Seasonal Forecasting Engine

Seasonal Forecasting Engine

To our users, the SFE will be accessible through a flexible interface which can be queried to obtain predictions of relevant climate indices and variables. Under the hood, our "engine" consists of statistical algorithms that merge vast amounts of data into unified forecasts. Our team consists of experts in handling big data, statisticians, climatologists, climate modellers, and climate service practitioners. Working in complementary fashion with the international research community, and guided by an international peer advisory committee, we will both improve our own models and, taking existing seasonal forecast ensembles, employ innovative empirical-statistical approaches to make the forecasts better and more relevant for our users.

Project facts


Seasonal Forecasting Engine




01.03.17 - 31.12.21

Total budget

16.000.000 NOK

Research group



Research Council of Norway (RCN)

Project members

Marius Årthun
Francois Stephane Counillon
Thordis Linda Thorarinsdottir