Bashmachnikov, I. L., Fedorov, A. M., Vesman, A. V., Belonenko, T. V., & Dukhovskoy, D. S. (2019). Thermohaline convection in the subpolar seas of the North Atlantic from satellite and in situ observations. Part 2: indices of intensity of deep convection.
Abstract: Variation in locations of the maximum development of deep convection in the subpolar seas, taking into account their small dimensions, represent difficulty in identifying its interannual variability from usually sparse in situ data. In this work, the interannual variability of the maximum convection depth, is obtained using one of the most complete datasets ARMOR, which combines in situ and satellite data. The convection depths, derived from ARMOR, are used for testing the efficiency of two indices of convection intensity: (1) sea-level anomalies from satellite altimetry and (2) the integral water density in the areas of the most frequent development of deep convection. The first index, capturing some details, shows low correlations with the interannual variability of the deep convection intensity. The second index shows high correlation with the deep convection intensity in the Greenland, Irminger and Labrador seas. Asynchronous variations in the deep convection intensity in the Labrador-Irminger seas and in the Greenland Sea are obtained. In the Labrador and in the Irminger seas, the quasi-seven-year variations in the convection intensity are identified.
Daneshgar Asl, S., Dukhovskoy, D. S., Bourassa, M., & MacDonald, I. R. (2017). Hindcast modeling of oil slick persistence from natural seeps.
Remote Sensing of Environment, 189, 96–107.
Dukhovskoy, D. S., Morey, S. L., & O'Brien, J. J. (2006).
Baroclinic topographic waves on the Nicaragua Shelf generated by tropical cyclones (J. Cote, Ed.). Research Activities in Atmospheric and Ocean Modeling, Report No. 36. Geneva, Switzerland: World Meteorological Organization.
Dukhovskoy, D. S., Morey, S. L., & O'Brien, J. J. (2005).
Topographic Rossby Waves in a Z-Level Ocean Model (J. Cote, Ed.). Research Activities in Atmospheric and Ocean Modeling, Report No. 35. Geneva, Switzerland: World Meteorological Organization.
Dukhovskoy, D. S., Morey, S. L., & O'Brien, J. J. (2005). Topographic Rossby waves in a z-level ocean model.
Eos Trans. AGU, 86(18), Jt. Assem. Suppl., Abstract OS22A–06.
Dukhovskoy, D., Johnson, M., & Proshutinsky, A. (2006). Arctic decadal variability from an idealized atmosphere-ice-ocean model: 2. Simulation of decadal oscillations.
J. Geophys. Res., 111(C6).
Dukhovskoy, D., Johnson, M., & Proshutinsky, A. (2006). Arctic decadal variability from an idealized atmosphere-ice-ocean model: 1. Model description, calibration, and validation.
J. Geophys. Res., 111(C6).
Dukhovskoy, D. S. (2004). Arctic decadal variability: An auto-oscillatory system of heat and fresh water exchange.
Geophys. Res. Lett., 31(3).
Dukhovskoy, D. S., Bourassa, M. A., Petersen, G. N., & Steffen, J. (2017). Comparison of the ocean surface vector winds from atmospheric reanalysis and scatterometer-based wind products over the Nordic Seas and the northern North Atlantic and their application for ocean modeling.
J. Geophys. Res. Oceans, 122(3), 1943–1973.
Dukhovskoy, D. S., Leben, R. R., Chassignet, E. P., Hall, C. A., Morey, S. L., & Nedbor-Gross, R. (2015). Characterization of the uncertainty of loop current metrics using a multidecadal numerical simulation and altimeter observations.
Deep Sea Research Part I: Oceanographic Research Papers, 100, 140–158.