SuperDARN Cross Polar Cap Potential: Correlation with the IMF and solar wind parameters

Details SuperDARN Cross Polar Cap Potential: Correlation with the IMF and solar wind parameters SuperDARN Cross Polar Cap Potential: Correlation with the IMF and solar wind parameters

Dec 2011

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2011agufmsm31a2077m&link_type=abstract

American Geophysical Union, Fall Meeting 2011, abstract #SM31A-2077

Physics

[2463] Ionosphere / Plasma Convection, [2712] Magnetospheric Physics / Electric Fields, [2776] Magnetospheric Physics / Polar Cap Phenomena, [2784] Magnetospheric Physics / Solar Wind/Magnetosphere Interactions

Scientific paper

Cross Polar Cap Potential (CPCP) is one of the core parameters provided by the SuperDARN network on a regular basis. The CPCP is estimated from individual convection maps built for every 1-2 min. We show that the SuperDARN CPCPs are highly "quantized" around values "prescribed" by the startup convection model and significantly depart from those values only if the number of convection vectors on a map exceeds 200-300. We show that with an increase of the plasma convection speed in the polar cap (as measured by the CADI ionosonde at Resolute Bay) the CPCP shows "saturation" effect for velocities above ~ 500 m/s. We relate the effect to progressively increased underestimation of the separation between the dawn and dusk convection foci in the process of CPCP derivation. We also show that, although the HF radar velocities are generally in agreement with CADI ExB measurements, significant mixed scatter on the dayside supplies low-velocity data (velocities well below the values given by the startup convection model) to the fitting procedure that might also affect the CPCP estimates. For densely enough convection maps and for weakly- or moderately-driven solar wind conditions, the SuperDARN data should be of satisfactory quality. By considering one full year of SuperDARN CPCP data (2000) and splitting them according to 3 seasons, we illustrate the CPCP almost linear dependence on the IMF Bz and By and the interplanetary electric field. Weak CPCP dependencies upon the solar wind pressure, Alfven Mach number and Alfven speed are found. The CPCP data show best correlation with coupling function introduced by Lyatsky et al. (2007) and they agree best with the recent theory by Kivelson and Ridley (2010), although discrepancies are significant.

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