As our civilization becomes more dependent on space based technologies, we
become more vulnerable to conditions in space weather. Accurate space weath
er specification and forecasting require proper modeling which account for
the coupling between the sun, the magnetosphere, the thermosphere, the iono
sphere and the mesosphere. In spite of the tremendous advances that have be
en made in understanding the physics behind different space weather phenome
na, the ability to specify or predict space weather is limited due to the l
ack of continuous and extensive observations in these regions. Placing a co
nstellation of GPS receivers in low-Earth orbit, such as the Constellation
Observing System for Meteorology, Ionosphere, and Climate (COSMIC), provide
s an extremely powerful system for continuously and extensively measuring o
ne of these regions, the ionosphere. COSMIC, by use of GPS occultations, wi
ll make it possible to obtain continuous and global 3-dimensional images of
electron density, irregularities and TIDs in the ionosphere and plasmasphe
re. COSMIC would provide nearly 5600 globally distributed occultations per
day suitable for ionospheric sensing. Occultations can be processed individ
ually to obtain vertical profiles of electron density, with vertical resolu
tion of similar to 1km, or collectively by means of tomography or data assi
milation to obtain 3-D images of electron density or irregularity structure
. In this paper we describe the GPS observables for ionospheric sensing and
the occultation geometry. Our presentation evolves from discussing simple
to more complicated inversion techniques starting with the Abel inversion,
gradient-constrained Abel inversion, tomography, and finally data assimilat
ion. In each of these techniques, the accuracy is assessed either via exami
nation of real data from GPS/MET or via simulation. Brief discussions of me
asuring ionospheric irregularities and TIDs are given.