The NPOESS Ozone Mapping and Profiler Suite (OMPS) will collect data to permit the retrieval of the vertical and horizontal distribution of ozone in the Earth's atmosphere. Algorithm development efforts in connection with these measurements include the preparation of Algorithm Theoretical Basis Documents (ATBDs), Operational Algorithm Documents (OADs), and science grade code with associated test sets and documentation. These items are provided to the Interface Data Processing Segment (IDPS) for conversion and integration into the operational system. This paper addresses elements of the process being used to convert, test, and maintain the maturing and changing science grade code to the initial operational source code for the OMPS. The operational OMPS SDRs and EDRs will be generated by the IDPS, that is, ozone output items will include the sensor and environmental data records, associated metadata and product validation; e.g. ancillary data, calibration information and quality flags.
KEYWORDS: Satellites, Data communications, Data storage, Data processing, Receptors, Telecommunications, Sensors, Space operations, Clouds, Meteorological satellites
A key feature of the National Polar-orbiting Operational Environmental Satellite System (NPOESS) is the Northrop Grumman Space Technology patent-pending innovative data routing and retrieval architecture called SafetyNetTM. The SafetyNetTM ground system architecture for the National Polar-orbiting Operational Environmental Satellite System (NPOESS), combined with the Interface Data Processing Segment (IDPS), will together provide low data latency and high data availability to its customers. The NPOESS will cut the time between observation and delivery by a factor of four when compared with today's space-based weather systems, the Defense Meteorological Satellite Program (DMSP) and NOAA's Polar-orbiting Operational Environmental Satellites (POES). SafetyNetTM will be a key element of the NPOESS architecture, delivering near real-time data over commercial telecommunications networks. Scattered around the globe, the 15 unmanned ground receptors are linked by fiber-optic systems to four central data processing centers in the U. S. known as Weather Centrals. The National Environmental Satellite, Data and Information Service; Air Force Weather Agency; Fleet Numerical Meteorology and Oceanography Center, and the Naval Oceanographic Office operate the Centrals. In addition, this ground system architecture will have unused capacity attendant with an infrastructure that can accommodate additional users.
KEYWORDS: Sensors, Algorithm development, Algorithms, Data conversion, Data processing, Data modeling, Satellites, Space operations, Calibration, Atmospheric modeling
The NGST/Raytheon Contractor Team selected to build and operate the system has responsibility for both hardware and algorithms . This paper describes the process being used by the NGST/Raytheon team to convert science-grade algorithm code to operational code. Also discussed are the challenges, rewards, and pitfalls associated with the process of converting an evolving science-grade algorithm code to pre-launch operational code. A major challenge is dealing with two simultaneous feedback loops; one between the NGST and the sensor vendor; another between NGST and its Raytheon partner to convert an evolving and immature science product to an operational product.
The tri-agency Integrated Program Office (IPO) created Operational Algorithm Teams (OATs) in 1997 to provide scientific advice for managing the development and operation of the National Polar-orbiting Operational Environmental Satellite System (NPOESS). The scientific advice focuses on (1) assuring sound science in instrument and systems design in addition to (2) assuring development and implementation of sound scientific algorithms. This paper outlines the role of IPO operational algorithm teams from mission conception, through instrument design and development, algorithm science code development and conversion to operational code, data processing system implementation, calibration, validation, and, finally, operational data and products distribution to a range of users for weather, national security, and climate science. The composition of the algorithm science teams changes substantially as the sensors and algorithms are developed, tested, integrated, launched, become operational, and age on-orbit. The concept of leveraging our heritage scientists has proven successful with many tangible benefits to the government, the contractor teams, and, ultimately, the nation's taxpayers.
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