What does HAF stand for?
HAF stands for Hakamada Akasofu Fry
This definition appears somewhat frequently
See other definitions of HAF
Samples in periodicals archive:
Hakamada-Akasofu-Fry (HAF) Kinematic Solar Wind Model Software Version Description UPOS-A83-07 J. J. Blanchette L. Nguyen C. D. Fry 30 March 2005 Version 2.
The Hakamada-Akasofu-Fry Version 2 (HAFv2) solar wind model is a "modified kinematic" model. "Kinematic" in that the model kinetically projects the flow of the solar wind from inhomogeneous sources near the sun out into interplanetary space. "Modified" in that the model adjusts the flow for stream-stream interactions as faster streams overtake slower ones.
A statistical study of the performance of the Hakamada-Akasofu-Fry.
Predicting Solar Wind Conditions Beyond 1 AU Using the Hakamada-Akasofu-Fry.
We use the HAFv3 (Hakamada-Akasofu-Fry version 3) solar wind model to forecast space storms. When a coronal mass ejection occurs, we run the model to determine if the CME is headed toward Earth, if and when it will arrive, and how strong it will be.
The first two coupled components in SWMS are the Hakamada-Akasofu-Fry version 2 (HAFv2) solar wind model and the Ionospheric Forecast Model (IFM). The HAFv2 model produces quantitative forecasts of solar wind parameters at Earth and elsewhere in the inner heliosphere. The IFM provides highly representative specifications of plasma conditions in the global ionosphere. The one-way coupling of HAFv2 to IFM links the solar storm drivers to the ionospheric response enabling SWMS to provide multi-day forecasts of the solar wind at the earth's orbit and the resulting ionospheric electron density, currents and upper atmosphere dynamics.
We have assembled and tested, in real time, a space weather modeling system that starts at the Sun and extends to the Earth through a set of coupled, modular components. We describe recent efforts to improve the Hakamada-Akasofu-Fry (HAF) solar wind model that is presently used in our geomagnetic storm prediction system. We also present some results of these improvement efforts. In a related paper, Akasofu  discusses the results of the first 2 decades using this system as a research tool and for space weather predictions.