Posters - WindEurope Annual Event 2024

Follow the event on:


Come meet the poster presenters to ask them questions and discuss their work

We would like to invite you to come and see the posters at our upcoming conference. The posters will showcase a diverse range of research topics, and will give delegates an opportunity to engage with the authors and learn more about their work. Whether you are a seasoned researcher or simply curious about the latest developments in your field, we believe that the posters will offer something of interest to everyone. So please join us at the conference and take advantage of this opportunity to learn and engage with your peers in the academic community. We look forward to seeing you there!

PO170: A data portal for download and analysis of public MetOcean data

Pierre Swiegers, Senior Metocean Engineer, DHI A/S


We introduce the MetOcean On Demand (MOOD) data portal from which reliable hindcast metocean (wind, wave, current and water level) data, spanning more than 40 years can be instantly downloaded from an interactive map based web interface. Reliable metocean data is vital for resource assessments, environmental assessments, design studies, installation and operations. The MOOD Data Portal is a convenient tool for the extraction of public open and licensed data from global and higher resolution regional datasets. Publicly open metocean datasets (including wind, wave, current and water level) have been hosted since 2018 in the Dutch waters for RVO (Rijksdienst voor Ondernemend Nederland) and elsewhere. The Dutch waters datasets are continually updated and expanded. Datasets are pre-validated against available measurement stations. Validations are presented in dataset validation reports which can be freely downloaded via the via the MOOD Data Portal. The user can conduct additional validation of data against satellite altimeter data as well as against in-situ data which is directly available via the MOOD Data Portal. An Application Programming Interface (API) for downloading data is available, which can be used by users to request multiple datasets programmatically. Timeseries datasets can be downloaded in several formats, including comma separated values (.csv), Matlab format (.mat), Mike Zero timeseries format (.dfs0) and NetCDF format (.nc). Wave conditions can also be downloaded as fully spectral conditions in Matlab format (.mat), Mike Zero grid format (.dfs2) and NetCDF format (.nc). Analytics of the data can be conducted directly through the MOOD Data Portal and the resulting plots and tables can be downloaded. Auto-generated reports can also be configured and integrated as an add-on service.

Event Ambassadors

Follow the event on: