Kp forecast models

Author:

Wing S.1,Johnson J. R.2,Jen J.1,Meng C.-I.1,Sibeck D. G.3,Bechtold K.1,Freeman J.4,Costello K.5,Balikhin M.6,Takahashi K.1

Affiliation:

1. Johns Hopkins University Applied Physics Laboratory; Laurel Maryland USA

2. Princeton Plasma Physics Laboratory; Princeton University; Princeton New Jersey USA

3. NASA Goddard Space Flight Center; Greenbelt Maryland USA

4. Physics and Astronomy Department; Rice University; Houston Texas USA

5. NASA Lyndon B. Johnson Space Flight Center; Houston Texas USA

6. Department of Automatic Control and System Engineering; University of Sheffield; Sheffield UK

Publisher

American Geophysical Union (AGU)

Subject

Paleontology,Space and Planetary Science,Earth and Planetary Sciences (miscellaneous),Atmospheric Science,Earth-Surface Processes,Geochemistry and Petrology,Soil Science,Water Science and Technology,Ecology,Aquatic Science,Forestry,Oceanography,Geophysics

Reference39 articles.

1. Improvement in the prediction of solar wind conditions using near-real time solar magnetic field updates;Arge;J. Geophys. Res.,2000

2. Terrestrial magnetosphere as a nonlinear resonator;Balikhin;Geophys. Res. Lett.,2001

3. Bartels , J. 1949 The standardized index, Ks, and the planetary index, Kp IATME Bull. 12b 97

4. Identification of nonlinear processes in the magnetospheric dynamics and forecasting of Dst index;Boaghe;J. Geophys. Lett.,2001

5. Real time Kp prediction from solar wind data using neural networks;Boberg;Phys. Chem. Earth,2000

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