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MOOD 2022 Webinar
We are very pleased to invite you to join this MOOD 2022 webinar. We have passed 2,000 users and in this online session you will be inspired by other users, learn about new and coming features and datasets, and get the opportunity to raise your burning questions to the team behind.

The main topics of the MOOD 2022 webinar are:

• Introduction/agenda
• New and coming features and datasets
• Perspectives
• User stories (2-3 speakers from industry)
• Q&A

In this free 45-minute webinar, you will gain powerful insight into how the updated portal works and get the latest developments covering valuable new and updated datasets, such as a new Global model forced by ERA5, new models for Japan, Taiwan models incl. typhoons forced by WRF, the Middle East Gulf, and the Black Sea.

We will also introduce exciting new features, such as, multi-point and multi-dataset download, new map visuals, additional analytics, improved file formats, direct download of public/free data, and how to access 2D wave spectra. We will allow time for questions and answers.

What will you gain?

• Optimized workflow for data download
• Information on the new datasets and features
• News on what is planned (updates in 2024)
• Learn from other users
• Learn how it can be customized to your project

This webinar is held in association with Energy Cluster Denmark
Please choose only one webinar to attend.
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Patrick Dich Grode
Product Manager, DHI Metocean Data Portal @DHI A/S
Patrick Dich Grode is one of the initiators and the product manager of the DHI Metocean Data Portal. Patrick has more than 20 years of professional experience in metocean engineering including ocean and wave modelling, data management, advanced analytics, and project management.
Jacob Berg Jørgensen
Head of Metocean @DHI A/S
Jacob Berg Jørgensen is Head of the Metocean Department, Offshore Wind, DHI-DK and has a long background in academia at DTU Wind Energy. Jacob has strong expertise in atmospheric turbulence, wind power meteorology, numerical simulations, and statistical modeling of metocean conditions (including extreme value estimation).