Adding Reijnders papers

Author: erikvansebille

src/data/papers-citing-parcels.ts

@@ -2772,4 +2772,14 @@ export const papersCitingParcels: Paper[] = [
     abstract:
       'Macroalgal carbon export estimates make assumptions about lateral transport away from the coast and vertical export to deep ocean sinks. Yet, few studies have resolved these pathways. This paper tests lateral surface transport and vertical export assumptions using the Southwest Greenland continental shelf and the Labrador Sea as a testbed. Macroalgae grow on Greenlands rocky shoreline and previous studies have documented oceanographic connectivity between coastal and offshore regions. This study analyzed 1380 Sentinel-2 satellite images to find 7973 patches of floating macroalgae on the SW Greenland shelf and in the Labrador Sea, providing evidence of their presence on the shelf and offshore waters. Since satellite imagery provides a snapshot of macroalgal positions at a given time, 305 surface drifter trajectories and a Lagrangian particle tracking model (LPTM) are used to quantify residence times and transport pathways. The average drifter-derived surface residence times on the SW Greenland shelf and the Labrador Sea are 12.1 days and 63.6 days, respectively. Applying results from studies of macroalgal longevity, the drifter-derived residence times suggest that macroalgae can remain intact during their transit of the shelf, allowing them to sink in deeper water offshore. The LPTM traced the origins and pathways of selected patches in June 2018. To explore vertical export mechanisms, a Large Eddy Simulation revealed that deep convection can transport buoyant macroalgae to depths where their gas vesicles implode, expediting sinking. These interdisciplinary findings indicate that Greenlands macroalgal ecosystems can supply detrital carbon to the adjacent shelf and open ocean and highlight the importance of testing key transport assumptions used to estimate macroalgal contributions to carbon sequestration.',
   },
+  {
+    title: 'Stability Bias in Lagrangian (Back)tracking in Divergent Flows',
+    published_info:
+      'Journal of Advances in Modeling Earth Systems, 18, e2025MS005470',
+    authors:
+      'Reijnders, D, MC Denes, S Rühs, Ø Breivik, T Nordam, E van Sebille (2026)',
+    doi: 'https://doi.org/10.1029/2025MS005470',
+    abstract:
+      'Forward- and backward-in-time Lagrangian advection, used to determine fate and origin of material in the ocean, are mathematically consistent. However, their numerical computations are hampered by round-off and truncation errors. Trajectory calculations are stable to errors (i.e., errors are dampened) in zones of velocity convergence and unstable (errors are amplified) in regions of divergence. The stability to errors thus flips when time integration is reversed, which, depending on the numerical configuration, can lead to significant discrepancies between forward- and backward-in-time trajectories. As divergence statistics can be asymmetrical and may be inhomogeneously distributed in space, this can lead to what we call the “stability bias.” Using representative numerical set-ups, we show that already for timescales of less than half a year, there can be systematic basin-scale biases in which regions are identified as particle origins or sinks. While the stability bias is linked to divergence, it is not only limited to 2D trajectories in 3D flows, as we discuss how inappropriate treatment of surface boundary conditions in 3D Lagrangian studies can also introduce an effective non-zero divergence. Backtracking is typically applied to material that has accumulated in convergent zones, for which the stability bias especially impedes source attribution studies. Furthermore, we show how discrepancies between forward and backward trajectories can make a Bayesian approach to backtracking unsuitable. We advise modelers to routinely compare forward- and backward trajectories and assess the bias in different numerical set-ups to increase study robustness. Analytical integration methods are less error-prone and may be preferred over RK4.',
+  },
 ]