ISSN 2070-7401 (Print), ISSN 2411-0280 (Online)
Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa


Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2019, Vol. 16, No. 1, pp. 191-201

Thermohaline convection in the subpolar seas of the North Atlantic from satellite and in situ observations. Part 2: indices of intensity of deep convection

I.L. Bashmachnikov 1, 2 , A.M. Fedorov 3, 2 , A.V. Vesman 2, 4, 3 , T.V. Belonenko 3 , D.S. Dukhovskoy 5 
1 St. Petersburg State University, Saint Petersburg, Russia
2 Nansen International Environmental and Remote Sensing Centre, Saint Petersburg, Russia
3 Saint Petersburg State University, Saint Petersburg, Russia
4 State Research Center "Arctic and Antarctic Research Institute", Saint Petersburg, Russia
5 The Center for Ocean-Atmospheric Prediction Studies of the Florida State University, Tallahassee, USA
Accepted: 16.10.2018
DOI: 10.21046/2070-7401-2019-16-1-191-201
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.
Keywords: deep convection, assimilation of satellite data, altimetry, water density, the Greenland Sea, the Labrador Sea, the Irminger Sea
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