The Anemomilos prediction methodology for Dst. Issue 9 (19th September 2013)

• Record Type: Journal Article
• Authors: Tobiska, W. K.; Knipp, D.; Burke, W. J.; Bouwer, D.; Bailey, J.; Odstrcil, D.; Hagan, M. P.; Gannon, J.; Bowman, B. R.
• Is Part Of: Space weather. Volume 11:Issue 9(2013:Sep.)
• Page Start: 490
• Page End: 508
• Publication Date: 2013-09-19
• Subjects: space weather forecasting; Space environment -- Periodicals; 551.509992
• DOI: 10.1002/swe.20094
• Languages: English
• ISSNs: 1542-7390

Abstract

Abstract: [1] This paper describes new capabilities for operational geomagneticD isturbances tormt ime (Dst) index forecasts. We present a data‐driven, deterministic algorithm called Anemomilos for forecasting Dst out to a maximum of 6 days for large, medium, and small storms, depending upon transit time to the Earth. This capability is used for operational satellite management and debris avoidance in Low Earth Orbit (LEO). Anemomilos has a 15 min cadence, 1 h time granularity, 144 h prediction window (+6 days), and up to 1 h latency. A new finding is that nearly all flare events above a certain irradiance threshold, occurring within a defined solar longitude/latitude region and having sufficient estimated liftoff velocity of ejected material, will produce a geoeffective Dst perturbation. Three solar observables are used for operational Dst forecasting: flare magnitude, integrated flare irradiance through time, and event location. Magnitude is a proxy for ejecta quantity or mass and, combined with speed derived from the integrated flare irradiance, represents the kinetic energy. Speed is estimated as the line‐of‐sight velocity for events within 45° radial of solar disk center. Storms resulting from high‐speed streams emanating from coronal holes are not modeled or predicted. A new result is that solar disk, not limb, observable features are used for predictive techniques. Comparisons between Anemomilos predicted and measured Dst for every hour over 25 months in three continuous time frames between 2001 (high solar activity), 2005 (low solar activity), and 2012 (rising solar activity) are shown. The Anemomilos operational algorithm was developed for a specific customer use related to thermospheric mass density forecasting. It is an operational space weather technology breakthrough using solar disk observables to predict geomagnetically effective Dst up to several days at 1 h time granularity. Real‐time forecasts are presented at http://sol.spacenvironment.net/~sam_ops/index.html? Key Points: Dst forecast uses solar kinetic energy and location observables Dst is operationally forecast to 6 days depending upon events at the Sun Anemomilos algorithm provides the JB2008 thermosphere density model Dst forecast index