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Unprecedented quantities of heat are entering the Pacific sector of the Arctic Ocean through Bering Strait, particularly during summer months. Though some heat is lost to the atmosphere during autumn cooling, a significant fraction of the incoming warm, salty water subducts (dives beneath) below a cooler fresher layer of near-surface water, subsequently extending hundreds of kilometers into the Beaufort Gyre. Upward turbulent mixing of these sub-surface pockets of heat is likely accelerating sea ice melt in the region. This Pacific-origin water brings both heat and unique biogeochemical properties, contributing to a changing Arctic ecosystem. However, our ability to understand or forecast the role of this incoming water mass has been hampered by lack of understanding of the physical processes controlling subduction and evolution of this this warm water. Crucially, the processes seen here occur at small horizontal scales not resolved by regional forecast models or climate simulations; new parameterizations must be developed that accurately represent the physics. Here we present novel high resolution observations showing the detailed process of subduction and initial evolution of warm Pacific-origin water in the southern Beaufort Gyre. Warming ocean water plays a significant role in accelerating Arctic sea ice melt. Here the authors present detailed observations of warm water of Pacific origin entering and diving beneath the Arctic ocean surface, and explore the dynamical processes governing its evolution.

Movement patterns of marine fish are often difficult to accurately define given seasonal variation, ontogenetic shifts, and changing environmental conditions. However, outlining movement is crucial for understanding population dynamics, as well as for conservation and management efforts. Here, we evaluate seasonal adult movement and juvenile spatial distribution of Pacific cod (Gadus macrocephalus), a highly mobile and commercially important species, by developing and applying a genotyping‐in‐thousands by sequencing (GT‐seq) panel. This panel identifies four genetically distinct stocks within Alaska waters with high confidence in assignment (97% average accuracy across stocks). The application of this panel to adult, summer‐caught Pacific cod identified limited seasonal movement within and between populations, with the exception of those in the Northern Bering Sea (NBS). Two stocks occupied this region during the summer, non‐spawning season, and mixed at variable proportions in a west‐to‐east gradient potentially tied to the directionality of sea‐ice retreat in the NBS. Juvenile results indicated that although a predominant westward advection of larvae was prevalent in the Gulf of Alaska (GOA), two major deviations from this overall trend were apparent: (i) an eastward advection of a western GOA stock into the eastern GOA that varied interannually and (ii) a consistently high proportion of eastern GOA individuals in a western GOA narrow strait. These two deviating patterns suggest that mesoscale oceanographic processes play an important role in transport dynamics in the GOA that may be contrary to patterns expected based on the prevailing current. Taken together, our study provides novel insights into the movement dynamics of Pacific cod that can be leveraged by managers to help guide decision‐making for the species. Additionally, this inexpensive genetic panel can continue to be applied to further explore important questions about the ecology of Pacific cod in Alaska waters.

Lagrangian surface drifters are powerful tools to study the dynamics of the ocean across a variety of spatial and temporal scales, ranging from regional to global and monthly to climatological, respectively. This dissertation investigates the utility of Lagrangian surface drifters for estimating the mechanical input of energy into the ocean by the atmosphere, and for gathering information about the underlying dynamics driving oceanic variability. The basis for the analysis was a large dataset of 88 surface drifters deployed in the subpolar North Atlantic between 2018 and 2019. In addition, numerical drifters from both idealized and realistic ocean models were used to supplement the observations. The study region is characterized by pronounced mesoscale eddy activity and, due to its proximity to the North Atlantic storm track, strong atmospheric storms causing energetic near-inertial oscillations. It is hence well-suited for the analyses presented here. We introduced a novel surface drifter instrument, the Minimet, that measures sea surface wind in situ along the drifter track. Estimates of in situ Minimet wind power input were found to be over 40\\% higher than those using a reanalysis wind product. This discrepancy was likely due to Minimets accurately capturing strong high-frequency wind events that were misrepresented in the reanalysis product, highlighting the utility of the Minimets for both wind power input calculations and the important validation of gridded wind products.We currently lack a basic understanding of the Lagrangian velocity frequency spectrum and how it relates to the underlying dynamics. We therefore investigated the Lagrangian spectral shape and found significant variability linked to eddy kinetic energy. Lastly, we established a direct link between the Lagrangian velocity frequency spectrum and Eulerian kinetic energy wavenumber spectrum. This link had not previously been made from single particles and together with a better understanding of the Lagrangian frequency spectrum furthers our ability to efficiently utilize Lagrangian data.

The observed development of deep mixed layers and the dependence of intense, deep-mixing events on wind and wave conditions are studied using an ocean LES model with and without an imposed Stokes-drift wave forcing. Model results are compared to glider measurements of the ocean vertical temperature, salinity, and turbulence kinetic energy (TKE) dissipation rate structure collected in the Icelandic Basin. Observed wind stress reached 0.8 N m −2 with significant wave height of 4–6 m, while boundary layer depths reached 180 m. We find that wave forcing, via the commonly used Stokes drift vortex force parameterization, is crucial for accurate prediction of boundary layer depth as characterized by measured and predicted TKE dissipation rate profiles. Analysis of the boundary layer kinetic energy (KE) budget using a modified total Lagrangian-mean energy equation, derived for the wave-averaged Boussinesq equations by requiring that the rotational inertial terms vanish identically as in the standard energy budget without Stokes forcing, suggests that wind work should be calculated using both the surface current and surface Stokes drift. A large percentage of total wind energy is transferred to model TKE via regular and Stokes drift shear production and dissipated. However, resonance by clockwise rotation of the winds can greatly enhance the generation of inertial current mean KE (MKE). Without resonance, TKE production is about 5 times greater than MKE generation, whereas with resonance this ratio decreases to roughly 2. The results have implications for the problem of estimating the global kinetic energy budget of the ocean.

Over 35 years ago, the influential Ocean Storms Experiment (OSE) in the Northeast Pacific documented, for the first time, the generation of near-inertial waves (NIWs) by a storm and the subsequent radiation of the waves away from the forcing. The NIWs were observed to radiate equatorward and downward, consistent with the theory of β-refraction, which attributes such NIW propagation to the gradient in Earth’s planetary vorticity, β. Surprisingly, there was no evidence that gradients in the vorticity of mesoscale eddies in the region affected the NIWs, despite the fact that these gradients were nearly 10 times larger than β. In contrast, NIWs observed in the recent Near-Inertial Shear and Kinetic Energy in the North Atlantic Experiment (NISKINe) were strongly affected by the mesoscale eddy field in the region. In this article we explain the distinct behavior of the NIWs observed in the two experiments through a careful reanalysis of the observations, which are then interpreted using simulations and NIW-mean flow interaction theory. The observed differences can be partially attributed to how NIWs were measured in the two experiments. But more interestingly, we find that wind energy was injected primarily into low vertical modes during OSE and more broadly into higher modes during NISKINe. This, combined with the stronger stratification in the Northeast Pacific, implies that NIWs are more dispersive and hence less susceptible to being modified by vorticity there than they are in the North Atlantic.

We construct a generalized slab model to calculate the ocean’s linear response to an arbitrary, depth-variable forcing stress profile. To introduce a first-order improvement to the linear stress profile of the traditional slab model, a nonlinear stress profile, which allows momentum to penetrate into the transition layer (TL), is used [denoted mixed layer/transition layer (MLTL) stress profile]. The MLTL stress profile induces a twofold reduction in power input to inertial motions relative to the traditional slab approximation. The primary reduction arises as the TL allows momentum to be deposited over a greater depth range, reducing surface currents. The secondary reduction results from the production of turbulent kinetic energy (TKE) beneath the mixed layer (ML) related to interactions between shear stress and velocity shear. Direct comparison between observations in the Iceland Basin, the traditional slab model, the generalized slab model with the MLTL stress profile, and the Price–Weller–Pinkel (PWP) model suggest that the generalized slab model offers improved performance over a traditional slab model. In the Iceland Basin, modeled TKE production in the TL is consistent with observations of turbulent dissipation. Extension to global results via analysis of Argo profiling float data suggests that on the global, annual mean, ∼30% of the total power input to near-inertial motions is allocated to TKE production. We apply this result to the latest global, annual-mean estimates for near-inertial power input (0.27 TW) to estimate that 0.08 ± 0.01 TW of the total near-inertial power input are diverted to TKE production.

The Minimet is a Lagrangian surface drifter measuring near-surface winds in situ. Ten Minimets were deployed in the Iceland Basin over the course of two field seasons in 2018 and 2019. We compared Minimet wind measurements to coincident ship winds from the R/V Armstrong meteorology package and to hourly ERA5 reanalysis winds and found that the Minimets accurately captured wind variability across a variety of time scales. Comparisons between the ship, Minimets, and ERA5 winds point to significant discrepancies between the in situ wind measurements and ERA5, with the most reasonable explanation being related to spatial offsets of small-scale storm structures in the reanalysis model. After a general assessment of the Minimet performance, we compare estimates of wind power input in the near-inertial band using the Minimet winds and their measured drift to those using ERA5 winds and the Minimet drift. Minimet-derived near-inertial wind power estimates exceed those from Minimet drift combined with ERA5 winds by about 42%. The results highlight the importance of accurately capturing small-scale, high-frequency wind events and suggest that in situ Minimet measurements are beneficial for accurately quantifying near-inertial wind work on the ocean.

An 18-month deployment of moored sensors in Iceland Basin allows characterization of near-inertial (frequencies near the Coriolis frequency f with periods of ~14 h) internal gravity wave generation and propagation in a region with an active mesoscale eddy field and strong seasonal wind and heat forcing. The seasonal cycle in surface forcing deepens the mixed layer in winter and controls excitation of near-inertial energy. The mesoscale eddy field modulates near-inertial wave temporal, horizontal, and vertical scales, as well as propagation out of the surface layer into the deep permanent pycnocline. Wind-forced near-inertial energy has the most active downward propagation within anticyclonic eddies. As oceanic surface and bottom boundaries act to naturally confine the propagation of internal waves, the vertical distribution of these waves can be decomposed into a set of “standing” vertical modes that each propagate horizontally at different speeds. The lowest modes, which propagate quickly away from their generation sites, are most enhanced when the mixed layer is deep and are generally directed southward.