SWx TREC: Further Developments on an Integrative Space Weather (SWx) Data Portal

2020 ◽  
Author(s):  
Tom Baltzer ◽  
Greg Lucas ◽  
Chris Pankratz ◽  
Jennifer Knuth ◽  
Doug Lindholm
Keyword(s):  
Space Weather ◽  
Space Physics ◽  
Weather Data ◽  
Science Data ◽  
Data Interoperability ◽  
Display Technology ◽  
Metadata Repository ◽  
Data Portal ◽  
Common Interface ◽  
Research And Education

<p>Working under the Space Weather Technology, Research and Education Center (SWx-TREC https://www.colorado.edu/spaceweather/).  The Laboratory for Atmospheric and Space Physics (LASP) is developing a Space Weather (SWx) Data Portal to provide unified access to disparate datasets to help close the Research to Operations (R2O) and Operations to Research (O2R) gap. </p><p>LASP is building the SWx Portal leveraging technologies developed in support of spacecraft operations (WEBTCAD), Irradiance Dataset viewing and downloading (LISIRD: http://lasp.colorado.edu/lisird/ ) and the MAVEN and MMS Science Data Portals.  The primary technologies include a data model and software library that enables data interoperability known as LaTiS (https://github.com/latis-data) and the LASP Extended Metadata Repository (LEMR) which is developed as ontologies that not only represent the datasets, but also the front-end elements which are used to display them.  Additionally, we have developed a JavaScript science data display technology that leverages off LaTiS server instances to allow for consistent and straightforward display of datasets.  These technologies together facilitate a common interface to myriad datasets and formats which will enable us to expand the offerings quickly and provide consistent visualization, access to metadata, and download capabilities across them.</p><p>This presentation will discuss advancements in the portal development in the last year to both in terms of available datasets and in terms of new functionality.  We will also provide a demonstration of the released system that will include datasets demonstrating a solar event, its progression toward Earth and its Earth affect perspective of Space Weather Data centering on the 2015 St. Patrick’s day storm.</p>

The SWx TREC Integrative Space Weather Data Portal and Model/Algorithm Testbed Environment

2020 ◽  
Author(s):  
Chris Pankratz ◽  
Thomas Baltzer ◽  
Greg Lucas ◽  
James Craft ◽  
Thomas Berger ◽  
...  
Keyword(s):  
Space Weather ◽  
Space Physics ◽  
Scientific Understanding ◽  
Weather Data ◽  
Data Sets ◽  
Multiple Sources ◽  
Data Repositories ◽  
Research Technology ◽  
Data Portal ◽  
Weather Research

<p>The Space Weather Technology, Research and Education Center (SWx TREC) is a center of excellence in cross-disciplinary research, technology, innovation, and education, intended to facilitate evolving space weather research and forecasting needs.  SWx TREC facilitates research advances, innovative missions, and data and computing technologies that directly support the needs of the SWx community to advance understanding and support closure of the Research to Operations (R2O) and Operations to Research (O2R) loop. Improving our understanding and prediction of space weather requires coupled Research and Operations. SWx-TREC is working to provide new research models, applications and data for use in operational environments, improving the Research-to-Operations (R2O) pipeline.  Advancement in the fundamental scientific understanding of space weather processes is also vital, requiring that researchers have convenient and effective access to a wide variety of data sets and models from multiple sources. The space weather research community, as with many scientific communities, must access data from dispersed and often uncoordinated data repositories to acquire the data necessary for the analysis and modeling efforts that advance our understanding of solar influences and space physics in the Earth’s environment. The University of Colorado (CU) is a leading institution in both producing data products and advancing the state of scientific understanding of space weather processes, and we are now hosting both an interoperable data portal providing streamlined, centralized, and event-based access to a wide variety of disparate data sets and also a community-accessible, Cloud-based testbed environment to support development, testing, transition, and use of new models, visualizations, algorithms, and forecast products.  In this presentation, we will describe our community-accessible testbed environment and demonstrate the Space Weather Data Portal.</p>

SWx TREC’s Space Weather Data Portal: a launch pad for space weather research

2021 ◽  
Author(s):  
Jenny Knuth ◽  
Greg Lucas ◽  
CHRISTOPHER PANKRATZ ◽  
Thomas Berger ◽  
Richard Clark ◽  
...  
Keyword(s):  
Space Weather ◽  
Weather Data ◽  
Data Portal ◽  
Weather Research

scholarly journals A Distributed File-Based Storage System for Improving High Availability of Space Weather Data

2019 ◽  
Vol 9 (23) ◽  
pp. 5024
Author(s):  
Andrian ◽  
Kim ◽  
Ju
Keyword(s):  
Data Storage ◽  
Space Weather ◽  
File System ◽  
Single Point ◽  
Storage System ◽  
Science Research ◽  
Data Availability ◽  
Weather Data ◽  
Time Data ◽  
Replication Time

In space science research, the Indonesia National Institute of Aeronautics and Space (LAPAN) is concerned with the development of a system that provides actual information and predictions called the Space Weather Information and Forecast Services (SWIFtS). SWIFtS is supported by a data storage system that serves data, implementing a centralized storage model. This has some problems that impact to researchers as the primary users. The single point of failure and also the delay in data updating on the server is a significant issue when researchers need the latest data, but the server is unable to provide it. To overcome these problems, we proposed a new system that utilized a decentralized model for storing data, leveraging the InterPlanetary File System (IPFS) file system. Our proposed method focused on the automated background process, and its scheme would increase the data availability and throughput by spreading it into nodes through a peer-to-peer connection. Moreover, we also included system monitoring for real-time data flow from each node and information of node status that combines active and passive approaches. For system evaluation, the experiment was performed to determine the performance of the proposed system compared to the existing system by calculating mean replication time and the mean throughput of a node. As expected, performance evaluations showed that our proposed scheme had faster file replication time and supported high throughput.

scholarly journals The GOES-R EUVS model for EUV irradiance variability

2019 ◽  
Vol 9 ◽  
pp. A43 ◽  
Author(s):  
Edward M. B. Thiemann ◽  
Francis G. Eparvier ◽  
Don Woodraska ◽  
Phillip C. Chamberlin ◽  
Janet Machol ◽  
...  
Keyword(s):  
Solar Flare ◽  
Space Weather ◽  
Extreme Ultraviolet ◽  
Spectral Irradiance ◽  
Weather Data ◽  
New Era ◽  
X Ray ◽  
Calibration Methods ◽  
Rapid Dissemination ◽  
Primary Space

The Geostationary Operational Environmental Satellite R (GOES-R) series of four satellites are the next generation NOAA GOES satellites. Once on orbit and commissioned, they are renamed GOES 16–19, making critical terrestrial and space weather measurements through 2035. GOES 16 and 17 are currently on orbit, having been launched in 2016 and 2018, respectively. The GOES-R satellites include the Extreme Ultraviolet (EUV) and X-ray Irradiance Sensors (EXIS) instrument suite, which measures calibrated solar irradiance in eight lines or bands between 25 nm and 285 nm with the Extreme Ultraviolet Sensors (EUVS) instrument. EXIS also includes the X-Ray Sensor (XRS) instrument, which measures solar soft X-ray irradiance at the legacy GOES bands. The EUVS Measurements are used as inputs to the EUVS Model, a solar spectral irradiance model for space weather operations that predicts irradiance in twenty-two 5 nm wide intervals from 5 nm to 115 nm, and one 10 nm wide interval from 117 to 127 nm at 30 s cadence. Once fully operational, NOAA will distribute the EUVS Model irradiance with 1 min latency as a primary space weather data product, ushering in a new era of rapid dissemination and measurement continuity of EUV irradiance spectra. This paper describes the EUVS Model algorithms, data sources, calibration methods and associated uncertainties. Typical model (relative) uncertainties are less than ~5% for variability at time-scales longer than 6 h, and are ~25% for solar flare induced variability. The absolute uncertainties, originating from the instruments used to calibrate the EUVS Model, are ~10%. Examples of model results are presented at both sub-daily and multi-year timescales to demonstrate the model’s capabilities and limitations. Example solar flare irradiances are also modeled.

scholarly journals Current state and perspectives of Space Weather science in Italy

2020 ◽  
Vol 10 ◽  
pp. 6
Author(s):  
Christina Plainaki ◽  
Marco Antonucci ◽  
Alessandro Bemporad ◽  
Francesco Berrilli ◽  
Bruna Bertucci ◽  
...  
Keyword(s):  
Space Weather ◽  
Weather Forecasting ◽  
Space Missions ◽  
Weather Data ◽  
Space Weather Forecasting ◽  
Current State ◽  
Space Agency ◽  
New Instrumentation ◽  
Important Field ◽  
Italian Space Agency

Italian teams have been involved many times in Space Weather observational campaigns from space and from the ground, contributing in the advancing of our knowledge on the properties and evolution of the related phenomena. Numerous Space Weather forecasting and now-casting modeling efforts have resulted in a remarkable add-on to the overall progress in the field, at both national and international level. The Italian Space Agency has participated several times in space missions with science objectives related to Space Weather; indeed, an important field for the Italian scientific and industrial communities interested in Heliophysics and Space Weather, is the development of new instrumentation for future space missions. In this paper, we present a brief state-of-the-art in Space Weather science in Italy and we discuss some ideas on a long-term plan for the support of future scientific research in the related disciplines. In the context of the current roadmap, the Italian Space Agency aims to assess the possibility to develop a national scientific Space Weather data centre to encourage synergies between different science teams with interest in the field and to motivate innovation and new mission concept development. Alongside with the proposed recommendations, we also discuss how the Italian expertise could complement international efforts in a wider international Space Weather context.

GPS satellites yield space weather data

Science ◽  
2017 ◽  
Vol 355 (6324) ◽  
pp. 443-443 ◽  
Author(s):  
Paul Voosen
Keyword(s):  
Space Weather ◽  
Weather Data ◽  
Gps Satellites

scholarly journals Prediction of Diseases in Smart Health Care System using Machine Learning

2020 ◽  
Vol 8 (5) ◽  
pp. 2534-2537
Keyword(s):  
Machine Learning ◽  
Data Mining ◽  
Health Care ◽  
Medical Science ◽  
Science Data ◽  
Management Tools ◽  
Data Mining Techniques ◽  
Medical Health Care ◽  
Smart Health ◽  
Research And Education

The main aim of this paper is to discuss about the use of Data mining in the field of Medical health care. These data mining techniques can be used in various fields of Research and Education also. The Smart Health Prediction System Is the Fastest emerging area in the field of medical science. Data mining is one of the fields of computer science that uses the existing data in medical field to predict the occurrence of diseases. By the use of machine learning and database management tools we can extract new patterns from group of large datasets and gain knowledge. In the following paper the survey is made on how the data mining techniques are used along with the machine learning to predict the diseases based on the user symptoms.

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