SnowEx17 Time Series Sonic Snow Depth Measurement Array, Version 1
Data set id:
SNEX17_SSD
DOI: 10.5067/5YJEYNLS1YK4
This is the most recent version of these data.
Version Summary
Version Summary
New data set
Overview
This data set contains 15-min snow depth observations for two study sites on Grand Mesa, CO, USA, acquired as part of NASA's 2017 SnowEx campaign. The data were recorded using two arrays of Judd Communications Ultrasonic Depth Sensors, configured as a TLS K footprint on the west side of the mesa and a TLS N footprint in the east. The sensors were positioned to represent three primary vegetation conditions: open-canopy; canopy-edge; and closed-canopy. A total of 10 and 7 sensors recorded usable data at the west and east sites, respectively, from the beginning of the snow season in November 2016 through the end in June 2017.
These data can be used for a variety of purposes, including: model forcing, calibration, and validation; evaluation of airborne and satellite remote sensing data; to analyze how vegetation affects snow accumulation and ablation.
Parameter(s):
SNOW DEPTH
Platform(s):
GROUND-BASED OBSERVATIONS
Sensor(s):
ULTRASONIC DEPTH SENSOR
Data Format(s):
JPEG, CSV
Temporal Coverage:
12 October 2016 to 3 July 2017
Temporal Resolution:
- 15 minute
Spatial Resolution:
- varies
- varies
Spatial Reference System(s):
WGS 84
EPSG:4326
Spatial Coverage:
N:
39.03430447
S:
39.02755193
E:
-107.9335668
W:
-108.0545976
Blue outlined yellow areas on the map below indicate the spatial coverage for this data set.
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Documentation
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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
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.