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The hydrodynamic forces acting on an undulating swimming fish consist of two components: a drag-based resistive force, and a reactive force originating from the necessary acceleration of an added mass of water. Lighthill’s elongated-body theory, based on potential flow, provides a framework for calculating this reactive force. By leveraging the high aspect ratio of most fish, the theory simplifies the problem into a series of independent two-dimensional slices of fluids along the fish’s body, which exchange momentum with the body and neighbouring slices. Using momentum conservation arguments, Lighthill’s theory predicts the total thrust generated by an undulating fish, based solely on the dimensions and kinematics of its caudal fin. However, the assumption of independent slices has led to the common misconception that the flow produced lacks a longitudinal component. In this paper, we revisit Lighthill’s theory, offering a modern reinterpretation using essential singularities of potential flows. We then extend it to predict the full three-dimensional flow field induced by the fish’s body motion. Our results compare favourably with numerical simulations of realistic fish geometries.
When using machine learning to model environmental systems, it is often a model’s ability to predict extreme behaviors that yields the highest practical value to policy makers. However, most existing error metrics used to evaluate the performance of environmental machine learning models weigh error equally across test data. Thus, routine performance is prioritized over a model’s ability to robustly quantify extreme behaviors. In this work, we present a new error metric, termed Reflective Error, which quantifies the degree at which our model error is distributed around our extremes, in contrast to existing model evaluation methods that aggregate error over all events. The suitability of our proposed metric is demonstrated on a real-world hydrological modeling problem, where extreme values are of particular concern.
The combined effects of the imposed vertical mean magnetic field ($B_0$, scaled as the Alfvèn velocity) and rotation on the heat transfer phenomenon driven by the Rayleigh–Taylor (RT) instability are investigated using direct numerical simulations. In the hydrodynamic (HD) case, as the strength of the Coriolis frequency ($f$) increases, the Coriolis force enhances the mixing of fluids that dampens the growth of the mixing layer height ($h$) and reversible exchanges between the fluids, leading to a reduction in the heat transport, characterised by the Nusselt number ($Nu$). In non-rotating magnetohydrodynamic (MHD) cases, we find a significant delay in the onset of RT instability with increasing $B_0$, consistent with the linear theory in the literature. The imposed $B_0$ forms vertically elongated thermal plumes that exhibit a larger reversible buoyancy flux due to limited mixing, enabling them to transport heat efficiently between the bottom hot fluid and the upper cold fluid. This leads to enhanced heat transfer in the initial regime of unbroken elongated plumes in non-rotating MHD cases compared to the corresponding HD case. In the turbulent regime of broken small-scale structures, the imposed $B_0$ collimates the flow along the vertical magnetic field lines, reducing vertical velocity fluctuations ($u_3^{\prime }$) and increasing the growth of $h$. The increased $h$ primarily drives the heat transfer enhancement in the turbulent regime of non-rotating MHD over the corresponding HD case. When rotation is added along with the imposed $B_0$, the growth and breakdown of vertically elongated plumes are inhibited by the instability-damping effect of the Coriolis force. Consequently, heat transfer is also reduced in the rotating MHD cases compared to the corresponding non-rotating MHD cases. Interestingly, heat transport in rotating MHD cases is enhanced compared to the corresponding rotating HD cases because $B_0$ reduces mixing and mitigates the instability-damping effect of the Coriolis force. The presence of the ultimate state regime $Nu\simeq Ra^{1/2}Pr^{1/2}$, where $Ra$ is the Rayleigh number and $Pr$ is the Prandtl number, is observed in the non-rotating HD and MHD cases. However, the rotating HD and MHD cases depart from this ultimate state scaling. Furthermore, the dynamic balance between different forces is analysed to understand the behaviour of the thermal plumes. The turbulent kinetic energy budget reveals the conversion of the turbulent kinetic energy, generated by the buoyancy flux, into turbulent magnetic energy.
This work is a numerical study of a transitional shock wave boundary layer interaction (SWBLI). The main goal is to improve our understanding of the well-known low-frequency SWBLI unsteadiness and especially the suspected role of triadic interactions in the underlying physical mechanism. To this end, a direct numerical simulation is performed using a high-order finite-volume scheme equipped with a suitable shock capturing procedure. The resulting database is then extensively post-processed in order to extract the main dynamical features of the interaction zone dynamics (involved characteristic frequencies, characteristics of the vortical structures, etc.). The dynamical organisation and space–time evolution of the flow at dominant frequencies are then further characterised by mean of an spectral proper orthogonal decomposition analysis. In order to study the role of triadic interactions occurring in the interaction region, a bispectral mode decomposition analysis is applied to the database. It allows us to extract the significant triadic interactions, their location and the resulting physical spatial modes. Strong triadic interactions are detected in the downstream part of the separation bubble whose role on the low-frequency unsteadiness is characterised. All the results of the various analyses are then discussed and integrated to formulate a possible mechanism fuelling low-frequency SWBLI unsteadiness.
Geophysical flows are typically composed of wave and mean motions with a wide range of overlapping temporal scales, making separation between the two types of motion in wave-resolving numerical simulations challenging. Lagrangian filtering – whereby a temporal filter is applied in the frame of the flow – is an effective way to overcome this challenge, allowing clean separation of waves from mean flow based on frequency separation in a Lagrangian frame. Previous implementations of Lagrangian filtering have used particle tracking approaches, which are subject to large memory requirements or difficulties with particle clustering. Kafiabad & Vanneste (2023, Computing Lagrangian means, J. Fluid Mech., vol. 960, A36) recently proposed a novel method for finding Lagrangian means without particle tracking by solving a set of partial differential equations alongside the governing equations of the flow. In this work, we adapt the approach of Kafiabad & Vanneste to develop a flexible, on-the-fly, partial differential equation-based method for Lagrangian filtering using arbitrary convolutional filters. We present several different wave–mean decompositions, demonstrating that our Lagrangian methods are capable of recovering a clean wave field from a nonlinear simulation of geostrophic turbulence interacting with Poincaré waves.
This study provides a comprehensive analysis of the snow and avalanche climate of the Chic-Chocs region of the Gaspé Peninsula, located in the northeastern Appalachians of eastern Canada. The data revealed two major components of the snow and avalanche climate: a cold snow cover combined with a maritime influence causing melt/ice layers through rain-on-snow events. The CRCM6-SNOWPACK model chain was good at representing the seasonal mean of climatic indicators, snow grain type and an avalanche problem type that well represented the investigated snow and avalanche climate of the study region. The global comparison shows that the snow and avalanche climate is different from other areas in western North America, but similar to Mount Washington (New Hampshire, USA) and central Japan. We show a clustering based solely on avalanche problem types, which showed that the onset date of wet snow problems divided most of the winters into three clusters. We compare these clusters with the French Alps and show some similarities, moving away from a traditional snow and avalanche climate description. The paper concludes that the use of advanced snow cover modeling combined with avalanche problem type characterization represents a suitable method to improve our understanding and classification of snow and avalanche climates for avalanche related problems, ultimately contributing to improved forecasting and risk management in similar regions.
Firn, an interannual layer made of a seasonal snow, covers the vast majority of the Greenland ice sheet. Firn holds the potential to buffer meltwater runoff by refreezing in its pore space. However, recent intensive summer melt and refreezing have led to the development of low-permeability ice slabs several metres thick in the shallow firn of the percolation zone, in areas that now often undergo visible surface runoff. Here, we analyse ice slab thickness retrievals from Operation IceBridge Accumulation Radar together with visible runoff limits derived from Landsat imagery. We constrain the minimum average ice slab thickness over spatial scales of kilometres that can support visible surface water flow as lying between 2.8 m and 3.5 m. We highlight that there is substantial heterogeneity in ice slab thickness, much of which can be explained by visible lateral meltwater flow over the slab and subsequent localised refreezing. Our findings provide a basis for improving how firn models partition between meltwater retention and runoff, by providing constraints on when simulated ice layers become impermeable enough to support lateral water flow over scales of several kilometres.
To analyse compressibility-induced non-Oberbeck–Boussinesq (NOB-II) effects, we present a lattice Boltzmann (LB) model capable of simulating supercritical fluids. The LB model is validated using analytical solutions and experimental data. Using this model, we conduct two-dimensional laminar LB simulations of Rayleigh–Bénard convection (RBC) in supercritical fluids. Our results reveal that the ratio of the adiabatic temperature difference to the total temperature difference, $\alpha$, effectively indicates the intensity of NOB-II effects. We find that, NOB-II effects do not break the symmetry of the temperature, density or momentum fields. However, due to density differences between the upper and lower regions, NOB-II effects break the velocity symmetry. Moreover, we report for the first time the density inversion phenomenon in RBC, wherein convection can still occur when the bottom fluid is denser than the top fluid. The condition for density inversion is given as $\alpha \gt (c_p - c_v)/{c_p}$, where $c_p$ and $c_v$ are the specific heat capacities at constant pressure and volume, respectively. This inversion is attributed to the coupling effect of a significant pressure gradient and fluid compressibility. Our results also show that for a given Rayleigh number, NOB-II effects have no impact on the Reynolds number. However, as $\alpha$ approaches 1, the Nusselt number decreases linearly towards 1, indicating significant heat transfer deterioration (HTD). The mechanism underlying HTD is attributed to the compression work term in the energy equation, which absorbs heat from the hot plume in central region, diminishing its capacity to transfer heat from the bottom to the top plate.
The region encompassing the Sahara and the Arabian Peninsula has seen dramatic changes in Holocene moisture availability. While the highlands of Yemen are sensitive to moisture dynamics, their history remains poorly known. This study provides new information on Holocene environmental change in the Yemeni highlands through analyses of the lithostratigraphy and ostracod stratigraphy of two localities. The diversity and abundance of ostracod populations serve as key environmental indicators, reflecting stability and change in aquatic habitats. Six time periods are identified, each representing distinct phases of environmental and climatic change. Undated gravelly fine sands, possibly of late-glacial or Early Holocene age, indicate dry conditions. Subsequent stages indicate a progression of moister conditions and warmer climates characterized by the formation of ponds and lakes and fluctuations in water availability. Shifts occurred between oligotrophic and eutrophic conditions, and between desiccation trends and wetter conditions. We found the taxonomic composition of ostracod populations in Yemen’s highlands to include species from mountainous regions of Africa and the broader Palaearctic. This research aligns with previously reported data and expands our understanding of past ecosystems and climatic conditions in highland Yemen.
In the last 50 years, the field of paleobiology has undergone a computational revolution that opened multiple new avenues for recording, storing, and analyzing vital data on the history of life on Earth. With these advances, the amount of data available for research has grown, but so too has our responsibility to ensure that our data tools and infrastructures continue to innovate in order to best serve our diverse community. This review focuses on data equity in paleobiology, an aspirational goal, wherein data in all forms are collected, stored, shared and analyzed in a responsible, equitable, and sustainable manner. While there have been many advancements across the last five decades, inequities persist. Our most significant challenges relate to several interconnected factors, including ethical data collection, sustainable infrastructure, socioeconomic biases, and global inequalities. We highlight the ways in which data equity is critical for paleobiology and stress the need for collaborative efforts across the paleobiological community to urgently address these data equity challenges. We also provide recommendations for actions from individuals, teams, academic publishers, and academic societies in order to continue enhancing data equity and ensuring an equitable and sustainable future for our field.
Combined surging and pitching of an airfoil at the identical frequency (i.e. synchronously), at four different phase differences, was investigated theoretically and experimentally. The most general unsteady theoretical formulation was adopted to calculate the lift coefficient, and then extended to explicitly compute the unsteady bound vortex sheet. This was used for comparison with experiments and facilitated the computation of both Joukowsky and impulsive-pressure lift contributions. Experiments were performed using a symmetric 18 % thick airfoil in an unsteady wind tunnel at an average Reynolds number of $3.0\times 10^5$, with a free-stream oscillation amplitude of 51 %, an angle-of-attack range of $2^\circ \pm 2^\circ$ and a reduced frequency of 0.097. In general, excellent correspondence was observed between theory and experiment, representing the first direct experimental validation of the general theory. It was shown, both theoretically and experimentally, that the lift coefficient was not accurately represented by independent superposition of surging and pitching effects, due to variations in the instantaneous effective reduced frequency not accounted for during pure pitching. Deviations from theory, observed at angle-of-attack phase leads of $90^\circ$ and $180^\circ$, were attributed to bursting of separation bubbles during the early stages of the acceleration phase. The largest deviations occurred when the impulsive-pressure lift contribution was small relative to the Joukowsky contribution, because the latter was most affected by bubble bursting. Bubble bursting resulted in large form-drag oscillations that occurred at identical phase angles within the oscillation cycle, irrespective of the phase difference between surging and pitching, as well as in the absence of pitching.
Studies on the evolution of characteristics and dynamic mechanisms of dry/wet status in global arid regions are contradictory. We systematically assessed the evolution and drivers of dry/wet status in global arid regions from a paleoclimate perspective using observational datasets, paleoclimate records, and climate model simulations from Paleoclimate Model Intercomparison Project Phase 4 (PMIP4)-Coupled Model Intercomparison Project Phase 6 (CMIP6) and PMIP3-CMIP5. Our results show that climate change during the last glacial maximum (LGM) provides a reverse analog for the near-future climate in global arid regions. The notable migration of the subtropical high during the LGM profoundly altered the atmospheric circulation and influenced dry/wet status in global arid regions. The multimodel ensembles project that under the shared socioeconomic pathway (SSP) 8.5 scenario, nonuniform heating induced by polar-amplified warming will introduce northward migration of the subtropical high. The resulting reduction in subtropical precipitation will lead to expansion of global arid regions under global warming, which is consistent with previous studies based on atmospheric aridity.
Recent archaeological studies carried out at Morro de Arica, on the Pacific coast of the south-central Andean area, traditional burial core of the Chinchorro culture (∼7000−3000 cal BP), have enabled a comparative analysis of radiocarbon dates from burial and domestic spaces, considering the differences between dated marine and terrestrial samples. Consequently, we refined the chronological sequence of the Chinchorro culture and obtained a delta reservoir effect of up to 176±113 years, allowing for interpretation of the impact of stratigraphic alterations and pottery fills on the archaeological site’s formation.
Marine flooding events occasionally interrupted the everyday lives of prehistoric coastal populations. Identification of such events are important for studies of past population dynamics and adaptive strategies. However, short-term events are rarely identified in the geological record, which puts a severe limit on our archaeological interpretive framework. This paper explores the temporality of the second Holocene transgression in southwestern Norway (ca. 3500 BCE) and works under the hypothesis that it was not a slow geological process but rather one or multiple short-term events. A Bayesian approach is used to analyze multidisciplinary time series data collected from sites located in Norway and Shetland. The resulting chronological model supports the hypothesis that the second Holocene transgression in southwestern Norway was a rapid flooding event that occurred in the period 3445–3395 BCE (Early Neolithic II). It is also suggested, but not argued conclusively, that this flooding event could correspond to the Garth tsunami, a paleotsunami named after Garth Loch in Shetland. Considering the potential impact of such a flooding event on the everyday lives of local foragers who dwelled in southwestern Norway, it is anticipated that this study could form a starting point for future case studies.