Abstract:The thermospheric temperatures measured by the Fabry-Perod interferometer on the OGO 6 satellite are found to be reasonably represented by the mass spectrometer/incoherent scatter 1986 (MSIS-86) empirical model except for two anomalies, one in the South Atlantic and the other near noon local time. These anomalies are likely due to measurement problems. The OGO 6 temperature data were not used in the generation of the MSIS models, so this is an independent comparison of measured and model temperatures. The meas… Show more
“…Neither altitude nor solar cycle variations are included in the model due to lack of data coverage, and it is only valid above about 220 km where the data coverage is best and viscosity reduces the wind variation with height. The HWM87 predictions for low and mid‐latitude winds are similar to previously published ground‐based measurements [ Hedin et al , 1988]. Recently, satisfactory agreement has been obtained between the HWM87 predictions and both ground‐based [ Miller et al , 1990; Biondi et al , 1990b; Oliver et al , 1990] and space‐based [ Burrage et al , 1990] wind measurements.…”
Section: Thermospheric Modelingsupporting
confidence: 80%
“… Hedin and Thuillier [1988] obtained very good agreement between MSIS‐86 predictions and optical Fabry‐Perot temperature data from the OGO‐6 satellite, which were not incorporated in the MSIS models. The measured temperatures were only 16K below the MSIS‐86 temperatures on average.…”
Section: Thermospheric Modelingmentioning
confidence: 85%
“…An empirical global model of thermospheric winds is also now available [ Hedin et al , 1988]. Known as HWM87 (horizontal wind model), it is analogous to the MSIS models, but is based only on wind data obtained from the AE‐E and DE‐2 satellites.…”
“…Neither altitude nor solar cycle variations are included in the model due to lack of data coverage, and it is only valid above about 220 km where the data coverage is best and viscosity reduces the wind variation with height. The HWM87 predictions for low and mid‐latitude winds are similar to previously published ground‐based measurements [ Hedin et al , 1988]. Recently, satisfactory agreement has been obtained between the HWM87 predictions and both ground‐based [ Miller et al , 1990; Biondi et al , 1990b; Oliver et al , 1990] and space‐based [ Burrage et al , 1990] wind measurements.…”
Section: Thermospheric Modelingsupporting
confidence: 80%
“… Hedin and Thuillier [1988] obtained very good agreement between MSIS‐86 predictions and optical Fabry‐Perot temperature data from the OGO‐6 satellite, which were not incorporated in the MSIS models. The measured temperatures were only 16K below the MSIS‐86 temperatures on average.…”
Section: Thermospheric Modelingmentioning
confidence: 85%
“…An empirical global model of thermospheric winds is also now available [ Hedin et al , 1988]. Known as HWM87 (horizontal wind model), it is analogous to the MSIS models, but is based only on wind data obtained from the AE‐E and DE‐2 satellites.…”
“…The accuracy of the neutral temperature calculated by MSIS also influences the results of the present study. Hedin and Thuillier [1988] have shown that MSIS-86 reproduced temperature data from the OGO 6 satellite to within about 100 K. Such temperature uncertainties were found to significantly affect the spectral fit of the 1 PG band but had a negligible impact on the fitted N I multiplet intensities. The electron impact cross sections for the N I multiplets and N 2 1 PG were obtained from laboratory studies.…”
“…This version has been extensively used for comparing model predictions with measurements; see [1], [6], [14] for instance. The MSIS model is based on extensive insitu data measurements from numerous rocket probes and satellites (OGO 6, San Marco 3, AEROS-A, AE-C, AE-D, AE-E, ESRO 4, and DE 2) as well as ground-based incoherent scatter radars (Millstone Hill, St. Santin, Arecibo, Jicamarca, and Malvern).…”
Abstract-Atmospheric models represent the state of the environment including interactions that occur in the atmosphere and are thus useful to predict future temperature distributions and concentration densities of important species. A prominent example of an atmospheric model, specialized for the thermosphere, is the MSIS-86 model developed at NASA. In this note, we describe transforming this computer program by means of the automatic differentiation tool ADIFOR to obtain a new computer program capable of evaluating the derivatives of the output of MSIS-86 with respect to its input. These sensitivities are quantified and compared with derivatives approximated by divided differencing, demonstrating the reliability of automatic differentiation.
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