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Are cars set to be the next 'ultimate mobile device'?

This week's Question: As companies like Google and Apple lead self-driving car efforts, Hyundai Motors America CEO David Zuchowski expects the bridge between Silicon Valley and auto companies to narrow. In a recent interview with CNBC, Zuchowski suggested cars could replace mobile phones as the next big smart device. The CEO expects alliances to form between automakers — potential "hardware builders" — and technology companies that supply the software. "[Consumers] want an Apple experience," Zuchowski told CNBC. "The car is the ultimate mobile device, right?" What do you think? Are cars set to be the next 'ultimate mobile device'?    

Posted in: Question of the Week

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NASA Measures Raindrop Sizes from Space

For the first time, scientists have three-dimensional snapshots of raindrops and snowflakes around the world, thanks to the joint NASA and Japan Aerospace Exploration Agency Global Precipitation Measurement (GPM) mission. With the new global data on raindrop and snowflake sizes, scientists can improve rainfall estimates from satellite data and numerical weather forecast models.

Posted in: News, Measuring Instruments, Monitoring

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SEA5: Space Environment Automated Alerts & Anomaly Analysis Assistant

Goddard Space Flight Center, Greenbelt, Maryland The Community Coordinated Modeling Center (CCMC) provides a wide range of space weather tools and services for the general scientific community. One such product that facilitates space weather situational awareness is collectively known as the Integrated Space Weather Analysis (ISWA) System. Using the ISWA system and other tools, space weather forecasters are able to assess the space environment in both real time and for historical cases — both of which help mitigate potential space weather impacts on missions, as well as assist in spacecraft anomaly resolution. The Space Environment Automated Alerts & Anomaly Analysis Assistant (SEA5) will provide past, present, and predicted space environment information for specific missions, orbits, and user-specified locations throughout the heliosphere, geospace, and on the ground.

Posted in: Briefs, Data Acquisition

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Extensible Data Gateway Environment (EDGE)

NASA’s Jet Propulsion Laboratory, Pasadena, California The NASA Physical Oceanography Distributed Active Archive Center (PO.DAAC) is NASA’s designated data center for information relevant to the physical state of the ocean. Its core datamanagement and workflow system, Data Management and Archive System (DMAS), is responsible for processing hundreds of thousands of data products each day, around the clock. Its inventory captures over 800 datasets, several million granules, and millions of files. PO.DAAC is in need of a solution to help users quickly identify the relevant oceanographic data artifact. It also needs to export metadata according to the ISO-19115, FGDC, and GCMD specifications. Developing such a solution on top of its Oracle database has several issues. First, it is difficult to maintain since SQL needs to be updated when a schema changes or when new search criteria is needed. Second, multi-table joins yield poor performance. Third, query performance can be improved with additional indexes, but performance is negatively impacted on updates. Fourth, exposing the operational database as the direct backend to a publicly accessible service layer would subject Oracle to a Denial of Service (DoS) attack, which could halt the already very busy DMAS operation environment.

Posted in: Briefs, Data Acquisition

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Flight Test Maneuvers for Efficient Aerodynamic Modeling

Langley Research Center, Hampton, Virginia Flight testing is expensive. It is therefore important that necessary flight data be collected in the most efficient manner possible. Inputs traditionally used for flight test maneuvers to collect aircraft stability and control data include doublets, impulses (stick raps), multisteps, and frequency sweeps. All of these input types are designed for single-axis response, although often the inputs are applied sequentially to different controls to collect multi-axis data.

Posted in: Briefs, Data Acquisition

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JPL CO2 Virtual Science Data Environment (VSDE)

NASA’s Jet Propulsion Laboratory, Pasadena, California The JPL CO2 Virtual Science Data Environment (VSDE) (http://co2.jpl.nasa.gov) is a comprehensive effort to bring together the models, data, and tools necessary for atmospheric CO2 research. The VSDE site is designed to provide streamlined Web-based discovery and access to multiple global and regional carbon dioxide data sets. Furthermore, this site provides tools for conversion, manipulation, and transformation of the data to facilitate research.

Posted in: Briefs, Data Acquisition

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Python Advanced Microwave Precipitation Radiometer Data Toolkit (PyAMPR)

Marshall Space Flight Center, Alabama Advanced Microwave Precipitation Radiometer (AMPR) brightness temperature data from NASA field projects are in ASCII format. This Python script defines a class that will read in a single file from an individual aircraft flight and pull out timing, brightness temperatures from each channel, geolocation, and other information and store them as attributes using numpy arrays of the appropriate type.

Posted in: Briefs, Data Acquisition

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