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High Mountain Asia UCLA Daily Snow Reanalysis V001

Metadata Updated: April 10, 2025

Snowpack plays a significant role in the hydrologic cycle over High Mountain Asia (HMA). As a vital water resource, the distribution of snowpack volume also impacts the water availability for downstream populations. To assess the regional water balance, it is important to characterize the spatio-temporal distribution of water storage in the HMA snowpack. This HMA snow reanalysis data set contains daily estimates of posterior snow water equivalent (SWE), fractional snow covered area (fSCA), snow depth (SD), etc.

Access & Use Information

Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

Downloads & Resources

Dates

Metadata Created Date December 1, 2022
Metadata Updated Date April 10, 2025

Metadata Source

Harvested from NASA Data.json

Additional Metadata

Resource Type Dataset
Metadata Created Date December 1, 2022
Metadata Updated Date April 10, 2025
Publisher NASA NSIDC DAAC
Maintainer
Identifier C2037494637-NSIDC_ECS
Data First Published 1999-10-01
Language en-US
Data Last Modified 2025-03-31
Category geospatial
Public Access Level public
Bureau Code 026:00
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Harvest Object Id 14b48caf-2cc5-46e1-9f6e-e1038caee411
Harvest Source Id 58f92550-7a01-4f00-b1b2-8dc953bd598f
Harvest Source Title NASA Data.json
Homepage URL https://doi.org/10.5067/HNAUGJQXSCVU
Metadata Type geospatial
Old Spatial 60.0 27.0 105.0 45.0
Program Code 026:001
Source Datajson Identifier True
Source Hash 89eec5eacfeb582a96a86da6462c9b014eaf6203583706ed925324274a96b651
Source Schema Version 1.1
Spatial
Temporal 1999-10-01T00:00:00Z/2017-09-30T23:59:59.999Z

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