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David Jones

Director, EIS Center & Interim Director-Business & Finance, Senior Principal Oceanographer

Email

dwjones@apl.washington.edu

Phone

206-543-3236

Research Interests

Program Management, Operational Meteorology and Oceanography, Sensor Fusion and Integration, Human Computer Interaction (HCI), Human Systems Integration (HSI), Metacogniton: Decision Making, Problem Solving and Planning

Biosketch

David Jones is the Director for the Center for Environmental and Information Systems (CEIS) at APL-UW. CEIS pursues a broad area of research and development, but its primary focus is on environmental information, from collection by in situ sensors, to signal processing and statistical analysis, and finally to fusion and visualization in decision support systems.
His own research has been at the intersection between the earth sciences, computer science, and cognitive psychology. The research entails both investigating how people make decisions that are impacted by changes in the physical environment (e.g., winds or ocean currents) and then developing technologies that help people improve their decision-making and operations.
Two current projects are: a) Principal Investigator (PI) for the Glider, Monitoring, Piloting and Communication System, which is human-robot control system for ocean autonomous vehicles — David leads a team that is using a cognitive engineering approach and new web application technologies to develop a user interface and back-end system that allows human pilots to control multiple robotic-like vehicles called ocean gliders; b) Co-PI for the NOAA funded Northwest Regional Coastal Ocean Observing system — leading the team that is developing the information web portal, new visualizations, and data analysis tools.

Education

B.S. Meteorology and Oceanography, S.U.N.Y Maritime College, 1979

M.S. Physical Oceanography, University of Washington, 1989

Projects

NVS: NANOOS Visualization System

The NANOOS Visualization System (NVS) is your tool for easy access to data. NVS gathers data across a wide range of assets such as buoys, shore stations, and coastal land-based stations. Never before available downloads and visualizations are provided in a consistent format. You can access plots and data for almost all in-situ assets for the previous 30-day period.

2 Nov 2009

BIS: Boater Information System

The Applied Physics Laboratory at the University of Washington developed a prototype Boater Information System (BIS) to help boaters access the best weather and oceanographic information for Puget Sound waterways. BIS gives sailors, power boaters, kayakers, fishermen, windsurfers, and kite boarders their own web portal tailored to their selected information needs.

1 Jan 2007

NANOOS: Northwest Association of Networked Ocean Observing Systems

This Pacific Northwest regional association is a partnership of information producers and users allied to manage coastal ocean observing systems for the benefit of stakeholders and the public. NANOOS is creating customized information and tools for Washington, Oregon, and Northern California.

1 Jan 2004

More Projects

Publications

2000-present and while at APL-UW

Operational glider monitoring, piloting and communications

Mensi, B., R. Rowe, S. Dees, D. Bryant, D. Jones, and R. Carr, "Operational glider monitoring, piloting and communications," Proc., Ocean Engineering Society - IEEE Autonomous Underwater Vehicles, 6-9 October, Oxford, MS (OES-IEEE, 2014).

More Info

6 Oct 2014

The Glider Operations Center (GOC) at the Naval Oceanographic Office (NAVOCEANO) is responsible for operating a fleet of autonomous unmanned systems, including ocean gliders, in the collection of physical oceanography data. The data collected include ocean temperature, salinity, and optical properties, which are profiled at depth and used by ocean modelers to forecast future environmental ocean conditions. NAVOCEANO then provides these forecasts in near-real time to support strategic, operational, and tactical Navy fleet requirements and activities.

PROBCAST: A web-based portal to mesoscale probabilistic forecasts

Mass, C.F., S. Joslyn, J. Pyle, P. Tewson, T. Gneiting, A. Raftery, J. Baars, J.M. Sloughter, D. Jones, and C. Fraley, "PROBCAST: A web-based portal to mesoscale probabilistic forecasts," Bull. Am. Meteorol. Soc., 90, 1009-1014, 2009.

More Info

1 Jul 2009

This paper describes the University of Washington Probability Forecast (PROBCAST), a Web-based portal to probabilistic weather predictions over the Pacific Northwest. PROBCAST products are derived from the output of a mesoscale ensemble system run at the University of Washington, with the fields being postprocessed using Bayesian model averaging to produce sharp and reliable probabilistic predictions of temperature and precipitation. Based on research by University of Washington psychologists and human-interface specialists, a Web site has been constructed that allows for access to key elements of the probabilistic information produced by the system. The design approach of the PROBCAST system is explained in this paper as well as some of the challenges for future development. PROBCAST is intended to be a prototype for the kind of probabilistic forecast interface that could be used throughout the nation.

Strategies in naturalistic decision making: A cognitive task analysis of naval weather forecasting

Joslyn, S. and D. Jones, "Strategies in naturalistic decision making: A cognitive task analysis of naval weather forecasting," in Naturalistic Decision Making and Macrocognition, edited by J.M.C. Schraagen, L. Militello, T. Ormerod, and R. Lipshitz (Aldershot, U.K.: Ashgate Publishing Limited, 2008).

More Info

1 Jan 2008

The work reported here was undertaken to gain an understanding of the weather forecasting process in a naturalistic setting that involves task switching and moderate time pressure. In the first study, Navy weather forecasters verbalized their thoughts while they completed a standard forecasting task. In the second study, Navy weather forecasters completed a questionnaire after finishing each of 22 forecasts. The studies showed that military forecasting is streamlined; forecasters relied largely on numerical weather prediction models, and problem solving was predominantly rule-based rather than based upon a four-dimensional mental representation of the atmosphere. Strategies suggested an effort to minimize workload in order to adapt to task demands. Despite the need for efficiency, military forecasters appeared to maintain system awareness. All forecasters expressed some understanding of numerical model uncertainty.

More Publications

Inventions

Networked Environmental Monitoring and Operations for Seaglider

Record of Invention Number: 45453

Robert Carr, David Jones, Beth Kirby, Stuart Maclean

Disclosure

2 Dec 2010

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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