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Jeff Sevadjian



jsevadjian@ucsd.edu

Technology and Methods for Yucatan Channel Monitoring

This project will design a transport monitoring system in the Yucatan Channel (YC), drawing on data collected from 19 moorings and 99 sensors between 2018 and 2019. In addition, the team will develop and test innovative mooring designs that would enable real-time data transmission to shore. The goal is to leverage the existing intensive data set to determine which YC conditions are most critical to monitor, and identify the most cost-effective way to do so.

Understanding Gulf Ocean Systems Grants 2
National Academies of Science, Engineering, Medicine: Gulf Research Program
Dataset Available

Cross-channel differences in bottom pressure and acoustic round-trip travel time from PIES instruments in Yucatan Channel, Mexico, from 2018-07-30 to 2020-07-30

Authors: Send, Uwe, Julio Candela, Matthias Lankhorst, Gaston Manta, Jeff Sevadjian, and Julio Sheinbaum
Published On: Jan 04 2024 21:54 UTC
File Format: nc
DOI: 10.7266/VRVK55SR
UDI: U2.x860.000:0001
File Size: 115.52 KB
Dataset Available

Gridded density and geopotential height differences across Yucatan Channel, Mexico from moored instruments, 2018-07-28 to 2021-09-21

Authors: Send, Uwe, Julio Candela, Matthias Lankhorst, Gaston Manta, Jeff Sevadjian, and Julio Sheinbaum
Published On: Jan 09 2024 22:32 UTC
File Format: nc, pdf
DOI: 10.7266/YQWCV66H
UDI: U2.x860.000:0002
File Size: 2.34 MB
Dataset Restricted Remotely Hosted

Gridded vertical sections of the horizontal velocity field from the CANEK mooring array in the Yucatan Channel, from 2012-07-10 to 2020-09-17

Authors: Candela, Julio, Giovanni Durante, and Julio Sheinbaum
Published On: Dec 13 2023 16:25 UTC
File Format: nc
DOI: 10.7266/AK8HHNYX
UDI: U2.x860.000:0003
Dataset Available

Ocean volume transport from mooring observations across Yucatan Channel, Mexico from 2018-07-31 to 2020-07-31

Authors: Send, Uwe, Julio Candela, Matthias Lankhorst, Gaston Manta, Jeff Sevadjian, and Julio Sheinbaum
Published On: Jan 04 2024 22:16 UTC
File Format: nc
DOI: 10.7266/GBCNGJQF
UDI: U2.x860.000:0004
File Size: 112.99 KB