Tech Briefs

Multi-Mission Operations System (MMOS)

MMOS provides a reference design for a Mission Operations System (MOS) and facilitates adaptation to meet mission-specific needs.Each mission needs to develop a Mission Operations System (MOS). Without a standard design to use as a reference, system engineers typically look to a subset of previous missions and develop a system with a mix of heritage, new design, and in some cases, reinvention of existing capabilities. If a reference design were available, mission operations engineers would be able to begin with that reference and add or modify only those portions needed to fulfill a mission’s unique requirements.

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Study of Formulating Conserved Scalar Equations for Turbulent Reactive Flows with General Species Mass- Diffusion Coefficients for Utilization in Flamelet Models

The modeling of turbulent reactive flows is a subject of contemporary research. Current turbulent-reaction models cannot account for realistic complexities such as distinct species mass-diffusion coefficients. Under the assumption of a single, constant, mass-diffusion coefficient, a conserved-scalar equation is typically derived in turbulent reactive flows by taking the difference between chemical-species conservation equations having opposite reaction rates (in the sense that the reactant has an opposite reaction rate to the product), thereby creating an equation devoid of reaction terms. Assuming the reaction regions are very thin and are merely contorted by turbulence, chemistry and turbulence can be decoupled, and the evolving statistics of the conserved scalar describe the reaction progression. No such equation has yet been derived for distinct mass-diffusion coefficient cases where the single coefficient is now replaced by a full matrix. Considering that mass diffusion is responsible for reactants approaching at the molecular level and for reaction initiation, this lack of mathematical framework is very disturbing.

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HORIZON Framework for Distributed Data Management and Product Generation Workflow

The NASA Earth Observing System Data and Information System (EOSDIS) is a data-centric system designed for the processing and archiving from NASA’s Earth Observation missions and their distribution, as well as provision of specialized services to users. The major components of EOSDIS are 12 Distributed Active Archive Centers (DAACs), 14 Science Investigator-led Processing Systems (SIPSs), and the EOS Clearing House (ECHO). The DAACs play an import role within EOSDIS. They are divided by discipline with User Working Groups (UWGs) tailored to mission and objectives of the DAAC.

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TIE: The Imagery Exchange for the NASA Global Imagery Browse Services (GIBS) Project

The NASA Earth Observing System Data and Information System (EOSDIS) is a data-centric system designed for processing and archiving from NASA’s Earth Observation missions and their distribution, as well as provision of specialized services to users. The major components of EOSDIS are 12 Distributed Active Archive Centers (DAACs), 14 Science Investigator-led Processing Systems (SIPSs), and the EOS Clearing House (ECHO). The Global Imagery Browse Services (GIBS) is the value-added image archive and access service for NASA Earth Science data products. It is the high-resolution global imagery solution for NASA. As the central imagery hub, GIBS is in need of an automated, scalable imagery capturing and generation solution.

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Space Communications and Navigation (SCaN) Game Phase III

The Space Communications and Navigation (SCaN) program is responsible for providing communications and navigation services to spaceflight missions located throughout the solar system. Astronauts, mission controllers, and scientists depend upon the reliable transmission of information between Earth and spacecraft in low Earth orbit (LEO) or deep space.

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Adverse Condition and Critical Event Prediction Toolbox (ACCEPT)

One of the main features is the relaxation of the technical conditions required for robust early detection of the onset of adverse events.Many natural or complex engineered systems rely upon critical functions or processes that can be measured with the aid of various sensors or other novel devices. As a result, sensor and measurement data can be used to learn a parametric or non-parametric model of the behavior for a given process or metric. For such processes or metrics, it may be critical to avoid or be forewarned of impending level crossings that may characterize entry into extreme or potentially catastrophic operating regimes. Under certain circumstances, the metric to be monitored may represent the residual, or difference between an actual value and a predicted value generated by an independent regression method, rather than a physical process having a physically interpretable meaning.

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MATLAB Webification Science Client

The Matlab Webification Science Client consists of several functions that access remote w10n-sci repositories to retrieve data. It supports user sessions to authenticate and authorize access to restricted repositories. In command line mode, it can list the contents of a w10n-sci node, change to other nodes, and retrieve data in chunks or as entire files. Command line mode facilitates batch processing of w10n-sci data by embedding these functions in custom MATLAB scripts.

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