EMS Annual Meeting Abstracts
Vol. 21, EMS2024-341, 2024, updated on 05 Jul 2024
https://doi.org/10.5194/ems2024-341
EMS Annual Meeting 2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Oral | Wednesday, 04 Sep, 09:30–09:40 (CEST)
 
Room Paranimf

From deterministic forecasts to probabilistic impact-based forecasts in meteorology: Theory and practice

Filip Bukowski
Filip Bukowski
  • Trinity College Dublin, Geography, Ireland (bukowskf@tcd.ie)

Modern weather forecasts and warnings are essential for billions of people around the globe, providing information about daily conditions as well as possible hazards. Despite the significance, they struggle with the challenge of in-complete accuracy in communication due to several factors, such as atmospheric unpredictability, data interpretation, uncertainty of composing forecasts, and forecast interpretation (Gill et al., 2008, p. 6). This study critically examines the prevalent deterministic approach in public meteorological communication, often presenting predictions as definite. The author explores the necessity for a shift towards uncertainty-informed impact-based forecasts, advocated by the World Meteorological Organization (WMO, 2021). Through multidisciplinary inquiry, this research reveals deterministic forecasts' limitations in conveying uncertainty sources, eroding public trust when forecasts do not align with reality, subsequently hindering decision-making (Burgeno and Joslyn, 2023). In contrast, probabilistic forecasts with transparent uncertainty margins might offer a more nuanced depiction of atmospheric variability, fostering public confidence and reducing bias adjustments. A multidisciplinary approach from cognitive studies, meteorology, and geography is employed to understand how communication induces behavioural responses to ambient and severe weather.

Embracing uncertainty not only enhances forecast accuracy but also facilitates informed prioritisation of precautionary measures, bolstering societal resilience to weather-related hazards. Moreover, integrating uncertainty communication into impact-based forecasts informs broader activities such as transportation planning and emergency preparedness. This is especially important in the case of unlikely yet high-disruption events, as well as highly likely yet limited-disruption events.

The current overview of forecast communication practices from meteorological institutes and agencies across Europe is presented and scrutinised against the existing theoretical basis. Accessible strategies for communication advancement are discussed, and possible future solutions in personalised forecasting are theorised. From a wider perspective, this research aims to guide informed activity in space and in relation to transport choices, ad-hoc plan adjustment, and protective action towards self and personal property.

How to cite: Bukowski, F.: From deterministic forecasts to probabilistic impact-based forecasts in meteorology: Theory and practice, EMS Annual Meeting 2024, Barcelona, Spain, 1–6 Sep 2024, EMS2024-341, https://doi.org/10.5194/ems2024-341, 2024.