Flare forecasting at the Met Office Space Weather Operations Centre
arXiv:1703.06754 · doi:10.1002/2016SW001579
Abstract
The Met Office Space Weather Operations Centre produces 24/7/365 space weather guidance, alerts, and forecasts to a wide range of government and commercial end users across the United Kingdom. Solar flare forecasts are one of its products, which are issued multiple times a day in two forms; forecasts for each active region on the solar disk over the next 24 hours, and full-disk forecasts for the next four days. Here the forecasting process is described in detail, as well as first verification of archived forecasts using methods commonly used in operational weather prediction. Real-time verification available for operational flare forecasting use is also described. The influence of human forecasters is highlighted, with human-edited forecasts outperforming original model results, and forecasting skill decreasing over longer forecast lead times.
arXiv commentAccepted for publication in Space Weather. 18 pages, 8 figures, 3 tables
References in corpus (4)
Cited by in corpus (21)
- Deep Flare Net (DeFN) model for solar flare prediction
- Forecasting the Arrival Time of Coronal Mass Ejections: Analysis of the CCMC CME Scoreboard
- A Comparison of Flare Forecasting Methods. II. Benchmarks, Metrics and Performance Results for Operational Solar Flare Forecasting Systems
- Modeling observations of solar coronal mass ejections with heliospheric imagers verified with the Heliophysics System Observatory
- The importance of ensemble techniques for operational space weather forecasting
- A Comparison of Flare Forecasting Methods. III. Systematic Behaviors of Operational Solar Flare Forecasting Systems
- A Comparison of Flare Forecasting Methods. IV. Evaluating Consecutive-Day Forecasting Patterns
- Operational solar flare prediction model using Deep Flare Net
- On the generation of probabilistic forecasts from deterministic models
- Verification of Space Weather Forecasts issued by the Met Office Space Weather Operations Centre
- Implementation paradigm for supervised flare forecasting studies: a deep learning application with video data
- Connecting Coronal Mass Ejections to their Solar Active Region Sources: Combining Results from the HELCATS and FLARECAST Projects
- Reliable Probability Forecast of Solar Flares: Deep Flare Net-Reliable (DeFN-R)
- A Framework for Designing and Evaluating Solar Flare Forecasting Systems
- A new catalogue of solar flare events from soft x-ray GOES signal in the period 1986-2020
- Solar Flares Forecasting Using Time Series and Extreme Gradient Boosting Ensembles
- Ensemble Forecasting of Major Solar Flares: Methods for Combining Models
- Machine learning as a flaring storm warning machine: Was a warning machine for the September 2017 solar flaring storm possible?
- A New Space Weather Tool for Identifying Eruptive Active Regions
- Evaluating Pointing Strategies for Future Solar Flare Missions
- The Flare Likelihood and Region Eruption Forecasting (FLARECAST) Project: Flare forecasting in the big data & machine learning era