Articles | Volume 5-opsr
https://doi.org/10.5194/sp-5-opsr-7-2025
https://doi.org/10.5194/sp-5-opsr-7-2025
02 Jun 2025
 | OPSR | Chapter 4.1
 | 02 Jun 2025 | OPSR | Chapter 4.1

Connecting ocean observations with prediction

Pierre-Yves Le Traon, Antonio Novellino, and Andrew M. Moore

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Cited articles

Aouf, L., Hauser, D., Chapron, B., Toffoli, A., Tourain, C., and Peureux, C.: New Directional Wave Satellite Observations: Towards Improved Wave Forecasts and Climate Description in the Southern Ocean, Geophys. Res. Lett., 48, e2020GL091187, https://doi.org/10.1029/2020GL091187, 2021. 
Bell, M. J., Le Traon, P.-Y., Smith, N. R., Dombrowsky, E., and Wilmer-Becker, K.: An introduction to GODAE oceanview, J. Oper. Oceanogr., 8, 2–11, https://doi.org/10.1080/1755876X.2015.1022041, 2015. 
Belmonte Rivas, M. and Stoffelen, A.: Characterizing ERA-Interim and ERA5 surface wind biases using ASCAT, Ocean Sci., 15, 831–852, https://doi.org/10.5194/os-15-831-2019, 2019. 
Benkiran, M., Le Traon, P.-Y., and Dibarboure, G.: Contribution of a constellation of two wide-swath altimetry missions to global ocean analysis and forecasting, Ocean Sci., 18, 609–625, https://doi.org/10.5194/os-18-609-2022, 2022. 
Chen, J., Ashton, I. G. C., Steele, E. C. C., and Pillai, A. C.: A Real-Time Spatiotemporal Machine Learning Framework for the Prediction of Nearshore Wave Conditions, Artificial Intelligence for the Earth Systems, 2, e220033, https://doi.org/10.1175/AIES-D-22-0033.1, 2023. 
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Ocean prediction relies on the integration between models and satellite and in situ observations through data assimilation techniques. The authors discuss the role of observations in operational ocean forecasting systems, describing the state of the art of satellite and in situ observing networks and defining the paths for addressing multi-scale monitoring and forecasting.
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