Author(s): Valvanuz Fernandez Quiruelas; Fernando Mendez Incera; Laura Cagigal Gil; Paula Camus Brana; Javier Tausia Hoyal And Antonio Cofino Gonzalez

Linked Author(s): Valvanuz Fernandez-Quiruelas

Keywords: Offshore wind platforms BlueMath-HUB python hybrid models statistical downscaling weather-based climate emulators

Abstract: The design of offshore wind platforms requires the use of robust statistical and numerical analysis tools that provide a comprehensive understanding of the wind and wave climate across various spatial scales (regional, local, high resolution) and temporal scales (daily, intraannual, interannual variability, and climate change projections). Tools that facilitate the analysis of multivariate met-ocean climatic drivers acting at multiple spatial and temporal scales are key for predicting wind and wave climate. The development of applications for analyzing wind and wave patterns in a changing climate demand not only accessibility to such tools but also the flexibility to combine them seamlessly to generate valuable insights and creative solutions. BlueMath-Hub arises in this context as a collaborative platform of many research groups and universities around the world working together to democratize the access to advanced models and services, empowering both researchers and non-specialists to generate customized, complex solutions. With ongoing contributions and the constant development of BlueMath, BlueMath-Hub promotes collaboration and innovation among scientists while enabling a more resilient future through easily accessible, customizable and scalable solutions.

DOI:

Year: 2025