Dublin Airport’s weather radar has been offline since Wednesday night, potentially complicating forecasts as parts of the city grapple with recent flooding.
Dublin Airport Radar Failure Amidst Flooding Concerns
The disruption to a key forecasting tool comes after heavy rainfall caused significant flooding in north Dublin.
- Met Éireann confirmed the radar outage, but maintains forecasting capabilities through alternative data sources.
- Heavy rainfall on Thursday night and Friday morning led to flooding in several areas of north Dublin.
- Local government sources criticized the timing of a Status Yellow warning issued early Friday morning.
- Dublin City Council recorded 46mm of rainfall at the Mellowes Road gauge, including 9.6mm in a single hour.
What impact does the radar outage have on weather predictions? Despite the disruption, Met Éireann assures the public that its forecasting abilities remain intact, utilizing data from other weather radar systems in Ireland and the UK, satellite imagery, and reports from ground stations across the country. Numerical weather prediction systems are also operating normally.
Several areas of north Dublin experienced substantial flooding following intense rainfall between Thursday evening and Friday morning. Met Éireann described the weather situation as “complex and evolving,” explaining that the decision to issue a Status Yellow warning at 2:37 a.m. on Friday was made after observing rainfall exceeding initial projections.
Sources within local government expressed concerns on Friday that the warning came too late to adequately prepare for the volume of rainfall. They also suggested that previous warnings had not fully conveyed the potential severity of the situation.
Radar Team Working to Restore Service
Met Éireann stated that its dedicated radar team is working to resolve the issue at Dublin Airport as quickly as possible. The outage began Wednesday night, and a timeline for full restoration has not yet been provided.
The forecaster emphasized its continued ability to monitor and predict weather patterns through a combination of alternative data sources and advanced modeling techniques.
