Researchers

Andy Jessup

Lead PI

Chair, AIRS Department

Senior Principal Oceanographer

AIRS Department

APL-UW

Professor, Civil and Environmental Engineering and Affiliate Associate Professor, Mechanical Engineering

Chris Chickadel

Principal Oceanographer

AIRS Department

APL-UW

Affiliate Assistant Professor, Civil and Environmental Engineering

Jim Thomson

Principal Oceanographer

AIRS Department

APL-UW

Associate Professor, Civil and Environmental Engineering

Gordon Farquharson

Principal Engineer

AIRS Department

APL-UW

Affiliate Assistant Professor, Electrical Engineering

Collaborators

Rob Holman

Co-Lead PI

Oregon State Univ.

Tuba Özkan-Haller

Oregon State Univ.

Mick Haller

Oregon State Univ.

Alexander Kurapov

Oregon State Univ.

Steve Elgar

WHOI

Britt Raubenheimer

WHOI

Funding

ONR

DARLA

Data Assimilation and Remote Sensing for Littoral Applications

Depth Seen from Height

Depth, or bathymetry, is a key variable to understand how to navigate safely in an area and how to make predictions for the conditions — the currents and waves. It's the controlling parameter.

DARLA will help determine the extent to which data assimilation models — initialized and contrained with remote sensing and in situ measurements — can infer bathymetry that can be used for navigation.

Related Research

DARLA is a collaborative project that couples state-of-the-art remote sensing and in situ measurements with advanced data assimilation (DA) modeling to (a) evaluate and improve remote sensing retrieval algorithms for environmental parameters based on signature physics and sensor fusion, (b) determine the extent to which remote sensing data can be used in place of in situ data in models, and (c) infer bathymetry for a range of littoral environments by combining remotely-sensed parameters and data assimilation models.

The project uses mature microwave, electro-optical, and infrared techniques to characterize the littoral ocean with a focus on wave and current parameters required for data assimilation modeling. Extensive in situ measurements will provide ground truth for both the remote sensing retrieval algorithms and the data assimilation modeling. Our results will demonstrate how currently available prediction schemes and remote sensing observing systems can be combined for maximal operational impact.

Photos & Videos

Wave field observations at the Columbia River bar by SWIFT drifters from the R/V Oceanus. A video by Micha Hilliard, narrated by Jim Thomson.

DARLA technology was used to study the landslide disaster near Oso, WA.

Close

 

Close

 

Close