1 dataset found
  1. I

    silbo-20190717T1917

    • data.ioos.us
    • gliders.ioos.us
    • +1more
    erddap +2
    Updated Aug 4, 2024
    + more versions
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    Glider DAC (2024). silbo-20190717T1917 [Dataset]. https://data.ioos.us/dataset/silbo-20190717t1917
    Explore at:
    opendap, erddap, erddap-tabledapAvailable download formats
    Dataset updated
    Aug 4, 2024
    Dataset provided by
    Glider DAC
    Description

    Glider deployed from the USVI and will fly to Falmouth, MA, USA for recovery. The Silbo Challenger mission is a partnership between industry and academia which will exercise a number of new Slocum glider features and long term deployment stratgies including shoreside piloting tools, glider firmware, battery design, thruster design, hull design and low cost deployment and recovery in support of open ocean deployments. Temperature and salinity profiles will also be submitted to the IOOS National Data Assembly Center which will transmit the profiles to the Global Telecommunication System for assimiliation into ocean forecasting models.

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Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Glider DAC (2024). silbo-20190717T1917 [Dataset]. https://data.ioos.us/dataset/silbo-20190717t1917

silbo-20190717T1917

Explore at:
opendap, erddap, erddap-tabledapAvailable download formats
Dataset updated
Aug 4, 2024
Dataset provided by
Glider DAC
Description

Glider deployed from the USVI and will fly to Falmouth, MA, USA for recovery. The Silbo Challenger mission is a partnership between industry and academia which will exercise a number of new Slocum glider features and long term deployment stratgies including shoreside piloting tools, glider firmware, battery design, thruster design, hull design and low cost deployment and recovery in support of open ocean deployments. Temperature and salinity profiles will also be submitted to the IOOS National Data Assembly Center which will transmit the profiles to the Global Telecommunication System for assimiliation into ocean forecasting models.

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