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Fernandes, Shaun --- Gardoni, Antonio --- Jordan, Simon --- Jumps
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Fernandes, Shaun --- Gardoni, Antonio --- Jordan, Simon --- Jumps
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Mountainous regions occupy a significant fraction of the Earth’s continents and are characterized by specific meteorological phenomena operating on a wide range of scales. Being a home to large human populations, the impact of mountains on weather and hydrology has significant practical consequences. Mountains modulate the climate and create micro-climates, induce different types of thermally and dynamically driven circulations, generate atmospheric waves of various scales (known as mountain waves), and affect the boundary layer characteristics and the dispersion of pollutants. At the local scale, strong downslope winds linked with mountain waves (such as the Foehn and Bora) can cause severe damage. Mountain wave breaking in the high atmosphere is a source of Clear Air Turbulence, and lee wave rotors are a major near-surface aviation hazard. Mountains also act to block strongly-stratified air layers, leading to the formation of valley cold-air pools (with implications for road safety, pollution, crop damage, etc.) and gap flows. Presently, neither the fine-scale structure of orographic precipitation nor the initiation of deep convection by mountainous terrain can be resolved adequately by regional-to global-scale models, requiring appropriate downscaling or parameterization. Additionally, the shortest mountain waves need to be parameterized in global weather and climate prediction models, because they exert a drag on the atmosphere. This drag not only decelerates the global atmospheric circulation, but also affects temperatures in the polar stratosphere, which control ozone depletion. It is likely that both mountain wave drag and orographic precipitation lead to non-trivial feedbacks in climate change scenarios. Measurement campaigns such as MAP, T-REX, Materhorn, COLPEX and i-Box provided a wealth of mountain meteorology field data, which is only starting to be explored. Recent advances in computing power allow numerical simulations of unprecedented resolution, e.g. LES modelling of rotors, mountain wave turbulence, and boundary layers in mountainous regions. This will lead to important advances in understanding these phenomena, as well as mixing and pollutant dispersion over complex terrain, or the onset and breakdown of cold-air pools. On the other hand, recent analyses of global circulation biases point towards missing drag, especially in the southern hemisphere, which may be due to processes currently neglected in parameterizations. A better understanding of flow over orography is also crucial for a better management of wind power and a more effective use of data assimilation over complex terrain. This Research Topic includes contributions that aim to shed light on a number of these issues, using theory, numerical modelling, field measurements, and laboratory experiments.
Turbulent fluxes --- Downslope winds --- Large eddy simulation --- Sub-mesoscale circulations --- orographic precipitation --- Thermally-driven flows --- Horizontal inhomogeneity --- Cold air pools --- Hydraulic jumps --- mountain waves
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Mountainous regions occupy a significant fraction of the Earth’s continents and are characterized by specific meteorological phenomena operating on a wide range of scales. Being a home to large human populations, the impact of mountains on weather and hydrology has significant practical consequences. Mountains modulate the climate and create micro-climates, induce different types of thermally and dynamically driven circulations, generate atmospheric waves of various scales (known as mountain waves), and affect the boundary layer characteristics and the dispersion of pollutants. At the local scale, strong downslope winds linked with mountain waves (such as the Foehn and Bora) can cause severe damage. Mountain wave breaking in the high atmosphere is a source of Clear Air Turbulence, and lee wave rotors are a major near-surface aviation hazard. Mountains also act to block strongly-stratified air layers, leading to the formation of valley cold-air pools (with implications for road safety, pollution, crop damage, etc.) and gap flows. Presently, neither the fine-scale structure of orographic precipitation nor the initiation of deep convection by mountainous terrain can be resolved adequately by regional-to global-scale models, requiring appropriate downscaling or parameterization. Additionally, the shortest mountain waves need to be parameterized in global weather and climate prediction models, because they exert a drag on the atmosphere. This drag not only decelerates the global atmospheric circulation, but also affects temperatures in the polar stratosphere, which control ozone depletion. It is likely that both mountain wave drag and orographic precipitation lead to non-trivial feedbacks in climate change scenarios. Measurement campaigns such as MAP, T-REX, Materhorn, COLPEX and i-Box provided a wealth of mountain meteorology field data, which is only starting to be explored. Recent advances in computing power allow numerical simulations of unprecedented resolution, e.g. LES modelling of rotors, mountain wave turbulence, and boundary layers in mountainous regions. This will lead to important advances in understanding these phenomena, as well as mixing and pollutant dispersion over complex terrain, or the onset and breakdown of cold-air pools. On the other hand, recent analyses of global circulation biases point towards missing drag, especially in the southern hemisphere, which may be due to processes currently neglected in parameterizations. A better understanding of flow over orography is also crucial for a better management of wind power and a more effective use of data assimilation over complex terrain. This Research Topic includes contributions that aim to shed light on a number of these issues, using theory, numerical modelling, field measurements, and laboratory experiments.
Turbulent fluxes --- Downslope winds --- Large eddy simulation --- Sub-mesoscale circulations --- orographic precipitation --- Thermally-driven flows --- Horizontal inhomogeneity --- Cold air pools --- Hydraulic jumps --- mountain waves
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kanalen (geografie) --- waterbouwkunde --- milieubeheer --- Water supply. Water treatment. Water pollution --- Hydraulic engineering --- waterbeheer --- waterlopen --- Voie d'eau intérieure --- Inland waterways --- Génie hydraulique --- 532.53 --- stromingsmeter --- River channels --- Open-channel phenomena. Falls. Weirs. Jumps --- Channels (Hydraulic engineering). --- 532.53 Open-channel phenomena. Falls. Weirs. Jumps --- Channels (Hydraulic engineering) --- hydraulica --- hydrologie --- stromingsleer --- Bodies of water --- Fluid mechanics --- Transport --- transport --- transport. --- Canaux (génie hydraulique)
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Mountainous regions occupy a significant fraction of the Earth’s continents and are characterized by specific meteorological phenomena operating on a wide range of scales. Being a home to large human populations, the impact of mountains on weather and hydrology has significant practical consequences. Mountains modulate the climate and create micro-climates, induce different types of thermally and dynamically driven circulations, generate atmospheric waves of various scales (known as mountain waves), and affect the boundary layer characteristics and the dispersion of pollutants. At the local scale, strong downslope winds linked with mountain waves (such as the Foehn and Bora) can cause severe damage. Mountain wave breaking in the high atmosphere is a source of Clear Air Turbulence, and lee wave rotors are a major near-surface aviation hazard. Mountains also act to block strongly-stratified air layers, leading to the formation of valley cold-air pools (with implications for road safety, pollution, crop damage, etc.) and gap flows. Presently, neither the fine-scale structure of orographic precipitation nor the initiation of deep convection by mountainous terrain can be resolved adequately by regional-to global-scale models, requiring appropriate downscaling or parameterization. Additionally, the shortest mountain waves need to be parameterized in global weather and climate prediction models, because they exert a drag on the atmosphere. This drag not only decelerates the global atmospheric circulation, but also affects temperatures in the polar stratosphere, which control ozone depletion. It is likely that both mountain wave drag and orographic precipitation lead to non-trivial feedbacks in climate change scenarios. Measurement campaigns such as MAP, T-REX, Materhorn, COLPEX and i-Box provided a wealth of mountain meteorology field data, which is only starting to be explored. Recent advances in computing power allow numerical simulations of unprecedented resolution, e.g. LES modelling of rotors, mountain wave turbulence, and boundary layers in mountainous regions. This will lead to important advances in understanding these phenomena, as well as mixing and pollutant dispersion over complex terrain, or the onset and breakdown of cold-air pools. On the other hand, recent analyses of global circulation biases point towards missing drag, especially in the southern hemisphere, which may be due to processes currently neglected in parameterizations. A better understanding of flow over orography is also crucial for a better management of wind power and a more effective use of data assimilation over complex terrain. This Research Topic includes contributions that aim to shed light on a number of these issues, using theory, numerical modelling, field measurements, and laboratory experiments.
Turbulent fluxes --- Downslope winds --- Large eddy simulation --- Sub-mesoscale circulations --- orographic precipitation --- Thermally-driven flows --- Horizontal inhomogeneity --- Cold air pools --- Hydraulic jumps --- mountain waves --- Turbulent fluxes --- Downslope winds --- Large eddy simulation --- Sub-mesoscale circulations --- orographic precipitation --- Thermally-driven flows --- Horizontal inhomogeneity --- Cold air pools --- Hydraulic jumps --- mountain waves
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532.53 --- 556.535.6 --- 627.43 --- Open-channel phenomena. Falls. Weirs. Jumps --- Sediment transport in rivers --- Improvement of rivers by damming works. Weirs. Gated dams --- Channels (Hydraulic engineering) --- Hydraulics. --- Culverts --- Dams --- Hydrodynamics. --- Design and construction. --- 627.43 Improvement of rivers by damming works. Weirs. Gated dams --- 556.535.6 Sediment transport in rivers --- 532.53 Open-channel phenomena. Falls. Weirs. Jumps --- Channels (Hydraulic engineering). --- Hydraulics --- Flow of water --- Water --- Fluid mechanics --- Hydraulic engineering --- Jets --- Bodies of water --- River channels --- Flow --- Distribution
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Control the impact of cohesive sediments on open channels by managing the effects of silt, clay and other sediments in harbors, estuaries and reservoirs. Cohesive Sediments in Open Channels provides you with a practical framework for understanding how cohesive sediments are transported, deposited and eroded. One of the first books to approach the subject from an engineering's perspective, this book supplies insight into applying hydraulic design as well as understanding the behavior of cohesive sediments in a flow field.Properties and of the nature and the origin of the interparticle p
Sediment control --- Sediment transport --- 532.53 --- 553.068.2 --- 556.535.6 --- 556.53 --- 624.131.37 --- 627 --- Fluvial sediment transport --- Stream sediment transport --- Transport, Sediment --- Erosion --- Control of sediment --- Hydraulic engineering --- 556.53 Rivers. Streams. Canals --- Rivers. Streams. Canals --- 556.535.6 Sediment transport in rivers --- Sediment transport in rivers --- 553.068.2 Sedimentary deposits --- Sedimentary deposits --- 532.53 Open-channel phenomena. Falls. Weirs. Jumps --- Open-channel phenomena. Falls. Weirs. Jumps --- 627 Natural waterway, port, harbour and shore engineering. Navigational, dredging, salvage and rescue facilities. Dams and hydraulic power plant --- Natural waterway, port, harbour and shore engineering. Navigational, dredging, salvage and rescue facilities. Dams and hydraulic power plant --- 624.131.37 Soil analysis. Laboratory tests. Model tests --- Soil analysis. Laboratory tests. Model tests --- Sediment transport. --- Sediment control. --- Earth Sciences --- General and Others
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Asset pricing, investment, and trading strategies are very important in finance. They are useful in various situations, for example, supporting the decision-making process of choosing investments; determining the asset-specific required rate of return on the investment; pricing derivatives for trading or hedging; getting portfolios from fixed incomes or bonds, stocks, and other assets; evaluating diverse portfolios; determining macroeconomic variables affecting market prices; calculating option prices; and incorporating features such as mean reversion and volatility, etc. They can also be applied in financial forecast for assets, portfolios, business projects.Understanding, modeling, and using various asset pricing models, investment models, and models for different trading strategies is paramount in many different areas of finance and investment, including banking, stocks, bonds, currencies, and related financial derivatives. Different asset pricing models, investment models, and models for different trading strategies also allow us to compare the performances of different variables through the analysis of empirical real-world data.This Special Issue on "Asset Pricing, Investment, and Trading Strategies” will be devoted to advancements in the theoretical development of various asset pricing models, investment models, and models for different trading strategies as well as to their applications.The Special Issue will encompass innovative theoretical developments, challenging and exciting practical applications, and interesting case studies in the development and analysis of various asset pricing models, investment models, and models for different trading strategies in finance and cognate disciplines.
Development economics & emerging economies --- quantile --- correlogram --- dependence --- predictability --- market efficiency --- state ownership --- risk-taking behavior --- investment --- Vietnam --- GMM --- nonlinearity --- trading strategy --- trade-offs --- transport operations --- competitiveness --- sustainability --- growth --- ARDL --- stock exchange --- capitalization --- turnover --- value traded --- agricultural commodity future prices --- extreme value --- NON-stationary Extreme Value Analysis (NEVA) --- Newton-optimal method --- high-frequency data --- market liquidity --- sovereign bonds --- spillover --- backwardation --- economic regimes --- momentum strategy --- systematic trading --- jumps identification --- swap variance --- integrated volatility --- realized volatility --- quantile --- correlogram --- dependence --- predictability --- market efficiency --- state ownership --- risk-taking behavior --- investment --- Vietnam --- GMM --- nonlinearity --- trading strategy --- trade-offs --- transport operations --- competitiveness --- sustainability --- growth --- ARDL --- stock exchange --- capitalization --- turnover --- value traded --- agricultural commodity future prices --- extreme value --- NON-stationary Extreme Value Analysis (NEVA) --- Newton-optimal method --- high-frequency data --- market liquidity --- sovereign bonds --- spillover --- backwardation --- economic regimes --- momentum strategy --- systematic trading --- jumps identification --- swap variance --- integrated volatility --- realized volatility
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Recently, considerable attention has been placed on the development and application of tools useful for the analysis of the high-dimensional and/or high-frequency datasets that now dominate the landscape. The purpose of this Special Issue is to collect both methodological and empirical papers that develop and utilize state-of-the-art econometric techniques for the analysis of such data.
level, slope, and curvature of the yield curve --- Nelson-Siegel factors --- supervised factor models --- combining forecasts --- principal components --- Minimum variance portfolio --- risk --- shrinkage --- S& --- P 500 --- high-frequency --- volatility --- forecasting --- realized measures --- bivariate GARCH --- Japanese candlestick --- ordered fuzzy number --- Kosiński’s number --- oriented fuzzy number --- dynamic analysis of securities --- integrated volatility --- high-frequency data --- jumps --- realized skewness --- cross-sectional stock returns --- signed jump variation --- long-range dependence --- log periodogram regression --- smoothed periodogram --- subsampling --- intraday returns --- portfolio selection --- maximum diversification --- regularization
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