Catalogue Search | MBRL
Are you sure you want to remove the book from the shelf?
{{itemTitle}}
91
result(s) for
"Cullen, Mike"
Sort by:
X-Men gold. Vol. 3, Mojo worldwide
MOJOVERSE HAS INVADED! And it's going to take the combined might of two X-MEN teams to fight back! When sections of Manhattan are attacked byMojo and his terrible minions it's up to X-Men Gold to save the day...alongside the young heroes of X-Men Blue, of course! But when threats from their past are thrown at them, how will these teams react? As Sentinels and Brood and bad memories attack at every opportunity, Will Kitty and Jean and their teams be able to save Manhattan?
BOOK
UNIFIED MODELING AND PREDICTION OF WEATHER AND CLIMATE
In recent years there has been a growing appreciation of the potential advantages of using a seamless approach to weather and climate prediction. However, what exactly should this mean in practice? To help address this question, we document some of the experiences already gathered over 25 years of developing and using the Met Office Unified Model (MetUM) for both weather and climate prediction. Overall, taking a unified approach has given enormous benefits, both scientific and in terms of efficiency, but we also detail some of the challenges it has presented and the approaches taken to overcome them.
Journal Article
X-Men Blue. Vol. 4, Cry havok
With the original five X-Men lost in space, Emma Frost, Havok, Bastion and Miss Sinister hatch their devious plans -- and unleash Project: Mothervine! Meanwhile, Jimmy Hudson and Bloodstorm feel the wrath of Polaris -- once again a victim of the body-stealing Malice! And with his mutant charges missing, Magneto mobilizes against his enemies. His first target: Sebastian Shaw! But Magneto will soon come face-to-face with Havok -- with the fate of mutantkind hanging in the balance! The original five's absence means a new team of X-Men must take their place. But as the lethal Marauders strike, Magneto is forced to make a terrible decision -- one that leads him ever closer to the darkness he has tried to put behind him! And some of the newest new X-Men might not make it out alive!
BOOK
The Use of Semigeostrophic Theory to Diagnose the Behaviour of an Atmospheric GCM
A diagnostic method is presented for analysing the large-scale behaviour of the Met Office Unified Model, which is a comprehensive atmospheric model used for weather and climate prediction. Outside the boundary layer, on scales larger than the radius of deformation, semi-geostrophic theory will give an accurate approximation to the model evolution. In particular, the ageostrophic circulation required to maintain geostrophic and hydrostatic balance against prescribed forcing and a rate of change of the geostrophic pressure can be calculated. In the tropics, the balance condition degenerates to the weak temperature gradient approximation. Within the boundary layer, the semi-geotriptic approximation has to be used because friction and rotation are equally important. Assuming the calculated pressure tendency and ageotriptic circulation match the observed model behaviour, the influence of the large-scale state and the nature of the forcing on the model response can be deduced in a straightforward way. The capabilities of the diagnostic are illustrated by comparing predictions of the ageotriptic circulation from the theory and the model. It is then used to show that the effects of latent heat release can be included by modifying the static stability, and to show the effect of an idealised tropical heat source on the subtropical jet. Finally, the response of the ageotriptic flow to boundary layer heating in the tropics is demonstrated. These illustrations show that the model behaviour on large scales conforms with theoretical expectations, so that the results of the diagnostic can be used to aid the development of further improvements to the model, in particular investigating systematic errors and understanding the large-scale atmospheric response to forcing.
Journal Article
Venom : the complete collection
One of comics' wildest writers takes on the symbiotic super hero! Flash Thompson, the Secret Avenger called Agent Venom, faces Daimon Hellstrom and the Monsters of Evil in a battle to save his soul! But when Venom's psychopathic off spring targets the Microverse, Flash and the new Scarlet Spider must put their rivalries aside to handle the madness of Carnage! Venom says farewell to New York and heads to Philadelphia - but Toxin follows soon after. And the pair of lethal symbiotes may unwittingly unleash something even more deadly! Can Flash battle side-by-side with the original Venom, Eddie Brock, to save the City of Brotherly Love? Plus underworld boss Lord Ogre! The killer called Crossbones! And...a symbiotic sidekick?! Cullen Bunn's explosive Venom run is collected in full!
Book
Processes Controlling Tropical Tropopause Temperature and Stratospheric Water Vapor in Climate Models
A warm bias in tropical tropopause temperature is found in the Met Office Unified Model (MetUM), in common with most models from phase 5 of CMIP (CMIP5). Key dynamical, microphysical, and radiative processes influencing the tropical tropopause temperature and lower-stratospheric water vapor concentrations in climate models are investigated using the MetUM. A series of sensitivity experiments are run to separate the effects of vertical advection, ice optical and microphysical properties, convection, cirrus clouds, and atmospheric composition on simulated tropopause temperature and lower-stratospheric water vapor concentrations in the tropics. The numerical accuracy of the vertical advection, determined in the MetUM by the choice of interpolation and conservation schemes used, is found to be particularly important. Microphysical and radiative processes are found to influence stratospheric water vapor both through modifying the tropical tropopause temperature and through modifying upper-tropospheric water vapor concentrations, allowing more water vapor to be advected into the stratosphere. The representation of any of the processes discussed can act to significantly reduce biases in tropical tropopause temperature and stratospheric water vapor in a physical way, thereby improving climate simulations.
Journal Article
SCIENTIFIC CHALLENGES OF CONVECTIVE-SCALE NUMERICAL WEATHER PREDICTION
After extensive efforts over the course of a decade, convective-scale weather forecasts with horizontal grid spacings of 1–5 km are now operational at national weather services around the world, accompanied by ensemble prediction systems (EPSs). However, though already operational, the capacity of forecasts for this scale is still to be fully exploited by overcoming the fundamental difficulty in prediction: the fully three-dimensional and turbulent nature of the atmosphere. The prediction of this scale is totally different from that of the synoptic scale (10³ km), with slowly evolving semigeostrophic dynamics and relatively long predictability on the order of a few days.
Even theoretically, very little is understood about the convective scale compared to our extensive knowledge of the synoptic-scale weather regime as a partial differential equation system, as well as in terms of the fluid mechanics, predictability, uncertainties, and stochasticity. Furthermore, there is a requirement for a drastic modification of data assimilation methodologies, physics (e.g., microphysics), and parameterizations, as well as the numerics for use at the convective scale. We need to focus on more fundamental theoretical issues—the Liouville principle and Bayesian probability for probabilistic forecasts—and more fundamental turbulence research to provide robust numerics for the full variety of turbulent flows.
The present essay reviews those basic theoretical challenges as comprehensibly as possible. The breadth of the problems that we face is a challenge in itself: an attempt to reduce these into a single critical agenda should be avoided.
Journal Article
Physics–Dynamics Coupling in Weather, Climate, and Earth System Models: Challenges and Recent Progress
Numerical weather, climate, or Earth system models involve the coupling of components. At a broad level, these components can be classified as the resolved fluid dynamics, unresolved fluid dynamical aspects (i.e., those represented by physical parameterizations such as subgrid-scale mixing), and nonfluid dynamical aspects such as radiation and microphysical processes. Typically, each component is developed, at least initially, independently. Once development is mature, the components are coupled to deliver a model of the required complexity. The implementation of the coupling can have a significant impact on the model. As the error associated with each component decreases, the errors introduced by the coupling will eventually dominate. Hence, any improvement in one of the components is unlikely to improve the performance of the overall system. The challenges associated with combining the components to create a coherent model are here termed physics–dynamics coupling. The issue goes beyond the coupling between the parameterizations and the resolved fluid dynamics. This paper highlights recent progress and some of the current challenges. It focuses on three objectives: to illustrate the phenomenology of the coupling problem with references to examples in the literature, to show how the problem can be analyzed, and to create awareness of the issue across the disciplines and specializations. The topics addressed are different ways of advancing full models in time, approaches to understanding the role of the coupling and evaluation of approaches, coupling ocean and atmosphere models, thermodynamic compatibility between model components, and emerging issues such as those that arise as model resolutions increase and/or models use variable resolutions.
Journal Article
GPR124, an orphan G protein-coupled receptor, is required for CNS-specific vascularization and establishment of the blood-brain barrier
Every organ in the body requires blood vessels for efficient delivery of oxygen and nutrients, but independent vascular beds are highly specialized to meet the individual needs of specific organs. The vasculature of the brain is tightly sealed, with blood-brain barrier (BBB) properties developing coincident with neural vascularization. G protein-coupled receptor 124 (GPR124) (tumor endothelial marker 5, TEM5), an orphan member of the adhesion family of G protein-coupled receptors, was previously identified on the basis of its overexpression in tumor vasculature. Here, we show that global deletion or endothelial-specific deletion of GPR124 in mice results in embryonic lethality associated with abnormal angiogenesis of the forebrain and spinal cord. Expression of GPR124 was found to be required for invasion and migration of blood vessels into neuroepithelium, establishment of BBB properties, and expansion of the cerebral cortex. Thus, GPR124 is an important regulator of neurovasculature development and a potential drug target for cerebrovascular diseases.
Journal Article
Ensemble Data Assimilation Using a Unified Representation of Model Error
A natural way to set up an ensemble forecasting system is to use a model with additional stochastic forcing representing the model error and to derive the initial uncertainty by using an ensemble of analyses generated with this model. Current operational practice has tended to separate the problems of generating initial uncertainty and forecast uncertainty. Thus, in ensemble forecasts, it is normal to use physically based stochastic forcing terms to represent model errors, while in generating analysis uncertainties, artificial inflation methods are used to ensure that the analysis spread is sufficient given the observations. In this paper a more unified approach is tested that uses the same stochastic forcing in the analyses and forecasts and estimates the model error forcing from data assimilation diagnostics. This is shown to be successful if there are sufficient observations. Ensembles used in data assimilation have to be reliable in a broader sense than the usual forecast verification methods; in particular, they need to have the correct covariance structure, which is demonstrated.
Journal Article