Data Set ID: 

SnowEx17 Ground Penetrating Radar, Version 1

This data set contains the results of a ground penetrating radar survey conducted at Grand Mesa, Colorado. Data include the two-way travel time, calculated snow depth, and calculated snow water equivalent. Data were collected between 08 February 2017 and 23 February 2017 as part of the 2017 SnowEx campaign.

The unprocessed, raw data can be found here:

There is a more recent version of these data.

Version Summary: 

new data set

Data Format(s):
  • ASCII Text
Spatial Coverage:
N: 39.11115, 
S: 38.9935, 
E: -107.85785, 
W: -108.22367
Spatial Resolution:Not applicableSensor(s):GPR
Temporal Coverage:
  • 8 February 2017 to 23 February 2017
Temporal ResolutionNot applicableMetadata XML:View Metadata Record
Data Contributor(s):Webb, R., D. McGrath, K. Hale, and N. P. Molotch.

Geographic Coverage

No access options.

As a condition of using these data, you must cite the use of this data set using the following citation. For more information, see our Use and Copyright Web page.

Webb, R., D. McGrath, K. Hale, and N. P. Molotch. 2018. SnowEx17 Ground Penetrating Radar, Version 1. [Indicate subset used]. Boulder, Colorado USA. NASA National Snow and Ice Data Center Distributed Active Archive Center. doi: [Date Accessed].

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How To

Programmatic Data Access Guide
Data from the NASA National Snow and Ice Data Center Distributed Active Archive Center (NSIDC DAAC) can be accessed directly from our HTTPS file system or through our Application Programming Interface (API). Our API offers you the ability to order data using specific temporal and spatial filters... read more
Filter and order from a data set web page
Many NSIDC data set web pages provide the ability to search and filter data with spatial and temporal contstraints using a map-based interface. This article outlines how to order NSIDC DAAC data using advanced searching and filtering.  Step 1: Go to a data set web page This article will use the... read more
How to search, access, and visualize NSIDC DAAC snow data using Python
The "Snow Depth and Snow Cover Data Exploration” Jupyter Notebook provides Python code to access and compare coincident snow data across in-situ, airborne, and satellite platforms from NASA's SnowEx, ASO, and MODIS data sets, respectively. Please see the NSIDC-Data-Tutorials GitHub repository (... read more