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Although Homer's Odyssey is not a scientific or historical work, it reveals certain elements of Meteorology. Weather phenomena during Ulysses' 10-year return journey reflect empirical observations from the Bronze Age up to the post-Mycenaean era, or even the early Geometric times, probably localized across the Mediterranean Sea. Seeking descriptive characteristics or other features in the Odyssey's narration, this study is an attempt to build up a scientific approach in several items, e.g., wind fields considering related tests for comparison. [ABSTRACT FROM AUTHOR]

Climate change represents great physical and transition risks to the economy in the form of disasters and unaccustomed changes. Although these risks are recognized in the literature, there is still no unequivocal consensus on how to react or who should react to climate change and shield the economy against these risks. However, looking at the financial side of the economy, changes in investors' behaviors can give us ideas on how climate change can disrupt the financial market. In my work, I examine financial markets' reactions to climate change. Specifically, I focus on capital flows' different behaviors to disastrous climate events. Capital flows are key contributors to the global economy through financial markets: they can improve the financial sector's competitiveness in a country, promote investment, and help to smooth consumption. However, their large size and volatility represent potential risks to the global and local financial systems. The literature has assessed potential drivers of capital flows, but we lack information about the effect of climate change. I examine how climate events can be new drivers of capital flows, especially for sudden changes. Disastrous climate events may drive capital flows via two channels. First, climate events can be country-specific pull factors as investors might pull back from a country after a weather shock. Second, they might represent a global push factor: after an extreme climate event strikes outside the country, investors might still withdraw even without suffering actual loss, if the country is prone to disasters. To understand financial markets' true reactions to climate change, I aim to identify its impact by examining local and regional climate effects. To quantify the local aspect, I proxy the severity of climate events through two methods. First, I evaluate the duration of disastrous events with respect to countries' climate history. Therefore, a longer flood event will count more than a shorter one. Second, I control for the population's exposure to climate events. Hence, I capture the extent to which the population has been affected by a disaster, rather than focusing on possibly large but separate disasters in a country. This method can highlight that a storm might have a more significant effect in the densely populated Chicago than in the Sahara. To capture whether climate change represents a regional push factor, I count regional disasters around a country quarterly. Both local and regional methods use climate event indices that capture climate change by focusing on common disasters. Specifically, the indices count droughts, extreme temperatures, floods, and storms. These new indices measure climate change more accurately, as they incorporate more than one disaster contrary to the common procedure in the literature, focusing solely on storms, for example. I find that both regional and local indices cause sudden increases in capital inflows. My research has sound policy implications: countries experiencing sudden changes in capital flows are more susceptible to macroeconomic instability and may suffer more easily from other financial risks. Therefore, understanding whether climate change is a new driver of capital flows, domestic institutions can prepare their countries better for sudden changes. [ABSTRACT FROM AUTHOR]

Running an always-on distributed system that has the task of continuous message processing can raise a series of problems like resource sharing with the other services running in the cluster, controlling the locality of the worker processes and the ability to move workers from one machine to another without impacting the functionality of the system or inducing data loss. In this paper are making an in-depth analysis of these problems and design a system that addresses them. Our computation pipeline takes the form of a Storm topology and with dynamic resource management and isolation for it being achieved through Apache Mesos. The focus is on isolating and distributing resources between the nodes of one topology instance and other services. [ABSTRACT FROM PUBLISHER]

IEEE 802.11p Wireless Access in the Vehicular Environment (WAVE) standard is being developed, in order to support Intelligent Transportation System (ITS) applications including safety applications. This includes data exchange between vehicles (V2V), and between vehicles and infrastructure (V2I). Safety applications, e.g., collision and other safety warnings, rely on broadcast communication. Unfortunately, 802.11p does not allow mechanisms such as sending RTS/CTS and acknowledgements for broadcast communication. Therefore, several collisions can be caused by hidden nodes/vehicles. Moreover, the possibility of using the binary exponential back-off technique to reduce congestion is not supported due to the lack of acknowledgements. In this paper, we propose a new 802.11 based Vehicular Multi-hop Broadcast protocol, called Highway Multihop Broadcast (HMB) that addresses the broadcast storm, hidden node, and reliability problems of multi-hop broadcast in VANET. HMB selects the farthest vehicle, with the least speed deviation with respect to the source, to forward and acknowledge broadcast frames. Simulation results show that HMB has a very high success rate in delivering safety messages, and efficient channel utilization when compared with existing broadcast based protocols [ABSTRACT FROM PUBLISHER]

The article discusses a study which examined the impact of mooring line slackening caused by inverse catenary cut-in imposed by severe loading conditions on the offset integrity of a deep water floating production unit. It cites the action of extreme loading conditions as the possible cause of the slackening in the moorings. Particular focus is given to how the change in inverse catenary affects the mooring's behaviour.

The article discusses a study on a fixed bottom offshore wind turbine tripod type for both operating and extreme conditions. The study presented the time histories of the rotor load and the resulting forces at various levels of the structure. It also investigated the percentages of the rotor load contribution to the stresses of the structure components during power production. Results showed that these percentages reveal the regions where the loadings of the power production state dominate.

The article presents a study which examined the concentration and resuspension-subsidence movement of suspension after storm in the NingJin sea area in China based on measured data. The suspension concentration was found to be higher than that under normal weather. Local sediment resuspended during storm and coarse particles settled quickly after storms and a lot of fine particles on the tidal flat in Shidao Bay transported to Ning-Jin Sea.

The Radio Plasma Imager (RPI) aboard the Imager for Magnetopause-to-Aurora Global Exploration (IMAGE) satellite is a pioneering instrument that has made fundamental space plasma and wave observations. This paper reviews the RPI measurement techniques and measurement parameters. In particular, it focuses on RPI's capability in deducing the magnetic field-aligned electron density (FAED) profiles, which turn out to have significant contributions to (1) constructing magnetospheric density models, (2) understanding plasmaspheric refilling process, (3) understanding the source regions and generation mechanism of the kilometric continuum radiation, and (4) determining the location of electron scattering by whistler waves, a process responsible for the formation of the radiation-belt slot region. [ABSTRACT FROM AUTHOR]