Computer Science – Performance
Scientific paper
Dec 2001
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2001agufmsa31a..02p&link_type=abstract
American Geophysical Union, Fall Meeting 2001, abstract #SA31A-02
Computer Science
Performance
0350 Pressure, Density, And Temperature, 0355 Thermosphere: Composition And Chemistry, 2481 Topside Ionosphere, 7853 Spacecraft/Atmosphere Interactions
Scientific paper
This paper briefly reviews the history of empirical atmospheric models and describes the new NRLMSISE-00 model of atmospheric composition, temperature, and total mass density. The NRLMSIS database underlying the new model now covers total mass density from satellite drag (Jacchia, Barlier) and from accelerometers (F. Marcos, private communication). Based on the Jacchia data, NRLMSISE-00 includes a new component, "anomalous oxygen," which allows for appreciable ionized or hot atomic oxygen contributions to the total mass density at high altitudes and which can be important for drag estimation. We review past work on the role of ionized and hot atomic oxygen in the thermosphere and the implications for drag on objects in low Earth orbit. We then investigate these contributions to drag through analysis of the Jacchia data set and through comparisons with the operational Jacchia-70 model and the MSISE-90 and NRLMSISE-00 scientific models. To broaden the perspective on the importance of these more exotic species and on the performance of present day models, our study covers both seasonal behavior and dependence on the F10.7 proxy for the solar extreme ultraviolet flux. We also provide a standard statistical comparison of the Jacchia data to the NRLMSISE-00, MSISE-90, and Jacchia-70 models, as a function of altitude and geomagnetic activity. While useful for simple error analysis, standard statistical measures can mask significant differences among models. For the combination of high latitudes and altitudes, under which the hot or ionized oxygen species can be important, NRLMSISE-00 achieves an improvement over MSISE-90 and Jacchia-70, incorporating advantages of each. (Sponsor: Office of Naval Research)
Hedin Alan E.
Picone Michael J.
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