The influence of autoionizing states on absorption cross sections for atomic oxygen

Multi-channel expressions, in the dipole approximation, are used to calculate absorption cross sections for the ejection of an outer subshell electron from atomic oxygen. Autoionization levels have been included and the resulting resonances in the cross section are characterized by the dispersion formula. Averaged absorption cross sections are presented for wavelengths 911-754 Å and 705-675 Å.     

Correlation of precipitable water vapour values over the united states with physical and chemical parameters. Part III: Annual and seasonal trends,a further approximation

Summary Deviations from a law previously established, which correlates the precipitable water vapour values in a vertical column of air over a measuring station with the latter's temperature and altitude, are reduced by multiple regression analysis, and implications are discussed.Contribution of the «Centro Nucleazione Aerosoli» of the National Research Council of Italy, Via Vettore 4 (Monte Sacro)Roma.     

On the preferential electrification of some dusts Part II: Release of gas from monodisperse powders of porous alumina,following adsorption of nitrous oxide

Summary Rates of release of nitrous oxide, from monodisperse fractions of activated alumina, are measured at room temperature and atmospheric pressure. The values obtained follow a simple first-order law with respect to the gas adsorbed, the relative parameters depending strongly on the size of the particulates examined (5 to 50 micron).     

Partial Carbon and Energy Budgets of the Bacteriosponge Verohgia fistularis (Porifera: Demospongiae) in Barbados

Abstract. The major in situ physiological activities of the common, tropical, West Atlantic demosponge Verongia (= Aplysina) fistularis were determined in order to relate the carbon and energy budgets of this species to the two contrasting patterns documented for bacteriosponges (sponges harbouring large symbiotic bacterial populations) and non-bacteriosponges (sponges lacking such large bacterial populations and considered "normal" sponges). Measurements of specimen dimensions and exhalant water velocity, and samples of exhalant water were obtained from undisturbed field specimens for estimation of rates of water transport, respiration and particulate organic carbon retention. Partial carbon and energy budgets were developed from calculated rates of particulate feeding, respiration and growth. The bacteriosponge, V. fistularis , is very similar to Verongula sp., another bacteriosponge, in terms of high respiration rate, 5.33% of available oxygen being removed during a single-pass water transit, and gross imbalance in particulate carbon and energy budgets, particulate sources supplying only 14% of respiration and growth requirements. The nutrient resource spectrum of Verongia fistularis and other bacteriosponges appears to be overwhelmingly dominated by dissolved organic matter, and thus contrasts strikingly with the present knowledge of nutrition in the normal non-bacteriosponges.     

Data Assimilation Modeling of the Barotropic Tides in the Korea/Tsushima Strait

During 1999–2000, 13 bottom mounted acoustic Doppler current profilers (ADCPs) and 12 wave/tide gauges were deployed along two lines across the Korea/Tsushima Strait, providing long-term measurements of currents and bottom pressure. Tidally analyzed velocity and pressure data from the moorings are used in conjunction with other moored ADCPs, coastal tide gauge measurements, and altimeter measurements in a linear barotropic data assimilation model. The model fits the vertically averaged data to the linear shallow water equations in a least-squares sense by only adjusting the incoming gravity waves along the boundaries. Model predictions are made for the O₁, P₁, K₁, μ₂, N₂, M₂, S₂, and K₂ tides. An extensive analysis of the accuracy of the M₂ surface-height predictions suggests that for broad regions near the mooring lines and in the Jeju Strait the amplitude prediction errors are less than 0.5 cm. Elsewhere, the analysis suggests that errors range from 1 to 4 cm with the exception of small regions where the tides are not well determined by the dataset. The errors in the model predictions are primarily caused by bias error in the model’s physics, numerics, and/or parameterization as opposed to random errors in the observational data. In the model predictions, the highest ranges in sea level height occur for tidal constituents M₂, S₂, K₁, O₁, and N₂, with the highest magnitudes of tidal velocities occurring for M₂, K₁, S₂, and O₁. The tides exhibit a complex structure in which diurnal constituents have higher currents relative to their sea level height ranges than semi-diurnal constituents.