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Jason Gobat

Senior Principal Oceanographer

Email

jgobat@uw.edu

Phone

206-543-2439

Research Interests

Sensor-Platform Integration, Towed Vehicles, Autonomous Vehicles, Moorings, Cable Dynamics, Instrumentation, Data Telemetry

Biosketch

Dr. Jason Gobat is a Senior Principal Oceanographer at the Applied Physics Laboratory, University of Washington. He is the senior technologist for the Integrative Observational Platforms (IOP) group which develops systems and platforms for observational oceanography at scales ranging from microstructure to long-term climate. IOP is the primary development group for Seaglider and the next generation Seaglider SGX AUVs. 

Gobat has led the  development of endurance extension, sensor integration, and under ice autonomy and navigation projects for Seaglider since 2004. As part of the Ocean Robots Beneath Ice Shelves Antarctic campaign  (2018–2019) he led the development and field effort that deployed Seagliders on thirteen-month missions to map the previously unexplored  ice cavity beneath the Dotson Ice Shelf and complete a full annual cycle of ocean observations.

He is currently responsible for software and hardware development for new generation Seaglider electronics. He has led or participated in 23 major oceanographic research cruises and 6 Arctic field campaigns. 

Department Affiliation

Ocean Physics

Education

B.A. Philosophy, University of California - San Diego, 1993

B.S. Structural Engineering, University of California - San Diego, 1993

M.S. Oceanographic Engineering, MIT/WHOI Joint Program, 1997

Ph.D. Oceanographic Engineering, MIT/WHOI Joint Program, 2000

Projects

Arctic PISCES

Pacific Infrastructure for Sustaining Continuous Engineering and Science in the Arctic. Advancing observing and prediction science in Arctic coastal and inner-shelf regions. Learn more and join the collaboration.

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14 Apr 2025

Arctic PISCES supports sub-seasonal to seasonal forecasts of the ice–ocean–atmosphere system by (1) monitoring conditions in the Arctic coastal zone and improving forecast models, and (2) tracking ocean heat content and its impact on the state of the landfast ice. Collaborating partners include APL-UW, Pacific Northwest National Laboratory, and the University of Alaska Fairbanks.

A Modular Approach to Building an Arctic Observing System for the IPY and Beyond in the Switchyard Region of the Arctic Ocean

This project will provided for the design, development, and implementation of a component of an Arctic Ocean Observing System in the Switchyard region of the Arctic Ocean (north of Greenland and Nares Strait) that will serve the scientific studies developed for the IPY (International Polar Year), SEARCH (Study of Environmental ARctic Change), and related programs. Specifically, the project will continue and expand two aircraft-based sections between Alert and the North Pole for long-term observation of hydrographic properties and a set of tracers aimed at resolving relative age structure and freshwater components in the upper water column.

 

North Atlantic Bloom

The phytoplankton of the North Atlantic bloom play a major role in pulling carbon dioxide from the atmosphere and storing it in the ocean. An ambitious collaborative experiment in the North Atlantic near Iceland was led to coincide with the bloom in 2008. The challenge of the experiment was to characterize the bloom's temporal and spatial evolutions of physics, biology, and chemistry over its entire duration.

 

Publications

2000-present and while at APL-UW

Passive acoustic measurements on autonomous profiling floats

Ma, B.B., J.B. Girton, J.H. Dunlap, J.I. Gobat, and J. Chen, "Passive acoustic measurements on autonomous profiling floats," In Proc., OCEANS 2023 MTS/IEEE U.S. Gulf Coast, 25-28 September, Biloxi, MS, doi:10.23919/OCEANS52994.2023.10337032 (IEEE, 2023).

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11 Dec 2023

The Electromagnetic Autonomous Profiling Explorer (EM-APEX) float provides temperature, salinity, pressure, and ocean current measurements. We implemented a passive acoustic hydrophone system for the EM-APEX to measure the ambient sound of the ocean. Two EM-APEX acoustic floats were built, and five deployments were made in Puget Sound off the Washington Coast, and Hawaii. Time-averaged and frequency bin-averaged acoustic spectra were transmitted to the shore station in near real-time via the Iridium connection, and the raw acoustic data were recovered post-deployment for source classification and acoustic environment study using machine learning methods. The results confirmed that ambient noise levels from this platform could be used to derive sea surface processes such as wind speed, and the transient noise from ship traffic and calls of marine mammals can be detected when floats are in depth-holding mode.

Multi-month dissipation estimates using microstructure from autonomous underwater gliders

Rainville, L., J.I. Gobat, C.M. Lee, and G.B. Shilling, "Multi-month dissipation estimates using microstructure from autonomous underwater gliders," Oceanography, 30, 49-50, doi:10.5670/oceanog.2017.219, 2017.

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1 Jun 2017

Ocean turbulence is inherently episodic and patchy. It is the primary mechanism that transforms water mass properties and drives the exchanges of heat, freshwater, and momentum across the water column. Given its episodic nature, capturing the net impact of turbulence via direct measurements requires sustained observations over extended temporal and/or broad spatial scales.

Towards real-time under-ice acoustic navigation at mesoscale ranges

Webster, S.E., L.E. Freitag, C.M. Lee, and J.I. Gobat, "Towards real-time under-ice acoustic navigation at mesoscale ranges," Proc. IEEE International Conference on Robotics and Automation, 26-30 May, Seattle, WA, 537-544, doi:10.1109/ICRA.2015.7139231 (IEEE, 2015).

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26 May 2015

This paper describes an acoustic navigation system that provides mesoscale coverage (hundreds of kilometers) under the ice and presents results from the first multi-month deployment in the Arctic. The hardware consists of ice-tethered acoustic navigation beacons transmitting at 900 Hz that broadcast their latitude and longitude plus several bytes of optional control data. The real-time under-ice navigation algorithm, based on a Kalman filter, uses time-of-flight measurements from these sources to simultaneously estimate vehicle position and depth-averaged local currents. The algorithm described herein was implemented on Seagliders, a type of autonomous underwater glider (AUG), but the underlying theory is applicable to other autonomous underwater vehicles (AUVs). As part of an extensive field campaign from March to September 2014, eleven acoustic sources and four Seagliders were deployed to monitor the seasonal melt of the marginal ice zone (MIZ) in the Beaufort and northern Chukchi Seas. Beacon-to-beacon performance was excellent due to a sound duct at 100 m depth where the transmitters were positioned; the travel-time error at 200 km has a standard deviation of 40 m when sound-speed is known, and ranges in excess of 400 km were obtained. Results with the Seagliders, which were not regularly within the duct, showed reliable acoustic ranges up to 100 km and more sparse but repeatable range measurements to over 400 km. Navigation results are reported for the real-time algorithm run in post-processing mode, using data from a 295-hour segment with significant time spent under ice.

More Publications

In The News

One year into the mission, autonomous ocean robots set a record in survey of Antarctic ice shelf

UW News, Hannah Hickey

A team of ocean robots deployed in January 2018 have, over the past year, been the first self-guided ocean robots to successfully travel under an ice sheet and return to report long-term observations.

23 Jan 2019

Underwater robots survive a year probing climate change's effects on Antarctic ice

GeekWire, Alan Boyle

A squadron of Seagliders and EM-APEX floats was sent to probe the waters beneath the Dotson Ice Shelf in Antarctica one year ago. They have transmitted their data via satellite successfully, proving that these robots and approach can work in this harsh, remote environment.

22 Jan 2019

Underwater robots to measure Antarctica climate threat

CNN, Lynda Kinkade and Shelby Rose

Scientists with the University of Washington in conjunction with Paul G. Allen Philanthropies are sending robots to Antarctica for as long as a year in what will be the longest mission ever undertaken in the region. Seagliders and profiling floats will focus on Pine Island Glacier in West Antarctica, the continent's fastest-melting ice sheet. The aim: to gain more extensive data about the rate of ice loss and thus more accurately predict future sea level rise.

27 Jan 2018

More News Items

Acoustics Air-Sea Interaction & Remote Sensing Center for Environmental & Information Systems Center for Industrial & Medical Ultrasound Electronic & Photonic Systems Ocean Engineering Ocean Physics Polar Science Center
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