SnowEx23 Laser Snow Microstructure Specific Surface Area Snow-off Data, Version 1
Data set id:
SNEX23_SSA_SO
DOI: 10.5067/9SY1H2L0BY0X
This is the most recent version of these data.
Version Summary
Initial data release

Overview

This data set reports vertical profiles of snow reflectance and specific surface area (SSA) from two study sites in Alaska, USA collected as part of the NASA SnowEx 2023 field campaign. The study sites include a boreal forest environment in the Fairbanks region of central Alaska (the Bonanza Creek Experimental Forest, the Caribou Poker Creek watershed and Farmers Loop/Creamer’s Field), and a coastal tundra environment in the North Slope region of northern Alaska (the Arctic coastal plain and Upper Kuparuk Toolik). Reflectance was measured in situ using an A2 Photonic Sensor IceCube (1310 nm). Measured reflectance values were converted to SSA during data processing following the methods of Gallet et al., (2009). Snow-on SSA data from these same study sites were collected in March 2023 and are available as SnowEx23 Laser Snow Microstructure Specific Surface Area Data, Version 1.
Parameter(s):
SPECIFIC SURFACE AREA
Platform(s):
GROUND-BASED OBSERVATIONS
Sensor(s):
IceCube
Data Format(s):
CSV
Temporal Coverage:
17 October 2023 to 28 October 2023
Temporal Resolution:
  • Not applicable
Spatial Resolution:
  • 1 meter
  • 1 meter
Spatial Reference System(s):
WGS 84
EPSG:4326
Spatial Coverage:
N:
70.084
S:
68.5284
E:
-148.6127
W:
-149.5964
N:
65.1546
S:
64.701
E:
-147.4906
W:
-148.2902
Blue outlined yellow areas on the map below indicate the spatial coverage for this data set.

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Help Articles

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
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.