Adding Jakes paper

src/data/papers-citing-parcels.ts

@@ -2587,6 +2587,16 @@ export const papersCitingParcels: Paper[] = [
     abstract:
       'Terrestrial parasites enter marine habitats through freshwater runoff, posing a threat to marine mammals. Toxoplasmosis, caused by Toxoplasma gondii, causes 40% of adult female Hawaiian monk seal (HMS) mortalities in the main Hawaiian Islands (MHI). While HMS infection occurs through consuming infected prey or seawater, oocyst transport in marine settings remains poorly understood. This study is the first to characterize T. gondii oocyst connectivity and transport in Hawaiian waters, emphasizing how ocean conditions influence oocyst distribution. We employed a particle tracking model with the Regional Ocean Modeling System (ROMS), comparing 2 configurations—unnested ocean model with coarse horizontal resolution (4 km), and nested (200 m) setup utilizing ocean currents in a specific region at finer horizontal resolution—to evaluate the impact of ocean model resolution on oocyst transport. Two particle input scenarios were tested: constant and variable, with the latter based on output from an oocyst hydrological model for O‘ahu. ROMS grid resolution had a greater impact on connectivity than initial particle input, indicating that finer ocean models simulate reduced connectivity and increased retention in nested simulations by capturing complex bathymetry and local physical conditions. We observed consistent retention for all islands and simulations, with limited connectivity between Ni‘ihau, Kaua‘i, and other MHI, suggesting local infection sources. Potential high accumulation areas include west Kaua‘i and east, south, and southwest O‘ahu, driven by interannual wind and associated eddy variability and steep nearshore bathymetry. This research highlights the role of particle transport models in evaluating parasite distributions and aiding marine mammal conservation.',
   },
+  {
+    title:
+      'Generation of Fine-Scale Thermohaline Variability in the Antarctic Circumpolar Current',
+    published_info: 'Journal of Physical Oceanography, 55, 2245–2268',
+    authors:
+      'Jakes, MI, HE Phillips, A Foppert, NL Bindoff, KL Polzin, J Wyatt, SR Rintoul, Y-T Tranchant (2025)',
+    doi: 'https://doi.org/10.1175/JPO-D-25-0061.1',
+    abstract:
+      'Vertical profiles of temperature T and salinity S in the ocean commonly exhibit fine-scale variability in the form of interleaving, with cold and fresh layers in between warm and salty. These features are widespread in the Southern Ocean, particularly in the Polar Front Zone of the Antarctic Circumpolar Current (ACC) and in energetic regions downstream of complex topography. Interleaving is a signature of cross-frontal exchange—with potentially significant contributions to poleward heat transport, mixing, and water mass transformation in the frontal regions. With typical time scales on the order of days and vertical scales of O(10) m in the upper 1000 m of the ACC, interleaving features are not captured in global climate models and their generation mechanism remains unclear. Motivated by in situ observations of thermohaline interleaving in the Southern Ocean, we use a Lagrangian particle-tracking approach to demonstrate the generation of interleaving features by isopycnal stirring and chaotic advection. Particles are advected backward-in-time along-isopycnal surfaces, using realistic gradient wind velocities from SatGEM-2—a full-depth time-evolving representation of Southern Ocean T–S and velocity fields, constructed from observations. With the addition of small-scale perturbations to the velocity field, accounting for unresolved motions, interleaving features develop on time scales of <10 days in the energetic meander regions of the ACC—highlighting the importance of small-scale processes in reproducing the observed variability. While characteristics of the large-scale thermohaline and velocity field are important, we show how transient features of the flow field cause particle dispersion and mediate cross-frontal exchange processes within the energetic meanders.',
+  },
   {
     title:
       'Dispersion monitoring services in the Mediterranean Sea: A multi-model statistical approach',