Other
Scientific paper
May 2005
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2005agusmsh51b..09p&link_type=abstract
American Geophysical Union, Spring Meeting 2005, abstract #SH51B-09
Other
2499 General Or Miscellaneous, 2799 General Or Miscellaneous, 9810 New Fields (Not Classifiable Under Other Headings), 9820 Techniques Applicable In Three Or More Fields
Scientific paper
The poorly understood complex dynamics of ionospheric irregularities and structures such as the auroral oval are among the primary limitations for empirical ionosphere models. The accuracy in the prediction of ionospheric effects is therefore limited, and it leads to a wide variety of problems regarding scientific studies and applications, including communication, remote sensing, surveillance, navigation and climate change research. However, a variety of currently available space geodetic sensors, have substantially improved the empirical modeling of ionospheric Total Electron Content (TEC) from various ground- and space-based observations. These include the GPS derived Global Ionosphere Maps (GIMs) generated by the mapping of the slant radar signals (L-band) from satellite (20,000 km) to the global ground receiver station network at each receivers' zenith direction, LEOs (400 km-1300 km, in the F and H ionosphere regions) carrying GPS receivers, and CHAMP (450 km) magnetometer observations. In this paper we compare the measured TEC at high latitudes to the spatial and temporal variations in the polar external field and to disturbances in surface magnetic observatories. In particular, the TEC will be compared to the Polar Cap Index (PCI), an index generally accepted in recent years as a good indicator of high latitude magnetic activity and related ionospheric dynamics. Moreover, the selection of satellite orbits for magnetic anomaly analyses is usually based on global ground planetary magnetic indices, and these indices show poor correlation with local disturbances at satellite altitude for polar regions. Comparison of magnetic indices and observatory data to the spatial and temporal variation in polar external fields extracted from orbital measurements, will provide improved constraints on satellite data selection.
Gaya-Pique Luis R.
Ge Shuzhi Sam
Kim Hungsoo
Potts Laramie V.
von Frese Ralph R.
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