Publisher
Springer Science and Business Media LLC
Subject
Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition,Software
Reference31 articles.
1. Galanis, G., Emmanouil, G., Chu, P.C., et al.: A new methodology for the extension of the impact of data assimilation on ocean wave prediction. Ocean Dyn. 59, 523–535 (2009). https://doi.org/10.1007/s10236-009-0191-8
2. Moore, A.M., Martin, M.J., Akella, S., Arango, H.G., Balmaseda, M., Bertino, L., Ciavatta, S., Cornuelle, B., Cummings, J., Frolov, S., Lermusiaux, P., Oddo, P., Oke, P.R., Storto, A., Teruzzi, A., Vidard, A., Weaver, A.T.: Synthesis of ocean observations using data assimilation for operational, real-time and reanalysis systems: a more complete picture of the state of the ocean. Front. Mar. Sci. 6, 90 (2019). https://doi.org/10.3389/fmars.2019.00090
3. Aragh, S., Nwogu, O., Lyzenga, D.: Improved Estimation of Ocean Wave Fields From Marine Radars Using Data Assimilation Techniques. Paper presented at the The Eighteenth International Offshore and Polar Engineering Conference, Vancouver, Canada (2008)
4. Caires, S., Marseille, G.J., Verlaan, M., Stoffelen, A.: North Sea wave analysis using data assimilation and mesoscale model forcing winds. J. Waterway Port Coast. Ocean Eng. (2018). https://doi.org/10.1061/(ASCE)WW.1943-5460.0000439
5. European Space agency, ERS 1 and ERS2 SAR. http://www.esa.int/Applications/Observing_the_Earth/ERS_1_and_2Sulu. Sea, Last accessed May 5th 2021