As a condition of using these data, you must cite the use of this data set.
10.5067/USBL3Z8KF9C3
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When using this data product in a publication, please include the following citations in addition to the data product citation provided above:
Joughin, I.. 2010. Greenland Flow Variability from Ice-Sheet-Wide Velocity Mapping. Journal of Glaciology. 56. DOI: 10.3189/002214310792447734.
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COMPREHENSIVE Level of Service
Data: Data integrity and usability verified; data customization services available for select data
Documentation: Key metadata and comprehensive user guide available
User Support: Assistance with data access and usage; guidance on use of data in tools and data customization services
In this section
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Blue outlined yellow areas on the map below indicate the spatial coverage for this data set.
Data Access & Tools
A free NASA Earthdata Login account is required to access these data. Learn More
Quickly download a few files using a web browser, or access data through a command-line utility such as WGET.
Filter files before downloading based on date, spatial area, or file name. Choose from various download options, such as Python script. Export bounding boxes as a GeoJSON.
Search and order data from all NASA DAACs using spatial and temporal filters in a map interface. Reformatting, reprojecting, and subsetting options are available for some data sets.
Type: Web Application
earthaccess is a python library to search and access NASA Earth science data with just a few lines of code.
Supported software languages:
Python
Programmatically request selected data products through NSIDC's API. Bulk download using spatial and temporal filters, or incorporate data access commands into code/scripts as needed.
Search and select Greenland Ice Mapping Project GIMP data at NSIDC, guided by a Python-based Jupyter Notebook. Build a QGIS project file from the search results. View data remotely if desired.
Supported software languages:
Python
Type: Downloadable Software
Last updated:
Spatially and temporally filter Greenland Ice Mapping Project (GIMP) image and velocity data, guided by a Python-based Jupyter Notebook. Spatially subset data and download in NetCDF format. This tool creates an interactive plot of time series data at selected points.
Supported software languages:
Python
Type: Downloadable Software
Last updated:
Customization Capabilities:
spatial subsetting
variable subsetting
data reformatting