Paper
7 December 2022 The Black Sea level trends according to altimetry data after removing dynamic noise
Author Affiliations +
Proceedings Volume 12341, 28th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics; 123414Q (2022) https://doi.org/10.1117/12.2644999
Event: 28th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics, 2022, Tomsk, Russia
Abstract
The interannual variability of the World Ocean mean level, according to altimeter data was 3.35 ± 0.4 mm/year at a 90% confidence interval, and the trend acceleration was 0.12 ± 0.07 mm/year2 for 1993-2018. Regional variability tends to be lower. The linear trend, based on altimetry data, was 3.15 mm/year for the Black Sea during the same period. Simultaneously, based on coastal tide gauge data, the linear trend is much lower than 1.6÷2.2 mm/year. The contribution of freshwater balance variability is roughly the same for both types of data; the difference lies in the additional contribution of the dynamic level, which is recognized by altimetry in more extent than by tidal gauge observations. The work focuses on the impact of dynamic processes of different spatial scales on the interannual variability of the Black Sea level. The influence of mesoscale processes was treated as dynamic noise and was removed by spatial filtering of sea level data. As a result, estimates of linear trends and acceleration of trends (quadratic trend coefficient) and errors of their determination for 95% confidence interval are obtained. Comparison of annual sea level anomalies after filtration with coastal observations clarifies the interannual variability of the Black Sea level.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
E. E. Lemeshko and E. M. Lemeshko "The Black Sea level trends according to altimetry data after removing dynamic noise", Proc. SPIE 12341, 28th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics, 123414Q (7 December 2022); https://doi.org/10.1117/12.2644999
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Satellites

Spatial filters

Environmental monitoring

Oceanography

Solids

Environmental sensing

Water

Back to Top