Explaining Surface Layer Theory Departures in Marine Flux Profiles with Data-Driven Discovery
Jack Foxabbott, Leo Mckee-Reid, Andrew Cusick, Robbie McCorkell, Jugal Patel, Jamie Rumbelow, Jessica Rumbelow, Zohreh Shams, Arush Tagade, Patrick Hawbecker, Sue Ellen Haupt

TL;DR
This study reveals frequent deviations from Monin-Obukhov Similarity Theory in coastal marine environments, identified through data-driven discovery, highlighting the need for improved flux parameterizations in these settings.
Contribution
The paper introduces a data-driven approach using the Discovery Engine to identify mechanisms causing departures from MOST assumptions in coastal marine flux profiles.
Findings
Wind speed decreases with height in 20% of observations near shore
Large vertical heat flux gradients occur contrary to MOST predictions
Three mechanisms identified: boundary layers, wave-driven jets, stable boundary layers
Abstract
Monin--Obukhov Similarity Theory (MOST), which underpins nearly all bulk estimates of surface fluxes in the atmospheric surface layer, assumes monotonic wind profiles and vertically uniform momentum and heat fluxes. Here, we show that conditions frequently arise in coastal marine settings where these assumptions do not hold. Using flux measurements from the Coastal Land-Air-Sea Interaction (CLASI) project's Air-Sea Interaction Spar (ASIS) buoys with wind and flux measurements at typically ~3m and ~5m above the sea surface, we find that wind speed decreases with height in nearly 20% of observations, and that large vertical gradients in sensible heat flux occur near the surface, contrary to what would be predicted by MOST. Both anomalies are strongly modulated by coastal proximity and wind direction, with the highest occurrence rates near shore under offshore winds. These patterns were…
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Taxonomy
TopicsOcean Waves and Remote Sensing · Oceanographic and Atmospheric Processes · Tropical and Extratropical Cyclones Research
