Preprints
https://doi.org/10.5194/sp-2024-21
https://doi.org/10.5194/sp-2024-21
19 Sep 2024
 | 19 Sep 2024
Status: this preprint is currently under review for the journal SP.

An Introduction to Operational Chains in Ocean Forecasting

Liying Wan, Marcos Garcia Sotillo, Mike Bell, Yann Drillet, Roland Aznar, and Stefania Ciliberti

Abstract. Operating the ocean value chain requires implementation of steps that must work systematically and automatically to generate ocean predictions and delivers ocean data information in standard format. This task, that represent the backbone of operational forecasting systems, implies the design of robust workflows, that organize pre-processing of the upstream data, run of the core models and post-processing before the final delivery. Operational chains require dedicated computational resources to supply demanding modelling runs but also processing and analysis of big volume of data, in relation to the specific spatial scale and consistently for the forecast lead times. The monitoring of each step of the workflow through key performance metrics can support not only the timely delivery but also identifying problems and troubleshooting. The paper illustrates the main challenges foreseen by operational chains in integrating complex numerical frameworks from global to coastal scale and discusses on existing tools that facilitate orchestration of operational chain components, including examples of existing systems and their consolidated capacity in providing high quality and timely ocean forecasts.

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Liying Wan, Marcos Garcia Sotillo, Mike Bell, Yann Drillet, Roland Aznar, and Stefania Ciliberti

Status: open (until 14 Nov 2024)

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Liying Wan, Marcos Garcia Sotillo, Mike Bell, Yann Drillet, Roland Aznar, and Stefania Ciliberti
Liying Wan, Marcos Garcia Sotillo, Mike Bell, Yann Drillet, Roland Aznar, and Stefania Ciliberti

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Short summary
Operational ocean forecasting systems integrate advanced numerical modelling, aimed at resolving ocean dynamics and processes from global to coastal scale, and robust computational suites that are devoted to run models, orchestrating different data pre- and post-processing blocks, with the ultimate goal of providing high quality and reliable ocean forecasts. The main phases of its workflow are: pre-processing, modelling component(s) run, and post-processing.
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