# Flare forecasting at the Met Office Space Weather Operations Centre

**Authors:** Sophie A. Murray, Suzy Bingham, Michael Sharpe, and David R. Jackson

arXiv: 1703.06754 · 2018-11-22

## TL;DR

This paper details the solar flare forecasting process at the UK Met Office, including verification methods, the role of human forecasters, and the performance of operational forecasts over different lead times.

## Contribution

It provides a comprehensive description of operational flare forecasting procedures and evaluates forecast accuracy, emphasizing human influence and verification techniques.

## Key findings

- Human-edited forecasts outperform original models.
- Forecast skill decreases with longer lead times.
- Operational verification methods are effectively applied.

## 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.

## Full text

_Full body text omitted from this summary view._ Fetch the complete paper as Markdown: https://tomesphere.com/paper/1703.06754/full.md

## Figures

8 figures with captions in the complete paper: https://tomesphere.com/paper/1703.06754/full.md

## References

30 references — full list in the complete paper: https://tomesphere.com/paper/1703.06754/full.md

---
Source: https://tomesphere.com/paper/1703.06754