Pacific Marine Atmospheric Boundary Layer (MABL) Sensing and Prediction

Abstract

Pacific Marine Atmospheric Boundary Layer (MABL) Sensing and PredictionThe Marine Atmospheric Boundary Layer and its coupling to the upper ocean continues to pose a unique set of prediction challenges: the physical environment on both sides of the air-water interface and the propagation of signals in these regimes. Similarly, challenges exist in observing the physics in this domain where gradients in environmental fields are sub-grid scale to the resolution of modelling tools. The proposed work will advance observational techniques for assessing environmental impacts on RF propagation with a particular focus on the role of surface waves, turbulent boundary layers, and the coupling physics that occur at sharp oceanic gradients (e.g. fronts). Novel to this work is the use of unmanned vehicles with specialized payloads, radar systems, and advanced autonomy algorithms in a synthesized framework for collecting adaptive measurements in real-time. These measurements will be used to improve the representation of sub-grid scale processes in numerical prediction tools. The proposed work will include the analysis of relevant ONR sponsored datasets and the collection of new observational datasets in the Western Pacific region. We propose to continue a trajectory of developing tools to observe this complex environment, collecting new observations, and interpreting those observations both in the context of physical processes and numerical prediction tools. This research will include the collection of data sets in the Pacific, identify gaps in present day prediction tools, and provide scientific results to underpin future research investments.

Document Details

Document Type
DoD Grant Award
Publication Date
Jan 06, 2021
Source ID
N000142114014

Entities

People

  • Eric Terrill

Organizations

  • Office of Naval Research
  • United States Navy
  • University of California, San Diego

Tags

Fields of Study

  • Environmental science

Readers

  • Distributed Systems and Data Platform Development
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers

Technology Areas

  • Autonomy