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Alexey S. Mironov

Publications and source records attributed to Alexey S. Mironov.

2 recordsLinked to original sources

Surface Stokes drift from compact drifting wave buoys

Surface Stokes drift depends strongly on the energy and directions of short waves, which are incompletely resolved by routine wave observations. We derive surface Stokes drift vectors from wave measurements collected by compact drifting buoys during three deployments in the North-East Atlantic and the Alboran Sea. The calculation uses vertical-acceleration spectra and first directional Fourier moments, which describe the mean wave direction and directional concentration at each frequency; it accounts for the Doppler shift caused by buoy motion relative to the water and adds a calibrated high-frequency tail above an intrinsic frequency of 0.7 Hz. Across 13,139 records, the median estimated speed is 0.081 m/s at a median wind speed of 6.8 m/s. Over the measured band of 0.04-1 Hz, accounting for wave directions reduces the magnitude by a median 39% relative to the unidirectional assumption. The median ratio of the parameterised tail magnitude above 0.7 Hz to the total estimated magnitude is 0.37. Comparisons with WAVEWATCH III and Copernicus Marine MFWAM show strong covariation and similar wind-dependent differences from the buoy-derived estimates. On the station-matched sample from the two Atlantic deployments, WAVEWATCH III directional spectra indicate that these differences within the compared band arise mainly from spectral levels rather than from net directional reduction. The observations provide constraints for model evaluation; the contribution of the unresolved short waves remains sensitive to the assumed spectral tail and its directional spreading.

physics.ao-ph↗

Wind vector retrieval from miniaturized wave-enabled sea-surface drifters

Open-ocean in situ winds are sparse, limiting the calibration and validation of satellite wind products. We evaluate wind-vector retrieval from MELODI (Miniaturized Electronics Lagrangian Oceanographic DrIfter), a compact freely drifting GNSS/IMU wave buoy. Wind speed is inferred from the shape of the measured wave acceleration spectrum. A regularized regression with a gated nonlinear correction (Wind Inversion using Tikhonov Regularization, WITR), trained on scatterometer winds and evaluated by leave-one-buoy-out cross-validation against ASCAT MetOp-B/C and HY-2B/C, gives a root-mean-square difference (RMSD) of 0.91 m/s. Symbolic regression distills the trained model into compact spectrum-only and motion-enhanced equations suitable for onboard use; the reduced drag law gives 0.93-0.94 m/s. Wind direction is estimated, without any fitted reference-wind regression, from IMU-derived directional wave moments in the 0.60-0.90 Hz wind-sea band, with a circular mean absolute angular difference (MAAD) of 9.4 degrees against ASCAT. These differences are comparable to published scatterometer-moored-buoy comparisons and improve substantially on the traditional single-band Toba inversion. Validation is strongest from 4 to 14 m/s and sparse above approximately 16 m/s; stronger winds are assigned low confidence. The results show that small wave-sensing drifters can provide useful wind-vector observations for satellite calibration and validation, although stronger-wind sampling and independent anemometer validation remain priorities.

physics.ao-ph↗