Assimilation ionosphere model: Development and testing with combined ionospheric campaign caribbean measurements

Citation
Jj. Sojka et al., Assimilation ionosphere model: Development and testing with combined ionospheric campaign caribbean measurements, RADIO SCI, 36(2), 2001, pp. 247-259
Citations number
16
Categorie Soggetti
Earth Sciences","Eletrical & Eletronics Engineeing
Journal title
RADIO SCIENCE
ISSN journal
00486604 → ACNP
Volume
36
Issue
2
Year of publication
2001
Pages
247 - 259
Database
ISI
SICI code
0048-6604(200103/04)36:2<247:AIMDAT>2.0.ZU;2-Q
Abstract
Assimilation Ionosphere Model (AIM) is a physics-based, global, ionospheric specification model that is currently under development. It assimilates a diverse set of real-time (or near-real-time) measurements, such as ionogram s, GPS slant total electron content (TEC), and in situ plasma measurements. This study focuses on a middle latitude ionosonde assimilation capability in both local and regional forms. The models described are capable of using the f(0)F(2) and h(m)F(2) from ionograms to generate either a local or a r egional distribution of the induced plasma drift. This induced drift is usu ally caused by the meridional neutral wind. Results from a local model (AIM 1.03L) and a regional model (AIM1.03R) are presented and compared with the international reference ionosphere (IRI) climatological predictions as well as GPS slant TEC measurements. Results from year-long studies during solar maximum show that the accuracy of the AIM1.03L model is about a factor of 2 better than that of IRI. An initial month-long regional study is also pre sented, and the results are almost as good. A study is also carried out usi ng observations taken during the Combined Ionospheric Campaign (CIC) held i n November, 1997, in the Caribbean. The digisonde located at Ramey Solar Ob servatory is used to drive the AIM1.03L model, and the predicted GPS slant TECs are compared to those observed by a GPS receiver located at St. Croix. This study confirms that this first step in preparing a weather-sensitive ionospheric representation is superior to a climatological representation. This sets the stage for the development of full assimilation of GPS TEC, in situ density measurements, etc., and it is anticipated that the AIM1.03LR ionospheric representation will provide an accurate ionospheric specificati on.