif

Files (6.3 MB)

Name Size Download all
md5:7d01c548caa58763df4a737360020016
1.0 MB Preview Download
md5:fe5ae57eddf2aaede75b7cb4c32be20e
1.0 MB Preview Download
md5:b5a2030a9ed359e2cc17b49541b98190
1.0 MB Preview Download
md5:c7b493f35509876f97728ec5dd4959e2
1.0 MB Preview Download
md5:2cbbac6b592d22c1949d0ac8ef4e38f5
1.0 MB Preview Download
md5:1af6ae8d17b413d4883f5f3fdc93fd8a
1.0 MB Preview Download

Additional details

Related works

Is derived from
Journal article: 10.1002/2016JF003971 (DOI)
Is referenced by
Preprint: 10.31223/X52C8V (DOI)