Science Systems and Analysis provides science, engineering and data management support to the Jet Propulsion Laboratory (CalTech), Scripps Institution of Oceanography (UCSD), UCSC, Monterey Bay Aquarium Research Institute, Prince Williams Sound Science Institute, NASA, NOAA and other research institutions and government agencies in the field of earth science. Above is an illustration of the Raytheon design for the Integrated Ocean Observing System performed under contract to NOAA which Raytheon Pasadena and Raytheon Aurora, both part of Raytheon's Intelligence and Information Systems business, collaborated on. Two major earth observing projects with JPL are: Tropospheric Emissions Spectrometer (TES) and Microwave Limb Sounder (MLS).

Raytheon-Pasadena is responsible for the design, implementation, and operation of the Science Investigator Processing Systems (SIPS) for both instruments. We support data analysis, science software design, development, integration and testing. The TES and MLS missions are in their second year of measuring the Earth's greenhouse gases, pollution and aerosols in atmosphere. We also support the upcoming Orbiting Carbon Observatory.

Ocean science support, from model design and implementation, to data analysis and forecasting ocean events is another area of our expertise. The Regional Ocean Modeling team supporting JPL scientists has just completed participation in the very successful Monterey Bay summer modeling and measurement campaign MB06.

Above is an illustration of the Raytheon design for the Integrated Ocean Observing System performed under contract to NOAA which Raytheon Pasadena and Raytheon Aurora, both part of Raytheon's Intelligence and Information Systems business, collaborated on.

SIPS Architecture (Science Information Processing Data Systems) Provides Adaptable Infrastructure For Science Information Processing Generalized Architecture - Science and Mission Specific Code Isolated Adapt and Tailor the Processing System to the Mission Allows Independent Development & Testing of the Science Applications Minimizes the Interface between the System and the Science Processing Code Runs Applications Written in Any Language Isolates the Production System Developers From the Science Details

Proven Architecture for SIPS Implementation

SIPS Re-Use is Low Cost - Low Risk - Implementation Of Key SIPS Infrastructure Functions

• Provides the Framework for Rapid Implementation of Science Data Systems
• Scheduling
• Resource Management
• Data Management
• File & Hierarchical Cache Management
• Archive Subsystem Management
• Science Application Integration Support
• Tools for Message Passing, Logging, Operator Prompting, Inter-Process Communications
• Science Processing Software Integration - Flexible and Expandable Architecture Allows System to Adapt To the Mission Needs

Ocean Modeling Ocean models have been developed for near-cast and forecast Multiple regions of the coastal ocean and ocean basins Capable of supporting intense campaign style observations Physical and biological modeling modules are integrated to provide new insight into the life of the ocean

For more information, or a demo, please contact Michael Lampel.