AMSR-E/Aqua Daily L3 6.25 km Sea Ice Drift Polar Grids, Version 1
Data set id:
AE_SID
DOI: 10.5067/AMSR-E/AE_SID.001
This is the most recent version of these data.
Version Summary
Version Summary
Overview
This product provides 6.25 km sea ice drift grids for the Northern and Southern Hemispheres.
Parameter(s):
MICROWAVE IMAGERYSEA ICE MOTION
Platform(s):
AQUA
Sensor(s):
AMSR-E
Data Format(s):
HDF-EOS2
Temporal Coverage:
30 May 2011 to 3 October 2011
Temporal Resolution:
- 1 day
Spatial Resolution:
- 6.25 km
- 6.25 km
Spatial Reference System(s):
NSIDC Sea Ice Polar Stereographic North
EPSG:3411
NSIDC Sea Ice Polar Stereographic South
EPSG:3412
Spatial Coverage:
N:
90
S:
30.98
E:
180
W:
-180
N:
-39.23
S:
-90
E:
180
W:
-180
Blue outlined yellow areas on the map below indicate the spatial coverage for this data set.
Data Access & Tools
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Documentation
User Guide
General Resources
Quality Assessment Reports
Sensor and Instrument Information
Help Articles
General Questions & FAQs
This article describes what customizing services are available for AMSR-E data using Earthdata Search.
How to Articles
Many NSIDC DAAC data sets can be accessed using the NSIDC DAAC's Data Access Tool. This tool provides the ability to search and filter data with spatial and temporal constraints using a map-based interface.Users have the option to
Harmony API Quickstart Guide: Customizing NASA NSIDC DAAC data in Earthdata Cloud
To convert HDF5 files into binary format you will need to use the h5dump utility, which is part of the HDF5 distribution available from the HDF Group. How you install HDF5 depends on your operating system.
All data from the NASA National Snow and Ice Data Center Distributed Active Archive Center (NSIDC DAAC) is directly accessible through our HTTPS file system using Wget or curl. This article provides basic command line instructions for accessing data using this method.
This article highlights the NSIDC DAAC data sets available with customization options and outlines a workflow for searching, ordering, and customizing data in NASA Earthdata Search. This approach is ideal for users who want to download data to their local machine.