Numerical Weather Prediction atmospheric models ICON, COSMO, WRF for short & medium range forecast in high-resolution (down to 1 km incl. nested domains)
A Leading Weather
Software Solution Provider
Software Solution Provider
Our solution makes Numerical Weather Prediction (NWP) accessible to everyone. We design and implement a high-performance computing (HPC) system based on high-end HPC hardware, including high-speed InfiniBand connections optimized for specific applications. The system includes NWP models prepared for operational usage, allowing users to take NWP to a higher level of detail. The system features intuitive monitoring and diagnostic tools that enable users to quickly identify and resolve any potential issues. Additionally, IBL offers services to assist with the administration of the entire HPC system or can fully manage its maintenance for you.
To maximize price/performance ratio of the modelling solution, a detailed analysis is carried out first to determine the amount of computing power necessary to fulfil modelling goals. Our specialists understand the architecture of HPC systems, their limits & performance in real modelling applications. The analysis is based on our expert knowledge of hardware scalability, modelling software scalability, dimensions of the modelling domain, and its temporal and spatial resolution. This allows for the proposal of a solution with optimal performance that fits the user’s needs.
Software framework developed by IBL for operating regional and local model suites, bringing high flexibility, extensibility & robustness:
While traditional deterministic models provide a single vision of future development, they do not provide information on the probability of this particular forecast. Ensemble prediction systems based on a multi-model or multi-boundary approach, perturbed physics, or their combinations address the likelihood of the event by analysing the instability of initial conditions. Tailored Numeric Weather solution provides the design & implementation of a custom ensemble predictions system (EPS) for operational forecasting. Moreover, ensemble products for parameters such as temperature, wind gusts, cloud cover, precipitation, and CAPE could be quantified as ensemble mean, minimum, maximum, interquartile range, exceedance probability (threshold) or percentile.
Models executed within the Numeric Weather system can assimilate a wide range of high-resolution observations. Leveraging the EPS with the data assimilation procedures could significantly improve short-term weather forecasts, especially for severe weather events in the region. This may enhance life and property-saving actions and offer valuable information for decision-makers, especially in the energy and transport industries.
