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Coastal meteorology encompasses a considerable range of small- and large-scale weather events which have shared underlying theoretical and practical principles. This book covers the foundational principles of coastal weather events and illustrates them through application to real-world examples. A wide range of topics have been covered, from sea/land breeze circulations to low-level coastal jets and the interaction fronts of cyclones with coastal features. The book represents an essential resource for upper division undergraduates, graduate students, and researchers interested in coastal meteorology, oceanography, climatology, and atmospheric science. Readers will gain a solid conceptual understanding of meteorological phenomena that can be applied to coastal weather across the world and used to better predict coastal weather variations. This capacity to predict variations is necessary for mitigating climate change risk in coastal areas, which is an issue of current and pressing importance.
The chapter describes the basic terminology used in the book, the composition of the Earth system and the principles of climate dynamics. It details the main components of the Earth system (atmosphere, ocean, hydrosphere, cryosphere, biosphere and solid Earth) and processes relevant to understanding climate dynamics. The concepts of climate, climate variability and climate change are discussed in the context of Quaternary climate dynamics. The global cycles of energy, water and carbon and their importance for climate evolution and variability are presented. The chapter introduces the mechanisms behind different types of radiative forcing, climate feedbacks and climate sensitivity. The difference between equilibrium and transient climate responses to different climate forcings is specified. The frameworks of stability and instability are introduced and discussed in application to climate. The relationship between the stochasticity of the Earth system and the predictability of climate change is presented.
The chapter outlines the primary methods used in empirical paleoclimatology, beginning with an overview of key paleoclimate proxies (stable oxygen and carbon isotopes, atmospheric composition, ice-rafted debris, aeolian dust and pollen) and the past environmental conditions they help reconstruct. The applicability and potential limitations of different proxies are discussed. It then describes the main paleoclimate archives, such as marine sediments and ice cores, speleothems, tree rings and others, in relation to paleoclimate proxies. The main dating techniques used in Quaternary paleoclimatology, such as the radiocarbon method, paleomagnetism and orbital tuning, are briefly examined. Several important paleoclimatological stacked records are presented, such as the Lisiecki-Raymo benthic stack. Finally, the main applications of paleoclimate proxies for reconstructing paleoenvironments and understanding past climate change and data-model comparison are reviewed.
The Quaternary period, which began 2.58 million years ago and continues to the present day, is distinctive for its significant climate variability. Understanding the mechanisms of climate change during this period and the relationship between carbon dioxide levels and temperature is hugely important in improving our ability to develop models to predict future climate change. This book discusses the main methods of empirical climatology and the models used to address different aspects of Quaternary climate dynamics, offering a multidisciplinary view of past and future climate changes. It examines the proposed mechanisms of Quaternary climate variability, including glacial cycles and abrupt climate changes, and their relationship to the intrinsic instability of ocean circulation and ice sheets. Including a final chapter on the Anthropocene, it provides a comprehensive overview of Quaternary and modern climate dynamics for graduate students and researchers working in paleoclimatology and climate change science.
The chapter explores millennial-scale climate variability during glacial periods and abrupt climate changes known as Dansgaard–Oeschger and Heinrich events. It begins with a description of the classification of abrupt climate changes, detailing their timing, typical periodicities and manifestations in different paleoclimate proxies and geographical locations. Progress in modeling the Dansgaard–Oeschger and Heinrich events is reviewed, starting from the early attempts to model millennial-scale climate variability to recent results from comprehensive Earth system models. This is followed by a discussion of the current state of understanding of the mechanism of Dansgaard–Oeschger and Heinrich events. It is shown that both types of millennial-scale climate variability are likely to represent spontaneous, self-sustained oscillations in different components of the Earth system, although it is possible that some interactions between these types of variabilities could lead to synchronization.
The chapter details recent and future climate changes, primarily caused by anthropogenic emissions of greenhouse gases. This period of time is now commonly referred to as the Anthropocene. The chapter begins with a critical discussion of the hypothesis that anthropogenic activities have already begun to significantly impact the global climate since the mid-Holocene. The climate changes observed during the last century and their attribution to human activities are presented. The concept of anthropogenic emission scenarios and projections of future climate change are then described. The results of several future model simulations are shown, and the most robust aspects of future climate change projections and their potential impacts on natural systems and humanity are discussed. Finally, the possibility of predicting the very long-term future (beyond the current millennia) is discussed and possible scenarios are presented.
The chapter presents the diversity and mechanisms of climate variability during the late Quaternary interglacials. It begins by describing the nomenclature of interglacials and the difficulties associated with accurately defining their durations. The mechanisms of climate variability during interglacials are explored, with particular emphasis on the role of orbital forcing. The rest of the chapter outlines three of the most prominent late Quaternary interglacials – MIS 11, the Eemian interglacial and the Holocene. The cause for the long duration of MIS 11 is described. The patterns of climate change and the cause for the high sea level during the Eemian interglacial are linked to a strong orbital forcing. The climate variability during the Holocene, including the cold 8.2k event and the “green Sahara” phenomenon, is examined. The comparison between several interglacial periods with weak orbital forcing and their differences is explained using the concept of the critical insolation-CO2 relationship.
The chapter begins with a brief history of paleoclimate modeling. It first outlines the main modeling approaches and types of models used to study Quaternary climate dynamics. The hierarchy of numerical models is presented, ranging from simple (box, conceptual and 1-dimensional) models to comprehensive 3-D Earth system models. The role of models of intermediate complexity and of individual components of the Earth system in understanding past climate variability is explored. The use of different types of models to study past climate conditions and climate variability is illustrated through a number of practical examples. The methods of conducting time slice and transient experiments are compared, and their potential limitations are discussed. The chapter also explains the objective and methodology of the paleoclimate intercomparison projects and their main results.
The chapter describes Quaternary glacial cycles. It begins by outlining the main empirical evidence regarding the magnitude, typical periodicity and spatial pattern of Quaternary climate variability at orbital time scales, including changes in atmospheric composition and global ice volume. The chapter explores the current understanding of the mechanisms of Quaternary glacial cycles, starting with the classical Milankovitch theory, highlighting its strengths and shortcomings, and then provides an overview of modeling work carried out with different types of models aimed at testing the theory and reproducing the reconstructed climate variability associated with glacial cycles. The role of glacial-interglacial variations in atmospheric CO2 concentrations and the proposed mechanism of this variability are examined. The cause of the onset of Quaternary glacial cycles 2.7 million years ago and the transition from obliquity-dominated glacial cycles to the dominant 100,000-year periodicity one million years ago are discussed in relation to recent modeling results.
The chapter provides a brief summary of Earth's geological history, spanning from its origin to the Quaternary. It presents the main geological periods, key events and qualitative transitions in atmospheric composition, climate variability and the complex interaction between climate and life. It discusses the role of the Great Oxidation Event for climate and biosphere, the so-called “faint young sun paradox,” and the mechanisms behind the Neoproterozoic snowball Earth. The role of plate tectonics and the formation and collapse of supercontinents in climate history is described. The Paleocene and Eocene greenhouse climates and possible mechanisms of the Paleocene-Eocene Thermal Maximum are examined. The influence of a gradual Cenozoic cooling in the transition from a greenhouse to an icehouse world is explored alongside the leading hypothesis for the cause of Antarctic glaciation. Finally, the role of various factors in the transition to regular Quaternary glacial cycles is discussed.
We integrate a discrete vortex method (DVM) with complex network analysis to strategise dynamic stall mitigation over aerofoils with active flow control. The objective is to inform the actuator placement and the timing to introduce control inputs during the highly transient process of dynamic stall. To this end, we treat a massively separated flow as a network of discrete vortical elements and quantify the interactions among the vortical nodes by tracking the spread of displacement perturbations between each pair of vortical elements using a DVM. This allows us to perform network broadcast mode analysis to identify an optimal set of discrete vortices, the critical timing and the direction to seed perturbations as control inputs. Motivated by the objective of dynamic stall mitigation, the optimality is defined as maximising the reduction of total circulation of the free vortices generated from the leading edge over a prescribed time horizon. We demonstrate the use of the analysis on a two-dimensional flow over a flat plate aerofoil and a three-dimensional turbulent flow over an SD$7003$ aerofoil. The results from the network analysis reveal that the optimal timing for introducing disturbances occurs slightly after the onset of flow separation, before the shear layer rolls up and forms the core of the dynamic stall vortex. The broadcast modes also show that the vortical nodes along the shear layer are optimal for introducing disturbances, hence providing guidance to actuator placement. Leveraging these insights, we perform nonlinear simulations of controlled flows by introducing flow actuation that targets the shear layer slightly after the separation onset. We observe that the network-guided control results in a $21 \,\%$ and $14\,\%$ reduction in peak lift for flows over the flat plate and SD$7003$ aerofoil, respectively. A corresponding decrease in vorticity injection from the aerofoil surface under the influence of control is observed from simulations, which aligns with the objective of the network broadcast analysis. The study highlights the potential of integrating the DVMs with the network analysis to design an effective active flow control strategy for unsteady aerodynamics.