Lidar observations and modeling of cold air outbreaks during MASEX and GALE

As part of MASEX and GALE a number of research flights were carried out over the Marine Boundary Layer (MBL) during periods when extremely cold and dry continental air was flowing out over the warm coastal waters at the east coast of the U.S. Such periods, which are named cold air outbreaks are characterized by massive warming and moistening of the MBL resulting in rapid entrainment conditions. As the MBL deepens as a function of fetch over the ocean, clouds develop. The line of cloud formation typically follows the coast line closely as has been observed many times from satellite imagery. The backscatter data from the NASA Goddard airborne lidar, which was used to measure the depth of the MBL in great detail, is ideally suited to verify parametrized models of boundary layer growth rate. The data indicates that the deepening MBL gradually develops clouds at its top. Those clouds form an integral part of the MBL and exercise an important influence on the energy cycle within the MBL. It is suggested that the rapid entrainment observed during overcast conditions represent an increase in efficiency of conversion of available turbulence kinetic energy into entrainment energy

Convective structure of the planetary boundary layer of the ocean during gale

The structure of the Planetary Boundary Layer (PBL) was measured, using an airborne lidar, over the Atlantic Ocean during several intensive observation periods of the Genesis of Atlantic Lows Experiment (GALE). Primary emphasis is on the understanding of the convective structure within the PBL during cold air outbreaks. Cold outbreaks generally occur in between the development of coastal storms; and behind a cold front sweeping down from Canada out across the Atlantic. As the cold dry air moves over the relatively warm ocean, it is heated and moistened. The transfer of latent and sensible heat during these events accounts for most of the heat transfer between the ocean and atmosphere during winter. Moistening of the PBL during these eventsis believed to be an important factor in determining the strength of development of the storm system which follows. In general, the more PBL moisture available as latent heat the higher the probability the storm will intensify. The major mechanism for vertical mixing of heat and mositure within the PBL is cellular convection. Knowlede of the organization and structure of the convection is important for understanding the process

Genesis of Atlantic Lows Experiment NASA Electra Boundary Layer Flights Data Report

The objective of this research was to obtain high resolution measurements of the height of the Marine Atmospheric Boundary Layer (MABL) during cold air outbreaks using an Airborne Lidar System. The research was coordinated with other investigators participating in the Genesis of Atlantic Lows Experiment (GALE). An objective computerized scheme was developed to obtain the Boundary Layer Height from the Lidar Data. The algorithm was used on each of the four flight days producing a high resolution data set of the MABL height over the GALE experiment area. Plots of the retrieved MABL height as well as tabular data summaries are presented

Identification and evaluation of linear damping models in beam vibrations

Sensitive method, identifying effective damping mechanisms, involves comparing experimentally determined ratio of first to second mode magnification factors related to common point on beam. Cluster size has little effect on frequencies of elements, magnification factor decreases with cluster size, and viscous and stress damping are dominant damping mechanisms

Storende elementen in beeld : de impact van menselijke artefacten op de landschapsbeleving nader onderzocht

Om beleidsopties in beeld te brengen, is de invloed onderzocht van de vormgeving van een drietal doorgaans vrij storende elementen op de impact die deze elementen hebben op de aantrekkelijkheid van het landschap. Het betreft windturbineparken, bedrijventerreinen en grote stallen. Bij alle drie elementen is gekeken naar het effect van mitigerende maatregelen, meestal in de vorm van beplanting, alsmede naar het afstandsverval van de impact. Voor windturbineparken is verder gekeken naar het aantal turbines, de hoogte van de masten en de opstelling. Voor bedrijventerreinen waren dit het soort terrein, de omvang, en de hoogte. Voor grote stallen waren het de lengte en het gebruikte materiaal voor de wanden, respectievelijk het dak. Een en ander is systematisch onderzocht middels foto’s en realistische fotomontages, waarbij een beoordelaar slechts één variant van (een element in) een bepaald landschap voorgelegd kreeg. De beoordelaars waren ruim 2000 leden van een panel van het onderzoeksbureau GfK

Is it more feeling or thinking? The influence of affective and cognitive attitude on adolescents' intention to engage in binge drinking

Previous work has revealed that interventions aiming to reduce adolescent binge drinking commonly focus on cognitive attitudes, but are insufficiently effective in changing binge-drinking intentions. The focus on these cognitive attitudes might be the reason for this insufficient success. That is, other work has revealed that affective attitudes have a stronger influence on binge-drinking intention than cognitive attitudes. However, this relation has so far only been found among traditional college students and pre-vocational school students, therewith neglecting another important population at risk, namely vocational community college students. This study examines whether affective attitudes are also significantly stronger influencers of binge-drinking intentions among vocational community college students. Using a sample of 298 vocational community college students (Mage = 17.63), the current study shows that affective attitudes were more strongly related to vocational community college students' intention to engage in binge drinking than cognitive attitudes. This finding indicates that the effectiveness of interventions targeting adolescent binge drinking can be improved by incorporating content elements concerning affective attitudes

Differentiable programming for Earth system modeling

Earth system models (ESMs) are the primary tools for investigating future Earth system states at timescales from decades to centuries, especially in response to anthropogenic greenhouse gas release. State-of-the-art ESMs can reproduce the observational global mean temperature anomalies of the last 150 years. Nevertheless, ESMs need further improvements, most importantly regarding (i) the large spread in their estimates of climate sensitivity, i.e., the temperature response to increases in atmospheric greenhouse gases; (ii) the modeled spatial patterns of key variables such as temperature and precipitation; (iii) their representation of extreme weather events; and (iv) their representation of multistable Earth system components and the ability to predict associated abrupt transitions. Here, we argue that making ESMs automatically differentiable has a huge potential to advance ESMs, especially with respect to these key shortcomings. First, automatic differentiability would allow objective calibration of ESMs, i.e., the selection of optimal values with respect to a cost function for a large number of free parameters, which are currently tuned mostly manually. Second, recent advances in machine learning (ML) and in the number, accuracy, and resolution of observational data promise to be helpful with at least some of the above aspects because ML may be used to incorporate additional information from observations into ESMs. Automatic differentiability is an essential ingredient in the construction of such hybrid models, combining process-based ESMs with ML components. We document recent work showcasing the potential of automatic differentiation for a new generation of substantially improved, data-informed ESMs.</p

Particle filter based MAP state estimation: A comparison

MAP estimation is a good alternative to MMSE for certain applications involving nonlinear non Gaussian systems. Recently a new particle filter based MAP estimator has been derived. This new method extracts the MAP directly from the output of a running particle filter. In the recent past, a Viterbi algorithm based MAP sequence estimator has been developed. In this paper, we compare these two methods for estimating the current state and the numerical results show that the former performs better

Bragg spectroscopy of a superfluid Bose-Hubbard gas

Bragg spectroscopy is used to measure excitations of a trapped, quantum-degenerate gas of 87Rb atoms in a 3-dimensional optical lattice. The measurements are carried out over a range of optical lattice depths in the superfluid phase of the Bose-Hubbard model. For fixed wavevector, the resonant frequency of the excitation is found to decrease with increasing lattice depth. A numerical calculation of the resonant frequencies based on Bogoliubov theory shows a less steep rate of decrease than the measurements.Comment: 11 pages, 4 figure