782 research outputs found

    The generation and propagation of planetary Rossby waves

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    Imperial Users onl

    Non-hydrostatic effects on mountain wave breaking in directional shear flows

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    Mountain waves excited by narrow 3D orography are investigated using idealized numerical simulations of atmospheric flows with directional wind shear. The stability of these waves is compared with the stability of hydrostatic mountain waves. The focus is on understanding how wave breaking is modified via gravity wave-critical level interaction, when non-hydrostatic (dispersive) effects arise. The influence of nonhydrostatic effects on wave breaking appears to be a function of the intensity of the background shear, increasing the stability of the flow (inhibiting wave breaking) for weak wind shear, but decreasing it instead (enhancing wave breaking) for stronger wind shear

    No Horns Allowed

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    Picture Book

    Tracking down the origin of NWP model uncertainty : coarse-graining studies

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    Ponencia presentada en: Workshop on representing model uncertainty and error in numerical weather and climate prediction celebrado del 20 al 24 de junio de 2011 en Reading, Inglaterra.Current implementations of the perturbed parametrization tendency method for representing uncertainty rely on ad hoc assumptions about its magnitude and its spatial and temporal correlation scales. Ideally one would use observational data to ascertain the statistical character of parametrization tendency errors and use the resulting probability distribution functions to devise and calibrate the perturbed tendency approach. The reality is that observations rarely have the coverage, representativity and accuracy to form a useful comparison with model data. A less satisfactory alternative is to use high resolution modelling to provide a ‘truth’ simulation and then compare this with an equivalent but lower resolution simulation. Tendency fields from both simulations are coarse-grained to a resolution compatible with the assumed horizontal correlation scale in the perturbed tendency method and the bias-corrected differences between them are used to quantify statistical uncertainty. Early results using the ECMWF IFS forecasts appear to show that the variance of the coarse-grained tendency differences is proportional to the tendency in the lower-resolution forecast. However the current perturbed parametrization tendency scheme at ECMWF assumes that the standard deviation of the perturbations is proportional to the tendency itself. Probability distribution functions of the high-resolution model tendency, sub-sampled by narrow ranges of the low-resolution model tendency, seem to be consistent with an underlying Poisson process

    The Conceptualization of Sisterhood Within the Collegiate Sorority: An Exploration

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    This article expands the work of Cohen, McCreary and Schutts (2017) by devising, testing and validating a scale that measures five distinct schema of sisterhood. The scale development process resulted in a 24-item measure made up of five correlated dimensions: shared social experiences, belonging, support and encouragement, accountability, and common purpose. The five-factor model was stable across multiple samples. The construct validity of the sisterhood scale, including convergent and discriminant validity was also demonstrated

    A linear model of gravity wave drag for hydrostatic sheared flow over elliptical mountains

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    An analytical model of orographic gravity wave drag due to sheared flow past elliptical mountains is developed. The model extends the domain of applicability of the well-known Phillips model to wind profiles that vary relatively slowly in the vertical, so that they may be treated using a WKB approximation. The model illustrates how linear processes associated with wind profile shear and curvature affect the drag force exerted by the airflow on mountains, and how it is crucial to extend the WKB approximation to second order in the small perturbation parameter for these effects to be taken into account. For the simplest wind profiles, the normalized drag depends only on the Richardson number, Ri, of the flow at the surface and on the aspect ratio, γ, of the mountain. For a linear wind profile, the drag decreases as Ri decreases, and this variation is faster when the wind is across the mountain than when it is along the mountain. For a wind that rotates with height maintaining its magnitude, the drag generally increases as Ri decreases, by an amount depending on γ and on the incidence angle. The results from WKB theory are compared with exact linear results and also with results from a non-hydrostatic nonlinear numerical model, showing in general encouraging agreement, down to values of Ri of order one

    Large-scale length and time scales for use with stochastic convective parameterization

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    Many numerical models for weather prediction and climate studies are run at resolutions that are too coarse to resolve convection explicitly, but too fine to justify the local equilibrium assumed by conventional convective parameterizations. The Plant-Craig (PC) stochastic convective parameterization scheme, developed in this paper, solves this problem by removing the assumption that a given grid-scale situation must always produce the same sub-grid-scale convective response. Instead, for each timestep and gridpoint, one of the many possible convective responses consistent with the large-scale situation is randomly selected. The scheme requires as input the large-scale state as opposed to the instantaneous grid-scale state, but must nonetheless be able to account for genuine variations in the largescale situation. Here we investigate the behaviour of the PC scheme in three-dimensional simulations of radiative-convective equilibrium, demonstrating in particular that the necessary space-time averaging required to produce a good representation of the input large-scale state is not in conflict with the requirement to capture large-scale variations. The resulting equilibrium profiles agree well with those obtained from established deterministic schemes, and with corresponding cloud-resolving model simulations. Unlike the conventional schemes the statistics for mass flux and rainfall variability from the PC scheme also agree well with relevant theory and vary appropriately with spatial scale. The scheme is further shown to adapt automatically to changes in grid length and in forcing strength

    Children's racial categorization in context

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    The ability to discriminate visually based on race emerges early in infancy: 3-month-olds can perceptually differentiate faces by race and 6-month-olds can perceptually categorize faces by race. Between ages 6 and 8 years, children can sort others into racial groups. But to what extent are these abilities influenced by context? In this article, we review studies on children's racial categorization and discuss how our conclusions are affected by how we ask the questions (i.e., our methods and stimuli), where we ask them (i.e., the diversity of the child's surrounding environment), and whom we ask (i.e., the diversity of the children we study). Taken together, we suggest that despite a developmental readiness to categorize others by race, the use of race as a psychologically salient basis for categorization is far from inevitable and is shaped largely by the experimental setting and the greater cultural context
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