How big data can improve climate modelling and forecasting, the EMB science brief

To meet the need for better processing and analyzing of marine big data, the researcher’s interdisciplinary framework must be rapidly improved, climate researcher Jerry Tjiputra at NORCE says.

Sist oppdatert: May 29, 2020
Published May 25, 2020
Jerry tjiputra web1
We need to increase collaborations between marine researcher's disciplines. Also, we must find better ways to improve the interdisciplinary framework, says climate researcher Jerry Tjiputra, NORCE. (Photo: Andreas R. Graven)

Vast amounts of marine data are available from different platforms. Ship tracks, satellites, and e.g. various types of ocean profilers monitor our ocean states and deliver data.

However, the increasing volume and diversity of data put pressure on the researcher community, to find better ways to handle big data in science productions.

Improve the workflow of data processing and analysis

Jerry Tjiputra at NORCE (Norwegian Research Centre) in Bergen, recently contributed to an international webinar hosted by the European Marine Board, as the EMB’s Science Brief No. 6 “Big Data in Marine Science” was launched on April 30th.

Tjiputra is a co-author of the science brief, giving his perspectives on how big data can improve climate modeling and forecasting.

The EMB science brief aims to identify where marine science is going for the next years. First of all, Tjiputra highlights the growing need to sustain high-quality data collections and improve the workflow of data processing and analysis.

Not only to make scientific production more efficient but also to improve the quality - and not least - the impact and the applicability of the new research knowledge.

Fig2 2 Big Data
The value chain connecting in situ data collections to high level international climate negotiations. (From the EMB-FSB6)

Train new generations of scientists

In the years to come, big data analysis will be increasingly important in knowledge-based decision making.

– Big data in marine science has great potential to help researchers from different disciplines to identify changes in climate, including ocean warming, carbon uptake by the ocean, the impacts on marine ecosystems, such as ocean acidification, how species migrate, and so on, Tjiputra says.

NORCE researcher Tjiputra is also affiliated with the Bjerknes Centre for climate research.

– We need to increase collaborations between marine researcher's disciplines. Also, we must find better ways to improve the interdisciplinary framework, and train new generations of scientists in using artificial intelligence, machine learning, all the available data in the best possible way, he adds.

Accelerate climate model development

Tjiputra underscores that better data products will accelerate climate model development and make researchers able to deliver more reliable predictions for future scenarios, a changing climate, and climate risks.

In turn, decision-makers will have a better basis for their climate and environmental strategies, policies, and legislation, he says. And not just that: they lay the ground for more applicable, highly relevant science to a broader audience.

Tjiputra’s contribution to the EMB science report is a chapter on the topic of big data in marine climate science, identifying challenges, and how to moving forward in the field.

Tjiputra contributed to the chapter, collaborating with other international marine researchers.