Contextualising seasonal forecasts to accelerate their uptake for agricultural decision-making

2025/12/09 by Ignacio Saldivia Gonzatti, Wouter Smolenaars, Christian Siderius +2 · 1 voice
Agricultural and Biological Sciences · Decision Sciences · Environmental Science · #Climate change impacts on agriculture #Climate variability and models #Forecasting Techniques and Applications

paper · doi:10.1088/1748-9326/ae2a52

openalex created_date 2025/12/09 · openalex publication_date 2025/12/09 · crossref created 2025/12/09 · crossref issued 2026/01/01 · crossref published 2026/01/01 · crossref published-print 2026/01/01 · crossref published-online 2026/01/02 · crossref deposited 2026/01/02 · crossref indexed 2026/01/02 · openalex updated_date 2026/07/26

Citations

• Skilful global seasonal predictions from a machine learning weather model trained on reanalysis data
• On the reliability of Seasonal Climate Forecasts

Discussions

• 'We emphasise the importance of assessing skill at the indicator level, exposing the full forecast probability distribution, and integrating forecasts with crop models to inform decisions such as plan [bsky, 1 points, 0 comments]