Dynamical heating of the upper atmosphere

Dynamical heating rates of ionosphere - energy of upward propagating atmospheric gravity wave

Two possible mechanisms for relating terrestrial atmospheric circulation to solar disturbances

During geomagnetic storms, which are initiated by solar disturbances, two cells of circulatory motion are established in the polar ionosphere. The torques that contribute to either cell might be as great as 10 to the 24 power dyne cm, and may persist for times of the order 100,000 sec. The angular momentum contributed to a cell may be as great as 10 to the 29th power g sq cm/sec. Angular momentum is discussed

Atmospheric gravity waves- a new toy for the wave theorist

Atmospheric gravity waves - anistropy of propagation and anistropies and reflection processes arising in practice related to ionospheric and plasma propagatio

Local Structure and It's Effect on The Ferromagnetic Properties of La0.5_{0.5}Sr0.5_{0.5}CoO3_3 thin films}

We have used high-resolution Extended X-ray Absorption Fine-Structure and diffraction techniques to measure the local structure of strained La$_{0.5}$Sr$_{0.5}$CoO$_3$ films under compression and tension. The lattice mismatch strain in these compounds affects both the bond lengths and the bond angles, though the larger effect on the bandwidth is due to the bond length changes. The popular double exchange model for ferromagnetism in these compounds provides a correct qualitative description of the changes in Curie temperature $T_C$, but quantitatively underestimates the changes. A microscopic model for ferromagnetism that provides a much stronger dependence on the structural distortions is needed.Comment: 4 pages, 4 figure

Flux pinning and phase separation in oxygen rich La2-xSrxCuO4+y system

We have studied the magnetic characteristics of a series of super-oxygenated La2-xSrxCuO4+y samples. As shown in previous work, these samples spontaneously phase separate into an oxygen rich superconducting phase with a TC near 40 K and an oxygen poor magnetic phase that also orders near 40 K. All samples studied are highly magnetically reversible even to low temperatures. Although the internal magnetic regions of these samples might be expected to act as pinning sites, our present study shows that they do not favor flux pinning. Flux pinning requires a matching condition between the defect and the superconducting coherence length. Thus, our results imply that the magnetic regions are too large to act as pinning centers. This also implies that the much greater flux pinning in typical La2-xSrxCuO4 materials is the result of nanoscale inhomogeneities that grow to become the large magnetic regions in the super-oxygenated materials. The superconducting regions of the phase separated materials are in that sense cleaner and more homogenous than in the typical cuprate superconductor.Comment: 4 figures 8 pages Submitted to PR

Planning farm property transfers within families in Iowa

One of every two Iowa farm owners has received family assistance in acquiring ownership of their farm resources. These intrafamily farm transfers appear to be increasing throughout the state. This trend is in keeping with farm transfer experiences in older parts of this country as well as in the western European countries from which our farm property system evolved. Sooner or later all farm-owning parents and their children must face the problems of transferring the home farm within the family. These problems arise out of the inevitable processes of life and death and the continuity of rights in farm property. Because of the inevitability of death, farm-owning parents and their children are faced with the problem of bridging the gap between generations in providing for the transfer of farm property within the family. Fortunately, an increasing number of farm families are becoming concerned with intrafamily farm transfer problems and are searching for satisfactory ways of planning for the transfer of their farm property. There are several reasons for this increased interest. First, more Iowa farmers than ever before own their farms. Around 62 percent of Iowa\u27s farmers own part or all of the land they operate. Second, Iowa farm owners have larger equities in their farms than ever before. Farm owners\u27 equities in their land are around 89 percent of the value of their land and buildings. Third, more farm estates are being subjected to higher estate, gift and inheritance taxes, primarily as a result of increased farm values. Fourth, progressive income taxes encourage farm owners to consider the tax-saving possibilities of distributing their property within their families. Fifth, today\u27s parents are interested in avoiding some of the errors made by their parents in transferring farm property within their family. Sixth, children are anxious to obtain reasonable assurance of what to expect in the way of family ’ financial resources in planning for their future in farming

Optimization Of Fuzzy Evapotranspiration Model Through Neural Training With Input–Output Examples

In a previous study, we demonstrated that fuzzy evapotranspiration (ET) models can achieve accurate estimation of daily ET comparable to the FAO Penman–Monteith equation, and showed the advantages of the fuzzy approach over other methods. The estimation accuracy of the fuzzy models, however, depended on the shape of the membership functions and the control rules built by trial–and–error methods. This paper shows how the trial and error drawback is eliminated with the application of a fuzzy–neural system, which combines the advantages of fuzzy logic (FL) and artificial neural networks (ANN). The strategy consisted of fusing the FL and ANN on a conceptual and structural basis. The neural component provided supervised learning capabilities for optimizing the membership functions and extracting fuzzy rules from a set of input–output examples selected to cover the data hyperspace of the sites evaluated. The model input parameters were solar irradiance, relative humidity, wind speed, and air temperature difference. The optimized model was applied to estimate reference ET using independent climatic data from the sites, and the estimates were compared with direct ET measurements from grass–covered lysimeters and estimations with the FAO Penman–Monteith equation. The model–estimated ET vs. lysimeter–measured ET gave a coefficient of determination (r2) value of 0.88 and a standard error of the estimate (Syx) of 0.48 mm d–1. For the same set of independent data, the FAO Penman–Monteith–estimated ET vs. lysimeter–measured ET gave an r2 value of 0.85 and an Syx value of 0.56 mm d–1. These results show that the optimized fuzzy–neural–model is reasonably accurate, and is comparable to the FAO Penman–Monteith equation. This approach can provide an easy and efficient means of tuning fuzzy ET models

Improved estimates of percolation and anisotropic permeability from 3-D x-ray microtomography using stochastic analyses and visualization

X-ray microtomography (micro-CT) with micron resolution enables new ways of characterizing microstructures and opens pathways for forward calculations of multiscale rock properties. A quantitative characterization of the microstructure is the first step in this challenge. We developed a new approach to extract scale-dependent characteristics of porosity, percolation, and anisotropic permeability from 3-D microstructural models of rocks. The Hoshen-Kopelman algorithm of percolation theory is employed for a standard percolation analysis. The anisotropy of permeability is calculated by means of the star volume\ud distribution approach. The local porosity distribution and local percolation probability are obtained by using the local porosity theory. Additionally, the local anisotropy distribution is defined and analyzed through two empirical probability density functions, the isotropy index and the elongation index. For such a high-resolution data set, the typical data sizes of the CT images are on the order of gigabytes to tens of gigabytes; thus an extremely large number of calculations are required. To resolve this large memory problem parallelization in OpenMP was used to optimally harness the shared memory infrastructure on cache coherent Non-Uniform Memory Access architecture machines such as the iVEC SGI Altix 3700Bx2 Supercomputer. We see adequate visualization of the results as an important element in this first pioneering study