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    • This is a Non-Federal dataset covered by different Terms of Use than Data.gov.

    Adaptive Sampling of Rain and Ocean Salinity from Autonomous Seagliders (Guam 2019-2020)

    Metadata Updated: February 22, 2025

    This dataset was produced by the Adaptive Sampling of Rain and Ocean Salinity from Autonomous Seagliders (NASA grant NNX17AK07G) project, an investigation to develop tools and strategies to better measure the structure and variability of upper-ocean salinity in rain-dominated environments. From October 2019 to January 2020, three Seagliders were deployed near Guam (14°N 144°E). The Seaglider is an autonomous profiler measuring salinity and temperature in the upper ocean. The three gliders sampled in an adaptive formation to capture the patchiness of the rain and the corresponding oceanic response in real time. The location was chosen because of the likelihood of intense tropical rain events and the availability of a NEXRAD (S-band) rain radar at the Guam Airport. Spacing between gliders varies from 1 to 60 km. Data samples are gridded by profile and on regular depth bins from 0 to 1000 m. The time interval between profiles was about 3 hours, and they are typically about 1.5 km apart. These profiles are available at Level 2 (basic gridding) and Level 3 (despiked and interpolated). All Seaglider data files are in netCDF format with standards compliant metadata. The project was led by a team from the Applied Physics Laboratory at the University of Washington.

    Access & Use Information

    Public: This dataset is intended for public access and use. Non-Federal: This dataset is covered by different Terms of Use than Data.gov. License: No license information was provided.

    Downloads & Resources

    Dates

    Metadata Created Date February 22, 2025
    Metadata Updated Date February 22, 2025

    Metadata Source

    Harvested from nasa test json

    Other Data Resources

    Additional Metadata

    Resource Type Dataset
    Metadata Created Date February 22, 2025
    Metadata Updated Date February 22, 2025
    Publisher NASA/JPL/PODAAC
    Maintainer
    Identifier C2151536874-POCLOUD
    Data First Published 2019-10-03
    Language en-US
    Data Last Modified 2025-02-19
    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 9f132a71-f8d7-4459-b6ce-0b75d1140e4c
    Harvest Source Id a73e0c30-4684-40ef-908e-d22e9e9e5f86
    Harvest Source Title nasa test json
    Homepage URL https://doi.org/10.5067/ASROS-GLGU1
    Metadata Type geospatial
    Old Spatial 143.63035 13.39476 144.613 14.71229
    Program Code 026:001
    Source Datajson Identifier True
    Source Hash 3b4e98694c1fee1e0560655690659dbd7910350a577a17d8829d5cff7340feae
    Source Schema Version 1.1
    Spatial
    Temporal 2019-10-03T00:00:00Z/2020-01-15T02:00:00Z

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