Diurnal Variation of Height-Distributed Nitric Oxide Radiative Emission During November 2004 Superstorm

2018 ◽  
Vol 123 (8) ◽  
pp. 6727-6736 ◽  
Author(s):  
Tikemani Bag
Keyword(s):  
Nitric Oxide ◽  
Diurnal Variation ◽  
Radiative Emission

Nitric Oxide Abundance in the Martian Thermosphere and Its Diurnal Variation

2020 ◽  
Vol 47 (9) ◽  
Author(s):  
J. Cui ◽  
M.‐H. Fu ◽  
Z.‐P. Ren ◽  
H. Gu ◽  
J.‐H. Guo ◽  
...  
Keyword(s):  
Nitric Oxide ◽  
Diurnal Variation

Normal Adult Values, Diurnal Variation, and Repeatability of Nasal Nitric Oxide Measurement

1999 ◽  
Vol 13 (5) ◽  
pp. 401-405 ◽  
Author(s):  
James Bartley ◽  
Wendy Fergusson ◽  
Alison Moody ◽  
Athol U. Wells ◽  
J. Kolbe
Keyword(s):  
Nitric Oxide ◽  
Diurnal Variation ◽  
Normal Adult ◽  
Nasal Nitric Oxide

Measurement of nitric oxide from 7 to 32 km and its diurnal variation in the stratosphere

1985 ◽  
Vol 90 (D2) ◽  
pp. 3813 ◽  
Author(s):  
Y. Kondo ◽  
W. A. Matthews ◽  
A. Iwata ◽  
M. Takagi
Keyword(s):  
Nitric Oxide ◽  
Diurnal Variation

scholarly journals Domiciliary diurnal variation of exhaled nitric oxide fraction for asthma control

2013 ◽  
Vol 43 (2) ◽  
pp. 474-484 ◽  
Author(s):  
J. Saito ◽  
D. Gibeon ◽  
P. Macedo ◽  
A. Menzies-Gow ◽  
P. K. Bhavsar ◽  
...  
Keyword(s):  
Nitric Oxide ◽  
Diurnal Variation ◽  
Asthma Control ◽  
Exhaled Nitric Oxide

scholarly journals On the relative roles of dynamics and chemistry governing the abundance and diurnal variation of low latitude thermospheric nitric oxide

2018 ◽  
Author(s):  
David E. Siskind ◽  
McArthur Jones Jr. ◽  
Douglas P. Drob ◽  
John P. McCormack ◽  
Mark E. Hervig ◽  
...  
Keyword(s):  
Nitric Oxide ◽  
Diurnal Variation ◽  
Empirical Model ◽  
General Circulation ◽  
Lower Boundary ◽  
Circulation Model ◽  
Potential Conflict ◽  
Solar Occultation ◽  
Free Running ◽  
Data Discrepancy

Abstract. We use data from two NASA satellites, the Thermosphere Ionosphere Energetics and Dynamics (TIMED) and the Aeronomy of Ice in the Mesosphere (AIM) satellites in conjunction with model simulations from the Thermosphere-Ionosphere-Mesosphere-Electrodynamics General Circulation Model (TIME-GCM) to elucidate the key dynamical and chemical factors governing the abundance and diurnal variation of nitric oxide (NO) at near solar minimum conditions and low latitudes. This analysis was enabled by the recent orbital precession of the AIM satellite which caused the solar occultation pattern measured by the Solar Occultation for Ice Experiment (SOFIE) to migrate down to low and mid latitudes for specific periods of time. We use a month of NO data collected in January 2017 to compare with two versions of the TIME-GCM, one driven solely by climatological tides and analysis-derived planetary waves at the lower boundary and free running at all other altitudes, while the other is constrained by a high-altitude analysis from the Navy Global Environmental Model (NAVGEM) up to the mesopause. We also compare SOFIE data with a NO climatology from the Nitric Oxide Empirical Model (NOEM). Both SOFIE and NOEM yield peak NO abundances of around 4 × 107 cm−3; however, the SOFIE profile peaks about 6–8 km lower than NOEM. We show that this difference is likely a local time effect; SOFIE being a dawn measurement and NOEM representing late morning/near noon. The constrained version of TIME-GCM exhibits a low altitude dawn peak while the model that is forced solely at the lower boundary and free running above does not. We attribute this difference due to a phase change in the semi-diurnal tide in the NAVGEM-constrained model causing descent of high NO mixing ratio air near dawn. This phase difference between the two models arises due to differences in the mesospheric zonal mean zonal winds. Regarding the absolute NO abundance, all versions of the TIME-GCM overestimate this. Tuning the model to yield calculated atomic oxygen in agreement with TIMED data helps, but is insufficient. Further, the TIME-GCM underestimates the electron density [e-] as compared with the International Reference Ionosphere empirical model. This suggests a potential conflict with the requirements of NO modeling and [e-] modeling since one solution typically used to increase model [e-] is to increase the solar soft X ray flux which would, in this case, worsen the NO model/data discrepancy.

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