Data Set ID: 
HMA_Snowfield

High Mountain Asia Langtang Snow Properties, Version 1

This data set contains measurements of several different snow properties, including reflectance at 1310 nm, specific surface area, and optical mean radius, collected on the Yala Glacier, Nepal. These data were collected on 23 April and 24 April 2018 by the International Centre for Integrated Mountain Development (ICIMOD) using the IceCube instrument.

This is the most recent version of these data.

Version Summary: 

Initial release

STANDARD Level of Service

Data: Data integrity and usability verified

Documentation: Key metadata and user guide available

User Support: Assistance with data access and usage; guidance on use of data in tools

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Parameter(s):
  • SURFACE RADIATIVE PROPERTIES > REFLECTANCE
  • SNOW/ICE > SNOW MICROSTRUCTURE > SPECIFIC SURFACE AREA
Data Format(s):
  • ASCII Text
Spatial Coverage:
N: 28.21502, 
N: 28.23464, 
N: 28.23467, 
S: 28.21502, 
S: 28.23464, 
S: 28.23467, 
E: 85.60986, 
E: 85.60918, 
E: 85.60915, 
W: 85.60986
W: 85.60918
W: 85.60915
Platform(s):GROUND-BASED OBSERVATIONS
Spatial Resolution:
  • Varies x Varies
Sensor(s):IceCube
Temporal Coverage:
  • 23 April 2018 to 24 April 2018
Version(s):V1
Temporal ResolutionVariesMetadata XML:View Metadata Record
Data Contributor(s):Si-Chee Tsay

Geographic Coverage

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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.

Tsay, S. 2019. High Mountain Asia Langtang Snow Properties, Version 1. [Indicate subset used]. Boulder, Colorado USA. NASA National Snow and Ice Data Center Distributed Active Archive Center. doi: https://doi.org/10.5067/VWBLZDUZSTK2. [Date Accessed].

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No technical references available for this data set.

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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