Solar activity variation of nitric oxide in the E-region and its implications

Chakrabarty, P.; Chakrabarty, D.; Björn, L. G.

doi:10.1016/0021-9169(78)90110-1

Cited by 16 publications

(3 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The discrepancies between the present model and the other two are due to the fact that both Chakrabarty et a1 (1978) and Roble et a1 (1978) suppose thermal equilibrium between electrons and neutrals when they calculate the recombination coefficient rates, while in situ measurements of T, show that this temperature is twice the neutral gas temperature at low solar activity. These two theoretical models differ in the n ( N 0 ) profiles used: while Roble eta/( 1978) solve a steady-state continuity equation for n(NO), Chakrabarty et al(1978) fit the n ( N 0 ) profile in order that the electron number density may agree with the observations. In the present model as discussed earlier, it is not necessary to propose an n ( N 0 ) profile since it is determined from the measured ne profile (see equation (10)).…”

Section: Application Of the Modelmentioning

confidence: 99%

On a generalization of stable distributions

Klebanov¹

1995

Russ. Math. Surv.

View full text Add to dashboard Cite

Rocket observations of ion number densities in the E-region show that the relative concentration of its major constituents, n(NO')in(Oi), varies drastically with solar activity and depends on the electron and the nitric oxide concentrations. In this paper, a simple steady-state model is presented in which, by means of the electric quasi-neutrality condition, the continuity equations of both ions have been uncoupled and a one-to-one relationship between the electron and nitric oxide concentrations has been obtained. This model is applied to the calculation of the relative ion number densities and the nitric oxide concentration at middle latitudes, near noon under quiet geomagnetic and low solar activity conditions and a good agreement with the observation is found.

show abstract

Section: Application Of the Modelmentioning

confidence: 99%

On a generalization of stable distributions

Klebanov¹

1995

Russ. Math. Surv.

View full text Add to dashboard Cite

show abstract

“…while Roble eta/( 1978) solve a steady-state continuity equation for n(NO), Chakrabarty et al(1978) fit the n ( N 0 ) profile in order that the electron number density may agree with the observations. In the present model as discussed earlier, it is not necessary to propose an n ( N 0 ) profile since it is determined from the measured ne profile (see equation ( 10)).…”

Section: Application Of the Modelmentioning

confidence: 99%

Daytime E-region ion and nitric oxide densities

Azpiazu

Duhau

1982

J. Phys. D: Appl. Phys.

View full text Add to dashboard Cite

Rocket observations of ion number densities in the E-region show that the relative concentration of its major constituents, n(NO+)/n(O2+), varies drastically with solar activity and depends on the electron and the nitric oxide concentrations. A simple steady-state model is presented in which, by means of the electric quasi-neutrality condition, the continuity equations of both ions have been uncoupled and a one-to-one relationship between the electron and nitric oxide concentrations has been obtained. This model is applied to the calculation of the relative ion number densities and the nitric oxide concentration at middle latitudes, near noon under quiet geomagnetic and low solar activity conditions and a good agreement with the observation is found.

show abstract

“…In order to investigate the solar variation of thermospheric NO, the observational data are not enough since the satellite observations were done only during a minimum phase of solar activity and rocket observations are sparse. However, the variability of a factor of 3 to 4 has been suggested from the change in the composition of the Eregion (CHAKRABARTY et al, 1978) as well as the gamma band airglow observation (OGAWA et al,1984). IWAGAMI and OGAWA (1987) Figure 1 represents the results of data discrimination between the gamma band and background emissions.…”

Section: Introductionmentioning

confidence: 99%