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Snow Water Equivalent (SWE), normal (average) of first-of-month values across all years, 2004-2016, Region 17, Continuous Parameter Grid (CPG)

Metadata Updated: June 15, 2024

These datasets are continuous parameter grids (CPG) of normal (average) first-of-month snow water equivalent data for March through August, averaged across all years, 2004 through 2016, in the Pacific Northwest. Source snow water equivalent data was produced by the Snow Data Assimilation System (SNODAS) at the National Snow and Ice Data Center.

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 June 1, 2023
Metadata Updated Date June 15, 2024

Metadata Source

Harvested from DOI EDI

Additional Metadata

Resource Type Dataset
Metadata Created Date June 1, 2023
Metadata Updated Date June 15, 2024
Publisher Climate Adaptation Science Centers
Maintainer
@Id http://datainventory.doi.gov/id/dataset/9de5b5f14cb538c06a3bc6d1365e2815
Identifier 765a2cb8-74ce-4d29-bf1e-7e1781fb1630
Data Last Modified 2020-08-19
Category geospatial
Public Access Level public
Bureau Code 010:00
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Metadata Catalog ID https://datainventory.doi.gov/data.json
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 ccdd16cc-4412-4a1a-a061-e42edb001d1e
Harvest Source Id 52bfcc16-6e15-478f-809a-b1bc76f1aeda
Harvest Source Title DOI EDI
Metadata Type geospatial
Old Spatial -127.1851,39.6627,-109.334,50.7951
Source Datajson Identifier True
Source Hash 2cb95f0ac2f9fc8da3932b4d1d072a336dfa60b3b1eee33ef3504cd329413379
Source Schema Version 1.1
Spatial {"type": "Polygon", "coordinates": -127.1851, 39.6627, -127.1851, 50.7951, -109.334, 50.7951, -109.334, 39.6627, -127.1851, 39.6627}

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