Croatia's DHMZ launched a nationwide 3-day AI/ML air-quality forecast (PM2.5, PM10, NO2, O3) on 17 Jan 2025, adapting Belgium's EU-funded ATMOSYS system. 85% EU-financed under the AIRQ project; the underlying model is documented to struggle with peak pollution events.
Details
Maturity
Established
Promoter
Croatian Meteorological and Hydrological Service (DHMZ), with VITO / IRCEL-CELINE (Belgium)
Period
Launched 17 January 2025 (EU AIRQ project); underlying ATMOSYS system built 2010-2013
Keywords
environment, public health, meteorology, machine learning
Context
Croatia's national weather service DHMZ launched a public three-day air-quality forecast on 17 January 2025, covering PM2.5, PM10, nitrogen dioxide and ground-level ozone nationwide, running on Croatia's adaptation of ATMOSYS, built under the EU-cofinanced AIRQ project.
Activities
ATMOSYS originates in Belgium, where VITO, IRCEL-CELINE and VMM built it 2010-2013 under an EU LIFE+ grant, continuing to develop it into an operational forecasting system using gated recurrent unit neural networks for multi-day pollution prediction.
Conclusions
Croatia's adoption of the same modelling lineage for a national public forecast is a direct case of cross-border technology transfer, though neither operator has published country-specific accuracy figures, and the forecast chain 'has difficulties forecasting certain peak pollution events'.
Implementation
Indicative cost
Low (< €50k) — AIRQ project financed 85% by EU funds, remainder national; the underlying ATMOSYS system was originally built under a EUR 2.3 million EU LIFE+ grant (2010-2013).
Time to results
Medium (1–3 years) — Nationwide 3-day forecast launched 17 January 2025, adapting a system operational in Belgium since 2013.
Staffing & skills
DHMZ meteorological analysts, VITO/IRCEL-CELINE technical support (Belgium)
Conditions for success
cross-border adoption of a proven ATMOSYS modelling lineage
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