Information Length as a Useful Index to Understand Variability in the Global Circulation

With improved measurement and modelling technology, variability has emerged as an essential feature in non-equilibrium processes. While traditionally, mean values and variance have been heavily used, they are not appropriate in describing extreme events where a significant deviation from mean values often occurs. Furthermore, stationary Probability Density Functions (PDFs) miss crucial information about the dynamics associated with variability. It is thus critical to go beyond a traditional approach and deal with time-dependent PDFs. Here, we consider atmospheric data from the Whole Atmosphere Community Climate Model (WACCM) model and calculate time-dependent PDFs and the information length from these PDFs, which is the total number of statistically different states that a system passes through in time. Time-dependent PDFs are shown to be non-Gaussian in general, and the information length calculated from these PDFs shed us a new perspective of understanding variabilities, correlation among different variables and regions. Specifically, we calculate time-dependent PDFs and information length and show that the information length tends to increase with the altitude albeit in a complex form. This tendency is more robust for flows/shears than temperature. Also, much similarity among flows and shears in the information length is found in comparison with the temperature. These results also suggest the importance of high latitude/altitude in the information budge in the Earth's atmosphere, the spatial gradient of the information as a useful proxy for the transport of physical quantities.Comment: 15 pages, 5 figure

Use of Cellular Concrete for Air Convection Embankment to Protect Permafrost Foundations in Cold Regions: Feasibility Study

The air convection embankment (ACE) is a technique used to protect permafrost from thawing in road construction in cold regions. However, the desired materials needed for ACE are not readily available, which prevents its extensive use in Alaska. To overcome the limitation of traditional ACE, and further improve the cooling effect of ACE, this study investigated the feasibility of using cellular concrete as an alternative material for ACE in cold regions. The heat transfer patterns of the cellular concrete ACE, the crushed-rock ACE, and the sand/gravel embankment were studied using the numerical simulation. The results of the present study show that the cooling performance of both cellular concrete ACE and crushed-rock ACE are superior to the traditional sand/gravel embankment. The cellular concrete ACE has better heat insulation property in the summer, and the crushed-rock ACE has stronger natural convection in winter. For the annual cooling efficiency of the two different ACE techniques, the proposed cellular concrete ACE has a better cooling effect on the foundation soil than the crushed-rock ACE. These results indicate that the thermal conductivity and specific heat capacity of construction materials have significant impacts on the performance of the ACE

Accelerating Atmospheric Gravity Wave Simulations using Machine Learning: Kelvin-Helmholtz Instability and Mountain Wave Sources Driving Gravity Wave Breaking and Secondary Gravity Wave Generation

Gravity waves (GWs) and their associated multi-scale dynamics are known to play fundamental roles in energy and momentum transport and deposition processes throughout the atmosphere. We describe an initial, two-dimensional (2-D), machine learning model – the Compressible Atmosphere Model Network (CAMNet) - intended as a first step toward a more general, three-dimensional, highly-efficient, model for applications to nonlinear GW dynamics description. CAMNet employs a physics-informed neural operator to dramatically accelerate GW and secondary GW (SGW) simulations applied to two GW sources to date. CAMNet is trained on high-resolution simulations by the state-of-the-art model Complex Geometry Compressible Atmosphere Model (CGCAM). Two initial applications to a Kelvin-Helmholtz instability source and mountain wave generation, propagation, breaking, and SGW generation in two wind environments are described here. Results show that CAMNet can capture the key 2-D dynamics modeled by CGCAM with high precision. Spectral characteristics of primary and SGWs estimated by CAMNet agree well with those from CGCAM. Our results show that CAMNet can achieve a several order-of-magnitude acceleration relative to CGCAM without sacrificing accuracy and suggests a potential for machine learning to enable efficient and accurate descriptions of primary and secondary GWs in global atmospheric models

VSCM: a Virtual Server Consolidation Manager for Cluster

Abstract. Virtual server consolidation is to use virtual machines to encapsulate applications which are running on multiple physical servers in the cluster and then integrate them into a small number of servers. Nowadays, with the expanding of enterprise-class data centers, virtual server consolidation can reduce large number of servers to help the enterprises reduce hardware and operating costs significantly and improve server utilization greatly. In this paper, we propose the VSCM manager for virtual cluster, which solves the problems in the consolidation from a globally optimal view and also takes migration overhead into account. Experiment results in virtual cluster demonstrate that, VSCM can greatly reduce the number of servers and the migration overhead

Evaluation Of Feasibility And Performance Of Foamed Fire-Resistant Coating Materials

A preliminary study found high-performance cement mortar, geopolymer mortar, and magnesium phosphate cement mortar (MPCM) have the potential as new fire-resistant materials. In this study, foam was added to these three fire-resistant materials to further improve their rheological, mechanical, and fire-resistant performance and reduce costs. Systematic design and experimental programs were conducted. The results showed the addition of foam enhanced workability, adhesiveness, and fire resistance, allowing the materials to withstand higher temperatures and further delay heat transfer. A mixture of 70% MPCM and 30% foam was identified as the optimum design, which could withstand 1000 °C with low heat transfer rates

Effectiveness of the Different Eutectic Phase-Change Materials in Cooling Asphalt Pavement

Choosing a Phase-Change Material (PCM) Adapted to the Specific Phase-Change Temperature (Tm) Required for Each Temperature Condition is of Utmost Importance in Cooling Pavements. Eutectic Phase-Change Materials (EPCMs) Realize the Customization of the Desired Tm and Reduce the Difficulty of Matching PCMs. This Work Aims to Investigate the Effectiveness of a Group of Binary/ternary EPCMs with Tm Ranging from 30 to 60 ℃ and Melting Enthalpies of Around 200 J/g as Thermal Regulation Components for Different Asphalt. to Achieve This Goal, the Thermal and Rheological Properties of Phase-Change Asphalt Binders (PCAB) Were Evaluated by Differential Scanning Calorimeter, Thermogravimetric, Fourier Transform Infrared, and Multiple Stress Creep and Recovery Tests. the Results Showed that PCAB with Latent Heat Improved the Specific Heat Capacity, Which Brought a Maximum Temperature Lag of 134.5 Min and a Maximum Temperature Difference of 11 ℃. Similarly, the PCAB Remained Chemical Stability, and its Thermal Stability Complied with the Construction Temperature Specifications. However, the Recrystallization of EPCMs Was Impeded by the Molten Asphalt Binder Matrix, Resulting in a Significant Reduction in Both the Tm and Enthalpy. Therefore, These Reductions Should Be Taken into Consideration When Choosing an EPCM. Additionally, as Liquid EPCM Softens the Binder, the Absence of Elasticity in Solid EPCMs Renders the Binder Stiff, Thus Reducing its Resistance to Deformation. These Impacts Were Particularly Noticeable in Styrene-Butadiene-Styrene Modified Asphalt Due to the Polymer Network Being Dissolved by Liquefication-EPCMs. to Sum Up, EPCMs with a Higher Tm (40–60 ℃) May Decrease their Negative Impact on Deformation Resistance, Such as Palmitic Acid-Myristic Acid-Methyl Stearate Mixtures

Time-resolved reflectance measurements on layered tissues with strongly varying optical properties

Most biological tissues consist of layers with different optical properties. A few examples are the skin, the esophagus, the stomach and the wall of arteries. An understanding of how the light propagates in such layered systems is a prerequisite for any light based therapy or diagnostic scheme. In this study we investigate the influence of different kinds of layers on time resolved reflectance measurements. Experiments were performed on layered gel phantoms and the results compared to Monte Carlo simulations and diffusion theory. It is shown that when a low absorbing medium is situated on top of a high absorbing medium, the absorption coefficient of the lower layer is accessible if the differences in the absorption coefficient are only small. In the case of large difference the optical properties of the upper layer dominate the signal and shield information on the lowest layer. The degree of this shielding effect depends on layer thickness as well as optical properties. In the case of an almost absorption and scattering free layer in between two normal tissues, an overall increase of the signal is visible. However, the overall shape of the curve is about preserved. The apparent scattering coefficient is slightly decreased, while the apparent absorption coefficient is unaltered

Near-infrared spectroscopy of a heterogeneous turbid system containing distributed absorbers

In most biological tissues, absorbers such as blood in the blood vessels are localized within a low-absorbing background medium. To study the effect of distributed absorbers on the near infrared reflectance, we developed a Monte Carlo code and performed time-domain measurements on heterogeneous tissue-vessel models. The models were made of low absorbing polyester resin mixed with TiO_2 as scatters. A series of tubes with diameters of 3.2 or 6.4 mm were made in the resin sample. The volume ratio of the tubes to the total sample is about 20%. During the measurement, these tubes were filled with turbid fluids with different absorption coefficients to simulate blood in various oxygenation states. We found that the apparent absorption coefficient of the resin/tube system, determined by using the diffusion equation fit, can be approximated by a volume-weighted sum of the absorption coefficients of the different absorbing components. This approximation has to be replaced by a more complex expression if the difference in absorption between the absorbers and background is very large (approximately 20 times). The results of the tissue phantom study are supported by the Monte Carlo simulation. Possible explanations for the photon migration in this kind of heterogeneous system is also presented

Determination of blood oxygenation in the brain by time-resolved reflectance spectroscopy: influence of the skin, skull, and meninges

Near infrared light has been used for the determination of blood oxygenation in the brain but little attention has been paid to the fact that the states of blood oxygenation in arteries, veins, and capillaries differ substantially. In this study, Monte Carlo simulations for a heterogeneous system were conducted, and near infrared time-resolved reflectance measurements were performed on a heterogeneous tissue phantom model. The model was made of a solid polyester resin, which simulates the tissue background. A network of tubes was distributed uniformly through the resin to simulate the blood vessels. The time-resolved reflectance spectra were taken with different absorbing solutions filled in the network. Based on the simulation and experimental results, we investigated the dependence of the absorption coefficient obtained from the heterogeneous system on the absorption of the actual absorbing solution filled in the tubes. We show that light absorption by the brain should result from the combination of blood and blood-free tissue background