Data Citation and Acknowledgment
As a condition of using these data, you must cite the use of this data set. Such a practice gives credit to data set producers and advances principles of transparency and reproducibility.
10.5067/HNAUGJQXSCVU
Liu, Y., Fang, Y. & Margulis, S. A. (2021). High Mountain Asia UCLA Daily Snow Reanalysis. (HMA_SR_D, Version 1). [Data Set]. Boulder, Colorado USA. NASA National Snow and Ice Data Center Distributed Active Archive Center. https://doi.org/10.5067/HNAUGJQXSCVU. [describe subset used if applicable]. Date Accessed 11-14-2024.
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To promote open science principles and reproducibility, we encourage you to make your data citation specific to the subset used in your research. Common examples of information include spatial and temporal range and file types if relevant.
For more general information, see our Citation Policies.
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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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Data Access & Tools
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Type: Web Application
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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.
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Type: Downloadable Software
Visualize georeferenced arrays in NetCDF, HDF and GRIB formats. Plot data on global or regional maps, choosing from multiple map projections. Overlay continent outlines or masks.
Type: Downloadable Software