Science Data Processing for NISAR Using Hybrid Cloud Computing
Abstract
The NASA-ISRO Synthetic Aperture Radar (NISAR) satellite is designed to observe and take measurements of some of the planet's most complex processes. Data collected from NISAR will reveal information about the evolution and state of Earth's crust, help scientists better understand our planet's processes and changing climate, and aid future resource and hazard management. With the immense increase in volume of data acquisition and archival comes the challenge of intensive data processing. To achieve this the NISAR science data processing system uses HySDS. This data system utilizes both on-premise and cloud compute resources to perform every aspect of the traditional science data system while meeting latency requirements and handling the large volumes of data. In case of NISAR we expect to get 80TB daily. It can concurrently run automated workflows for forward keep up, reprocessing campaigns and on demand processes. It also supports urgent response pipelines for natural hazards such as earthquakes, volcanoes and landslides.
- Publication:
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AGU Fall Meeting Abstracts
- Pub Date:
- December 2019
- Bibcode:
- 2019AGUFMIN13C0722M
- Keywords:
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- 1626 Global climate models;
- GLOBAL CHANGE;
- 1920 Emerging informatics technologies;
- INFORMATICS;
- 1932 High-performance computing;
- INFORMATICS;
- 1994 Visualization and portrayal;
- INFORMATICS