Our solutions - Overview

Belgingur has developed a versatile forecasting framework which can be optimized for even the most demanding conditions. Combining ensemble 3D/4D-variational and observation nudging data assimilation methods, along with novel machine learning methods for data post-processing, we can offer forecast solutions tailored to the varied needs of our customers.

Main pillars

Operational weather forecasts

Belgingur has created a novel weather forecasting framework, called Weather On Demand – WOD, that is deployable in the cloud and on in-house hardware and which can be customized for any location world-wide at a very short notice.

Re-analysis of past weather

Atmospheric models can not only be used to create weather forecasts but also to give us a better understanding of past weather patterns. This can be achieved by a method called dynamical downscaling.

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