On the retrieval of submesoscale structures of the Black Sea surface velocity fields via variational assimilation of NOAA AVHRR IR image sequences  id статьи: 666
Тип публикации
статья в журнале
Язык
Ru
Журнал
Sovremennye Problemy Distantsionnogo Zondirovaniya Zemli iz Kosmosa

ISSN:2070-7401
Год
2020
Выходные данные
том 17
выпуск 2
страницы 215-226
Абстракт
Information on the velocity fields of surface sea currents is in demand in solving a wide range of oceanographic problems. Nowadays, the main sources of this data are satellite altimetry measurements and results of simulation using marine hydrodynamic models. In addition, in recent years, methods of reconstructing velocity fields by analyzing sequences of satellite images in the optical and infrared bands have been increasingly used. Due to the lack of a priori correct data on surface flow, an actual task is to analyze the accuracy of calculations based on a comparison of the available results obtained from different sources. The paper presents the results of synchronized calculations of the surface current velocity fields in the Black Sea using three data sources. The calculations were carried out for two situations with a minimal cloud cover. For each of them, the following fields were obtained: 1) field calculated from sequences of NOAA AVHRR images in the IR range using the 4-D variational assimilation technique; 2) simulated field corresponding to an upper model layer of 2.5 meters; 3) geostrophic component of the surface flow velocity obtained via satellite altimetry. Similarities and differences of mesoscale structures in the obtained fields were demonstrated. The paper may be interesting to the specialists in the field of marine hydrodynamics, as well as to anyone interested in algorithms for restoring the speed of objects on the earth's surface using a series of satellite images.
Ключевые слова
OPTICAL FLOW ESTIMATION, VARIATIONAL DATA ASSIMILATION, AVHRR IMAGES, SEA SURFACE CURRENTS, SATELLITE ALTIMETRY, BLACK SEA CIRCULATION
Дата занесения
2020-08-04 15:18:42
Scopus
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