Abstract: A system, method and computer-readable storage devices for providing an interface for an analytic service for Modern-Era Retrospective Analysis for Research and Applications (MERRA) datasets. An example system for providing the service includes a data analytics platform of an assemblage of compute and storage nodes that provide a compute-storage fabric upon which high-performance parallel operations are performed over a collection of climate data stored in a distributed file system, a sequencer that transforms the climate data, a desequencer that transforms serialized block compressed sequence files between data formats. The system includes a services library of applications that dynamically create data objects from the data as reduced final results, and a utilities library of software applications that process flat serialized block compressed sequence files. The system also includes a service interface through which a client device can access the climate data via the data analytics platform.

Abstract: A system, method and computer-readable storage devices for providing a climate data persistence service. A system configured to provide the service can include a climate data server that performs data and metadata storage and management functions for climate data objects, a compute-storage platform that provides the resources needed to support a climate data server, provisioning software that allows climate data server instances to be deployed as virtual climate data servers in a cloud computing environment, and a service interface, wherein persistence service capabilities are invoked by software applications running on a client device. The climate data objects can be in various formats, such as International Organization for Standards (ISO) Open Archival Information System (OAIS) Reference Model Submission Information Packages, Archive Information Packages, and Dissemination Information Packages.

Abstract: A system, method and computer-readable storage devices for providing an interface for an analytic service for Modern-Era Retrospective Analysis for Research and Applications (MERRA) datasets. An example system for providing the service includes a data analytics platform of an assemblage of compute and storage nodes that provide a compute-storage fabric upon which high-performance parallel operations are performed over a collection of climate data stored in a distributed file system, a sequencer that transforms the climate data, a desequencer that transforms serialized block compressed sequence files between data formats. The system includes a services library of applications that dynamically create data objects from the data as reduced final results, and a utilities library of software applications that process flat serialized block compressed sequence files. The system also includes a service interface through which a client device can access the climate data via the data analytics platform.

Abstract: A system, method and computer-readable storage devices for providing a climate data persistence service. A system configured to provide the service can include a climate data server that performs data and metadata storage and management functions for climate data objects, a compute-storage platform that provides the resources needed to support a climate data server, provisioning software that allows climate data server instances to be deployed as virtual climate data servers in a cloud computing environment, and a service interface, wherein persistence service capabilities are invoked by software applications running on a client device. The climate data objects can be in various formats, such as International Organization for Standards (ISO) Open Archival Information System (OAIS) Reference Model Submission Information Packages, Archive Information Packages, and Dissemination Information Packages.

Abstract: A man portable device for detecting the presence of hazardous material includes a pulsed or time-modulated light source and an objective scannable across the surface of a sample for projecting light from the light source onto a succession of spots on the surface of the sample. A spectrometer performs a spectral analysis of the induced fluorescence to create a first dataset defining a first vector as a function of wavelength. A time domain detector for measuring the time decay of the induced fluorescence collected simultaneously creates a second dataset defining a second vector as a function of time. A computer identifies hazardous material by performing independent multivariate analysis on the first and second vectors as the objective is scanned across the sample surface based on fluorescent signal models for hazardous materials in the spectral and time domains.