The diurnal variation of ionospheric temperatures.
Diurnal variations of ionospheric ion/electron temperatures predicted assuming solar UV RADIATION heating, collisional cooling and heat transport by conduction
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Diurnal variations of ionospheric ion/electron temperatures predicted assuming solar UV RADIATION heating, collisional cooling and heat transport by conduction
Variational formula for antenna impedance in warm magnetoplasma, considering force and fluid-flux distribution
Determining sign of second variation in optimal control theory
Variational approximation for ground state of perturbed Schroedinger equation with single variable wave function
Liquid He 4 ground state studied by variation method, deriving radial distribution function
Semiannual wind variation in equatorial stratosphere analyzed for origin from rocket sounding data
Electron flux and energy spectrum measurements near polar cap investigated for diurnal intensity variations
Discontinuous integrands in calculus of variations formulations of trajectory optimization and maximum payload problems with discontinuous state variables
This report highlights the goals, program of activities and accomplishments for IUGG/IAG SSG 5-143. Progress has been made on all fronts; main accomplishments include: (1) three major campaigns to measure rapid Earth orientation variations; (2) improvements in measurements including the increase in the frequency of the archived atmospheric angular momentum and the calculations of atmospheric torque; and (3) the encouragement of cooperative multi-disciplinary studies and organization of several scientific meetings.
Recent tomographic views of mantle are used to estimate corresponding lateral variations in effective viscosity under the assumption that temperature fluctuations about spherically symmetric mean values are the sole source of shear wave velocity anomalies.
Thirteen years of satellite laser ranging measurements to LAGEOS (1980-1992) have been analyzed to investigate the variations of the Earth's gravity field.
In this paper, we use an aggregate of S-band 2.3 GHz (13 cm) spectral broadening observations conducted during solar minimum conditions by the Mariner 4, Pioneer 10, Mariner 10, Helios 1 & 2 and Viking spacecraft to infer the first measurements of the latitudinal variation of solar wind speed and mass flux in the acceleration region of the solar wind at 3-8 R(sub o).
The effect of random wave fields on passive tracer spatial variations is studied.
The geocenter variations reflect the global scale mass redistribution and the interaction between the solid Earth and the mass load.
Aerosol variations and trends over different land and ocean regions during 1980-2009 are analyzed with the Goddard Chemistry Aerosol Radiation and Transport (GOCART) model and observations from multiple satellite sensors and ground-based networks. Excluding time periods with large volcanic influences, the tendency of aerosol optical depth (AOD) and surface concentration over polluted land regions is consistent with the anthropogenic emission changes.The largest reduction occurs over Europe, and regions in North America and Russia also exhibit reductions. On the other hand, East Asia and South Asia show AOD increases, although relatively large amount of natural aerosols in Asia makes the total changes less directly connected to the pollutant emission trends. Over major dust source regions, model analysis indicates that the dust emissions over the Sahara and Sahel respond mainly to the near-surface wind speed, but over Central Asia they are largely influenced by ground wetness. The decreasing dust trend in the tropical North Atlantic is most closely associated with the decrease of Sahel dust emission and increase of precipitation over the tropical North Atlantic, likely driven by the sea surface temperature increase. Despite significant regional trends, the model-calculated global annual average AOD shows little changes over land and ocean in the past three decades, because opposite trends in different regions cancel each other in the global average. This highlights the need for regional-scale aerosol assessment, as the global average value conceals regional changes, and thus is not sufficient for assessing changes in aerosol loading.
Assimilation of surface geomagnetic observations and geodynamo models has advanced very quickly in recent years. However, compared to advanced data assimilation systems in meteorology, geomagnetic data assimilation (GDAS) is still in an early stage. Among many challenges ranging from data to models is the disparity between the short observation records and the long time scales of the core dynamics. To better utilize available observational information, we have made an effort in this study to directly assimilate the Gauss coefficients of both the core field and its secular variation (SV) obtained via global geomagnetic field modeling, aiming at understanding the dynamical responses of the core fluid to these additional observational constraints. Our studies show that the SV assimilation helps significantly to shorten the dynamo model spin-up process. The flow beneath the core-mantle boundary (CMB) responds significantly to the observed field and its SV. The strongest responses occur in the relatively small scale flow (of the degrees L is approx. 30 in spherical harmonic expansions). This part of the flow includes the axisymmetric toroidal flow (of order m = 0) and non-axisymmetric poloidal flow with m (is) greater than 5. These responses can be used to better understand the core flow and, in particular, to improve accuracies of predicting geomagnetic variability in future.
This work describes a detector for the loss of control condition of a commercial transport in flight. The detector has a belief state defined by the latent variable stochastic modeling of a conditional variational autoencoder (CVAE) constructed with bidirectional recurrent layers. In 2000, the Boeing Company and the NASA Langley Research Center jointly developed a quantitative set of metrics for defining loss-of-control (LOC) for a commercial transport. We use the thresholds for these quantitative metrics to define a condition vector for training the CVAE. First, we demonstrate through experimentation that reconstruction probability is an accurate indicator that the vehicle has shifted to an LOC state. Second, we introduce a technique for inferring that the vehicle is approaching a flight state change by measuring a shift in the sampling distributions of the CVAE latent space. The sampling distributions for flight observations that are approaching envelope limits are localized to external areas of the latent space. We provide an analysis of its applicability to flight data from NASA’s dynamically-scaled generic transport model (GTM) aircraft.
We present an overview of the seasonal, interhemisphereic, and interannual variations in the distribution of HNO3 in the lower stratosphere based on measurements of gas-phase HNO3 made by the UARS Microwave Limb Sounder (MLS) through six complete annual cycles in both hemispheres.