Remote sensing of O, N2, and NO in the mesosphere and lower thermosphere using spatial heterodyne spectroscopy

Details Remote sensing of O, N2, and NO in the mesosphere and lower thermosphere using spatial heterodyne spectroscopy Remote sensing of O, N2, and NO in the mesosphere and lower thermosphere using spatial heterodyne spectroscopy

Dec 2004

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2004agufmsa21a0342s&link_type=abstract

American Geophysical Union, Fall Meeting 2004, abstract #SA21A-0342

Physics

0310 Airglow And Aurora, 0355 Thermosphere: Composition And Chemistry, 0394 Instruments And Techniques

Scientific paper

The composition and temperature of the mesosphere and lower thermosphere can be obtained by inverting limb profiles of middle UV airglow emissions near 214~nm and 247~nm. At high altitudes (above 200 km), emissions related to O and N2 are prominent. Below 90~km, emissions from NO dominate the scene. In between these regions a merged spectrum of emissions also represents an interaction point for physical processes between the mesosphere and thermosphere. However, the overlap of these spectral features creates a hurdle to obtaining the high fidelity data needed to retrieve atmospheric parameters. Uncertainties in emission sources are introduced when spectral features cannot be distinguished and modeling is required to fit the data. Spatial heterodyne spectroscopy (SHS) has the capability of obtaining high spectral resolution (0.01~nm) measurements of these prominent middle UV emissions from the mesosphere and lower thermosphere. This spectral resolution would eliminate much of the uncertainty inherent in fitting the emission feature, thereby improving the accuracy of the emission profile. We present simulations from an SHS instrument being investigated for development at the Naval Research Laboratory to make measurements at 214~nm and 247~nm. Instrument requirements are derived from existing lower resolution spectra and profiles, the inversion of simulated data, and the desired accuracy of the retrieved parameters. Our results show the enticing capability for remote sensing of this under-explored region using SHS.

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