Assessment of satellite and ground-based estimates of surface currents
Paper in proceeding, 2016

Estimation of surface currents still presents a challenge. In this work validates surface current estimates from the Maximum Cross Correlation (MCC) method, that uses spaceborne radiometer data, against ground-based retrievals from a High Frequency (HF) radar system. Moreover, these datasets have been compared with surface current data from two assimilated satellite products and four weather prediction models. The comparison shows large differences in the spatial resolution and the location of specific features. It is concluded that the variation of the observations may be due to the difference between the measuring or estimated method used in each case and the forces driving them.

High frequency radar

Surface current

Maximum Cross Correlation

Author

Gisela Carvajal

Chalmers, Earth and Space Sciences, Radar Remote Sensing

Monika Wozniak

Chalmers, Earth and Space Sciences, Radar Remote Sensing

Céline Heuzé

University of Gothenburg

Leif Eriksson

Chalmers, Earth and Space Sciences, Radar Remote Sensing

Johan Kronsell

SMHI

Bengt Rydberg

Möller Data Workflow Systems

36th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016; Beijing; China; 10-15 July 2016

2153-7003 (ISSN)

Vol. 2016-November Art no 7730220, Pages 4675-4678

Understanding ocean surface dynamics with satelite data

Swedish National Space Board (167/14), 2015-01-01 -- 2019-03-31.

Driving Forces

Sustainable development

Areas of Advance

Transport

Subject Categories

Earth and Related Environmental Sciences

Oceanography, Hydrology, Water Resources

DOI

10.1109/IGARSS.2016.7730220

More information

Latest update

11/14/2024