University of Colorado SWx TREC Model Staging Platform: Facilitating Model/Algorithm R2O and O2R Development within a Cloud Computing Environment
Abstract
The Space Weather Technology, Research and Education Center (SWx TREC) is an emerging national center of excellence in cross-disciplinary research, technology, innovation, and education, intended to facilitate evolving space weather research and forecasting needs. Within this center, we are developing a Space Weather Model Staging Platform (MSP) to facilitate the R2O and O2R pipelines. The MSP leverages cloud computing to provide a managed computational environment for independent science teams to deploy their processing software into an operational-like system. Using cloud computing for the environment enables traditional defined-cadence (daily, hourly) model runs to be scheduled while also providing the ability to submit on-demand runs during storm times with no additional bulk hardware purchases that would otherwise sit idle most of the time. In this presentation, we demonstrate the ways that the MSP is being utilized. First, in the R2O pipeline, we have implemented code from the USGS to produce electric field maps at a set cadence to demonstrate that the code can be run in an operational mode. Second, in the O2R pipeline, we are taking operational codes such as the Enlil Solar Wind Model and the NOAA Whole Atmosphere Model (WAM), and enabling researchers to investigate new data assimilation techniques that can supplement and enhance current operational code capabilities. Finally, we demonstrate the use of cloud resources to generate automatic flare forecasts from satellite images.
- Publication:
-
AGU Fall Meeting Abstracts
- Pub Date:
- December 2021
- Bibcode:
- 2021AGUFMSM52A..04C