RMI Seminar: The Seamless Prediction Programme at RMI: achievements and the road ahead

Seminar by Dr. Lesley De Cruz & Dr. Michiel Van Ginderachter, RMI

Title: The Seamless Prediction Programme at RMI: achievements and the road ahead


A seamless prediction system aims to make optimal use of today’s rapidly available high-resolution observations, nowcasting algorithms and state-of-the-art convection-permitting NWP models. It provides an integrated, frequently updating, calibrated forecast for lead times from minutes to days, in order to meet the increasing needs of users ranging from our weather office, the regional hydrological agencies, emergency services, and citizens who want to know when to take their bicycle.

The RMI has its own, truly interdepartmental seamless prediction programme. The first phase of this programme focuses on the first 5 minutes to 24 hours of the forecast, and is codenamed Project IMA (Japanese for “now” or “soon”).  

Starting from the observations of our extensive meteorological network, (probabilistic) nowcasts are generated by the pySTEPS and INCA-BE systems, which are adaptively blended with a Mini-EPS (ensemble prediction system) of convection-permitting numerical weather prediction (NWP) models. The latter consists of two configurations of the ACCORD NWP system: AROME and ALARO. These models, with a resolution of 1.3 km and a 3-hourly data assimilation cycle, run robustly in the RMI's NodeRunner system.

We will present the achievements and ongoing work throughout the different scientific services that make Project IMA a reality, and showcase some innovative uses. Finally, we give a sneak preview of what lies ahead for the Seamless Prediction Programme, and the role of artificial intelligence in its future.

When: Friday, November 18, 2022 at 15:00

Where: Conference room at RMI and online

Join Zoom Meeting
Meeting ID: 834 9675 9955
Passcode: 105807




Friday, November 18, 2022 - 15:00 to 17:00

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